Table of Contents

• Anomaly Mining: Past, Present and FutureLeman Akoglu. 1-2 [doi]
• The Primacy of Data in Deep Learning NLP for Conversational AIMark Johnson. 3 [doi]
• Towards Reliable and Practicable Algorithmic RecourseHimabindu Lakkaraju. 4 [doi]
• Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product SearchQingyao Ai, Lakshmi Narayanan Ramasamy. 5-15 [doi]
• Analysing Mixed Initiatives and Search Strategies during Conversational SearchMohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas 0001, Nick Craswell. 16-26 [doi]
• Automated Selection of Multiple Datasets for Extension by IntegrationYael Amsterdamer, Moran Cohen. 27-36 [doi]
• Skyline in Crowdsourcing with Imprecise ComparisonsAris Anagnostopoulos, Adriano Fazzone, Giacomo Vettraino. 37-46 [doi]
• Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential PrivacyHéber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao. 47-57 [doi]
• Non-Visual Accessibility Assessment of VideosAli Selman Aydin, Yu-Jung Ko, Utku Uckun, I. V. Ramakrishnan, Vikas Ashok. 58-67 [doi]
• GAM: Explainable Visual Similarity and Classification via Gradient Activation MapsOren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein. 68-77 [doi]
• Representation Learning via Variational Bayesian NetworksOren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein. 78-88 [doi]
• HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsAnson Bastos, Kuldeep Singh 0001, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang, Johannes Hoffart. 89-99 [doi]
• Influence Maximization With Co-Existing SeedsRuben Becker, Gianlorenzo D'Angelo, Hugo Gilbert. 100-109 [doi]
• Cross-Market Product RecommendationHamed Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan. 110-119 [doi]
• ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanationsRyma Boumazouza, Fahima Cheikh Alili, Bertrand Mazure, Karim Tabia. 120-129 [doi]
• Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam DetectionKai Burkholder, Kenny Kwock, Yuesheng Xu, Jiaxin Liu, Chao Chen, Sihong Xie. 130-139 [doi]
• ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak PriorSurajit Chakrabarty, Rukma Talwadker, Tridib Mukherjee. 140-150 [doi]
• Geometric Heuristics for Transfer Learning in Decision TreesSiddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala. 151-160 [doi]
• LiteGT: Efficient and Lightweight Graph TransformersCong Chen, Chaofan Tao, Ngai Wong. 161-170 [doi]
• Incorporating Query Reformulating Behavior into Web Search EvaluationJia Chen, Yiqun Liu 0001, Jiaxin Mao, Fan Zhang, Tetsuya Sakai, Weizhi Ma, Min Zhang 0006, Shaoping Ma. 171-180 [doi]
• FedMatch: Federated Learning Over Heterogeneous Question Answering DataJiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng. 181-190 [doi]
• HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across ModalitiesJiayi Chen, Aidong Zhang. 191-200 [doi]
• Generative Inverse Deep Reinforcement Learning for Online RecommendationXiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang 0001, Xiwei Xu, Liming Zhu 0001. 201-210 [doi]
• Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling SemanticsYile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison. 211-220 [doi]
• DCAP: Deep Cross Attentional Product Network for User Response PredictionZekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng. 221-230 [doi]
• Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential RecommendationZeyuan Chen, Wei Zhang 0056, Junchi Yan, Gang Wang, Jianyong Wang. 231-240 [doi]
• An Effective Non-Autoregressive Model for Spoken Language UnderstandingLizhi Cheng, Weijia Jia 0001, Wenmian Yang. 241-250 [doi]
• LT-OCF: Learnable-Time ODE-based Collaborative FilteringJeongwhan Choi 0002, Jinsung Jeon, Noseong Park. 251-260 [doi]
• Evaluating Relevance Judgments with Pairwise Discriminative PowerZhumin Chu, Jiaxin Mao, Fan Zhang, Yiqun Liu 0001, Tetsuya Sakai, Min Zhang 0006, Shaoping Ma. 261-270 [doi]
• Query Definability and Its Approximations in Ontology-based Data ManagementGianluca Cima, Federico Croce, Maurizio Lenzerini. 271-280 [doi]
• Answering POI-recommendation Questions using Tourism ReviewsDanish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam. 281-291 [doi]
• Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 PredictionYue Cui, Chen Zhu, Guanyu Ye, Ziwei Wang, Kai Zheng 0001. 292-301 [doi]
• Towards Self-Explainable Graph Neural NetworkEnyan Dai, Suhang Wang. 302-311 [doi]
• Scaling Up Distance-generalized Core DecompositionQiangqiang Dai, Rong-Hua Li, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan 0001. 312-321 [doi]
• FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task LearningXin Dai, Xiangnan Kong, Tian Guo 0001, Xinlu He. 322-331 [doi]
• Mitigating Negative Influence Diffusion is HardGianlorenzo D'Angelo, Mohammad Abouei Mehrizi. 332-341 [doi]
• Understanding Event Predictions via Contextualized Multilevel Feature LearningSonggaojun Deng, Huzefa Rangwala, Yue Ning 0001. 342-351 [doi]
• Deep Adversarial Network AlignmentTyler Derr, Hamid Karimi, Xiaorui Liu, JieJun Xu, Jiliang Tang. 352-361 [doi]
• Explanations for Data Repair Through Shapley ValuesDaniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer. 362-371 [doi]
• A Deep Learning Framework for Self-evolving Hierarchical Community DetectionDaizong Ding, Mi Zhang, Hanrui Wang 0002, Xudong Pan, Min Yang, Xiangnan He 0001. 372-381 [doi]
• Semi-deterministic and Contrastive Variational Graph Autoencoder for RecommendationYue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang. 382-391 [doi]
• AdaGNN: Graph Neural Networks with Adaptive Frequency Response FilterYushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li. 392-401 [doi]
• AdaRNN: Adaptive Learning and Forecasting of Time SeriesYunTao Du, Jindong Wang 0001, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, Chongjun Wang. 402-411 [doi]
• Query-Variant Advertisement Text Generation with Association KnowledgeSiyu Duan, Wei Li 0101, Jing Cai, Yancheng He, Yunfang Wu. 412-421 [doi]
• Fine and Coarse Granular Argument Classification before ClusteringLorik Dumani, Tobias Wiesenfeldt, Ralf Schenkel. 422-432 [doi]
• Continuous-Time Sequential Recommendation with Temporal Graph Collaborative TransformerZiwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng 0001, Philip S. Yu. 433-442 [doi]
• Large-scale Secure XGB for Vertical Federated LearningWenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen 0001, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang. 443-452 [doi]
• HyperGraph Convolution Based Attributed HyperGraph ClusteringBarakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma 0001, James Cheng, Bo Li, Bo Han. 453-463 [doi]
• CANN: Coupled Approximation Neural Network for Partial Domain AdaptationCheng Feng, Chaoliang Zhong, Jie Wang, Jun Sun, Yasuto Yokota. 464-473 [doi]
• Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender SystemsPhilip J. Feng, Pingjun Pan, Tingting Zhou, Hongxiang Chen, Chuanjiang Luo. 474-483 [doi]
• CMML: Contextual Modulation Meta Learning for Cold-Start RecommendationXidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang. 484-493 [doi]
• Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender SystemsZuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang. 494-503 [doi]
• Fast and Accurate Anchor Graph-based Label PredictionYasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda. 504-513 [doi]
• Pruning Meta-Trained Networks for On-Device AdaptationDawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele. 514-523 [doi]
• Learning An End-to-End Structure for Retrieval in Large-Scale RecommendationsWeihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu. 524-533 [doi]
• Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message SuggestionsZihan Gao, Jiepu Jiang. 534-544 [doi]
• Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge GraphsGarima Gaur, Abhishek Dang, Arnab Bhattacharya 0001, Srikanta Bedathur. 545-554 [doi]
• To Be or not to Be, Tail Labels in Extreme Multi-label LearningZhiqi Ge, XiMing Li. 555-564 [doi]
• Hierarchical Semantics Matching For Heterogeneous Spatio-temporal SourcesDaniel Glake, Norbert Ritter, Florian Ocker, Nima Ahmady-Moghaddam, Daniel Osterholz, Ulfia Lenfers, Thomas Clemen. 565-575 [doi]
• Zero-shot Relation Classification from Side InformationJiaying Gong, Hoda Eldardiry. 576-585 [doi]
• Driving the Herd: Search Engines as Content InfluencersGregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber. 586-595 [doi]
• Mining Bursty Groups from Interaction DataAlexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov. 596-605 [doi]
• Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training DebiasingSindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi. 606-616 [doi]
• VPALG: Paper-publication Prediction with Graph Neural NetworksRenchu Guan, Yonghao Liu, Xiaoyue Feng, XiMing Li. 617-626 [doi]
• NED: Niche Detection in User Content Consumption DataEkta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah. 627-637 [doi]
• Learning Discriminative and Unbiased Representations for Few-Shot Relation ExtractionJiale Han, Bo Cheng 0001, Guoshun Nan. 638-648 [doi]
• Multi-view Interaction Learning for Few-Shot Relation ClassificationYi Han, Linbo Qiao, Jianming Zheng, Zhigang Kan, Linhui Feng, Yifu Gao, Yu Tang, Qi Zhai, Dongsheng Li, Xiangke Liao. 649-658 [doi]
• GraphITE: Estimating Individual Effects of Graph-structured TreatmentsShonosuke Harada, Hisashi Kashima. 659-668 [doi]
• Learning Multiple Intent Representations for Search QueriesHelia Hashemi, Hamed Zamani, W. Bruce Croft. 669-679 [doi]
• Estimating Average Treatment Effects via Orthogonal RegularizationTobias Hatt, Stefan Feuerriegel. 680-689 [doi]
• Click-Through Rate Prediction with Multi-Modal HypergraphsLi He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu. 690-699 [doi]
• Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive FusionMin Hou, Chang Xu 0008, Yang Liu, Weiqing Liu, Jiang Bian 0002, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu. 700-709 [doi]
• What is Next when Sequential Prediction Meets Implicitly Hard Interaction?Kaixi Hu, Lin Li, Qing Xie 0002, Jianquan Liu, Xiaohui Tao. 710-719 [doi]
• Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation LearningZhihui Hu, Guang Kou, Haoyu Zhang, Na Li, Ke Yang, Lin Liu. 720-729 [doi]
• Two-tier Graph Contextual Embedding for Cross-device User MatchingHongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong. 730-739 [doi]
• Signed Bipartite Graph Neural NetworksJunjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng. 740-749 [doi]
• Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G EraShaoyuan Huang, Heng Zhang, Xiaofei Wang 0001, Min Chen 0003, Jianxin Li, Victor C. M. Leung. 750-759 [doi]
• Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information RetrievalZhiqi Huang, Hamed Bonab, Sheikh Muhammad Sarwar, Razieh Rahimi, James Allan. 760-770 [doi]
• A Neural Conversation Generation Model via Equivalent Shared Memory InvestigationChangzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao. 771-781 [doi]
• Reinforcement Learning to Optimize Lifetime Value in Cold-Start RecommendationLuo Ji, Qi Qin, Bingqing Han, Hongxia Yang. 782-791 [doi]
• Complex Temporal Question Answering on Knowledge GraphsZhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum. 792-802 [doi]
• Contrastive Pre-Training of GNNs on Heterogeneous GraphsXunqiang Jiang, Yuanfu Lu, Yuan Fang 0001, Chuan Shi. 803-812 [doi]
• Graph Feature Gating NetworksWei Jin, Xiaorui Liu, Yao Ma 0001, Tyler Derr, Charu C. Aggarwal, Jiliang Tang. 813-822 [doi]
• Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual BanditsWeiyu Ju, Wei Bao, Liming Ge, Dong Yuan. 823-832 [doi]
• Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain AdaptationMahsa Keramati, Zahra Zohrevand, Uwe Glässer. 833-843 [doi]
• Semantic Concept Annotation for Tabular DataUdayan Khurana, Sainyam Galhotra. 844-853 [doi]
• Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a DictionaryBosung Kim, Hyewon Choi, Haeun Yu, Youngjoong Ko. 854-862 [doi]
• ALADDIN: Asymmetric Centralized Training for Distributed Deep LearningYun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee 0001, Sang-Wook Kim. 863-872 [doi]
• Fast Extraction of Word Embedding from Q-contextsJunsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai 0001, Shengyu Zhang. 873-882 [doi]
• Efficient Multi-Scale Feature Generation Adaptive NetworkGwanghan Lee, Minha Kim, Minha Kim, Simon S. Woo. 883-892 [doi]
• Certifying One-Phase Technology-Assisted ReviewsDavid D. Lewis, Eugene Yang, Ophir Frieder. 893-902 [doi]
• Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial NetworksChangchun Li, XiMing Li, Jihong OuYang, Yiming Wang. 903-912 [doi]
• Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning SystemsDingwen Li, Patrick G. Lyons, Jeff Klaus, Brian F. Gage, Marin Kollef, Chenyang Lu 0001. 913-936 [doi]
• Cache-based GNN System for Dynamic GraphsHaoyang Li, Lei Chen. 937-946 [doi]
• Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted ServerMaocheng Li, Jiachuan Wang, Libin Zheng, Han Wu, Peng Cheng, Lei Chen, Xuemin Lin 0001. 947-956 [doi]
• Block Access Pattern Discovery via Compressed Full Tensor TransformerXing Li, Qiquan Shi, Gang Hu, Lei Chen, Hui Mao, Yiyuan Yang, Mingxuan Yuan, Jia Zeng, Zhuo Cheng. 957-966 [doi]
• Lightweight Self-Attentive Sequential RecommendationYang Li, Tong Chen, Peng-fei Zhang, Hongzhi Yin. 967-977 [doi]
• Learning to Cluster via Same-Cluster QueriesYi Li, Yan Song, Qin Zhang. 978-987 [doi]
• Hyperbolic Hypergraphs for Sequential RecommendationYicong Li 0003, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, LiZhen Cui, Philip S. Yu, Guandong Xu. 988-997 [doi]
• Extracting Attentive Social Temporal Excitation for Sequential RecommendationYunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang. 998-1007 [doi]
• Unsupervised Large-Scale Social Network Alignment via Cross Network EmbeddingZhehan Liang, Yu Rong, Chenxin Li, YunLong Zhang, Yue Huang 0001, Tingyang Xu, Xinghao Ding, JunZhou Huang. 1008-1017 [doi]
• Grammatical Error Correction with Dependency DistanceHaowen Lin, Jinlong Li, Xu Zhang, Huanhuan Chen. 1018-1027 [doi]
• Deep Self-Adaptive Hashing for Image RetrievalQinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen. 1028-1037 [doi]
• Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question AnsweringZizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, Junpeng Ye. 1038-1047 [doi]
• Discovering Urban Functions of High-Definition Zoning with Continuous Human TracesChunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu. 1048-1057 [doi]
• SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social SummarizationHuanyu Liu, Ruifang He, Liangliang Zhao, Haocheng Wang, Ruifang Wang. 1058-1068 [doi]
• Mining Cross Features for Financial Credit Risk AssessmentQiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu. 1069-1078 [doi]
• A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional NetworkYi Liu, Bohan Li 0001, Yalei Zang, Aoran Li, Hongzhi Yin. 1079-1088 [doi]
• ECMA: An Efficient Convoy Mining Algorithm for Moving ObjectsYiyang Liu, Hua Dai 0003, Bohan Li, Jiawei Li, Geng Yang, Jun Wang. 1089-1098 [doi]
• Concept-Aware Denoising Graph Neural Network for Micro-Video RecommendationYiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li. 1099-1108 [doi]
• Meta Hyperparameter Optimization with Adversarial Proxy Subsets SamplingYue Liu, Xin Wang, Xue Xu, Jianbo Yang, Wenwu Zhu 0001. 1109-1118 [doi]
• POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech LabellingZeyang Liu, Ke Zhou 0003, Jiaxin Mao, Max L. Wilson 0001. 1119-1129 [doi]
• Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge BasesZhao Liu, Chang Lu, Ghadah Alghamdi, Renate A. Schmidt, Yizheng Zhao. 1130-1139 [doi]
• Graph Embedding Based on Euclidean Distance Matrix and its ApplicationsZhihong Liu, Huiyu Li, Ruixin Li, Yong Zeng 0002, Jianfeng Ma 0001. 1140-1149 [doi]
• BNN: Boosting Neural Network Framework Utilizing Limited Amount of DataAmit Livne, Roy Dor, Bracha Shapira, Lior Rokach. 1150-1159 [doi]
• Social Recommendation with Self-Supervised Metagraph Informax NetworkXiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo. 1160-1169 [doi]
• Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network ModelLinhao Luo, Yixiang Fang, Xin Cao 0001, Xiaofeng Zhang, Wenjie Zhang 0001. 1170-1180 [doi]
• GF-VAE: A Flow-based Variational Autoencoder for Molecule GenerationChangsheng Ma, Xiangliang Zhang 0001. 1181-1190 [doi]
• LEReg: Empower Graph Neural Networks with Local Energy RegularizationXiaojun Ma, Hanyue Chen, Guojie Song. 1191-1201 [doi]
• A Unified View on Graph Neural Networks as Graph Signal DenoisingYao Ma 0001, Xiaorui Liu, Tong Zhao 0003, Yozen Liu, Jiliang Tang, Neil Shah. 1202-1211 [doi]
• Pre-training for Ad-hoc Retrieval: Hyperlink is Also You NeedZhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen. 1212-1221 [doi]
• Generating Compositional Color Representations from TextParidhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay. 1222-1231 [doi]
