| 2026 | WWW | Rethinking Soft Compression in Retrieval-Augmented Generation: A Query-Conditioned Selector Perspective. | Yunhao Liu, Zian Jia, Xinyu Gao, Kanjun Xu, Yun Xiong |
| 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 |
| 2026 | SIGIR | C | Yunfan Gao, Xinyi Huang, Yijie Zhong, Zhidong Fan, Zhengke Gui, Lei Liang, Yun Xiong, Haofen Wang |
| 2025 | AAAI | Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data. | Yunfan Gao, Yun Xiong, Zhongyuan Hu, Yiming Zhang, Meng Wang, Haofen Wang |
| 2025 | AAAI | Enhancing Masked Time-Series Modeling via Dropping Patches. | Tianyu Qiu, Yi Xie, Hao Niu, Yun Xiong, Xiaofeng Gao |
| 2025 | CIKM | SSH-T | Zehao Gu, Yateng Tang, Jiarong Xu, Siwei Zhang, Xuehao Zheng, Xi Chen, Yun Xiong |
| 2025 | CIKM | Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation. | Liang Su, Mingyang Zhang, Kangxiang Jia, Tengfei Liu, Weiqiang Wang, Yun Xiong, Xixi Wu, Xinyu Gao, Yongrui Fu, Jiawei Zhang |
| 2025 | ICML | Rethinking Time Encoding via Learnable Transformation Functions. | Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong |
| 2025 | IJCAI | AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing. | Biao Yang, Muqi Huang, Yuhui Zhang, Yun Xiong, Kun Zhou, Xi Chen, Shiyang Zhou, Huishuai Bao, Chuan Li, Feng Shi, Hualei Liu |
| 2025 | KDD | FoRAGe: High-CTR Food Image Synthesis with Retrieval-Augmented Diffusion Model. | Jiaxu Feng, Xinyu Gao, Muqi Huang, Kanjun Xu, Yun Xiong, Kun Zhou, Chuan Li, Feng Shi |
| 2025 | KDD | Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting. | Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen |
| 2024 | APSEC | Enhancing Code Generation Through Retrieval of Cross-Lingual Semantic Graphs. | Zhijie Jiang, Zejian Shi, Xinyu Gao, Yun Xiong |
| 2024 | CIKM | DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. | Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang |
| 2024 | CIKM | Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation. | Zhuoxi Bai, Ning Wu, Fengyu Cai, Xinyi Zhu, Yun Xiong |
| 2024 | CIKM | MSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting. | Zehao Gu, Shiyang Zhou, Yun Xiong, Yang Luo, Hongrun Ren, Qiang Wang, Xiaofeng Gao, Philip S. Yu |
| 2024 | CIKM | Robust Sequence-Based Self-Supervised Representation Learning for Anti-Money Laundering. | Shuaibin Huang, Yun Xiong, Yi Xie, Tianyu Qiu, Guangzhong Wang |
| 2024 | CIKM | DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. | Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang, Guangyong Zheng |
| 2024 | CIKM | GetCom: An Efficient and Generalizable Framework for Community Detection. | Kaiyu Xiong, Yucheng Jin, Yun Xiong, Jiawei Zhang |
| 2024 | CIKM | ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory. | Biao Yang, Yun Xiong, Xi Chen, Xuejing Feng, Meng Wang, Jun Ma |
| 2024 | CIKM | REDI: Recurrent Diffusion Model for Probabilistic Time Series Forecasting. | Shiyang Zhou, Zehao Gu, Yun Xiong, Yang Luo, Qiang Wang, Xiaofeng Gao |
| 2024 | COCOON | Enhancing Crowding Event Detection on Campus with Multidimensional Logs: A Meta-Heuristic Search Approach. | Maoyi Wang, Jiajie Shen, Jack Mao, Jihan Dai, Bochun Wu, Yun Xiong, Xin Wang |
| 2024 | COLING | Linking Adaptive Structure Induction and Neuron Filtering: A Spectral Perspective for Aspect-based Sentiment Analysis. | Hao Niu, Maoyi Wang, Yun Xiong, Biao Yang, Xing Jia, Zhonglei Guo |
| 2024 | DASFAA | Improving Alignment and Uniformity of Expert Representation with Contrastive Learning for Mixture-of-Experts Model. | Zhuoxi Bai, Kuo Su, Xinyi Zhu, Yun Xiong |
| 2024 | DASFAA | Beyond the Known: Novel Class Discovery for Open-World Graph Learning. | Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu |
