Abstract is missing.
- Approximation algorithms for probabilistic $k$-center clusteringSharareh Alipour. 1-11 [doi]
- Fast Spatial AutocorrelationAnar Amgalan, Lilianne R. Mujica-Parodi, Steven S. Skiena. 12-21 [doi]
- ViVA: Semi-supervised Visualization via Variational AutoencodersSungtae An, Shenda Hong, Jimeng Sun. 22-31 [doi]
- Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack DetectionDongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu. 32-41 [doi]
- Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive TestingHaoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu 0003, Enhong Chen, Yu Su 0002, Shijin Wang 0001. 42-51 [doi]
- Improving Object Detection with Relation Mining NetworkShengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, Huifang Ma. 52-61 [doi]
- GraphEBM: Energy-based Graph Construction for Semi-Supervised LearningZhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang. 62-71 [doi]
- Learning to Undersampling for Class Imbalanced Credit Risk ForecastingJianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang. 72-81 [doi]
- Just Wait For It... Mining Sequential Patterns with Reliable Prediction DelaysJoscha Cüppers, Jilles Vreeken. 82-91 [doi]
- NAG: Neural feature aggregation framework for credit card fraud detectionKanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer. 92-101 [doi]
- Classifier Invariant Approach to Learn from Positive-Unlabeled DataAmit Dhurandhar, Karthik S. Gurumoorthy. 102-111 [doi]
- Modeling Personalized Out-of-Town Distances in Location RecommendationDaizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He 0001. 112-121 [doi]
- MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary EnvironmentsHonghui Du, Leandro L. Minku, Huiyu Zhou 0001. 122-131 [doi]
- Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground MarketYujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang 0002, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao 0002. 132-141 [doi]
- Online Bayesian Sparse Learning with Spike and Slab PriorsShikai Fang, Shandian Zhe, Kuang-Chih Lee, Kai Zhang 0001, Jennifer Neville. 142-151 [doi]
- Mining Text Outliers in Document DirectoriesEdouard Fouché, Yu Meng 0001, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han 0001. 152-161 [doi]
- Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural NetworksWenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song. 162-171 [doi]
- The Phantom Steering Effect in Q&A WebsitesNicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, Kobi Gal. 172-181 [doi]
- Metric-Free Individual Fairness with Cooperative Contextual BanditsQian Hu, Huzefa Rangwala. 182-191 [doi]
- Interest Sustainability-Aware Recommender SystemDongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu. 192-201 [doi]
- CITIES: Contextual Inference of Tail-item Embeddings for Sequential RecommendationSeongwon Jang, Hoyeop Lee, Hyunsouk Cho, Sehee Chung. 202-211 [doi]
- BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce SearchYunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin. 212-221 [doi]
- Sub-graph Contrast for Scalable Self-Supervised Graph Representation LearningYizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang 0009, Tianqi Zhang, Yangyong Zhu. 222-231 [doi]
- Fast Sparse Connectivity Network Adaption via Meta-LearningBo Jin 0001, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, Xiaopeng Wei. 232-241 [doi]
- Dynamic Similarity Search on Integer SketchesShunsuke Kanda, Yasuo Tabei. 242-251 [doi]
- Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable ModelsMinyoung Kim, Vladimir Pavlovic. 252-261 [doi]
- Soft Graph Matching: Submodular Relaxation and Lovász ExtensionAritra Konar, Nicholas D. Sidiropoulos. 262-271 [doi]
- Evolution of Real-world Hypergraphs: Patterns and Models without OraclesYunbum Kook, Jihoon Ko, Kijung Shin. 272-281 [doi]
- MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection ModelsThai Le, Suhang Wang, Dongwon Lee. 282-291 [doi]
- Semantics-assisted Wasserstein Learning for Topic and Word EmbeddingsChangchun Li, XiMing Li, Jihong OuYang, Yiming Wang. 292-301 [doi]
- Graph Pooling with RepresentativenessJuan-Hui Li, Yao Ma 0001, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang. 302-311 [doi]
