| 2026 | AAAI | REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models. | Yi Wang, Xiaqiang Tang, Keyu Hu, Haojie Lu, Sihong Xie |
| 2025 | AAAI | Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs. | Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie |
| 2025 | ACL | CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models. | Xiaqiang Tang, Jian Li, Keyu Hu, Nan Du, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie |
| 2025 | COLING | MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity. | Xiaqiang Tang, Qiang Gao, Jian Li, Nan Du, Qi Li, Sihong Xie |
| 2025 | ICLR | Explanations of GNN on Evolving Graphs via Axiomatic Layer edges. | Yazheng Liu, Sihong Xie |
| 2025 | ICLR | Wasserstein-Regularized Conformal Prediction under General Distribution Shift. | Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie |
| 2025 | UAI | Budget Allocation Exploiting Label Correlation between Instances. | Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li |
| 2024 | ICDM | Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation. | Ru-Bin Li, Man-Sheng Chen, Xin-Yu Ding, Changdong Wang, Sihong Xie, Shuangyin Liu, Min Chen, Mohsen Guizani |
| 2023 | ICLR | A Differential Geometric View and Explainability of GNN on Evolving Graphs. | Yazheng Liu, Xi Zhang, Sihong Xie |
| 2023 | ICMLA | Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. | Ainara Garcia, Sihong Xie, Arielle Carr |
| 2023 | IJCNN | Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. | Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang |
| 2023 | UAI | Optimal Budget Allocation for Crowdsourcing Labels for Graphs. | Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li |
| 2022 | KDD | Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). | Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng |
| 2021 | CIKM | Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection. | Kai Burkholder, Kenny Kwock, Yuesheng Xu, Jiaxin Liu, Chao Chen, Sihong Xie |
| 2021 | ICDM | Self-learn to Explain Siamese Networks Robustly. | Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie |
| 2021 | ICDM | Multi-objective Explanations of GNN Predictions. | Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie |
| 2021 | ICDM | Truth Discovery in Sequence Labels from Crowds. | Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li |
| 2021 | KDD | The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. | Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao |
| 2021 | KDD | Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks. | Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie |
| 2020 | CIKM | Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. | Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie |
| 2020 | CIKM | Active Search using Meta-Bandits. | Shengli Zhu, Jakob Coles, Sihong Xie |
| 2020 | KDD | Robust Spammer Detection by Nash Reinforcement Learning. | Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie |
| 2019 | BMVC | Transductive Learning Via Improved Geodesic Sampling. | Youshan Zhang, Sihong Xie, Brian D. Davison |
| 2019 | DSAA | MARS: Memory Attention-Aware Recommender System. | Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu |
| 2019 | ICDM | Scalable Explanation of Inferences on Large Graphs. | Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie |
| 2018 | AAAI | Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. | Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu |
| 2017 | ADMA | Efficient Revenue Maximization for Viral Marketing in Social Networks. | Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang |
| 2017 | IJCAI | SEVEN: Deep Semi-supervised Verification Networks. | Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu |
| 2016 | CIKM | Active Zero-Shot Learning. | Sihong Xie, Shaoxiong Wang, Philip S. Yu |
| 2016 | CIKM | Multi-source Hierarchical Prediction Consolidation. | Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu |
| 2016 | IJCAI | Item Recommendation for Emerging Online Businesses. | Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu |
| 2016 | WWW | HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer. | Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu |
| 2016 | SDM | Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. | Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu |
| 2016 | SDM | Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. | Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin |
| 2015 | CIKM | Learning Entity Types from Query Logs via Graph-Based Modeling. | Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu |
| 2015 | DSAA | An effective and economic bi-level approach to ranking and rating spam detection. | Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu |
| 2015 | DSAA | A context-aware approach to detection of short irrelevant texts. | Sihong Xie, Jing Wang, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin, Clement T. Yu, Philip S. Yu |
| 2015 | ICWSM | CENI: A Hybrid Framework for Efficiently Inferring Information Networks. | Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu |
| 2015 | SDM | OnlineCM: Real-time Consensus Classification with Missing Values. | Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu |
| 2015 | SDM | Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks. | Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu |
| 2015 | SDM | Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. | Xiaokai Wei, Sihong Xie, Philip S. Yu |
| 2014 | KDD | Class-distribution regularized consensus maximization for alleviating overfitting in model combination. | Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu |
| 2014 | MDM | Trajectory Event Cleaning for Mobile RFID Objects. | Guoqiong Liao, Philip S. Yu, Qianhui Zhong, Sihong Xie, Zhen Shen, Changxuan Wan, Dexi Liu |
| 2014 | WSDM | Inferring the impacts of social media on crowdfunding. | Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu |
| 2014 | SDM | Future Influence Ranking of Scientific Literature. | Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu |
| 2013 | CIKM | An effective latent networks fusion based model for event recommendation in offline ephemeral social networks. | Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu |
| 2013 | ICDM | Multilabel Consensus Classification. | Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu |
| 2012 | EDBT | Relevance search in heterogeneous networks. | Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu |
| 2012 | KDD | Review spam detection via temporal pattern discovery. | Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu |
| 2012 | WWW | Review spam detection via time series pattern discovery. | Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu |
| 2012 | SDM | An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing. | Sihong Xie, Wei Fan, Philip S. Yu |
| 2011 | ICDM | Review Graph Based Online Store Review Spammer Detection. | Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu |
| 2009 | WWW | Latent space domain transfer between high dimensional overlapping distributions. | Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren |
| 2008 | ICDM | Graph-Based Iterative Hybrid Feature Selection. | ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang |