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| 2022 | Boosting Object Detection Ensembles with Error Diversity. Ka Ho Chow, Ling Liu |
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| 2022 | Deep Spatial Domain Generalization. Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao |
| 2022 | Deep Stable Representation Learning on Electronic Health Records. Yingtao Luo, Zhaocheng Liu, Qiang Liu |
| 2022 | DeepGAR: Deep Graph Learning for Analogical Reasoning. Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao |
| 2022 | DeepiForest: A Deep Anomaly Detection Framework with Hashing Based Isolation Forest. Haolong Xiang, Hongsheng Hu, Xuyun Zhang |
| 2022 | Dengue Fever: From Extreme Climates to Outbreak Prediction. Son T. Mai, Ha T. Phi, Abdullahi Abubakar, Peter Kilpatrick, Hung Q. V. Nguyen, Hans Vandierendonck |
| 2022 | Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching. Zhenning Yu, Xin Liu, Yiu-ming Cheung, Minghang Zhu, Xing Xu, Nannan Wang, Taihao Li |
| 2022 | Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy J. O'Shea, Naren Ramakrishnan |
| 2022 | Diameter Minimization by Shortcutting with Degree Constraints. Florian Adriaens, Aristides Gionis |
| 2022 | Dimensionality Selection of Hyperbolic Graph Embeddings using Decomposed Normalized Maximum Likelihood Code-Length. Ryo Yuki, Yuichi Ike, Kenji Yamanishi |
| 2022 | Dirichlet process mixture models for non-stationary data streams. Ioar Casado, Aritz Pérez |
| 2022 | Efficient Navigation for Constrained Shortest Path with Adaptive Expansion Control. Wenwen Xia, Yuchen Li, Wentian Guo, Shenghong Li |
| 2022 | Efficient Semi-Supervised Adversarial Training without Guessing Labels. Huimin Wu, William de Vazelhes, Bin Gu |
| 2022 | Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang |
| 2022 | Enhancing Robust Text Classification via Category Description. Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao |
| 2022 | Estimating the Pruned Search Space Size of Subgroup Discovery. Lennart Purucker, Felix I. Stamm, Florian Lemmerich, Joeran Beel |
| 2022 | Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction. Yan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun |
| 2022 | Extremely Fast Hoeffding Adaptive Tree. Chaitanya Manapragada, Mahsa Salehi, Geoffrey I. Webb |
| 2022 | Fairness-Aware Graph Sampling for Network Analysis. Farzan Masrour, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian |
| 2022 | Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. Xidong Wu, Feihu Huang, Heng Huang |
| 2022 | Feature-Oriented Sampling for Fast and Scalable GNN Training. Xin Zhang, Yanyan Shen, Lei Chen |
| 2022 | FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian |
| 2022 | Federated Fingerprint Learning with Heterogeneous Architectures. Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou |
| 2022 | Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu |
| 2022 | Few-shot Partial Multi-label Learning with Data Augmentation. Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi |
| 2022 | FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. Bo Wang, Zhao Zhang, Jicong Fan, Mingbo Zhao, Choujun Zhan, Mingliang Xu |
| 2022 | GRANDE: a neural model over directed multigraphs with application to anti-money laundering. Ruofan Wu, Boqun Ma, Hong Jin, Wenlong Zhao, Weiqiang Wang, Tianyi Zhang |
| 2022 | Generalized Few-Shot Node Classification. Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong |
| 2022 | GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven Wilson, Chuxu Zhang |
| 2022 | GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen |
| 2022 | GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation. Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv |
| 2022 | HP-GMN: Graph Memory Networks for Heterophilous Graphs. Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang |
| 2022 | Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li |
| 2022 | Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao |
| 2022 | HiGIL: Hierarchical Graph Inference Learning for Fact Checking. Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang |
| 2022 | Higher-Order Masked Graph Neural Networks for Traffic Flow Prediction. Kaixin Yuan, Jing Liu, Jian Lou |
| 2022 | Homology-Separating Triangulated Euler Characteristic Curve. Nicholas O. Malott, Robert R. Lewis, Philip A. Wilsey |
| 2022 | How Out-of-Distribution Data Hurts Semi-Supervised Learning. Xujiang Zhao, Krishnateja Killamsetty, Rishabh K. Iyer, Feng Chen |
| 2022 | HyperKGQA: Question Answering over Knowledge Graphs using Hyperbolic Representation Learning. Nadya Abdel Madjid, Ola El Khatib, Shuang Gao, Djellel Eddine Difallah |
| 2022 | Hypernode: Entity Fusion for Data Traceability and Link Prediction. Bingbing Dong, Zan Zhang, Jiao Li, Yi Zhu, Chenyang Bu, Xindong Wu |