• Principled Multi-Aspect Evaluation Measures of RankingsMaria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma. 1232-1242 [doi]
• SimpleX: A Simple and Strong Baseline for Collaborative FilteringKelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He. 1243-1252 [doi]
• UltraGCN: Ultra Simplification of Graph Convolutional Networks for RecommendationKelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He. 1253-1262 [doi]
• Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and RobustnessXin Mao, Wenting Wang, Yuanbin Wu, Man Lan. 1263-1273 [doi]
• A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to PersuasionNaoki Marumo, Atsushi Miyauchi 0001, Akiko Takeda, Akira Tanaka. 1274-1283 [doi]
• L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement LearningKeith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu. 1284-1293 [doi]
• POSHAN: Cardinal POS Pattern Guided Attention for News Headline IncongruenceRahul Mishra, Shuo Zhang. 1294-1303 [doi]
• 50 Ways to Bake a Cookie: Mapping the Landscape of Procedural TextsMoran Mizrahi 0001, Dafna Shahaf. 1304-1314 [doi]
• Agenda: Robust Personalized PageRanks in Evolving GraphsDingheng Mo, Siqiang Luo. 1315-1324 [doi]
• Learning Ideological Embeddings from Information CascadesCorrado Monti, Giuseppe Manco 0001, Çigdem Aslay, Francesco Bonchi. 1325-1334 [doi]
• Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive ApproachJosiane Mothe, Md Zia Ullah. 1335-1345 [doi]
• Revisiting State Augmentation methods for Reinforcement Learning with Stochastic DelaysSomjit Nath, Mayank Baranwal, Harshad Khadilkar. 1346-1355 [doi]
• Disentangling Preference Representations for Recommendation Critiquing with ß-VAEPreksha Nema, Alexandros Karatzoglou, Filip Radlinski. 1356-1365 [doi]
• Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation RegularizationJingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen. 1366-1375 [doi]
• Efficient Hyperparameter Optimization under Multi-Source Covariate ShiftMasahiro Nomura, Yuta Saito. 1376-1385 [doi]
• Influence-guided Data Augmentation for Neural Tensor CompletionSejoon Oh, SungChul Kim, Ryan A. Rossi, Srijan Kumar. 1386-1395 [doi]
• Match-Ignition: Plugging PageRank into Transformer for Long-form Text MatchingLiang Pang, Yanyan Lan, Xueqi Cheng. 1396-1405 [doi]
• Learning Saliency Maps to Explain Deep Time Series ClassifiersPrathyush S. Parvatharaju, Ramesh Doddaiah, Thomas Hartvigsen, Elke A. Rundensteiner. 1406-1415 [doi]
• Differentially Private Federated Knowledge Graphs EmbeddingHao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li 0002. 1416-1425 [doi]
• Sparse Shield: Social Network Immunization vs. Harmful SpeechAlexandru Petrescu, Ciprian-Octavian Truica, Elena Simona Apostol, Panagiotis Karras. 1426-1436 [doi]
• MentalSpot: Effective Early Screening for Depression Based on Social ContagionJahandad Pirayesh, Haiquan Chen, Xiao Qin 0001, Wei-Shinn Ku, Da Yan 0001. 1437-1446 [doi]
• Jointly-Learned State-Action Embedding for Efficient Reinforcement LearningPaul J. Pritz, Liang Ma 0002, Kin K. Leung. 1447-1456 [doi]
• Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting TreesPanpan Qi, Wei Wang 0059, Lei Zhu, See-Kiong Ng. 1457-1466 [doi]
• Learning Implicit User Profile for Personalized Retrieval-Based ChatbotHongjin Qian, Zhicheng Dou, Yutao Zhu 0001, Yueyuan Ma, Ji-Rong Wen. 1467-1477 [doi]
• Learning to Augment Imbalanced Data for Re-ranking ModelsZi-Hao Qiu, Ying-Chun Jian, Qing-Guo Chen, Lijun Zhang. 1478-1487 [doi]
• Natural Language Understanding with Privacy-Preserving BERTChen Qu, Weize Kong, Liu Yang, Mingyang Zhang 0001, Michael Bendersky, Marc Najork. 1488-1497 [doi]
• A Study of Explainability Features to Scrutinize Faceted Filtering ResultsJiaming Qu, Jaime Arguello, Yue Wang 0035. 1498-1507 [doi]
• Fairness-Aware Training of Decision Trees by Abstract InterpretationFrancesco Ranzato, Caterina Urban, Marco Zanella. 1508-1517 [doi]
• QuAX: Mining the Web for High-utility FAQMuhammad Shihab Rashid, Fuad T. Jamour, Vagelis Hristidis. 1518-1527 [doi]
• AdaSim: A Recursive Similarity Measure in GraphsMasoud Reyhani Hamedani, Sang-Wook Kim. 1528-1537 [doi]
• Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power GridsMartin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin. 1538-1547 [doi]
• Corrective Guidance and Learning for Dialogue ManagementMahdin Rohmatillah, Jen-Tzung Chien. 1548-1557 [doi]
• The Shapley Value of Classifiers in Ensemble GamesBenedek Rozemberczki, Rik Sarkar. 1558-1567 [doi]
• odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal NetworksIlie Sarpe, Fabio Vandin. 1568-1577 [doi]
• ClaSP - Time Series SegmentationPatrick Schäfer 0001, Arik Ermshaus, Ulf Leser. 1578-1587 [doi]
• One-shot Transfer Learning for Population MappingErzhuo Shao, Jie Feng 0002, Yingheng Wang, Tong Xia, Yong Li. 1588-1597 [doi]
• Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian OptimizationLei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu. 1598-1608 [doi]
• Inductive Matrix Completion Using Graph AutoencoderWei Shen 0005, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu 0001. 1609-1618 [doi]
• How Powerful is Graph Convolution for Recommendation?Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li. 1619-1629 [doi]
• DataType-Aware Knowledge Graph Representation Learning in Hyperbolic SpaceYuxin Shen, Zhao Li, Xin Wang, Jianxin Li, Xiaowang Zhang. 1630-1639 [doi]
• Integrating Pattern- and Fact-based Fake News Detection via Model Preference LearningQiang Sheng, Xueyao Zhang, Juan Cao, Lei Zhong. 1640-1650 [doi]
• WG4Rec: Modeling Textual Content with Word Graph for News RecommendationShaoyun Shi, Weizhi Ma, Zhen Wang, Min Zhang 0006, Kun Fang, Jingfang Xu, Yiqun Liu 0001, Shaoping Ma. 1651-1660 [doi]
• XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio ManagementSi Shi, Jianjun Li, Guohui Li, Peng Pan, Ke Liu. 1661-1670 [doi]
• SGCL: Contrastive Representation Learning for Signed GraphsLin Shu, Erxin Du, Yaomin Chang, Chuan Chen 0001, Zibin Zheng, Xingxing Xing, Shaofeng Shen. 1671-1680 [doi]
• Speaker-Conditioned Hierarchical Modeling for Automated Speech ScoringYaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah. 1681-1691 [doi]
• SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-CheckingPanayiotis Smeros, Carlos Castillo 0001, Karl Aberer. 1692-1702 [doi]
• Metric Sentiment Learning for Label RepresentationChengyu Song, Fei Cai, Jianming Zheng, Wanyu Chen, Zhiqiang Pan. 1703-1712 [doi]
• CBML: A Cluster-based Meta-learning Model for Session-based RecommendationJiayu Song, Jiajie Xu 0001, Rui Zhou 0001, Lu Chen, Jianxin Li, Chengfei Liu. 1713-1722 [doi]
• Semi-supervised Multi-label Learning for Graph-structured DataZixing Song, Ziqiao Meng, Yifei Zhang, Irwin King. 1723-1733 [doi]
• PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural NetworkHao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng. 1734-1743 [doi]
• Tabular Functional Block Detection with Embedding-based Agglomerative Cell ClusteringKexuan Sun 0002, Fei Wang 0060, Muhao Chen, Jay Pujara. 1744-1753 [doi]
• Budget-constrained Truss Maximization over Large Graphs: A Component-based ApproachXin Sun, Xin Huang, Zitan Sun, Di Jin. 1754-1763 [doi]
• DESYR: Definition and Syntactic Representation Based Claim Detection on the WebMegha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty 0002. 1764-1773 [doi]
• Actionable Insights in Urban Multivariate Time-seriesAnika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash. 1774-1783 [doi]
• Counterfactual Explainable RecommendationJuntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li 0003, Xu Chen 0017, Yongfeng Zhang. 1784-1793 [doi]
• Single Node Injection Attack against Graph Neural NetworksShuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng. 1794-1803 [doi]
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• Self-supervised Representation Learning on Dynamic Graphssheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong. 1814-1823 [doi]
• Recipe Representation Learning with NetworksYijun Tian 0001, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla. 1824-1833 [doi]
• Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in RecommendationKe Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi 0001, Wenwu Zhu 0001. 1834-1843 [doi]
• Attention Based Dynamic Graph Learning Framework for Asset PricingAjim Uddin, Xinyuan Tao, Dantong Yu. 1844-1853 [doi]
• Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to RankAli Vardasbi, Maarten de Rijke, Ilya Markov. 1869-1878 [doi]
