Table of Contents

• Gated Information Bottleneck for Generalization in Sequential EnvironmentsFrancesco Alesiani, Shujian Yu, Xi Yu. 1-10 [doi]
• Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water TemperatureTianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Taylor T. Johnson. 11-20 [doi]
• A Linear Primal-Dual Multi-Instance SVM for Big Data ClassificationsLodewijk Brand, Lauren Zoe Baker, Carla Ellefsen, Jackson Sargent, Hua Wang 0007. 21-30 [doi]
• Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial DependenceWennan Chang, Pengdao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, Sha Cao. 31-40 [doi]
• Differentially Private String Sanitization for Frequency-Based Mining TasksHuiping Chen, Changyu Dong, Liyue Fan, Grigorios Loukides, Solon P. Pissis, Leen Stougie. 41-50 [doi]
• Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-trainingMingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen. 51-60 [doi]
• Highly Scalable and Provably Accurate Classification in Poincaré BallsEli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic. 61-70 [doi]
• Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post CollectionsRob Churchill, Lisa Singh. 71-80 [doi]
• TRIO: Task-agnostic dataset representation optimized for automatic algorithm selectionNoy Cohen-Shapira, Lior Rokach. 81-90 [doi]
• Hypergraph Ego-networks and Their Temporal EvolutionCazamere Comrie, Jon M. Kleinberg. 91-100 [doi]
• MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta LearningManqing Dong, Lina Yao, Xianzhi Wang 0001, Xiwei Xu, Liming Zhu 0001. 101-110 [doi]
• ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural NetworkXingcheng Fu, Jianxin Li 0001, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu. 111-120 [doi]
• Dictionary Pair-based Data-Free Fast Deep Neural Network CompressionYangcheng Gao, Zhao Zhang, Haijun Zhang 0002, Mingbo Zhao, Yi Yang, Meng Wang 0001. 121-130 [doi]
• GNES: Learning to Explain Graph Neural NetworksYuyang Gao, Tong Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Hong, Liang Zhao 0002. 131-140 [doi]
• Graph Transfer LearningAndrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis. 141-150 [doi]
• Finding Age Path of Self-Paced LearningBin Gu 0001, Zhou Zhai, Xiang Li, Heng Huang. 151-160 [doi]
• Continual Learning for Multivariate Time Series Tasks with Variable Input DimensionsVibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff. 161-170 [doi]
• LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle TimeIdo Hakimi, Rotem Zamir Aviv, Kfir Y. Levy, Assaf Schuster. 171-180 [doi]
• Online Learning in Variable Feature Spaces with Mixed DataYi He, Jiaxian Dong, Bo-Jian Hou, Yu Wang, Fei Wang. 181-190 [doi]
• GANBLR: A Tabular Data Generation ModelYishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li 0009. 181-190 [doi]
• Conversion Prediction with Delayed Feedback: A Multi-task Learning ApproachYilin Hou, Guangming Zhao, Chuanren Liu, Zhonglin Zu, Xiaoqiang Zhu. 191-199 [doi]
• Flexible, Robust, Scalable Semi-supervised Learning via Reliability PropagationChen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, Junming Shao. 200-209 [doi]
• Group-Level Cognitive Diagnosis: A Multi-Task Learning PerspectiveJie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su 0002, Shijin Wang 0001. 210-219 [doi]
• STAN: Adversarial Network for Cross-domain Question Difficulty PredictionYe Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang 0001. 220-229 [doi]
• Climate Modeling with Neural Diffusion EquationsJeeHyun Hwang, Jeongwhan Choi 0002, Hwangyong Choi, Kookjin Lee, Dongeun Lee 0001, Noseong Park. 230-239 [doi]
• Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare NetworkHankyu Jang, Shreyas Pai, Bijaya Adhikari, Sriram V. Pemmaraju. 240-249 [doi]
• Attentive Neural Controlled Differential Equations for Time-series Classification and ForecastingSheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon. 250-259 [doi]
