| 2026 | AAAI | Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob. | Yun Lu, Xiaoyu Shi, Hong Xie, Chongjun Xia, Zhenhui Gong, Mingsheng Shang |
| 2026 | AAAI | Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing. | Hong Xie, Haoran Gu, Yanying Huang, Tao Tan, Defu Lian |
| 2025 | ACL | Exploring the Choice Behavior of Large Language Models. | Weidong Wu, Qinlin Zhao, Hao Chen, Lexin Zhou, Defu Lian, Hong Xie |
| 2025 | APWEB | Auxiliary Variables Enhanced Intra- and Inter-series Tokenization for Multivariate Time Series Forecasting. | Linqiao Huang, Xi Li, Peng Chen, Ang Bian, Yibo Zhang, Xuelian Xie, Hong Xie |
| 2025 | KDD | M | Hongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian |
| 2025 | PRICAI | SED-SLAM: Enhancing Monocular SLAM Under Image Distortions via Spatially Equalized Deep Feature. | Longze Zhu, Li Yan, Hong Xie, Xi Yang, Xiaoteng Yang, Aoran Li |
| 2024 | AAAI | Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. | Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen |
| 2024 | ACL | Understanding and Patching Compositional Reasoning in LLMs. | Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei |
| 2024 | AIME | Minimizing Survey Questions for PTSD Prediction Following Acute Trauma. | Ben Kurzion, Chia-Hao Shih, Hong Xie, Xin Wang, Kevin S. Xu |
| 2024 | IGARSS | Unsupervised Multimodal Change Detection by Distilling Common and Discrepant Representations. | Jian Wang, Li Yan, Hong Xie, Tingyuan Zhou, Wenxu Shi, Peter M. Atkinson |
| 2024 | IJCAI | Adaptive Order Q-learning. | Tao Tan, Hong Xie, Defu Lian |
| 2024 | IJCNN | A Thompson Sampling Approach to User-centric Selection Problems. | Yanying Huang, Haoran Gu, Hong Xie, Mingqiang Zhou |
| 2024 | ICWS | Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation. | Chongjun Xia, Xiaoyu Shi, Hong Xie, Quanliang Liu, Mingsheng Shang |
| 2024 | PAKDD | False Negative Sample Aware Negative Sampling for Recommendation. | Liguo Chen, Zhigang Gong, Hong Xie, Mingqiang Zhou |
| 2024 | PRICAI | Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications. | Luyue Xu, Liming Wang, Hong Xie, Mingqiang Zhou |
| 2023 | DASFAA | A Predictive Coding Approach to Multivariate Time Series Anomaly Detection. | Zhi Qi, Hong Xie, Mingsheng Shang |
| 2023 | IJCNN | CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation. | Jinyu Mo, Hong Xie, Xiaoyu Shi, Mingsheng Shang |
| 2023 | INFOCOM | Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. | Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui |
| 2023 | ICWS | Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach. | Xiaoyu Shi, Quanliang Liu, Hong Xie, Mingsheng Shang |
| 2023 | PAKDD | A Multi-player MAB Approach for Distributed Selection Problems. | Jinyu Mo, Hong Xie |
| 2023 | PAKDD | A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning. | Hanxuan Xu, Hong Xie |
| 2023 | WWW | Interactive Log Parsing via Light-weight User Feedback. | Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui |
| 2022 | AAAI | An Online Learning Approach to Sequential User-Centric Selection Problems. | Junpu Chen, Hong Xie |
| 2022 | ICML | Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms. | Xuchuang Wang, Hong Xie, John C. S. Lui |
| 2022 | ICNP | Reposting Service in Online Social Networks: Modeling and Online Incentive Protocols. | Shiyuan Zheng, Xudong Liu, Hong Xie, John C. S. Lui |
| 2022 | IJCAI | Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications. | Xuchuang Wang, Hong Xie, John C. S. Lui |
| 2021 | AAAI | Robust Contextual Bandits via Bootstrapping. | Qiao Tang, Hong Xie, Yunni Xia, Jia Lee, Qingsheng Zhu |
| 2021 | ICDE | A Bootstrapping Approach to Optimize Random Walk Based Statistical Estimation over Graphs. | Pei Yi, Hong Xie, Yongkun Li, John C. S. Lui |
| 2021 | ICDE | Heterogeneous Information Assisted Bandit Learning: Theory and Application. | Xiaoying Zhang, Hong Xie, John C. S. Lui |
| 2021 | ICDE | Social Visibility Optimization in OSNs with Anonymity Guarantees: Modeling, Algorithms and Applications. | Shiyuan Zheng, Hong Xie, John C. S. Lui |
| 2021 | ICDM | A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning. | Qiao Tang, Hong Xie |
| 2021 | KDD | Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application. | Mingze Zhong, Hong Xie, Qingsheng Zhu |
| 2021 | WWW | Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision. | Ye Li, Hong Xie, Yishi Lin, John C. S. Lui |
| 2020 | ICDM | Robust Product Rating Rules Against Herding Effects: Theory and Applications. | Hong Xie, Mingze Zhong |
| 2020 | INFOCOM | Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications. | Tingwei Liu, Hong Xie, John C. S. Lui |