• Reliable and Privacy-Preserving Task Matching in Blockchain-Based CrowdsourcingBaolai Wang, Shaojing Fu, Xuyun Zhang, Tao Xie, Lingjuan Lyu, Yuchuan Luo. 1879-1888 [doi]
• Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential RecommendationChunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu. 1889-1898 [doi]
• Neural Information Diffusion Prediction with Topic-Aware Attention NetworkHao Wang, Cheng Yang, Chuan Shi. 1899-1908 [doi]
• A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and StorageHaoyu Wang, Yaqing Wang, Defu Lian, Jing Gao. 1909-1918 [doi]
• Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate SolutionsHu Wang, Hui Li, Meng Wang, JiangTao Cui. 1919-1928 [doi]
• Fast k-NN Graph Construction by GPU based NN-DescentHui Wang, Wan-Lei Zhao, Xiangxiang Zeng, Jianye Yang. 1929-1938 [doi]
• Top-k Tree Similarity JoinJianhua Wang, Jianye Yang, Wenjie Zhang. 1939-1948 [doi]
• Popularity-Enhanced News Recommendation with Multi-View Interest RepresentationJingkun Wang, Yipu Chen, Zichun Wang, Wen Zhao. 1949-1958 [doi]
• Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention MechanismLi Wang, Peipei Li, Kai Xiong, Jiashu Zhao, Rui Lin. 1959-1968 [doi]
• Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event ClassificationPeiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui. 1969-1978 [doi]
• REFORM: Error-Aware Few-Shot Knowledge Graph CompletionSong Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li. 1979-1988 [doi]
• Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue GenerationWeichao Wang, Wei Gao, Shi Feng, Ling Chen, Daling Wang. 1989-1998 [doi]
• Improving Chinese Character Representation with Formation Graph Attention NetworkXiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu. 1999-2009 [doi]
• Using Knowledge Concept Aggregation towards Accurate Cognitive DiagnosisXinping Wang, Caidie Huang, Jinfang Cai, Liangyu Chen. 2010-2019 [doi]
• Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication RecommendationYanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li. 2020-2029 [doi]
• The Skyline of Counterfactual Explanations for Machine Learning Decision ModelsYongJie Wang, Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu, Chunyan Miao. 2030-2039 [doi]
• Tree Decomposed Graph Neural NetworkYu Wang, Tyler Derr. 2040-2049 [doi]
• An Efficient Quantitative Approach for Optimizing Convolutional Neural NetworksYuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding. 2050-2059 [doi]
• Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-PredictionZhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki. 2060-2069 [doi]
• Task Assignment with Worker Churn Prediction in Spatial CrowdsourcingZiwei Wang, Yan Zhao, Xuanhao Chen 0001, Kai Zheng. 2070-2079 [doi]
• Region Semantically Aligned Network for Zero-Shot LearningZiyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang. 2080-2090 [doi]
• Pooling Architecture Search for Graph ClassificationLanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He. 2091-2100 [doi]
• AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate PredictionZhikun Wei, Xin Wang, Wenwu Zhu 0001. 2101-2110 [doi]
• Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural NetworksTobias Weller, Maribel Acosta. 2111-2118 [doi]
• SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWLDawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz. 2119-2128 [doi]
• Clustering of Conversational Bandits for User Preference Learning and ElicitationJunda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li. 2129-2139 [doi]
• DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention NetworkJunkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He 0001. 2140-2149 [doi]
• DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal ControlLibing Wu, Min Wang, Dan Wu, Jia Wu 0001. 2150-2159 [doi]
• Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential RecommendersQitian Wu, Chenxiao Yang, Shuodian Yu, Xiaofeng Gao, Guihai Chen. 2160-2169 [doi]
• Incremental Graph Convolutional Network for Collaborative FilteringJiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu. 2170-2179 [doi]
• Self-Supervised Graph Co-Training for Session-based RecommendationXin Xia 0013, Hongzhi Yin, Junliang Yu, Yingxia Shao, LiZhen Cui. 2180-2190 [doi]
• iMap: Incremental Node Mapping between Large Graphs Using GNNYikuan Xia, Jun Gao, Bin Cui 0001. 2191-2200 [doi]
• Neural PathSim for Inductive Similarity Search in Heterogeneous Information NetworksWenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song. 2201-2210 [doi]
• WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language ModelChenhao Xie 0002, Wenhao Huang, Jiaqing Liang, Chengsong Huang, Yanghua Xiao. 2211-2220 [doi]
• Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food ImagesZhongwei Xie, Ling Liu, Lin Li, Luo Zhong. 2221-2230 [doi]
• Counterfactual Review-based RecommendationKun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou. 2231-2240 [doi]
• Speedup Robust Graph Structure Learning with Low-Rank InformationHui Xu 0011, Liyao Xiang, Jiahao Yu, Anqi Cao, Xinbing Wang. 2241-2250 [doi]
• Expanding Relationship for Cross Domain RecommendationKun Xu, Yuanzhen Xie, Liang Chen, Zibin Zheng. 2251-2260 [doi]
• Topic-aware Heterogeneous Graph Neural Network for Link PredictionSiyong Xu, Cheng Yang, Chuan Shi, Yuan Fang, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu. 2261-2270 [doi]
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• Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph LearningDalong Yang, Chuan Chen 0001, Youhao Zheng, Zibin Zheng, Shih-Wei Liao. 2281-2290 [doi]
• Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online AdvertisingHaizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song. 2291-2300 [doi]
• Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding?Han Yang, Leilei Zhang, Bingning Wang, Ting Yao, Junfei Liu. 2301-2310 [doi]
• Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplExHan Yang, Junfei Liu. 2311-2320 [doi]
• CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse RewardsHuanhuan Yang, Dianxi Shi, Chenran Zhao, Guojun Xie, Shaowu Yang. 2321-2330 [doi]
• Entity and Relation Matching Consensus for Entity AlignmentJinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu. 2331-2341 [doi]
• Top-N Recommendation with Counterfactual User Preference SimulationMengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang. 2342-2351 [doi]
• Adversarial Kernel Sampling on Class-imbalanced Data StreamsPeng Yang, Ping Li 0001. 2352-2362 [doi]
• HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual DataZhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li. 2363-2372 [doi]
• USER: A Unified Information Search and Recommendation Model based on Integrated Behavior SequenceJing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen. 2373-2382 [doi]
• An Interactive Neural Network Approach to Keyphrase Extraction in Talent RecruitmentKaichun Yao, Chuan Qin 0002, Hengshu Zhu, Chao Ma 0022, Jingshuai Zhang, Yi Du, Hui Xiong. 2383-2393 [doi]
• AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution EvaluationYixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely. 2394-2403 [doi]
• Task Allocation with Geographic Partition in Spatial CrowdsourcingGuanyu Ye, Yan Zhao, Xuanhao Chen 0001, Kai Zheng 0001. 2404-2413 [doi]
• MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical TextMuchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma. 2414-2423 [doi]
• Robust Dynamic Clustering for Temporal NetworksJingyi You, Chenlong Hu, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura. 2424-2433 [doi]
• Learning to Learn the Future: Modeling Concept Drifts in Time Series PredictionXiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang. 2434-2443 [doi]
• Assorted Attention Network for Cross-Lingual Language-to-Vision RetrievalTan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li 0001. 2444-2454 [doi]
• Multiple Exemplars Learning for Fast Image RetrievalTan Yu, Ping Li 0001. 2455-2465 [doi]
• Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural NetworksJinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang. 2466-2476 [doi]
• Reinforced Active Entity AlignmentWeixin Zeng, Xiang Zhao 0002, Jiuyang Tang, Changjun Fan. 2477-2486 [doi]
• Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval PerformanceJingtao Zhan, Jiaxin Mao, Yiqun Liu 0001, Jiafeng Guo, Min Zhang 0006, Shaoping Ma. 2487-2496 [doi]
• Fraud Detection under Multi-Sourced Extremely Noisy AnnotationsChuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han 0003, Chen Gong 0002. 2497-2506 [doi]
• Topic Modeling for Multi-Aspect Listwise ComparisonsDelvin Ce Zhang, Hady W. Lauw. 2507-2516 [doi]
• Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type InformationHan Zhang, Yu Hao 0003, Xin Cao 0001, Yixiang Fang, Won-Yong Shin, Wei Wang. 2517-2526 [doi]
• DSDD: Domain-Specific Dataset Discovery on the WebHaoxiang Zhang, Aécio Santos, Juliana Freire. 2527-2536 [doi]
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• Delve into the Performance Degradation of Differentiable Architecture SearchJiuling Zhang, Zhiming Ding. 2547-2556 [doi]
• Double-Scale Self-Supervised Hypergraph Learning for Group RecommendationJunwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin. 2557-2567 [doi]
• SNPR: A Serendipity-Oriented Next POI Recommendation ModelMingwei Zhang, Yang Yang, Rizwan Abbas, Ke Deng, Jianxin Li, Bin Zhang. 2568-2577 [doi]
• Comprehensively Computing Link-based Similarities by Building A Random Surfer GraphMingxi Zhang, Xifeng Yan, Wei Wang 0009. 2578-2587 [doi]
• Multi-Factors Aware Dual-Attentional Knowledge TracingMoyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan, Changchuan Yin. 2588-2597 [doi]
• Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based AlgorithmQingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang. 2598-2607 [doi]
• HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge SourcesTaolin Zhang, Zerui Cai, Chengyu Wang 0001, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang. 2608-2617 [doi]
• Adversarial Separation Network for Cross-Network Node ClassificationXiaowen Zhang, YunTao Du, Rongbiao Xie, Chongjun Wang. 2618-2626 [doi]
• CoPE: Modeling Continuous Propagation and Evolution on Interaction GraphYao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu. 2627-2636 [doi]
• Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base EmbeddingYufeng Zhang, Weiqing Wang, Wei Chen 0003, Jiajie Xu 0001, An Liu, Lei Zhao. 2637-2646 [doi]
• Pareto-optimal Community Search on Large Bipartite GraphsYuting Zhang, Kai Wang, Wenjie Zhang 0001, Xuemin Lin 0001, Ying Zhang 0001. 2647-2656 [doi]
• Minimizing Spectral Radius of Non-Backtracking Matrix by Edge RemovalZuobai Zhang, Zhongzhi Zhang, Guanrong Chen. 2657-2667 [doi]
• Action Sequence Augmentation for Early Graph-based Anomaly DetectionTong Zhao 0003, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang 0001. 2668-2678 [doi]
• k-sums Clustering: A Stochastic Optimization ApproachWan-Lei Zhao, Shi-Ying Lan, Run-Qing Chen, Chong-Wah Ngo. 2679-2687 [doi]
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• Automated Query Graph Generation for Querying Knowledge GraphsWeiguo Zheng, Mei Zhang. 2698-2707 [doi]
• Understanding the Property of Long Term Memory for the LSTM with Attention MechanismWendong Zheng, Putian Zhao, Kai Huang 0001, Gang Chen 0023. 2708-2717 [doi]
• Relation Network and Causal Reasoning for Image CaptioningDongming Zhou, Jing Yang. 2718-2727 [doi]
• Understanding and Resolving Performance Degradation in Deep Graph Convolutional NetworksKuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng. 2728-2737 [doi]
• #StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic GraphsYichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang 0010. 2738-2748 [doi]
• PSSL: Self-supervised Learning for Personalized Search with Contrastive SamplingYujia Zhou, Zhicheng Dou, Yutao Zhu 0001, Ji-Rong Wen. 2749-2758 [doi]
• Open Benchmarking for Click-Through Rate PredictionJieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He. 2759-2769 [doi]
• Summarizing Long-Form Document with Rich Discourse InformationTianyu Zhu, Wen-hua, Jianfeng Qu, Xiaofang Zhou 0001. 2770-2779 [doi]
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• Discovering Time-invariant Causal Structure from Temporal DataSaima Absar, Lu Zhang. 2807-2811 [doi]
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• Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing ValuesDawon Ahn, Seyun Kim, U Kang. 2822-2826 [doi]
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• Distilling Numeral Information for Volatility ForecastingChung-Chi Chen, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen. 2920-2924 [doi]
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• Adversarial Reprogramming of Pretrained Neural Networks for Fraud DetectionLingwei Chen, Yujie Fan, Yanfang Ye. 2935-2939 [doi]
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• MGNETS: Multi-Graph Neural Networks for Table SearchZhiYu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison 0001. 2945-2949 [doi]
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• Question Rewriting for Open-Domain Conversational QA: Best Practices and LimitationsMarco Del Tredici, Gianni Barlacchi, Xiaoyu Shen, Weiwei Cheng, Adrià de Gispert. 2974-2978 [doi]
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• Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online DetectionErick Draayer, Huiping Cao, Yifan Hao. 2989-2993 [doi]
• Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code SearchLun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang. 2994-2998 [doi]
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• Density-Based Dynamic Curriculum Learning for Intent DetectionYantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang. 3034-3037 [doi]
• Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile PhonesKalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin. 3038-3042 [doi]
• Integrating Transductive and Inductive Embeddings Improves Link Prediction AccuracyChitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti. 3043-3047 [doi]
• CauSeR: Causal Session-based Recommendations for Handling Popularity BiasPriyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff. 3048-3052 [doi]
• Region Invariant Normalizing Flows for Mobility TransferVinayak Gupta, Srikanta Bedathur. 3053-3057 [doi]
• Counterfactual Generative Smoothing for Imbalanced Natural Language ClassificationHojae Han, Seungtaek Choi, Myeongho Jeong, Jin-Woo Park, Seung-won Hwang. 3058-3062 [doi]
• GLocal-K: Global and Local Kernels for Recommender SystemsSoyeon Caren Han, Taejun Lim, Siqu Long, Bernd Burgstaller, Josiah Poon. 3063-3067 [doi]
• Unsupervised Cross-system Log Anomaly Detection via Domain AdaptationXiao Han, Shuhan Yuan. 3068-3072 [doi]
• Automatic Error Correction Using the Wikipedia Page Revision HistoryMd. Kamrul Hasan, Mohammad Mahdavi. 3073-3077 [doi]
• Cformer: Semi-Supervised Text Clustering Based on Pseudo LabelingArezoo Hatefi, Xuan-Son Vu, Monowar Bhuyan, Frank Drewes. 3078-3082 [doi]
• Centerpoint Query AuthenticationMagnus Haxen, Morten Raeburn, Peyman Afshani, Panagiotis Karras. 3083-3087 [doi]
• Locker: Locally Constrained Self-Attentive Sequential RecommendationZhankui He, Handong Zhao, Zhe Lin 0001, Zhaowen Wang, Ajinkya Kale, Julian McAuley. 3088-3092 [doi]
• LTPHM: Long-term Traffic Prediction based on Hybrid ModelChuyin Huang, Weiyang Kong, Genan Dai, Yubao Liu. 3093-3097 [doi]
• Entity-aware Collaborative Relation Network with Knowledge Graph for RecommendationRuoran Huang, Chuanqi Han, Li Cui. 3098-3102 [doi]
• When is Nearest Neighbor Meaningful: Sequential DataAaron Hui, Byron J. Gao. 3103-3106 [doi]
• The Effect of News Article Quality on Ad ConsumptionKojiro Iizuka, Yoshifumi Seki, Makoto P. Kato. 3107-3111 [doi]
• CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern ChineseZijing Ji, Xin Wang, Yuxin Shen, Guozheng Rao. 3112-3116 [doi]
• Robust Adaptive-weighting Multi-view ClassificationBingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong 0002, Weiguo Sheng. 3117-3121 [doi]
• ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive LearningMing Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan. 3122-3126 [doi]
• RABERT: Relation-Aware BERT for Target-Oriented Opinion Words ExtractionTaegwan Kang, Minwoo Lee, Nakyeong Yang, Kyomin Jung. 3127-3131 [doi]
• Question Answering using Web ListsAnoop R. Katti, Kai Hui, Adrià de Gispert, Hagen Fürstenau. 3132-3136 [doi]
• CoSEM: Contextual and Semantic Embedding for App Usage PredictionYonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White, Flora D. Salim. 3137-3141 [doi]
• Self-supervised Fine-tuning for Efficient Passage Re-rankingMeoungjun Kim, Youngjoong Ko. 3142-3146 [doi]
• Query-driven Segment Selection for Ranking Long DocumentsYoungWoo Kim, Razieh Rahimi, Hamed Bonab, James Allan. 3147-3151 [doi]
• UQJG: Identifying Transactions that Collaborate to Violate an SQL AssertionToon Koppelaars, Xavier Oriol, Ernest Teniente, Sergi Curto, Eduard Pujol. 3152-3156 [doi]