• Hypergraph Convolutional Network for Group RecommendationRenqi Jia, Xiaofei Zhou, Linhua Dong, Shirui Pan. 260-269 [doi]
• Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River SystemsXiaowei Jia, Yiqun Xie, Sheng Li 0001, Shengyu Chen, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read. 270-279 [doi]
• Crowdsourcing with Self-paced WorkersXiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren 0001, LiZhen Cui. 280-289 [doi]
• MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender SystemsYun-Yong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee 0001, Sang-Wook Kim. 290-299 [doi]
• Anomaly Detection with Prototype-Guided Discriminative Latent EmbeddingsYuandu Lai, Yahong Han, Yaowei Wang. 300-309 [doi]
• THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact CountingGeon Lee, Kijung Shin. 310-319 [doi]
• BaT: Beat-aligned Transformer for Electrocardiogram ClassificationXiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, Buyue Qian. 320-329 [doi]
• Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced RecommendationXujia Li, Yanyan Shen, Lei Chen. 330-339 [doi]
• Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series AnalysisYang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng 0001, Hansen Zheng, Fenglang Wu, Chen Li. 340-349 [doi]
• Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based ApproachYunchuan Li, Yan Zhao, Kai Zheng 0001. 350-359 [doi]
• Disentangled Deep Multivariate Hawkes Process for Learning Event SequencesXixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang. 360-369 [doi]
• SSDNet: State Space Decomposition Neural Network for Time Series ForecastingYang Lin, Irena Koprinska, Mashud Rana. 370-378 [doi]
• Deep Generation of Heterogeneous NetworksChen Ling, Carl Yang, Liang Zhao. 379-388 [doi]
• Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural NetworkHuijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen. 389-398 [doi]
• Efficient Reinforced Feature Selection via Early Stopping Traverse StrategyKunpeng Liu 0001, Pengfei Wang 0008, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu. 399-408 [doi]
• Multi-objective Explanations of GNN PredictionsYiFei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie. 409-418 [doi]
• FGC-Stream: A novel joint miner for frequent generators and closed itemsets in data streamsTomas Martin, Petko Valtchev, Louis-Romain Roux. 419-428 [doi]
• Multi-way Time Series Join on Multi-length PatternsMd. Parvez Mollah, Vinicius M. A. Souza, Abdullah Mueen 0001. 429-438 [doi]
• Outlier-Robust Multi-View Subspace Clustering with Prior ConstraintsMehrnaz Najafi, Lifang He 0001, Philip S. Yu. 439-448 [doi]
• Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health RecordsShuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang. 449-458 [doi]
• Cutting to the Chase with Warm-Start Contextual BanditsBastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein. 459-468 [doi]
• Towards Generating Real-World Time Series DataHengzhi Pei, Kan Ren, YuQing Yang, Chang Liu, Tao Qin, Dongsheng Li. 469-478 [doi]
• GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL NetworksJingshu Peng, Yanyan Shen, Lei Chen. 479-488 [doi]
• Sequential Diagnosis Prediction with Transformer and Ontological RepresentationXueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang 0002. 489-498 [doi]
• Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task LearningThai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, Ping Zhang. 499-508 [doi]
• Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal PriorGaël Poux-Médard, Julien Velcin, Sabine Loudcher. 509-518 [doi]
• Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential RecommendationRuihong Qiu, Zi Huang, Hongzhi Yin. 519-528 [doi]
• Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast ConvergenceJiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, Meng Wang. 529-538 [doi]
• Truth Discovery in Sequence Labels from CrowdsNasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li. 539-548 [doi]
• Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply ChainsDhruv Sahnan, Snehil Dahiya, Vasu Goel, Anil Bandhakavi, Tanmoy Chakraborty 0002. 549-558 [doi]
• Fast Attributed Graph Embedding via Density of StatesSaurabh Sawlani, Lingxiao Zhao, Leman Akoglu. 559-568 [doi]
• PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring BudgetDev Yashpal Sheth, Arun Rajkumar. 569-578 [doi]
• Attention-based Feature Interaction for Efficient Online Knowledge DistillationTongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang 0001, Xiaoguang Liu 0001. 579-588 [doi]
• Ultra fast warping window optimization for Dynamic Time WarpingChang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb. 589-598 [doi]
• A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit LearningQiao Tang, Hong Xie. 599-608 [doi]
• Fast computation of distance-generalized cores using samplingNikolaj Tatti. 609-618 [doi]
• Isolation Kernel Density EstimationKai Ming Ting, Takashi Washio, Jonathan R. Wells, Hang Zhang. 619-628 [doi]
• DCF: An Efficient and Robust Density-Based Clustering MethodJoshua Tobin, Mimi Zhang. 629-638 [doi]
• CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown NetworkAndrea Tonon, Fabio Vandin. 639-648 [doi]
• Precise Bayes Classifier: Summary of ResultsAmin Vahedian, Xun Zhou. 649-658 [doi]
• USTEP: Unfixed Search Tree for Efficient Log ParsingArthur Vervaet, Raja Chiky, Mar Callau-Zori. 659-668 [doi]
• Deep Reinforced Attention Regression for Partial Sketch Based Image RetrievalDingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu 0001. 669-678 [doi]
• Deep Human-guided Conditional Variational Generative Modeling for Automated Urban PlanningDongjie Wang, Kunpeng Liu 0001, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu. 679-688 [doi]
• Combining Ranking and Point-wise Losses for Training Deep Survival Analysis ModelsLu Wang, Yan Li, Mark H. Chignell. 689-698 [doi]
• Global Convolutional Neural ProcessesXueSong Wang 0002, Lina Yao, Xianzhi Wang 0001, Hye-Young Paik, Sen Wang 0001. 699-708 [doi]
• Nonlinear Causal Structure Learning for Mixed DataWenjuan Wei, Lu Feng 0002. 709-718 [doi]
• Learning to Reweight Samples with Offline Loss SequenceYuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li. 719-728 [doi]
• PRGAN: Personalized Recommendation with Conditional Generative Adversarial NetworksJing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian. 729-738 [doi]
• A Regularized Wasserstein Framework for Graph KernelsAsiri Wijesinghe, Qing Wang 0002, Stephen Gould. 739-748 [doi]
• Impression Allocation and Policy Search in Display AdvertisingDi Wu 0035, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee. 749-756 [doi]
• Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal ClassificationMeng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou. 757-766 [doi]
• A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial HeterogeneityYiqun Xie, Erhu He, Xiaowei Jia, Han Bao 0003, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam. 767-776 [doi]
• Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge GraphXiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang. 777-786 [doi]
• Hyper Meta-Path Contrastive Learning for Multi-Behavior RecommendationHaoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu. 787-796 [doi]
• Graph-based Adversarial Online Kernel Learning with Adaptive EmbeddingPeng Yang, Xiaoyun Li, Ping Li. 797-806 [doi]
• Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive AdversariesShuo Yang, Zeyu Feng, Pei Du, Bo Du 0001, Chang Xu 0002. 807-816 [doi]
• Space Meets Time: Local Spacetime Neural Network For Traffic Flow ForecastingSong Yang, Jiamou Liu, Kaiqi Zhao 0001. 817-826 [doi]
• Accurate Graph-Based PU Learning without Class PriorJaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang. 827-836 [doi]
• AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich NetworksZhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han 0001. 837-846 [doi]
• Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with UnobservabilityJingyi Yuan, Yang Weng. 847-856 [doi]
• SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health RecordsChengxi Zang, Fei Wang 0001. 857-866 [doi]
• FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and ImbalanceGe Zhang, Jia Wu 0001, Jian Yang 0001, Amin Beheshti, Shan Xue, Chuan Zhou 0001, Quan Z. Sheng. 867-876 [doi]
• Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse RegularizationJiuling Zhang, Zhiming Ding. 877-885 [doi]
• Fair Decision-making Under UncertaintyWenbin Zhang 0002, Jeremy C. Weiss. 886-895 [doi]
• AutoEmb: Automated Embedding Dimensionality Search in Streaming RecommendationsXiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang. 896-905 [doi]
• DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics PredictionXin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo 0007. 906-915 [doi]
• Few-Shot Partial Multi-Label LearningYunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, LiZhen Cui. 926-935 [doi]
• Discriminative Additive Scale Loss for Deep Imbalanced Classification and EmbeddingZhao Zhang, Weiming Jiang, Yang Wang 0023, Qiaolin Ye, Mingbo Zhao, Mingliang Xu, Meng Wang. 936-945 [doi]
• Triplet Deep Subspace Clustering via Self-Supervised Data AugmentationZhao Zhang, Xianzhen Li, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang. 946-955 [doi]
• Temporal Clustering with External Memory Network for Disease Progression ModelingZicong Zhang, Changchang Yin, Ping Zhang. 956-965 [doi]
• Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical SystemZiming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou. 966-975 [doi]
• PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-SeriesFutoon M. Abushaqra, Hao Xue 0001, Yongli Ren, Flora D. Salim. 976-981 [doi]
• TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic ForecastingMuhammad Afif Ali, Suriya Venkatesan, Victor Liang, Hannes Kruppa. 982-987 [doi]
• DIVINIA: Rare Object Localization and Search in Overhead ImageryJonathan Amazon, Khurram Shafique, Zeeshan Rasheed, Aaron Reite. 988-993 [doi]
• Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic GatesOren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein. 994-999 [doi]
• LOGIC: Probabilistic Machine Learning for Time Series ClassificationFabian Berns, Jan David Hüwel, Christian Beecks. 1000-1005 [doi]
• K-means for Evolving Data StreamsArkaitz Bidaurrazaga, Aritz Pérez, Marco Capó. 1006-1011 [doi]
• Generating Explanations for Recommendation Systems via Injective VAEZerui Cai. 1012-1017 [doi]
• Self-learn to Explain Siamese Networks RobustlyChao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie. 1018-1023 [doi]
• Heterogeneous Stream-reservoir Graph Networks with Data AssimilationShengyu Chen, Alison P. Appling, Samantha Oliver, Hayley Corson-Dosch, Jordan S. Read, Jeffrey Sadler, Jacob Zwart, Xiaowei Jia. 1024-1029 [doi]
• Improving Deep Forest by Exploiting High-order InteractionsYi-He Chen, Shen-Huan Lyu, Yuan Jiang. 1030-1035 [doi]
• Promoting Fairness through Hyperparameter OptimizationAndré Ferreira Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro. 1036-1041 [doi]
• Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume InferenceShaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong. 1042-1047 [doi]
• Gain-Some-Lose-Some: Reliable Quantification Under General Dataset ShiftBenjamin Denham, Edmund M.-K. Lai, Roopak Sinha, M. Asif Naeem. 1048-1053 [doi]
• Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein DistanceWei Fan, Kunpeng Liu 0001, Rui Xie, Hao Liu 0026, Hui Xiong 0001, Yanjie Fu. 1054-1059 [doi]
• GCN-SE: Attention as Explainability for Node Classification in Dynamic GraphsYucai Fan, Yuhang Yao, Carlee Joe-Wong. 1060-1065 [doi]
• Heterogeneous Graph Neural Architecture SearchYang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu. 1066-1071 [doi]