| 2024 | GLOBECOM | An Approach for APT Attack Scenario Construction Based on Dynamic Attack Graphs. | Mingsi Jiang, Mi Wen, Yun Xiong, Weiwei Li |
| 2024 | KDD | Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. | Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang |
| 2024 | KDD | Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological Assistance. | Yi Xie, Tianyu Qiu, Yun Xiong, Xiuqi Huang, Xiaofeng Gao, Chao Chen, Qiang Wang, Haihong Li |
| 2024 | KDD | ProCom: A Few-shot Targeted Community Detection Algorithm. | Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang |
| 2023 | CIKM | Dual Intents Graph Modeling for User-centric Group Discovery. | Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang |
| 2023 | CIKM | iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. | Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang |
| 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 | MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge Graphs. | Mingxia Wang, Peng Tian, Yun Xiong, Jingwen Yue, Yao 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 | DSAA | DynamiSE: Dynamic Signed Network Embedding for Link Prediction. | Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang |
| 2023 | ECAI | Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation. | Xing Jia, Yun Xiong, Yao Zhang, Li Luo |
| 2023 | EMNLP | Adaptive Structure Induction for Aspect-based Sentiment Analysis with Spectral Perspective. | Hao Niu, Yun Xiong, Xiaosu Wang, Wenjing Yu, Yao Zhang, Zhonglei Guo |
| 2023 | EMNLP | KeFVP: Knowledge-enhanced Financial Volatility Prediction. | Hao Niu, Yun Xiong, Xiaosu Wang, Wenjing Yu, Yao Zhang, Weizu Yang |
| 2023 | ICDM | Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction. | Yang Luo, Zehao Gu, Shiyang Zhou, Yun Xiong, Xiaofeng Gao |
| 2023 | INFOCOM | CLIP: Accelerating Features Deployment for Programmable Switch. | Tingting Xu, Xiaoliang Wang, Chen Tian, Yun Xiong, Yun Lin, Baoliu Ye |
| 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 | ICSE | Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding. | Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao |
| 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 | Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. | Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu |
| 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 | AMIA | RegionAl: an Optimized Regional Classifier to Predict Mortality in Chronic Obstructive Pulmonary Disease Patients. | Haohan Zhang, Chunlei Tang, Joseph M. Plasek, Yun Xiong, Jing Ma, Li Zhou, David W. Bates |
| 2018 | APSEC | Automatic Generation of Pseudocode with Attention Seq2seq Model. | Shaofeng Xu, Yun Xiong |
| 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 | EASE | Easier Said Than Done: Diagnosing Misconfiguration via Configuration Constraints Analysis: A Study of the Variance of Configuration Constraints in Source Code. | Shulin Zhou, Shanshan Li, Xiaodong Liu, Xiangyang Xu, Si Zheng, Xiangke Liao, Yun Xiong |
| 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 |
| 2016 | QRS | ConfMapper: Automated Variable Finding for Configuration Items in Source Code. | Shulin Zhou, Xiaodong Liu, Shanshan Li, Wei Dong, Xiangke Liao, Yun Xiong |
| 2015 | SIGIR | Multi-source Information Fusion for Personalized Restaurant Recommendation. | Jing Sun, Yun Xiong, Yangyong Zhu, Junming Liu, Chu Guan, Hui Xiong |
| 2014 | PAKDD | An Efficient Drug-Target Interaction Mining Algorithm in Heterogeneous Biological Networks. | Congcong Li, Jing Sun, Yun Xiong, Guangyong Zheng |
| 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 |
| 2007 | PAKDD | Incremental Mining of Sequential Patterns Using Prefix Tree. | Yue Chen, Jiankui Guo, Yaqin Wang, Yun Xiong, Yangyong Zhu |