• Exploratory Search of GANs with Contextual BanditsIvan Kropotov, Alan Medlar, Dorota Glowacka. 3157-3161 [doi]
• Asterisk-Shaped Features for Tabular DataYuki Kurauchi, Yoshiaki Takimoto, Shuhei Yamamoto, Shunichi Seko, Hiroyuki Toda. 3162-3165 [doi]
• Boosting Graph Alignment AlgorithmsAlexander Frederiksen Kyster, Simon Daugaard Nielsen, Judith Hermanns, Davide Mottin, Panagiotis Karras. 3166-3170 [doi]
• Attention Based Subgraph Classification for Link Prediction by Network Re-weightingDarong Lai, Zheyi Liu, Junyao Huang, Zhihong Chong, Weiwei Wu, Christine Nardini. 3171-3175 [doi]
• SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual TransferDohyeon Lee, Jaeseong Lee, Gyewon Lee, Byung-Gon Chun, Seung-won Hwang. 3176-3180 [doi]
• CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification ModelsMinwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung. 3181-3185 [doi]
• Dual Correction Strategy for Ranking Distillation in Top-N Recommender SystemYoungjune Lee, Kee-Eung Kim. 3186-3190 [doi]
• Capsule Graph Neural Networks with EM RoutingYu Lei, Jing Zhang. 3191-3195 [doi]
• Hubness-aware User Identity LinkageChaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu 0015, Philip S. Yu. 3196-3200 [doi]
• Graph-based Semi-Supervised Learning by Strengthening Local Label ConsistencyChen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun. 3201-3205 [doi]
• AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying GraphsDongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang. 3206-3210 [doi]
• Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food ImagesLin Li, Ming Li, Zichen Zan, Qing Xie, Jianquan Liu. 3211-3215 [doi]
• OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal RetrievalMingyang Li, Shao-Lun Huang, Lin Zhang 0001. 3216-3220 [doi]
• Span-Level Emotion Cause Analysis by BERT-based Graph Attention NetworkXiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq R. Joty. 3221-3226 [doi]
• Span-level Emotion Cause Analysis with Neural Sequence TaggingXiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq R. Joty. 3227-3231 [doi]
• Vandalism Detection in OpenStreetMap via User EmbeddingsYinxiao Li, Jennings Anderson, Yiqi Niu. 3232-3236 [doi]
• Graph Representation Learning via Adversarial Variational BayesYunhe Li, Yaochen Hu, Yingxue Zhang. 3237-3241 [doi]
• Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive LearningBin Liang, Wangda Luo, Xiang Li, Lin Gui 0003, Min Yang, Xiaoqi Yu, Ruifeng Xu. 3242-3247 [doi]
• Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular TrafficChung-Yi Lin, Hung-Ting Su, Shen-Lung Tung, Winston H. Hsu. 3248-3252 [doi]
• GGP: A Graph-based Grouping Planner for Explicit Control of Long Text GenerationXuming Lin, Shaobo Cui 0001, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen. 3253-3257 [doi]
• State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information RetrievalJiqun Liu, Ran Yu. 3258-3262 [doi]
• Deep Active Learning for Text Classification with Diverse InterpretationsQiang Liu, Yanqiao Zhu 0001, Zhaocheng Liu, Yufeng Zhang, Shu Wu. 3263-3267 [doi]
• Fine-Grained Element Identification in Complaint Text of Internet FraudTong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang. 3268-3272 [doi]
• Age Inference Using A Hierarchical Attention Neural NetworkYaguang Liu, Lisa Singh. 3273-3277 [doi]
• Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural NetworksZiqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou. 3278-3282 [doi]
• FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients UpdateJunyu Luo, Jianlei Yang 0001, Xucheng Ye, Xin Guo, Weisheng Zhao. 3283-3287 [doi]
• Operation Diagnosis on Procedure Graph: The Task and DatasetRuipu Luo, Qi Zhu, Qin Chen, Siyuan Wang, Zhongyu Wei, Weijian Sun, Shuang Tang. 3288-3292 [doi]
• Review-Aware Neural Recommendation with Cross-Modality Mutual AttentionSongyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan. 3293-3297 [doi]
• Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum ContrastXueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo. 3298-3302 [doi]
• Smoothing with Fake LabelZiyang Luo, Yadong Xi, Xiaoxi Mao. 3303-3307 [doi]
• Learning Sparse Binary Code for Maximum Inner Product SearchChangyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li 0001. 3308-3312 [doi]
• Temporal Network Embedding via Tensor FactorizationJing Ma, Qiuchen Zhang, Jian Lou 0001, Li Xiong 0001, Joyce C. Ho. 3313-3317 [doi]
• On Approximate Nearest Neighbour Selection for Multi-Stage Dense RetrievalCraig Macdonald, Nicola Tonellotto. 3318-3322 [doi]
• GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction predictionSameen Mansha, Tayyab Khalid, Faisal Kamiran, Masroor Hussain, Syed Fawad Hussain, Hongzhi Yin. 3323-3327 [doi]
• Neuron Campaign for Initialization Guided by Information Bottleneck TheoryHaitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang. 3328-3332 [doi]
• On Skipping Behaviour Types in Music Streaming SessionsFrancesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi. 3333-3337 [doi]
• Multi-objective Few-shot Learning for Fair ClassificationIshani Mondal, Procheta Sen, Debasis Ganguly. 3338-3342 [doi]
• MDFEND: Multi-domain Fake News DetectionQiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li 0001. 3343-3347 [doi]
• Discovery of Temporal Graph Functional DependenciesLevin Noronha, Fei Chiang. 3348-3352 [doi]
• Lightweight Visual Question Answering using Scene GraphsSai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang. 3353-3357 [doi]
• Training Neural Networks with Random Noise Images for Adversarial RobustnessJi Young Park, Lin Liu 0003, Jiuyong Li, Jixue Liu. 3358-3362 [doi]
• Evaluating Fairness in Argument RetrievalSachin Pathiyan Cherumanal, Damiano Spina, Falk Scholer, W. Bruce Croft. 3363-3367 [doi]
• Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label ClassificationLuca Piras, Ludovico Boratto, Guilherme Ramos. 3368-3372 [doi]
• Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based SearchYi Qi, Ke Hu, Bo Zhang, Jia Cheng, Jun Lei. 3373-3377 [doi]
• Reputation Equity in Ranking SystemsGuilherme Ramos, Ludovico Boratto, Mirko Marras. 3378-3382 [doi]
• Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal RetrievalJun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao 0001, Xuan Wang 0002. 3383-3387 [doi]
• Accelerating Variant Calling on Human Genomes Using a Commodity ClusterPraveen Rao 0001, Arun Zachariah, Deepthi S. Rao, Peter J. Tonellato, Wesley C. Warren, Eduardo Simoes. 3388-3392 [doi]
• A Conditional Cascade Model for Relational Triple ExtractionFeiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li. 3393-3397 [doi]
• Knowledge-Aware Neural Networks for Medical Forum Question ClassificationSoumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly. 3398-3402 [doi]
• Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine SearchMaciej Rybinski, Sarvnaz Karimi. 3403-3407 [doi]
• DeepGroup: Group Recommendation with Implicit FeedbackSarina Sajadi Ghaemmaghami, Amirali Salehi-Abari. 3408-3412 [doi]
• Locate Who You Are: Matching Geo-location to Text for User Identity LinkageJiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng. 3413-3417 [doi]
• Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task NetworkManjira Sinha, Tirthankar Dasgupta. 3418-3422 [doi]
• Predicting Success of a Persuasion through Joint Modeling of Utterance CategorizationManjira Sinha, Tirthankar Dasgupta. 3423-3427 [doi]
• Self-Supervised Learning based on Sentiment Analysis with Word Weight CalculationDongcheol Son, Youngjoong Ko. 3428-3432 [doi]
• Location-Aware Named Entity DisambiguationMaithrreye Srinivasan, Davood Rafiei. 3433-3438 [doi]
• AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series ForecastingHongyang Su, Xiaolong Wang 0001, Yang Qin. 3439-3442 [doi]
• Talking Face Generation Based on Information Bottleneck and Complementary RepresentationsJie Tang, Yiling Wu, Minglei Li 0001, Zhu Wang. 3443-3447 [doi]
• HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase GenerationTokala Yaswanth Sri Sai Santosh, Nikhil Reddy Varimalla, Anoop Vallabhajosyula, Debarshi Kumar Sanyal, Partha Pratim Das. 3448-3452 [doi]
• Query Embedding Pruning for Dense RetrievalNicola Tonellotto, Craig Macdonald. 3453-3457 [doi]
• Vector-Quantized Autoencoder With Copula for Collaborative FilteringGuanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang. 3458-3462 [doi]
• SportsSum2.0: Generating High-Quality Sports News from Live Text CommentaryJiaan Wang, Zhixu Li, Qiang Yang, Jianfeng Qu, Zhigang Chen, Qingsheng Liu, Guoping Hu. 3463-3467 [doi]