• Attacking Similarity-Based Sign PredictionMichal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Kai Zhou, Yulin Zhu. 1072-1077 [doi]
• Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One StoneHui Guan, Umana Chaudhary, Yuanchao Xu 0001, Lin Ning 0001, Lijun Zhang, Xipeng Shen. 1078-1083 [doi]
• PaGAN: Generative Adversarial Network for Patent understandingGuillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci. 1084-1089 [doi]
• Federated Principal Component Analysis for Genome-Wide Association StudiesAnne Hartebrodt, Reza Nasirigerdeh, David B. Blumenthal, Richard Röttger. 1090-1095 [doi]
• Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures SegmentationYuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li 0001. 1096-1101 [doi]
• Source Inference Attacks in Federated LearningHongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang. 1102-1107 [doi]
• MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion PredictionNingbo Huang, Gang Zhou, Mengli Zhang, Meng Zhang. 1108-1113 [doi]
• Trajectory WaveNet: A Trajectory-Based Model for Traffic ForecastingBo Hui, Da Yan 0001, Haiquan Chen, Wei-Shinn Ku. 1114-1119 [doi]
• Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time SeriesMakoto Imamura, Takaaki Nakamura. 1120-1125 [doi]
• Bi-Level Attention Graph Neural NetworksRoshni G. Iyer, Wei Wang 0010, Yizhou Sun. 1126-1131 [doi]
• SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient MetadataAjay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding. 1132-1137 [doi]
• Heterogeneous Graph Neural Network with Distance EncodingHouye Ji, Cheng Yang, Chuan Shi, Pan Li 0001. 1138-1143 [doi]
• An Effective and Robust Framework by Modeling Correlations of Multiplex Network EmbeddingPengfei Jiao, Ruili Lu, Di Jin, YingHui Wang, Huaming Wu. 1144-1149 [doi]
• Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed NetworksYoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, Sang-Wook Kim. 1150-1155 [doi]
• Addressing Exposure Bias in Uplift Modeling for Large-scale Online AdvertisingWenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu. 1156-1161 [doi]
• ENGINE: Enhancing Neuroimaging and Genetic Information by Neural EmbeddingWonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk. 1162-1167 [doi]
• Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language ProcessingJan Kocon, Marcin Gruza, Julita Bielaniewicz, Damian Grimling, Kamil Kanclerz, Piotr Milkowski, Przemyslaw Kazienko. 1168-1173 [doi]
• Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty LearningPreethi Lahoti, Krishna P. Gummadi, Gerhard Weikum. 1174-1179 [doi]
• Learnable Structural Semantic Readout for Graph ClassificationDongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu. 1180-1185 [doi]
• Out-of-Category Document Identification Using Target-Category Names as Weak SupervisionDongha Lee, Dongmin Hyun, Jiawei Han 0001, Hwanjo Yu. 1186-1191 [doi]
• Robust BiPoly-Matching for Multi-Granular EntitiesWeen Jiann Lee, Maksim Tkachenko, Hady W. Lauw. 1192-1197 [doi]
• StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation LearningWen-Zhi Li, Ling Huang, Chang-Dong Wang, Yu-Xin Ye. 1198-1203 [doi]
• Adversarial Regularized Reconstruction for Anomaly Detection and GenerationAngelica Liguori, Giuseppe Manco 0001, Francesco Sergio Pisani, Ettore Ritacco. 1204-1209 [doi]
• HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List ContinuationM. Vijaikumar, Deepesh V. Hada, Shirish K. Shevade. 1210-1215 [doi]
• Communication Efficient Tensor Factorization for Decentralized Healthcare NetworksJing Ma, Qiuchen Zhang, Jian Lou 0001, Li Xiong 0001, Sivasubramanium Bhavani, Joyce C. Ho. 1216-1221 [doi]
• An Ensemble of Naive Bayes Classifiers for Uncertain Categorical DataMarcelo Rodrigues de Holanda Maia, Alexandre Plastino 0001, Alex Alves Freitas. 1222-1227 [doi]
• Accurately Quantifying under Score VariabilityAndré Gustavo Maletzke, Denis Moreira dos Reis, Waqar Hassan, Gustavo Batista. 1228-1233 [doi]
