| 2026 | AAAI | ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts. | Haowen Jiang, Xinyu Huang, You Lu, Dingji Wang, Yuheng Cao, Chaofeng Sha, Bihuan Chen, Keyu Chen, Xin Peng |
| 2026 | WWW | TraceLLM: Evaluating and Exploring Large Language Models on Trace Analysis in Microservice-based Web Applications. | Tong Zhou, Xin Peng, Jie Zhang, Chaofeng Sha, Chenxi Zhang, Zicheng Yuan, Senyu Xie |
| 2024 | ICSE | Evaluating Large Language Models in Class-Level Code Generation. | Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou |
| 2024 | ICSE | On Calibration of Pre-trained Code Models. | Zhenhao Zhou, Chaofeng Sha, Xin Peng |
| 2023 | ICASSP | Dual-graph co-representation learning for knowledge-Graph Enhanced Recommendation. | Xinbiao Liu, Bin Liang, Junyu Niu, Chaofeng Sha, Dong Wu |
| 2023 | ISSTA | In Defense of Simple Techniques for Neural Network Test Case Selection. | Shenglin Bao, Chaofeng Sha, Bihuan Chen, Xin Peng, Wenyun Zhao |
| 2022 | COLING | Different Data, Different Modalities! Reinforced Data Splitting for Effective Multimodal Information Extraction from Social Media Posts. | Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song, Chaofeng Sha, Yanghua Xiao |
| 2022 | DASFAA | A Three-Stage Curriculum Learning Framework with Hierarchical Label Smoothing for Fine-Grained Entity Typing. | Bo Xu, Zhengqi Zhang, Chaofeng Sha, Ming Du, Hui Song, Hongya Wang |
| 2022 | DASFAA | Fully Utilizing Neighbors for Session-Based Recommendation with Graph Neural Networks. | Xingyu Zhang, Chaofeng Sha |
| 2022 | ICSE | DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning. | Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, Dongmei Zhang |
| 2022 | ISSRE | PUTraceAD: Trace Anomaly Detection with Partial Labels based on GNN and PU Learning. | Ke Zhang, Chenxi Zhang, Xin Peng, Chaofeng Sha |
| 2022 | WSDM | MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition. | Bo Xu, Shizhou Huang, Chaofeng Sha, Hongya Wang |
| 2021 | IJCAI | Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models. | Zeyuan Wang, Chaofeng Sha, Su Yang |
| 2021 | PAKDD | Reinforced Natural Language Inference for Distantly Supervised Relation Classification. | Bo Xu, Xiangsan Zhao, Chaofeng Sha, Minjun Zhang, Hui Song |
| 2021 | WISE | Incorporating Network Structure with Node Information for Semi-supervised Anomaly Detection on Attributed Graphs. | Bofeng Chen, Jingdong Li, Xingjian Lu, Chaofeng Sha, Xiaoling Wang, Ji Zhang |
| 2019 | WISE | Memory-Augmented Attention Network for Sequential Recommendation. | Cheng Hu, Peijian He, Chaofeng Sha, Junyu Niu |
| 2019 | WISE | Multi-head Attentive Social Recommendation. | Xu Luo, Chaofeng Sha, Zijing Tan, Junyu Niu |
| 2018 | AAAI | Community Detection in Attributed Graphs: An Embedding Approach. | Ye Li, Chaofeng Sha, Xin Huang, Yanchun Zhang |
| 2017 | APWEB | Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally? | Xiaolu Xing, Chaofeng Sha, Junyu Niu |
| 2016 | DASFAA | Local Weighted Matrix Factorization for Implicit Feedback Datasets. | Keqiang Wang, Xiaoyi Duan, Jiansong Ma, Chaofeng Sha, Xiaoling Wang, Aoying Zhou |
| 2016 | IJCAI | A Framework for Recommending Relevant and Diverse Items. | Chaofeng Sha, Xiaowei Wu, Junyu Niu |
| 2015 | DASFAA | Repairing Functional Dependency Violations in Distributed Data. | Qing Chen, Zijing Tan, Chu He, Chaofeng Sha, Wei Wang |
| 2014 | APWEB | DivRec: A Framework for Top-N Recommendation with Diversification in E-commerce. | Kejun He, Junyu Niu, Chaofeng Sha |
| 2014 | APWEB | Based on Citation Diversity to Explore Influential Papers for Interdisciplinarity. | Keqiang Wang, Chaofeng Sha, Xiaoling Wang, Aoying Zhou |
| 2014 | DASFAA | Repair Diversification for Functional Dependency Violations. | Chu He, Zijing Tan, Qing Chen, Chaofeng Sha, Zhihui Wang, Wei Wang |
| 2014 | DASFAA | Ensemble Pruning: A Submodular Function Maximization Perspective. | Chaofeng Sha, Keqiang Wang, Xiaoling Wang, Aoying Zhou |
| 2014 | DASFAA | Hash ^ed -Join: Approximate String Similarity Join with Hashing. | Peisen Yuan, Chaofeng Sha, Yi Sun |
| 2013 | APWEB | Practical Duplicate Bug Reports Detection in a Large Web-Based Development Community. | Liang Feng, Leyi Song, Chaofeng Sha, Xueqing Gong |
| 2013 | APWEB | Workload-Aware Cache for Social Media Data. | Jinxian Wei, Fan Xia, Chaofeng Sha, Chen Xu, Xiaofeng He, Aoying Zhou |
| 2013 | APWEB | Selecting a Diversified Set of Reviews. | Wenzhe Yu, Rong Zhang, Xiaofeng He, Chaofeng Sha |
| 2013 | DASFAA | A Hybrid Framework for Product Normalization in Online Shopping. | Li Wang, Rong Zhang, Chaofeng Sha, Xiaofeng He, Aoying Zhou |
| 2013 | ICDM | Fast Spectral Clustering with Landmark-Based Subspace Iteration. | Zejun Gan, Chaofeng Sha, Junyu Niu |
| 2012 | APWEB | Estimate Unlabeled-Data-Distribution for Semi-supervised PU Learning. | Haoji Hu, Chaofeng Sha, Xiaoling Wang, Aoying Zhou |
| 2012 | APWEB | Keywords Filtering over Probabilistic XML Data. | Chenjing Zhang, Le Chang, Chaofeng Sha, Xiaoling Wang, Aoying Zhou |
| 2012 | CIKM | Credibility-based product ranking for C2C transactions. | Rong Zhang, Chaofeng Sha, Minqi Zhou, Aoying Zhou |
| 2012 | WWW | Exploiting shopping and reviewing behavior to re-score online evaluations. | Rong Zhang, Chaofeng Sha, Minqi Zhou, Aoying Zhou |
| 2011 | DASFAA | Privacy Preserving Query Processing on Secret Share Based Data Storage. | Xiuxia Tian, Chaofeng Sha, Xiaoling Wang, Aoying Zhou |
| 2011 | ICWS | Privacy Preserving Personalized Access Control Service at Third Service Provider. | Xiuxia Tian, Chaofeng Sha, Xiaoling Wang, Aoying Zhou |
| 2010 | DASFAA | On | Chaofeng Sha, Yi Li, Aoying Zhou |
| 2010 | DASFAA | GRAMS | Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, Aoying Zhou |
| 2009 | DASFAA | Mining Entropy l-Diversity Patterns. | Chaofeng Sha, Jian Gong, Aoying Zhou |
| 2007 | ICDE | Distributed Data Stream Clustering: A Fast EM-based Approach. | Aoying Zhou, Feng Cao, Ying Yan, Chaofeng Sha, Xiaofeng He |
| 2006 | APWEB | Approximate Top-k Structural Similarity Search over XML Documents. | Tao Xie, Chaofeng Sha, Xiaoling Wang, Aoying Zhou |
| 2004 | ICDCS | Nash Equilibria in Parallel Downloading with Multiple Clients. | Jiantao Song, Chaofeng Sha, Hong Zhu |
| 2003 | CCGRID | Explore the "Small World Phenomena" in Pure P2P Information Sharing Systems. | Yi Ren, Chaofeng Sha, Weining Qian, Aoying Zhou, Beng Chin Ooi, Kian-Lee Tan |
| 2003 | CIKM | Dynamically maintaining frequent items over a data stream. | Cheqing Jin, Weining Qian, Chaofeng Sha, Jeffrey Xu Yu, Aoying Zhou |