Selected publications:

Conferences (*corresponding author):

  1. Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C.S. Lui, Defu Lian, Enhong Chen
    2. Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users.
    Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.

  2. Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C.S. Lui, Hang Li
    3. Uncertainty-Aware Instance Reweighting for Off-Policy Learning.
    Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

  3. Xiaoyu Shi, Quanliang Liu, Hong Xie*, Mingsheng Shang.
    4. Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach
    IEEE International Conference on Web Services (ICWS), short paper, 2023.

  4. Jinyu Mo, Hong Xie*, Xiaoyu Shi, Mingsheng Shang.
    5. CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation
    International Joint Conference on Neural Networks (IJCNN), 2023.

  5. Jinyu Mo, Hong Xie*.
    6. A Multi-player MAB Approach for Distributed Selection Problems
    The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023.
    (AR: 143/822 = 17%)

  6. Hanxuan Xu, Hong Xie*.
    7. A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning
    The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023.
    (AR: 143/822 = 17%)

  7. Liming Wang, Hong Xie*, Ye Li, Jian Tan, John C.S. Lui.
    8. Interactive Log Parsing via Light-weight Feedback
    The Web Conference (WWW) , 2023.
    (AR: 365/1900 = 19.2%)

  8. Zhi Qi, Hong Xie*, Mingsheng Shang.
    9. A Predictive Coding Approach to Multivariate Time Series Anomaly Detection
    The 28th International Conference on Database Systems for Advanced Applications (DASFAA), 2023.
    (AR: 126/652 = 19.3%)

  9. Xutong Liu, Jinhang Zuo, Hong Xie*, C.J. Wong, John C.S. Lui.
    10. Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback
    IEEE International Conference on Computer Communications (INFOCOM) , 2023.
    (AR: 252/1312 = 19.2%)

  10. Shiyuan Zheng, Xudong Liu, Hong Xie*, John C.S. Lui.
    11. Reposting Service in Online Social Networks: Modeling and Online Incentive Protocols.
    The 30th annual edition of the IEEE International Conference on Network Protocols (ICNP), 2022.

  11. Xuchuang Wang, Hong Xie*, John C.S. Lui.
    12. Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms.
    The 39th International Conference on Machine Learning (ICML) , 2022.

  12. Xuchuang Wang, Hong Xie*, John C.S. Lui.
    13. Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications.
    31st International Joint Conference on Artificial Intelligence (IJCAI) , 2022.

  13. Junpu Chen, Hong Xie*.
    14. An Online Learning Approach to Sequential User-centric Selection Problems.
    Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) , 2022.

  14. Qiao Tang, Hong Xie*.
    15. A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning.
    IEEE International Conference on Data Mining (ICDM), 2021.

  15. Mingze Zhong, Hong Xie*, Qingsheng Zhu.
    16. Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , 2021.

  16. Qiao Tang, Hong Xie*, Yunni Xia, Jia Lee, Qingsheng Zhu.
    17. Robust Contextual Bandits via Bootstrapping.
    Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) , 2021.

  17. Ye Li, Hong Xie*, Yishi Lin, and John C.S. Lui.
    18. Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision.
    The Web Conference (WWW) , 2021.

  18. Pei Yi, Hong Xie*, Yongkun Li, and John C.S. Lui.
    19. A Bootstrapping Approach to Optimize Random Walk Based Statistical Estimation over Graphs.
    IEEE International Conference on Data Engineering (ICDE) , 2021.

  19. Shiyuan Zheng, Hong Xie* and John C.S. Lui.
    20. Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms.
    The International Conference on Advances in Social Network Analysis and Mining (ASONAM ), short paper, 2021.

  20. Shiyuan Zheng, Hong Xie* and John C.S. Lui.
    21. Social Visibility Optimization in OSNs with Anonymity Guarantees: Modeling, Algorithms and Applications.
    IEEE International Conference on Data Engineering (ICDE) , short paper, 2021.

  21. Xiaoying Zhang, Hong Xie* and John C.S. Lui.
    22. Heterogeneous Information Assisted Bandit Learning: Theory and Application.
    IEEE International Conference on Data Engineering (ICDE) , short paper, 2021.

  22. Tingwei Liu, Hong Xie*, and John C.S. Lui.
    23. ``Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications. '' 
    International Conference on Computer Communication (INFOCOM) , 2020.
    (Best Paper Candidate)

  23. Rui Wang, Yongkun Li, Hong Xie, John C.S. Lui and Yinlong Xu.
    24. ``GraphWalker: An I/O-Efficient and Resource-Friendly Graph Analytic System for Fast and Scalable Random Walks. '' 
    USENIX Annual Technical Conference (ATC) , 2020.

  24. Xiaoying Zhang, Hong Xie, Hang Li and John C.S. Lui.
    25. ``Conversational Contextual Bandits: Algorithm and Application.'' 
    The Web Conference (WWW) , 2020.

  25. Hong Xie, and Mingze Zhong
    26. ``Robust Product Rating Rules Against Herding Effects: Theory and Applications.'' 
    IEEE International Conference on Data Mining (ICDM), short paper, 2020.

  26. Ye Li, Hong Xie, Yishi Lin, John C.S. Lui.
    27. ``To Be or Not To Be: Analyzing & Modeling Social Recommendation in Online Social Networks.'' 
    IEEE International Conference on Data Mining (ICDM), pp. 1180-1185, short paper, 2019.

  27. Yongkun Li, Zhiyong Wu, Shuai Lin, Hong Xie, Min Lv, Yinlong Xu, John C.S. Lui.
    28. ``Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness.'' 
    IEEE International Conference on Data Engineering (ICDE) , pp. 962-973, 2019.