• Template-guided Clarifying Question Generation for Web Search ClarificationJian Wang, Wenjie Li. 3468-3472 [doi]
• Embedding Node Structural Role Identity Using Stress MajorizationLili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, Soroush Vosoughi. 3473-3477 [doi]
• Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution CharacterizationLili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi. 3478-3482 [doi]
• Fully Hyperbolic Graph Convolution Network for RecommendationLiping Wang, Fenyu Hu, Shu Wu, Liang Wang 0001. 3483-3487 [doi]
• Label-informed Graph Structure Learning for Node ClassificationLiping Wang, Fenyu Hu, Shu Wu, Liang Wang 0001. 3488-3492 [doi]
• BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing ValuesQinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao. 3493-3497 [doi]
• Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERTRunchuan Wang, Zhao Zhang 0011, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He 0003. 3498-3502 [doi]
• Modeling Inter-Claim Interactions for Verifying Multiple ClaimsShuai Wang, Wenji Mao. 3503-3507 [doi]
• Low-dimensional Alignment for Cross-Domain RecommendationTianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He. 3508-3512 [doi]
• DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNNYu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu. 3513-3517 [doi]
• Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender SystemsYuening Wang, Yingxue Zhang, Mark Coates. 3518-3522 [doi]
• Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented NetworksZhen Wang, Yang Zhang, Ai Jiang, Ji Zhang, Zhao Li, Jun Gao, Ke Li, Chenhao Lu, Zujie Ren. 3523-3527 [doi]
• AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate EstimationPenghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-Chih Lee, Bo Zheng. 3528-3532 [doi]
• Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge GraphsTobias Weller, Heiko Paulheim. 3533-3537 [doi]
• Structural Deep Incomplete Multi-view Clustering NetworkJie Wen 0001, Zhihao Wu, Zheng Zhang 0006, Lunke Fei, Bob Zhang, Yong Xu 0001. 3538-3542 [doi]
• SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored SearchShiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng. 3543-3547 [doi]
• Fairness-Aware Unsupervised Feature SelectionXiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li. 3548-3552 [doi]
• Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionYichen Xu, Yanqiao Zhu 0001, Feng Yu, Qiang Liu, Shu Wu. 3553-3557 [doi]
• DESTINE: Dense Subgraph Detection on Multi-Layered NetworksZhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, JieJun Xu, Hanghang Tong. 3558-3562 [doi]
• Binary Code based Hash Embedding for Web-scale ApplicationsBencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng. 3563-3567 [doi]
• Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based LayerBencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng. 3568-3572 [doi]
• Relation-aware Heterogeneous Graph for User ProfilingQilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang. 3573-3577 [doi]
• Multi-Sentence Argument Linking via An Event-Aware Hierarchical EncoderHang Yang, Yubo Chen 0001, Kang Liu 0001, Jun Zhao 0001, Taifeng Wang. 3578-3582 [doi]
• SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect EstimationLiuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang. 3583-3587 [doi]
• GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem EvolutionYonghao Gu, Liangxun Li. 3588-3591 [doi]
• Improving Query Representations for Dense Retrieval with Pseudo Relevance FeedbackHongChien Yu, Chenyan Xiong, Jamie Callan. 3592-3596 [doi]
• MixBERT for Image-Ad Relevance Scoring in AdvertisingTan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li. 3597-3602 [doi]
• Aspect Sentiment Triplet Extraction Using Reinforcement LearningSamson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria. 3603-3607 [doi]
• Storing Multi-model Data in RDBMSs based on Reinforcement LearningGongsheng Yuan, Jiaheng Lu, Shuxun Zhang, Zhengtong Yan. 3608-3611 [doi]
• Multi-objective Privacy-preserving Text Representation LearningHuixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng. 3612-3616 [doi]
• Projective Ranking: A Transferable Evasion Attack Method on Graph Neural NetworksHe Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou 0001, Shuo Wang, Xingliang Yuan, Shirui Pan. 3617-3621 [doi]
• Causally Attentive Collaborative FilteringJingsen Zhang, Xu Chen, Wayne Xin Zhao. 3622-3626 [doi]
• SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item RecommendationKai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen. 3627-3631 [doi]
• Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local FeaturesWang Zhang, Xuan Guo, Ting Pan, ChaoChao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang 0002. 3632-3636 [doi]
• Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 PandemicWenJia Zhang, Lin Gui 0003, Yulan He. 3637-3641 [doi]
• DML: Dynamic Multi-Granularity Learning for BERT-Based Document RerankingXuanyu Zhang, Qing Yang. 3642-3646 [doi]
• DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training EncoderZhenyu Zhang, Tao Guo, Meng Chen. 3647-3651 [doi]
• Enriching Ontology with Temporal Commonsense for Low-Resource Audio TaggingZhiling Zhang, Zelin Zhou, Haifeng Tang, Guangwei Li, Mengyue Wu, Kenny Q. Zhu. 3652-3656 [doi]
• Multimodal Graph Meta Contrastive LearningFeng Zhao, Donglin Wang. 3657-3661 [doi]
• Multi-Task Self-Supervised Learning for Script Event PredictionBo Zhou, Yubo Chen 0001, Kang Liu 0001, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li. 3662-3666 [doi]
• SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity EmbeddingsHongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna. 3667-3671 [doi]
• Subtractive Aggregation for Attributed Network Anomaly DetectionShuang Zhou 0012, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung. 3672-3676 [doi]
• Tabular Data Concept Type Detection Using Star-TransformersYiwei Zhou, Siffi Singh, Christos Christodoulopoulos. 3677-3681 [doi]
• REFINE: Random RangE FInder for Network EmbeddingHao Zhu, Piotr Koniusz. 3682-3686 [doi]
• Self-Supervised Embedding for Subspace ClusteringWenjie Zhu, Bo Peng, Chunchun Chen. 3687-3691 [doi]
• Leveraging Semantic Information to Facilitate the Discovery of Underserved PodcastsMaryam Aziz, Alice Wang, Aasish Pappu, Hugues Bouchard, Yu Zhao, Benjamin A. Carterette, Mounia Lalmas. 3707-3716 [doi]
• Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme ClassificationTavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon. 3717-3726 [doi]
• Multi-Property Molecular Optimization using an Integrated Poly-Cycle ArchitectureGuy Barshatski, Galia Nordon, Kira Radinsky. 3727-3736 [doi]
• Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data AugmentationShuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen. 3737-3746 [doi]
• Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic GraphsLei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li 0001, Haifeng Chen. 3747-3756 [doi]
• Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR ModelsBo Chen, Yichao Wang 0002, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He. 3757-3766 [doi]
• ETA Prediction with Graph Neural Networks in Google MapsAustin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic. 3767-3776 [doi]
• AutoCombo: Automatic Malware Signature Generation Through Combination Rule MiningMin Du, Wenjun Hu, William Hewlett. 3777-3786 [doi]
• From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail CatalogPranay Dugar, Rajesh Shreedhar Bhat, Asit Sharad Tarsode, Uddipto Dutta, Kunal Banerjee 0001, Anirban Chatterjee, Vijay Srinivas Agneeswaran. 3787-3795 [doi]
• Beast: Scalable Exploratory Analytics on Spatio-temporal DataAhmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim, A. B. Siddique, Samriddhi Singla, Ganesh Sivaram, Tin Vu, Yaming Zhang. 3796-3807 [doi]
• SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot DetectionShangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo. 3808-3817 [doi]
• Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop ApproachMartin Gerlach, Marshall Miller, Rita Ho, Kosta Harlan, Djellel Difallah. 3818-3827 [doi]
• Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerceYulong Gu, Wentian Bao, Dan Ou, Xiang Li, Baoliang Cui, Biyu Ma, Haikuan Huang, Qingwen Liu, Xiaoyi Zeng. 3828-3837 [doi]
• Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning ApproachChuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye. 3838-3846 [doi]
• ARGH!: Automated Rumor Generation HubLarry Huynh, Thai Nguyen, Joshua Goh, Hyoungshick Kim, Jin B. Hong. 3847-3856 [doi]
• LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop AdvertisingJinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song. 3857-3866 [doi]
• Prohibited Item Detection on Heterogeneous Risk GraphsYugang Ji, Chuan Shi, Xiao Wang. 3867-3877 [doi]
• Unbiased Filtering of Accidental Clicks in Verizon Media Native AdvertisingYohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh. 3878-3887 [doi]
• Understanding Job Seeker Funnel for Search and Discovery PersonalizationNagaraj Kota, Venkatesh Duppada, Ashvini Jindal, Mohit Wadhwa. 3888-3897 [doi]
• Learning to Bundle Proactively for On-Demand Meal DeliveryChengbo Li, Lin Zhu, Guangyuan Fu, Longzhi Du, Canhua Zhao, Tianlun Ma, Chang Ye, Pei Lee. 3898-3905 [doi]
• Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDBJianchuan Li, Peiquan Jin, Yuanjin Lin, Ming Zhao, Yi Wang, Kuankuan Guo. 3906-3915 [doi]
• Causal-Aware Generative Imputation for Automated UnderwritingQian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu. 3916-3924 [doi]
• Grassland: A Rapid Algebraic Modeling System for Million-variable OptimizationXihan Li 0001, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang. 3925-3934 [doi]
• Unsupervised Categorical Representation Learning for Package Arrival Time PredictionYang Li, Xingyu Wu, Jinglong Wang, Yong Liu, Xiaoqing Wang, Yuming Deng, Chunyan Miao. 3935-3944 [doi]
• You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI RecommendationZeYu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang. 3945-3954 [doi]
• Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure SeriesShuming Liang, Zhidong Li, Bin Liang 0003, Yu Ding, Yang Wang, Fang Chen. 3955-3964 [doi]
• Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical RetrievalPeiyang Liu, Xi Wang, Lin Wang, Wei Ye, Xiangyu Xi, Shikun Zhang. 3965-3975 [doi]
• Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword MatchingZongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng. 3976-3985 [doi]
• Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale TaskPatrice Lopez, Caifan Du, Johanna Cohoon, Karthik Ram, James Howison. 3986-3995 [doi]
• Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music RecommendationsRishabh Mehrotra. 3996-4005 [doi]
• Sequential Search with Off-Policy Reinforcement LearningDadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang. 4006-4015 [doi]
• Scalable Learning to Troubleshoot Query Performance ProblemsAlexandar Mihaylov, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte. 4016-4025 [doi]
• Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture SearchKeith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu. 4026-4035 [doi]
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• Prioritizing Original News on FacebookXiuyan Ni, Shujian Bu, Lucas Adams, Igor L. Markov. 4046-4054 [doi]
• Learning to Expand: Reinforced Response Expansion for Information-seeking ConversationsHaojie Pan, Cen Chen, Chengyu Wang 0001, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang. 4055-4064 [doi]
• Dual Learning for Query Generation and Query Selection in Query Feeds RecommendationKunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen. 4065-4074 [doi]
• EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP ApplicationsMinghui Qiu, Peng Li, Chengyu Wang 0001, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai 0001, Wei Lin 0016. 4075-4084 [doi]
• From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link PredictionRyan A. Rossi, Anup B. Rao, SungChul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu. 4085-4093 [doi]
• SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel ScenariosQijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, Quan Lu. 4094-4103 [doi]
• One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR PredictionXiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu. 4104-4113 [doi]
• From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk IndustryRoee Shraga, Gil Katz, Yael Badian, Nitay Calderon, Avigdor Gal. 4114-4124 [doi]
• K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question AnsweringFu Sun, Feng-Lin Li, Ruize Wang, Qianglong Chen, Xingyi Cheng, Ji Zhang. 4125-4134 [doi]
• GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu MapsYibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu 0004, Bing Qin 0001. 4135-4144 [doi]
• AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression ScreeningErmal Toto, M. L. Tlachac, Elke A. Rundensteiner. 4145-4154 [doi]
• WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on WikipediaMykola Trokhymovych, Diego Sáez-Trumper. 4155-4164 [doi]
• Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-VirusYun-Da Tsai, Cheng-Kuan Chen, Shou-de Lin. 4165-4172 [doi]
• SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus ExpansionMuntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad DeLuca, Steve Welch, Ismini Lourentzou. 4173-4183 [doi]
• Fulfillment-Time-Aware Personalized Ranking for On-Demand Food RecommendationHaishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou 0001, Jiajun Bu. 4184-4192 [doi]
• Influence Maximization in Multi-Relational Social NetworksWei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin. 4193-4202 [doi]
• Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search AdvertisingXin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li. 4203-4213 [doi]
• 'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial FraudsZihao Wang, Fudong Wang, Haipeng Zhang, Minghui Yang, Shaosheng Cao, Zujie Wen, Zhe Zhang. 4214-4223 [doi]
• Flexible O&M for Telecom Networks at Huawei: A Language Model-based ApproachShuang Wu, Zhen Qin, Zhen Wang, Siwei Rao, Qiang Ye, Xingyue Quan, Guangjian Tian. 4224-4233 [doi]
• Crawler Detection in Location-Based Services Using Attributed Action NetWei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li. 4234-4242 [doi]
• Explore, Filter and Distill: Distilled Reinforcement Learning in RecommendationRuobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia 0006, Leyu Lin. 4243-4252 [doi]
• CausCF: Causal Collaborative Filtering for Recommendation Effect EstimationXu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun 0001, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui 0001, Bolin Ding. 4253-4263 [doi]
• Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed CompaniesZhengqi Xu, Yixuan Cao, Rongyu Cao, Guoxiang Li, Xuanqiang Liu, Yan Pang, Yangbin Wang, Jianfei Zhang, Allie Cheung, Matthew Tam, Lukas Petrikas, Ping Luo 0001. 4264-4272 [doi]
• Contextual Skill Proficiency via Multi-task Learning at LinkedInXiao Yan, Ada Ma, Jaewon Yang, Lin Zhu, How Jing, Jacob Bollinger, Qi He. 4273-4282 [doi]
• CADRE: A Cloud-Based Data Service for Big Bibliographic DataXiaoran Yan, Guangchen Ruan, Dimitar Nikolov, Matthew Hutchinson, Chathuri Peli Kankanamalage, Benjamin Serrette, James McCombs, Alan Walsh, Esen Tuna, Valentin Pentchev. 4283-4292 [doi]
• Seasonal Relevance in E-Commerce SearchHaode Yang, Parth Gupta, Roberto Fernández Galán, Dan Bu, Dongmei Jia. 4293-4301 [doi]
• On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App RecommendationWenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi. 4302-4311 [doi]
• Cascaded Deep Neural Ranking Models in LinkedIn People SearchZimeng Yang, Song Yan, Abhimanyu Lad, Xiaowei Liu, Weiwei Guo. 4312-4320 [doi]
• Self-supervised Learning for Large-scale Item RecommendationsTiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger. 4321-4330 [doi]
• Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment NetworksChin-Chia Michael Yeh, Zhongfang Zhuang, JunPeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang 0047, Wei Zhang 0189. 4331-4340 [doi]
• Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu AdvertisingTan Yu, Yi Yang, Yi Li, Lin Liu, Mingming Sun, Ping Li. 4341-4351 [doi]
• CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit KnowledgeChao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou. 4352-4361 [doi]
• QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value ExtractionDanqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang. 4362-4372 [doi]
• CloudRCA: A Root Cause Analysis Framework for Cloud Computing PlatformsYingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun 0001, Junwei Jiang, Lunting Fan, Min Ke. 4373-4382 [doi]
• HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend ForecastingShun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian 0002, Tie-Yan Liu. 4383-4392 [doi]
• Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing ProblemQianwen Zhu,