| 2020 | WWW | Conversational Contextual Bandit: Algorithm and Application. | Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui |
| 2020 | USENIX | GraphWalker: An I/O-Efficient and Resource-Friendly Graph Analytic System for Fast and Scalable Random Walks. | Rui Wang, Yongkun Li, Hong Xie, Yinlong Xu, John C. S. Lui |
| 2019 | AAAI | Understanding Persuasion Cascades in Online Product Rating Systems. | Hong Xie, Yongkun Li, John C. S. Lui |
| 2019 | AAAI | Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning. | Hong Xie, Yongkun Li, John C. S. Lui |
| 2019 | ICDE | Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness. | Yongkun Li, Zhiyong Wu, Shuai Lin, Hong Xie, Min Lv, Yinlong Xu, John C. S. Lui |
| 2019 | ICDM | To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks. | Ye Li, Hong Xie, Yishi Lin, John C. S. Lui |
| 2019 | IJCNN | Language Modeling through Long-Term Memory Network. | Anupiya Nugaliyadde, Ferdous Sohel, Kok Wai Wong, Hong Xie |
| 2018 | HCI | A Knowledge Graph for Eldercare: Constructing a Domain Entity Graph with Guidelines. | You Duan, Pin Ji, Liuqi Jin, Anning Zou, Jiaoyun Yang, Hong Xie, Ning An |
| 2018 | ICNP | Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. | Ye Li, Hong Xie, John C. S. Lui |
| 2018 | ICNP | Sybil Detection in Social-Activity Networks: Modeling, Algorithms and Evaluations. | Xiaoying Zhang, Hong Xie, John C. S. Lui |
| 2018 | ICONIP | Adaptive Crossover Memetic Differential Harmony Search for Optimizing Document Clustering. | Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie |
| 2018 | IJCAI | Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations. | Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui |
| 2018 | SMC | Enhancing Digital Forensic Analysis Using Memetic Algorithm Feature Selection Method for Document Clustering. | Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie |
| 2017 | DASFAA | Measuring and Maximizing Influence via Random Walk in Social Activity Networks. | Pengpeng Zhao, Yongkun Li, Hong Xie, Zhiyong Wu, Yinlong Xu, John C. S. Lui |
| 2017 | ICDM | Mining Customer Valuations to Optimize Product Bundling Strategy. | Li Ye, Hong Xie, Weijie Wu, John C. S. Lui |
| 2017 | ICONIP | Differential Evolution Memetic Document Clustering Using Chaotic Logistic Local Search. | Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie |
| 2017 | ICONIP | Reinforced Memory Network for Question Answering. | Anupiya Nugaliyadde, Kok Wai Wong, Ferdous Sohel, Hong Xie |
| 2016 | SIGMETRICS | Trading Discount for Reputation?: On the Design and Analysis of E-Commerce Discount Mechanisms. | Hong Xie, Richard T. B. Ma, John C. S. Lui |
| 2015 | ICDCS | A Mechanism Approach to Reduce New Seller Ramp-Up Time in eBay-Like Reputation Systems. | Hong Xie, John C. S. Lui |
| 2015 | ICDM | A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems. | Hong Xie, John C. S. Lui |
| 2015 | IWQoS | Incentive and reputation mechanisms for online crowdsourcing systems. | Hong Xie, John C. S. Lui, Don Towsley |
| 2014 | MASCOTS | Mathematical Modeling of Crowdsourcing Systems: Incentive Mechanism and Rating System Design. | Hong Xie, John C. S. Lui, Wenjie Jiang |
| 2014 | SSDBM | A provable algorithmic approach to product selection problems for market entry and sustainability. | Silei Xu, Yishi Lin, Hong Xie, John C. S. Lui |
| 2013 | IWANN | A Motor Imagery Based Brain-Computer Interface Speller. | Bin Xia, Jing Yang, Conghui Cheng, Hong Xie |
| 2012 | IJCNN | A neurofeedback training paradigm for motor imagery based Brain-Computer Interface. | Bin Xia, Qingmei Zhang, Hong Xie, Jie Li |
| 2012 | ISNN | A Co-adaptive Training Paradigm for Motor Imagery Based Brain-Computer Interface. | Bin Xia, Qingmei Zhang, Hong Xie, Shihua Li, Jie Li, Lianghua He |
| 2011 | ICNC | The research for the correlation between ERD/ERS and CSP. | Hong Xie, Dianyun Xiao, Bin Xia, Jie Li, Hong Yang, Qingmei Zhang |
| 2009 | ICONIP | Non-segmented Document Clustering Using Self-Organizing Map and Frequent Max Substring Technique. | Todsanai Chumwatana, Kok Wai Wong, Hong Xie |
| 2005 | ICMLC | Application of Weighted Ideal Point Method to Environmental/Economic Load Dispatch. | Guoli Zhang, Gengyin Li, Hong Xie, Jianwei Ma |
| 2000 | WCNC | MAC layer design for statistical multiplexing of voice and data over EGPRS. | Krishna Balachandran, Cristian Demetrescu, Richard P. Ejzak, Sanjiv Nanda, Hong Xie |
| 1999 | PACT | BSP Performance Analysis and Prediction: Tools and Application. | Weiqun Zheng, Shamim Khan, Hong Xie |
| 1994 | ICIP | An Efficient Method of Volume Rendering for Medical Slices. | Wanqing Li, Hong Xie, Yianni Attikiouzel |