• Semi-Supervised Graph Attention Networks for Event Representation LearningJoão Pedro Rodrigues Mattos, Ricardo M. Marcacini. 1234-1239 [doi]
• Matrix Profile XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World ClassificationRyan Mercer, Sara Alaee, Alireza Abdoli, Shailendra Singh, Amy C. Murillo, Eamonn J. Keogh. 1240-1245 [doi]
• PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow FieldsNikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne. 1246-1251 [doi]
• Exploring Reflective Limitation of Behavior Cloning in Autonomous VehiclesMohammad Hossein Nazeri, Mahdi Bohlouli. 1252-1257 [doi]
• MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start RecommendationsKrishna Prasad Neupane, Ervine Zheng, Qi Yu 0001. 1258-1263 [doi]
• STING: Self-attention based Time-series Imputation Networks using GANEunkyu Oh, Taehun Kim, Yunhu Ji, Sushil Khyalia. 1264-1269 [doi]
• Multi-Classification Prediction of Alzheimer's Disease based on Fusing Multi-modal FeaturesQiao Pan, Ke Ding, Dehua Chen. 1270-1275 [doi]
• A general framework for mining concept-drifting data streams with evolvable featuresJiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, Junming Shao. 1276-1281 [doi]
• Density-Based Clustering for Adaptive Density VariationLi Qian, Claudia Plant, Christian Böhm. 1282-1287 [doi]
• GQNAS: Graph Q Network for Neural Architecture SearchYijian Qin, Xin Wang, Peng Cui, Wenwu Zhu 0001. 1288-1293 [doi]
• Incomplete Multi-view Multi-label Active LearningChuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, Carlotta Domeniconi. 1294-1299 [doi]
• Causal Discovery with Flow-based Conditional Density EstimationShaogang Ren, Haiyan Yin, Mingming Sun, Ping Li 0001. 1300-1305 [doi]
• Scalable Pareto Front Approximation for Deep Multi-Objective LearningMichael Ruchte, Josif Grabocka. 1306-1311 [doi]
• Alternative Ruleset Discovery to Support Black-box Model PredictionsYoichi Sasaki, Yuzuru Okajima. 1312-1317 [doi]
• Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency ServicesYasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, Abhishek Dubey. 1318-1323 [doi]
• 3: Domain-Agnostic Neural Time-series NarrationMandar Sharma, John S. Brownstein, Naren Ramakrishnan. 1324-1329 [doi]
• Compressibility of Distributed Document RepresentationsBlaz Skrlj, Matej Petkovic. 1330-1335 [doi]
• Multimodal N-best List Rescoring with Weakly Supervised Pre-training in Hybrid Speech RecognitionYuanfeng Song, Xiaoling Huang, Xuefang Zhao, Di Jiang, Raymond Chi-Wing Wong. 1336-1341 [doi]
• Learning Dynamic User Interactions for Online Forum Commenting PredictionWu-Jiu Sun, Xiao Fan Liu, Fei Shen. 1342-1347 [doi]
• Pest-YOLO: Deep Image Mining and Multi-Feature Fusion for Real-Time Agriculture Pest DetectionZhe Tang, Zhengyun Chen, Fang Qi, Lingyan Zhang, Shuhong Chen. 1348-1353 [doi]
• PSANet - subspace attention for personalized compatibilityMeet Taraviya, Anurag Beniwal, Yen-Liang Lin, Larry Davis 0001. 1354-1360 [doi]
• Streaming Dynamic Graph Neural Networks for Continuous-Time Temporal Graph Modelingsheng Tian, Tao Xiong, Leilei Shi. 1361-1366 [doi]
• DhakaNet: Unstructured Vehicle Detection using Limited Computational ResourcesTarik Reza Toha, Masfiqur Rahaman, Saiful Islam Salim, Mainul Hossain, Arif Mohaimin Sadri, A. B. M. Alim Al Islam. 1367-1372 [doi]
• Detecting adversaries in CrowdsourcingPanagiotis A. Traganitis, Georgios B. Giannakis. 1373-1378 [doi]
• A Lookahead Algorithm for Robust Subspace RecoveryGuihong Wan, Haim Schweitzer. 1379-1384 [doi]
• Dynamic Attributed Graph Prediction with Conditional Normalizing FlowsDaheng Wang, Tong Zhao 0003, Nitesh V. Chawla, Meng Jiang 0001. 1385-1390 [doi]
• Aspect-based Sentiment Classification via Reinforcement LearningLichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu 0001. 1391-1396 [doi]
• Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton MatchesWei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, Wen-Chih Peng. 1397-1402 [doi]
• Constrained Non-Affine Alignment of EmbeddingsYuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li 0001, Wei Zhang, Jeff M. Phillips. 1403-1408 [doi]
• Summarizing User-Item Matrix By Group Utility MaximizationYongJie Wang, Ke Wang 0001, Cheng Long, Chunyan Miao. 1409-1414 [doi]
• BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text MiningXiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu. 1415-1420 [doi]
• Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and ImplicationsBang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan. 1421-1426 [doi]
• Composition-Enhanced Graph Collaborative Filtering for Multi-behavior RecommendationDaqing Wu, Xiao Luo, Zeyu Ma, Chong Chen 0002, Pengfei Wang, Minghua Deng, Jinwen Ma. 1427-1432 [doi]
• Boosting Deep Ensemble Performance with Hierarchical PruningYanzhao Wu, Ling Liu 0001. 1433-1438 [doi]
• Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and InferenceLe Xu, Lei Cheng 0003, Ngai Wong, Yik-Chung Wu. 1439-1444 [doi]
• Towards Stochastic Neural Network via Feature Distribution CalibrationHao Yang, Min Wang, Yun Zhou 0001, Yongxin Yang. 1445-1450 [doi]
• Zero-shot Key Information Extraction from Mixed-Style Tables: Pre-training on WikipediaQingping Yang, Yingpeng Hu, Rongyu Cao, Hongwei Li 0002, Ping Luo 0001. 1451-1456 [doi]
• Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear ClassificationJui-Nan Yen, Chih-Jen Lin. 1457-1462 [doi]
• Online Testing of Subgroup Treatment Effects Based on Value DifferenceMiao Yu, Wenbin Lu, Rui Song. 1463-1468 [doi]
• Jointly Multi-Similarity Loss for Deep Metric LearningLi Zhang, Shitian Shen, Lingxiao Li, Han Wang, Xueying Li, Jun Lang. 1469-1474 [doi]
• Adaptive Spatio-Temporal Convolutional Network for Traffic PredictionMingyang Zhang, Yong Li 0008, Funing Sun, Diansheng Guo, Pan Hui 0001. 1475-1480 [doi]
• MERITS: Medication Recommendation for Chronic Disease with Irregular Time-SeriesShuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang. 1481-1486 [doi]
• Generating Structural Node Representations via Higher-order Features and Adversarial LearningWang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang 0002. 1487-1492 [doi]
• A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation LearningXu Zhang, Liang Zhang, Bo Jin, Xinjiang Lu. 1493-1498 [doi]
• Unified Fairness from Data to Learning AlgorithmYanfu Zhang, Lei Luo 0001, Heng Huang. 1499-1504 [doi]
• 3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial NetworksYingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo 0007. 1505-1510 [doi]
• LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing ValuesZhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou. 1511-1516 [doi]
• Graph Neighborhood Routing and Random Walk for Session-based RecommendationZizhuo Zhang, Bang Wang. 1517-1522 [doi]
• AdaBoosting Clusters on Graph Neural NetworksLi Zheng, Jun Gao, Zhao Li, Ji Zhang. 1523-1528 [doi]
• Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase GenerationCangqi Zhou, Jinling Shang, Jing Zhang 0015, Qianmu Li, Dianming Hu. 1529-1534 [doi]
• Joint Scence Network and Attention-Guided for Image CaptioningDongming Zhou, Jing Yang, Canlong Zhang, Yanping Tang. 1535-1540 [doi]
• Multi-Objective Distributional Reinforcement Learning for Large-Scale Order DispatchingFan Zhou 0003, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Jieping Ye, Hongtu Zhu. 1541-1546 [doi]
• Self-supervised Universal Domain Adaptation with Adaptive Memory SeparationRonghang Zhu, Sheng Li. 1547-1552 [doi]
• A new multiple instance algorithm using structural informationXiaoyan Zhu, Ting Wang, Jiayin Wang, Ying Xu, Yuqian Liu. 1553-1558 [doi]
• Operation-level Progressive Differentiable Architecture SearchXunyu Zhu, Jian Li, Yong Liu, Jun Liao, Weiping Wang. 1559-1564 [doi]
• SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time SeriesJingwei Zuo, Karine Zeitouni, Yehia Taher. 1565-1570 [doi]