- Community Detection with Local Metric LearningPeiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, Junming Shao. 312-321 [doi]
- Dynamic Graph Collaborative FilteringXiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu. 322-331 [doi]
- Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document RepresentationWenbo Li, Einoshin Suzuki. 332-341 [doi]
- Effective Proximal Methods for Non-convex Non-smooth Regularized LearningGuannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi. 342-351 [doi]
- Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal PredictionYijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, José Luis Ambite. 352-361 [doi]
- Online Optimized Product QuantizationChong Liu, Defu Lian, Min Nie, Hu Xia. 362-371 [doi]
- LP-Explain: Local Pictorial Explanation for OutliersHaoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen 0001, Jing Gao. 372-381 [doi]
- Estimating Individual Treatment Effects with Time-Varying ConfoundersRuoqi Liu, Changchang Yin, Ping Zhang 0016. 382-391 [doi]
- Context-aware Deep Representation Learning for Geo-spatiotemporal AnalysisHanzi Mao, Xi Liu 0011, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak Mohanty. 392-401 [doi]
- Efficient Top-k Temporal Closeness Calculation in Temporal NetworksLutz Oettershagen, Petra Mutzel. 402-411 [doi]
- BiteNet: Bidirectional Temporal Encoder Network to Predict Medical OutcomesXueping Peng, Guodong Long, Tao Shen, Sen Wang 0001, Jing Jiang 0002, Chengqi Zhang. 412-421 [doi]
- LineaRE: Simple but Powerful Knowledge Graph Embedding for Link PredictionYanhui Peng, Jing Zhang. 422-431 [doi]
- Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric LearningZiyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang 0008, Yuanchun Zhou. 432-441 [doi]
- Force2Vec: Parallel force-directed graph embeddingMd. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad. 442-451 [doi]
- Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News DetectionYuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang 0001. 452-461 [doi]
- Prescriptive Learning for Air-Cargo Revenue ManagementStefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla. 462-471 [doi]
- Beyond Localized Graph Neural Networks: An Attributed Motif Regularization FrameworkAravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram. 472-481 [doi]
- Spatiotemporal Hypergraph Convolution Network for Stock Movement ForecastingRamit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah. 482-491 [doi]
- Heterogeneous Molecular Graph Neural Networks for Predicting Molecule PropertiesZeren Shui, George Karypis. 492-500 [doi]
- Perfect: A Hyperbolic Embedding for Joint User and Community AlignmentLi Sun 0008, Zhongbao Zhang, Jiawei Zhang 0001, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu. 501-510 [doi]
- Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic NetworksQingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He 0001. 511-520 [doi]
- Adversarial Precision Sensing with Healthcare ApplicationsFengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou. 521-530 [doi]
- Probabilistic Neural-Kernel Tensor DecompositionConor Tillinghast, Shikai Fang, Kai Zhang 0001, Shandian Zhe. 531-540 [doi]
- Structure-based Knowledge Tracing: An Influence Propagation ViewShiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang 0001. 541-550 [doi]
- GRosSo: Mining Statistically Robust Patterns from a Sequence of DatasetsAndrea Tonon, Fabio Vandin. 551-560 [doi]
- Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment AnalysisSunny Verma, Jiwei Wang, Zhefeng Ge, Rujia Shen, Fan Jin, Yang Wang, Fang Chen, Wei Liu 0007. 561-570 [doi]
- Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted StructureChun Wang, Bo Han 0003, Shirui Pan, Jing Jiang, Gang Niu 0001, Guodong Long. 571-580 [doi]
- A Weighted Overlook Graph Representation of EEG Data for Absence Epilepsy DetectionJialin Wang, Shen Liang, Ye Wang, Yanchun Zhang, Dake He, Jiangang Ma, Chunyang Ruan, Yingpei Wu, Xiaoyuan Hong, Jiaqiu Shen. 581-590 [doi]
- Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM FrameworkJunxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao 0002. 591-600 [doi]
- AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social NetworksQi Wang, Weiliang Zhao, Jian Yang 0001, Jia Wu 0001, Chuan Zhou 0001, Qianli Xing. 601-610 [doi]