| 2022 | IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022 Xingquan Zhu, Sanjay Ranka, My T. Thai, Takashi Washio, Xindong Wu |
| 2022 | IGNiteR: News Recommendation in Microblogging Applications. Yuting Feng, Bogdan Cautis |
| 2022 | Imbalanced Adversarial Training with Reweighting. Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang |
| 2022 | Improving Graph Representation Learning with Distribution Preserving. Chengsheng Mao, Yuan Luo |
| 2022 | Inconsistency Distillation For Consistency: Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student Leaning. Dunqiang Liu, Shu-Juan Peng, Xin Liu, Lei Zhu, Zhen Cui, Taihao Li |
| 2022 | Invariant Factor Graph Neural Networks. Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang |
| 2022 | Jaccard Median for Ego-network Segmentation. Haodi Zhong, Grigorios Loukides, Alessio Conte, Solon P. Pissis |
| 2022 | Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng |
| 2022 | Kernel-based Substructure Exploration for Next POI Recommendation. Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang |
| 2022 | Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification. Guangtao Zheng, Aidong Zhang |
| 2022 | Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li |
| 2022 | Learning from the Multi-Level Abstraction of the Control Flow Graph via Alternating Propagation for Bug Localization. Yi-Fan Ma, Ming Li |
| 2022 | Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians. Xinyi Wu, Arnab Sarker, Ali Jadbabaie |
| 2022 | MRM2: Multi-Relationship Modeling Module for Multivariate Time Series Classification. Pengxiang Shi, Xuan Dang, Wenwen Ye, Zhipeng Li, Zheng Qin |
| 2022 | MSDN: A Multi-Subspace Deviation Net for Anomaly Detection. Sinong Zhao, Zhaoyang Yu, Trent G. Marbach, Gang Wang, Xiaoguang Liu |
| 2022 | Making Reconstruction-based Method Great Again for Video Anomaly Detection. Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu |
| 2022 | Matrix Profile XXV: Introducing Novelets: A Primitive that Allows Online Detection of Emerging Behaviors in Time Series. Ryan Mercer, Eamonn J. Keogh |
| 2022 | Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data. Maryam Shahcheraghi, Ryan Mercer, João Manuel De Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Eamonn J. Keogh |
| 2022 | MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma |
| 2022 | MentalNet: Heterogeneous Graph Representation for Early Depression Detection. Ivan Mihov, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan, Yuhong Liu |
| 2022 | Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2022 | Meta-Transfer Learning: An application to Streamflow modeling in River-streams. Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia |
| 2022 | Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu |
| 2022 | MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li |
| 2022 | Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong |
| 2022 | Multi-Objective Symbolic Regression for Data-Driven Scoring System Management. Davide Ferrari, Veronica Guidetti, Federica Mandreoli |
| 2022 | Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan |
| 2022 | Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee |
| 2022 | Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. Masahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari |
| 2022 | NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision Guarantee. Minh N. Vu, Truc D. T. Nguyen, My T. Thai |
| 2022 | Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature. Taikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, Xiaoyong Li |
| 2022 | Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius |
| 2022 | Non-local Patch Mixup for Unsupervised Domain Adaptation. Jiujun He, Bin Liu, Xuan Yang |
| 2022 | On Finding and Analyzing the Backbone of the k-Core Structure of a Graph. Ricky Laishram, Sucheta Soundarajan |
| 2022 | On Mean-Optimal Robust Linear Discriminant Analysis. Xiangyu Li, Hua Wang |
| 2022 | One Person, One Model - Learning Compound Router for Sequential Recommendation. Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen |
| 2022 | Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal Network. Tingyang Chen, Lugang Nie, Jiwei Pan, Lai Tu, Bolong Zheng, Xiang Bai |
| 2022 | Personalized Federated Learning via Heterogeneous Modular Networks. Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang |
| 2022 | Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection. Benedikt Böing, Simon Klüttermann, Emmanuel Müller |
| 2022 | Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu |
| 2022 | Privacy-Preserved Neural Graph Similarity Learning. Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen |
| 2022 | Privacy-Preserving Split Learning via Patch Shuffling over Transformers. Dixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen |
| 2022 | Projection Dual Averaging Based Second-order Online Learning. Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang |
| 2022 | Pruning Adversarially Robust Neural Networks without Adversarial Examples. Tong Jian, Zifeng Wang, Yanzhi Wang, Jennifer G. Dy, Stratis Ioannidis |
| 2022 | Query-Efficient Target-Agnostic Black-Box Attack. Raha Moraffah, Huan Liu |
| 2022 | Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators. Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin |
| 2022 | Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective. Mengyuan Zhang, Kai Liu |
| 2022 | Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2022 | RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding |
| 2022 | Robust Structure-aware Semi-supervised Learning. Xu Chen |
| 2022 | Robust Time Series Chain Discovery with Incremental Nearest Neighbors. Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin |
| 2022 | Robust Unsupervised Domain Adaptation from A Corrupted Source. Shuyang Yu, Zhuangdi Zhu, Boyang Liu, Anil K. Jain, Jiayu Zhou |
| 2022 | Robustness May be at Odds with Stability in Adversarial Training based Feature Selection? Yue Liu, Yun Li |
| 2022 | STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2022 | STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo |
| 2022 | Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments. Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu |
| 2022 | Self-explaining Hierarchical Model for Intraoperative Time Series. Dingwen Li, Bing Xue, Christopher Ryan King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu |
| 2022 | Serialized Interacting Mixed Membership Stochastic Block Model. Gaël Poux-Médard, Julien Velcin, Sabine Loudcher |
| 2022 | Set2Box: Similarity Preserving Representation Learning for Sets. Geon Lee, Chanyoung Park, Kijung Shin |
| 2022 | Sparsified Subgraph Memory for Continual Graph Representation Learning. Xikun Zhang, Dongjin Song, Dacheng Tao |
| 2022 | Spatiotemporal Contextual Consistency Network for Precipitation Nowcasting. Xinyu Xiao, Qizhao Jin, Gaofeng Meng, Shiming Xiang, Chunhong Pan |
| 2022 | Structural Robust Label Propagation on Homogeneous Graphs. Qiuting He, Jinsong Chen, Hao Xu, Kun He |
| 2022 | Structure-Preserving Graph Representation Learning. Ruiyi Fang, Liangjian Wen, Zhao Kang, Jianzhuang Liu |
| 2022 | TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu |
| 2022 | TENALIGN: Joint Tensor Alignment and Coupled Factorization. Yunshu Wu, Uday Singh Saini, Jia Chen, Evangelos E. Papalexakis |
| 2022 | THINK: Temporal Hypergraph Hyperbolic Network. Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr |
| 2022 | THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks. Yeon-Chang Lee, Jaehyun Lee, Dongwon Lee, Sang-Wook Kim |
| 2022 | Task-level Relations Modelling for Graph Meta-learning. Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li |
| 2022 | Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |
| 2022 | Text-enhanced Multi-Granularity Temporal Graph Learning for Event Prediction. Xiaoxue Han, Yue Ning |
| 2022 | The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu |
| 2022 | The Impact of Batch Learning in Stochastic Linear Bandits. Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein |
| 2022 | Toward Unified Data and Algorithm Fairness via Adversarial Data Augmentation and Adaptive Model Fine-tuning. Yanfu Zhang, Runxue Bao, Jian Pei, Heng Huang |
| 2022 | Toward Unsupervised Outlier Model Selection. Yue Zhao, Sean Zhang, Leman Akoglu |
| 2022 | Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan |
| 2022 | Towards High-Order Complementary Recommendation via Logical Reasoning Network. Longfeng Wu, Yao Zhou, Dawei Zhou |
| 2022 | Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning. Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue |
| 2022 | Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks. Yujun Yan, Milad Hashemi, Kevin Swersky, Yaoqing Yang, Danai Koutra |
| 2022 | Uncertainty Propagation in Node Classification. Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu |
| 2022 | Unfair AI: It Isn't Just Biased Data. Chowdhury Mohammad Rakin Haider, Chris Clifton, Yan Zhou |
| 2022 | Unifying Graph Contrastive Learning with Flexible Contextual Scopes. Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan |
| 2022 | Unsupervised Deep Subgraph Anomaly Detection. Zheng Zhang, Liang Zhao |
| 2022 | VERIPS: Verified Pseudo-label Selection for Deep Active Learning. Sandra Gilhuber, Philipp Jahn, Yunpu Ma, Thomas Seidl |
| 2022 | Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu |
| 2022 | Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems. Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen |
| 2022 | △-Closure Structure for Studying Data Distribution. Aleksey Buzmakov, Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli |