| 2026 | WWW | SLFM: Semi-Supervised Local Community Detection Based on Hyperbolic Flow Matching. | Haixu Xiong, Li Sun, Yun Xiong, Suyang Zhou, Hongrun Ren, Yangyong Zhu |
| 2025 | KDD | Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting. | Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen |
| 2023 | CIKM | RDGSL: Dynamic Graph Representation Learning with Structure Learning. | Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu |
| 2023 | DASFAA | Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning. | Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang |
| 2023 | DASFAA | Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. | Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu |
| 2023 | WWW | ConsRec: Learning Consensus Behind Interactions for Group Recommendation. | Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu |
| 2023 | WWW | TIGER: Temporal Interaction Graph Embedding with Restarts. | Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu |
| 2023 | WSDM | Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. | Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu |
| 2022 | CIKM | RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. | Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu |
| 2022 | COLING | Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification. | Hao Niu, Yun Xiong, Jian Gao, Zhongchen Miao, Xiaosu Wang, Hongrun Ren, Yao Zhang, Yangyong Zhu |
| 2022 | DASFAA | Concurrent Transformer for Spatial-Temporal Graph Modeling. | Yi Xie, Yun Xiong, Yangyong Zhu, Philip S. Yu, Cheng Jin, Qiang Wang, Haihong Li |
| 2022 | KDD | CLARE: A Semi-supervised Community Detection Algorithm. | Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu |
| 2022 | WSDM | Triangle Graph Interest Network for Click-through Rate Prediction. | Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu |
| 2021 | AMIA | Addressing Disparities in Diabetes Using Temporal Fairness Models. | Joseph M. Plasek, Chunlei Tang, Xiaoxia Wang, Yun Xiong, Yangyong Zhu, Yanming He, Patricia C. Dykes, David W. Bates, Li Zhou |
| 2021 | CIKM | Improving Chinese Character Representation with Formation Graph Attention Network. | Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu |
| 2021 | CIKM | CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. | Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu |
| 2021 | ICDM | BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining. | Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu |
| 2021 | WWW | Highly Liquid Temporal Interaction Graph Embeddings. | Huidi Chen, Yun Xiong, Yangyong Zhu, Philip S. Yu |
| 2021 | WSDM | AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. | Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu |
| 2020 | APWEB | IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking. | Tianyi Tao, Yun Xiong, Guosen Wang, Yao Zhang, Peng Tian, Yangyong Zhu |
| 2020 | APWEB | KASR: Knowledge-Aware Sequential Recommendation. | Qingqin Wang, Yun Xiong, Yangyong Zhu, Philip S. Yu |
| 2020 | APWEB | Multi-task Attributed Graphical Lasso. | Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu |
| 2020 | CIKM | CommDGI: Community Detection Oriented Deep Graph Infomax. | Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu |
| 2020 | DASFAA | SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs. | Huidi Chen, Yun Xiong, Changdong Wang, Yangyong Zhu, Wei Wang |
| 2020 | DASFAA | MinSR: Multi-level Interests Network for Session-Based Recommendation. | Tao Lei, Yun Xiong, Peng Tian, Yangyong Zhu |
| 2020 | DASFAA | SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction. | Yi Xie, Yun Xiong, Yangyong Zhu |
| 2020 | DASFAA | Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation. | Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu |
| 2020 | ICDM | Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. | Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu |
| 2020 | KDD | SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. | Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu |
| 2019 | CIKM | Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. | Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu |
| 2019 | CIKM | EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation. | Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu |
| 2019 | DASFAA | Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation. | Xiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, Yangyong Zhu |
| 2019 | DASFAA | DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks. | Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu |
| 2019 | DASFAA | Net2Text: An Edge Labelling Language Model for Personalized Review Generation. | Shaofeng Xu, Yun Xiong, Xiangnan Kong, Yangyong Zhu |
| 2018 | DASFAA | Tracking Dynamic Magnet Communities: Insights from a Network Perspective. | Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu |
| 2018 | DASFAA | Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions. | Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu, Shimin Zhao, Shanshan Li |
| 2018 | WWW | Deep Collective Classification in Heterogeneous Information Networks. | Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu |
| 2017 | CIKM | Learning Node Embeddings in Interaction Graphs. | Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu |
| 2017 | SDM | Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. | Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu |
| 2017 | SSDBM | How the Passengers Flow in Complex Metro Networks? | Guandong Sun, Yun Xiong, Yangyong Zhu |
| 2016 | KDD | NetCycle: Collective Evolution Inference in Heterogeneous Information Networks. | Yizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu |
| 2015 | SIGIR | Multi-source Information Fusion for Personalized Restaurant Recommendation. | Jing Sun, Yun Xiong, Yangyong Zhu, Junming Liu, Chu Guan, Hui Xiong |
| 2013 | AAAI | Towards Cohesive Anomaly Mining. | Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei |
| 2013 | KSEM | Co-anomaly Event Detection in Multiple Temperature Series. | Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen |
| 2013 | PAKDD | Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion. | Li Xue, Yun Xiong, Yangyong Zhu, Jianfeng Wu, Zhiyuan Chen |
| 2012 | DATA | FIND - A Data Cloud Platform for Financial Data Services. | Zhicheng Liao, Yun Xiong, Yangyong Zhu |
| 2012 | SDM | Clustering Based on Yukawa Potential. | Xue Bai, Zezhen Lin, Yun Xiong, Yangyong Zhu |
| 2009 | ICDM | Mining Peculiarity Groups in Day-by-Day Behavioral Datasets. | Yun Xiong, Yangyong Zhu |
| 2009 | ICDM | A Cost-Effective LSH Filter for Fast Pairwise Mining. | Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu |
| 2008 | ICNC | Efficient Maintaining of Skyline over Probabilistic Data Stream. | Jin-Jiu Li, Sheng-Li Sun, Yangyong Zhu |
| 2007 | PAKDD | Incremental Mining of Sequential Patterns Using Prefix Tree. | Yue Chen, Jiankui Guo, Yaqin Wang, Yun Xiong, Yangyong Zhu |
| 2006 | APWEB | Grid-Enabled Metropolis Shared Research Platform. | Yue Chen, Yaqin Wang, Yangyong Zhu |
| 2005 | PAKDD | A Top-Down Algorithm for Mining Web Access Patterns from Web Logs. | Jiankui Guo, Beijun Ruan, Zunping Cheng, Fang-zhong Su, Yaqin Wang, Xu-bin Deng, Ning Shang, Yangyong Zhu |
| 2003 | APWEB | A New Algorithm for Performing Ratings-Based Collaborative Filtering. | Fengzhao Yang, Yangyong Zhu, Bole Shi |