- Integrating Group Homophily and Individual Personality of Topics Can Better Model Network CommunitiesYingkui Wang, Di Jin, Carl Yang, Jianwu Dang. 611-620 [doi]
- Provably Robust Node Classification via Low-Pass Message PassingYiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang 0010, Christos Faloutsos, Bryan Hooi. 621-630 [doi]
- Open-World Class Discovery with Kernel NetworksZifeng Wang 0002, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, Jennifer G. Dy. 631-640 [doi]
- Learn-Prune-Share for Lifelong LearningZifeng Wang 0002, Tong Jian, Kaushik R. Chowdhury, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis. 641-650 [doi]
- Deep Incomplete Multi-View Multiple ClusteringsShaowei Wei, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang 0001. 651-660 [doi]
- Fast Adaptation for Cold-start Collaborative Filtering with Meta-learningTianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He 0001, Yizhou Sun, Wei Wang 0010. 661-670 [doi]
- PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor AnalysisDi Wu, Long Jin, Xin Luo 0001. 671-680 [doi]
- OpenWGL: Open-World Graph LearningMan Wu, Shirui Pan, Xingquan Zhu. 681-690 [doi]
- Semi-Supervised Partial Multi-Label LearningMing-Kun Xie, Sheng-Jun Huang. 691-700 [doi]
- Global Context Enhanced Social Recommendation with Hierarchical Graph Neural NetworksHuance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin. 701-710 [doi]
- Order-Preserving Metric Learning for Mining Multivariate Time SeriesJie Xu, Zhenxing Xu, Bin Yu, Fei Wang. 711-720 [doi]
- Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial NetworksCarl Yang, Jieyu Zhang, Jiawei Han 0001. 721-730 [doi]
- FeatureNorm: L2 Feature Normalization for Dynamic Graph EmbeddingMenglin Yang, Ziqiao Meng, Irwin King. 731-740 [doi]
- Stochastic Hard Thresholding Algorithms for AUC MaximizationZhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying. 741-750 [doi]
- Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-offMinji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos. 751-760 [doi]
- Partial Multi-label Learning using Label CompressionTingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang 0001. 761-770 [doi]
- Meta-AAD: Active Anomaly Detection with Deep Reinforcement LearningDaochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu. 771-780 [doi]
- DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data AnalysisChuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li. 781-790 [doi]
- Adversarial Label-Flipping Attack and Defense for Graph Neural NetworksMengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang. 791-800 [doi]
- TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision AnalysisXin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo 0007. 801-810 [doi]
- MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense ConnectionsZhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Lin Wu, Meng Wang 0001. 811-820 [doi]
- A Primal-Dual Subgradient Approach for Fair Meta LearningChen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan. 821-830 [doi]
- A Hidden Challenge of Link Prediction: Which Pairs to Check?Caleb Belth, Alican Büyükçakir, Danai Koutra. 831-840 [doi]
- Multivariate Time-series Anomaly Detection via Graph Attention NetworkHang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang. 841-850 [doi]
- Rethinking Dice Loss for Medical Image SegmentationRongjian Zhao, Buyue Qian, Xianli Zhang, Yang Li, Rong Wei, Yang Liu, Yinggang Pan. 851-860 [doi]
- Interactive Attention Networks for Semantic Text MatchingSendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang. 861-870 [doi]
- Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single AgentXiaosa Zhao, Kunpeng Liu 0001, Wei Fan 0002, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu. 871-880 [doi]
- Online AUC Optimization for Sparse High-Dimensional DatasetsBaojian Zhou, Yiming Ying, Steven Skiena. 881-890 [doi]
- Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation DetectionYong-Nan Zhu, Xiaotian Luo, Yu-Feng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu. 891-899 [doi]
- Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTWSara Alaee, Kaveh Kamgar, Eamonn J. Keogh. 900-905 [doi]
- Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time SeriesRui An, Xingtian Shi, Baohan Xu. 906-911 [doi]
- Cold Item Recommendations via Hierarchical Item2vecOren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein. 912-917 [doi]
- Dual-Side Auto-Encoder for High-Dimensional Time Series SegmentationYue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Yun Fu 0001. 918-923 [doi]
- Hide and Mine in Strings: Hardness and AlgorithmsGiulia Bernardini 0001, Alessio Conte, Garance Gourdel, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giulia Punzi, Leen Stougie, Michelle Sweering. 924-929 [doi]
- Rethinking Local Community Detection: Query Nodes ReplacementYuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang. 930-935 [doi]
- Dissimilarity Random Forest ClusteringManuele Bicego. 936-941 [doi]
- Optimal Probabilistic Classification in Active Class SelectionMirko Bunse, Dorina Weichert, Alexander Kister, Katharina Morik. 942-947 [doi]
- Fast and Accurate Time Series Classification Through Supervised Interval SearchNestor Cabello, Elham Naghizade, Jianzhong Qi 0001, Lars Kulik. 948-953 [doi]
- TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow ForecastingXu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie. 954-959 [doi]
- LFGCN: Levitating over Graphs with Levy FlightsYuzhou Chen, Yulia R. Gel, Konstantin Avrachenkov. 960-965 [doi]
- Anomaly Detection on Dynamic Bipartite Graph with BurstinessZhe Chen, Aixin Sun. 966-971 [doi]
- Inductive Granger Causal Modeling for Multivariate Time SeriesYunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang. 972-977 [doi]
- The Relaxed Maximum Entropy Distribution and its Application to Pattern DiscoverySebastian Dalleiger, Jilles Vreeken. 978-983 [doi]
- Mining Recurring Patterns in Real-Valued Time Series using the Radius ProfileDieter De Paepe, Sofie Van Hoecke. 984-989 [doi]
- Null-Labelling: A Generic Approach for Learning in the Presence of Class NoiseBenjamin Denham, Russel Pears, M. Asif Naeem. 990-995 [doi]
- Your Best Guess When You Know Nothing: Identification and Mitigation of Selection BiasKatharina Dost, Katerina Taskova, Patricia Riddle, Jörg Wicker. 996-1001 [doi]
- AANE: Anomaly Aware Network Embedding For Anomalous Link DetectionDongsheng Duan, Lingling Tong, Yangxi Li, Jie Lu, Lei Shi, Cheng Zhang. 1002-1007 [doi]
- AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement LearningWei Fan, Kunpeng Liu 0001, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu. 1008-1013 [doi]
- Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing PruningXinyu Fan, Hui Xu, Jiahong Wu, Chao Tong, Kai Wang, Jianfei Song, Ze Huang. 1014-1021 [doi]
- An Interpretable Data Embedding under Uncertain Distance InformationNikolaos M. Freris, Michalis Vlachos, Ahmad Ajalloeian. 1022-1027 [doi]
- Detecting Hierarchical Changes in Latent Variable ModelsShintaro Fukushima, Kenji Yamanishi. 1028-1033 [doi]
- A Heterogeneous Spatiotemporal Network for Lightning PredictionYangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Wen Yao, Dong Zheng, Weitao Lyu, Heng Huang. 1034-1039 [doi]
- Data-Agnostic Local Neighborhood GenerationRiccardo Guidotti, Anna Monreale. 1040-1045 [doi]
- Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz RegularizationPrashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang. 1046-1051 [doi]
- STGCN: A Spatial-Temporal Aware Graph Learning Method for POI RecommendationHaoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang 0004, Jianhui Ma, Qi Liu. 1052-1057 [doi]
- Active Learning with Multi-Granular Graph Auto-EncoderYi He 0007, Xu Yuan, Nian-Feng Tzeng, Xindong Wu 0001. 1058-1063 [doi]
- Soft policy optimization using dual-track advantage estimatorYubo Huang, Xuechun Wang, Luobao Zou, Zhiwei Zhuang, Weidong Zhang. 1064-1069 [doi]
- Semi-Supervised Abductive Learning and Its Application to Theft Judicial SentencingYu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yu-Feng Li, Zhi-Hua Zhou. 1070-1075 [doi]
- Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy FieldsJiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang. 1076-1081 [doi]
- MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme ImbalanceAnubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy. 1082-1087 [doi]
- Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical ModelHaoran Li, Yang Weng, Hanghang Tong. 1088-1093 [doi]
- Ensemble Learning for Spectral ClusteringHongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai. 1094-1099 [doi]
- Exploiting Inconsistency Problem in Multi-label Classification via Metric LearningPeiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, Junming Shao. 1100-1105 [doi]
- Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone DataWeijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo. 1106-1111 [doi]
- A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse DataWeiling Li, Xin Luo. 1112-1117 [doi]
- COPOD: Copula-Based Outlier DetectionZheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu. 1118-1123 [doi]
- Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery ClassificationZhenqi Li, Jing Wang, Ziyu Jia, Youfang Lin. 1124-1129 [doi]
- A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation SystemFandel Lin, Hsun-Ping Hsieh. 1130-1135 [doi]
- Exploratory Adversarial Attacks on Graph Neural NetworksXixun Lin, Chuan Zhou 0001, Hong Yang, Jia Wu 0001, Haibo Wang, Yanan Cao, Bin Wang 0004. 1136-1141 [doi]
- Technical Phrase Extraction for Patent Mining: A Multi-level ApproachYe Liu, Han Wu, Zhenya Huang, Hao Wang 0076, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui. 1142-1147 [doi]
- AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value ForecastingYi-Ju Lu, Cheng-Te Li. 1148-1153 [doi]
- Deep Semantic Network RepresentationXuexiong Luo, Jia Wu 0001, Chuan Zhou 0001, Xiankun Zhang, Yuan Wang. 1154-1159 [doi]
- Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow PredictionJiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie. 1160-1165 [doi]
- A mixed integer linear programming approach for soft graph clusteringVicky H. Mak-Hau, John Yearwood. 1166-1171 [doi]
- Bandits Under the InfluenceSilviu Maniu, Stratis Ioannidis, Bogdan Cautis. 1172-1177 [doi]
- Fairness Perception from a Network-Centric PerspectiveFarzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian. 1178-1183 [doi]
- Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model FeaturesYash Mehta, Samin Fatehi, Amirmohammad Kazameini, Clemens Stachl, Erik Cambria, Sauleh Eetemadi. 1184-1189 [doi]
- MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series ArchivesTakaaki Nakamura, Makoto Imamura, Ryan Mercer, Eamonn J. Keogh. 1190-1195 [doi]
- Self-Attentive Classification-Based Anomaly Detection in Unstructured LogsSasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao. 1196-1201 [doi]
- Finding Teams of Maximum Mutual RespectSofia Maria Nikolakaki, Evaggelia Pitoura, Evimaria Terzi, Panayiotis Tsaparas. 1202-1207 [doi]
- J-Recs: Principled and Scalable Recommendation JustificationNamyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong. 1208-1213 [doi]
- Pruning Deep Neural Networks with $\ell_{0}$-constrained OptimizationDzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam. 1214-1219 [doi]
- AutoClust: A Framework for Automated Clustering based on Cluster Validity IndicesYannis Poulakis, Christos Doulkeridis, Dimosthenis Kyriazis. 1220-1225 [doi]
- Random Histogram Forest for Unsupervised Anomaly DetectionAndrian Putina, Mauro Sozio, Dario Rossi, José M. Navarro. 1226-1231 [doi]
- The Necessity of Geometrical Representation for Deep Graph AnalysisMostafa Rahmani, Ping Li 0001. 1232-1237 [doi]
- Unsupervised Anomaly Detection on Multisensory Data from Honey Bee ColoniesDiren Senger, Carolin Johannsen, Alexandros Melemenidis, Alexander Goncharskiy, Thorsten Kluss. 1238-1243 [doi]
- NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute NetworksHongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang. 1244-1249 [doi]
- ErGAN: Generative Adversarial Networks for Entity ResolutionJingyu Shao, Qing Wang 0002, Asiri Wijesinghe, Erhard Rahm. 1250-1255 [doi]
- Learning from Multi-Class Positive and Unlabeled DataSenlin Shu, Zhuoyi Lin, Yan Yan, Li Li 0006. 1256-1261 [doi]
- TopicOcean: An Ever-Increasing Topic Model With Meta-learningYuanfeng Song, Yongxin Tong, Siqi Bao, Di Jiang, Hua Wu, Raymond Chi-Wing Wong. 1262-1267 [doi]
- EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking DataIvan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev. 1268-1273 [doi]
- Robust Collaborative Learning with Noisy LabelsMengying Sun, Jing Xing, Bin Chen, Jiayu Zhou. 1274-1279 [doi]
- A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge GraphsSusheel Suresh, Jennifer Neville. 1280-1285 [doi]
- Effects of Model Misspecification on Bayesian Bandits Case Studies in UX OptimizationMack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi. 1286-1291 [doi]
- Learning Personal Conscientiousness from Footprints in E-Learning SystemsLo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim. 1292-1297 [doi]
- Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education SystemsWei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen. 1298-1303 [doi]
- Fast Distance Metrics in Low-dimensional Space for Neighbor Search ProblemsGuihong Wan, Crystal Maung, Chenxu Zhang, Haim Schweitzer. 1304-1309 [doi]
- Learning Node Representations from Noisy Graph StructuresJunshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi. 1310-1315 [doi]
- Learning from Incomplete Labeled Data via Adversarial Data GenerationWentao Wang, Tyler Derr, Yao Ma 0001, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang. 1316-1321 [doi]
- CorDEL: A Contrastive Deep Learning Approach for Entity LinkageZhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji. 1322-1327 [doi]
- Graph Sparsification with Generative Adversarial NetworkHang-Yang Wu, Yi-ling Chen. 1328-1333 [doi]
- Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar RecognitionYiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang 0001, Qing He 0003. 1334-1339 [doi]
- TADO: Time-varying Attention with Dual-Optimizer ModelYuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong. 1340-1345 [doi]
- LPV: A Log Parser Based on Vectorization for Offline and Online Log ParsingTong Xiao, Zhe Quan, Zhi-jie Wang, Kaiqi Zhao 0001, Xiangke Liao. 1346-1351 [doi]
- Robust Product Rating Rules Against Herding Effects: Theory and ApplicationsHong Xie, Mingze Zhong. 1352-1357 [doi]
- Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal TransportLiang Yang 0002, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo. 1358-1363 [doi]
- Confidence Calibration on Multiclass Classification in Medical ImagingWenjing Yang, Zhantao Cao, Qin Chen, Yuhong Yang, Guowu Yang. 1364-1369 [doi]
- Multi-typed Objects Multi-view Multi-instance Multi-label LearningYuanlin Yang, Guoxian Yu, Jun Wang 0035, Carlotta Domeniconi, Xiangliang Zhang 0001. 1370-1375 [doi]
- Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to AlgorithmRong Yin 0001, Yong Liu, Weiping Wang, Dan Meng. 1376-1381 [doi]
- Community Attention Network for Semi-supervised Node ClassificationZhongjing Yu, Han Wang, Yang Liu, Christian Böhm, Junming Shao. 1382-1387 [doi]
- 2-Net: A Semi-supervised Deep Model for Turbulence ForecastingDenghui Zhang, Yanchi Liu, Wei Cheng 0002, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong 0001. 1388-1393 [doi]
- Learning Periods from Incomplete Multivariate Time SeriesLin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov. 1394-1399 [doi]
- Community Preserved Social Graph Publishing with Node Differential PrivacySen Zhang 0002, Weiwei Ni, Nan Fu. 1400-1405 [doi]
- Robust Multi-Target Regression for Correlated Data CorruptionXuchao Zhang, Yingwen Shao. 1406-1411 [doi]
- Generalizing Universal Adversarial Attacks Beyond Additive PerturbationsYanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang 0001. 1412-1417 [doi]
- cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics PredictionYingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo 0007. 1418-1423 [doi]
- HexCNN: A Framework for Native Hexagonal Convolutional Neural NetworksYunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi 0001, Rui Zhang 0003. 1424-1429 [doi]
- Opinion Dynamics Incorporating Higher-Order InteractionsZuobai Zhang, Wanyue Xu, Zhongzhi Zhang, Guanrong Chen. 1430-1435 [doi]
- FilCorr: Filtered and Lagged Correlation on Streaming Time SeriesSheng Zhong, Vinicius M. A. Souza, Abdullah Mueen. 1436-1441 [doi]
- FreqST: Exploiting Frequency Information in Spatiotemporal Modeling for Traffic PredictionXian Zhou, Yanyan Shen, Linpeng Huang. 1442-1447 [doi]
- Robust Meta Network Embedding against Adversarial AttacksYang Zhou 0001, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee. 1448-1453 [doi]