  28. Hong Xie, Yongkun Li, John C.S. Lui
    29. ``Understanding Persuasion Cascades in Online Product Rating Systems. '' 
    Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) , pp. 5490-5497, 2019.

  29. Hong Xie, Yongkun Li, John C.S. Lui
    30. ``Optimizing Discount & Reputation Trade-offs in E-commerce Systems: Characterization and Online Learning. '' 
    Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) , pp. 7992-7999, 2019.

  30. Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C.S. Lui.
    31. ``Modeling the AssimilationContrast Effects in Online Product Rating Systems: Debiasing and Recommendations. '' 
    International Joint Conference on Artificial Intelligence (IJCAI), sister-conference best-paper track, 2018.

  31. Xiaoying Zhang, Hong Xie, John C.S. Lui
    ``Sybil Detection in Social-Activity Networks: Modeling, Algorithms and Evaluations. '' 
    IEEE International Conference on Network Protocols (ICNP), 2018.

  32. Ye Li, Hong Xie, John C.S. Lui.
    33. ``Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. '' 
    IEEE International Conference on Network Protocols (ICNP), 2018.

  33. Hong Xie, John C.S. Lui.
    34. ``A Markov Decision Process Approach to Analyze Discount & Reputation Trade-offs in E-commerce Systems. '' 
    The 20nd Workshop on MAthematical performance Modeling and Analysis (MAMA), in conjunction with ACM SIGMETRICS 2018.

  34. Ye Li, Hong Xie, Weijie Wu, John C.S. Lui.
    35. Mining Customer Valuations to Optimize Bundling Strategy.
    Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 555-564, 2017.

  35. Pengpeng Zhao, Yongkun Li, Hong Xie, Zhiyong Wu, Yinlong Xu, John C.S. Lui.
    36. ``Measuring and Maximizing Influence via Random Walk in Social Activity Networks.''
    Proceedings of the 22nd International Conference on Database Systems for Advanced Applications (DASFAA), pp. 323-338, 2017.

  36. Kechao Cai, Hong Xie, John C.S. Lui.
    37. ``Generalization of Information Spreading Forensics via Sequential Dependent Snapshots.''
    The 18th Workshop on MAthematical performance Modeling and Analysis (MAMA), in conjunction with ACM SIGMETRICS 2016.

  37. Hong Xie, Richard T.B. Ma, John C.S. Lui.
    38. ``Trading Discount for Reputation? On the Design and Analysis of E-Commerce Discount Mechanisms..''
    Proceedings of the ACM SIGMETRICS/IFIP Performance (SIGMETRICS), pp. 417--418, poster, 2016.

  38. Hong Xie, John C.S. Lui.
    39. ``A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems.''
    Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 1045-1050, short paper, 2015.

  39. Hong Xie, John C.S. Lui.
    40. ``Modeling eBay-Like Reputation Systems: Analysis, Characterization and Insurance Mechanism Design.''
    Proceedings of the 33rd International Symposium on Computer Performance, Modeling, Measurements and Evaluation (IFIP Performance), 2015.

  40. Hong Xie, John C.S. Lui, Don Towsley.
    41. ``Incentive and Reputation Mechanisms for Online Crowdsourcing Systems.''
    Proceedings of the IEEE/ACM International Symposium on Quality and Service (IWQoS), pp. 207-212, short paper, 2015.

  41. Hong Xie, John C.S. Lui.
    42. ``A Mechanism Approach to Reduce the Ramp Up Time in eBay like Reputation Mechanisms.''
    Proceedings of the IEEE 35th International Conference on Distributed Computing Systems (ICDCS), pp. 770-771, poster, 2015.

  42. Hong Xie, John C.S. Lui, Wenjie Jiang.
    43. ``Mathematical Modeling of Crowdsourcing Systems: Incentive Mechanism and Rating System Design.''
    Proceedings of the IEEE 22nd International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 181-186, short paper, 2014.

  43. Hong Xie, John C.S. Lui, Wenjie Jiang, Wei Chen.
    44. ``Incentive Mechanism and Protocol Design for Crowdsourcing Systems.''
    Proceedings of the 52nd Annual Allerton Conference on Communication, Control, and Computing, (Allerton), pp.140-147, 2014.

  44. Hong Xie, John C.S. Lui.
    45. ``Modeling crowdsourcing systems: design and analysis of incentive mechanism and rating system.''
    The 16th Workshop on MAthematical performance Modeling and Analysis (MAMA), 2014, in conjunction with ACM SIGMETRICS 2014.

  45. Silei Xu, Yishi Lin, Hong Xie, John C.S. Lui.
    46. ``A Provable Algorithmic Approach to Product Selection Problems for Market Entry and Sustainability.''
    Proceedings of the 26th Int. Conference on Scientific and Statistical Database Management (SSDBM), pp. 19:1--19:12, 2014.

Journals:

  1. Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang  
    2. ``Maximum Entropy Policy for Long-term Fairness in Interactive Recommender Systems.''
    accepted to IEEE Transactions on Services Computing (TSC) .

  2. Gengzhi Zhang, Liang Feng, Yu Wang, Min Li, Hong Xie, Kay Chen Tan  
    3. ``Reinforcement Learning with Adaptive Policy Gradient Transfer Across Heterogeneous Problems.''
    accepted to IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) .

  3. Haoran Gu, Yunni Xia, Hong Xie*, Xiaoyu Shi, Mingsheng Shang  
    4. ``Robust and Efficient Algorithms for Conversational Contextual Bandit.''
    accepted to Information Sciences (INS) .

  4. Tao Tan, Hong Xie, Liang Feng  
    5. ``Q-learning with Heterogeneous Update Strategy.''
    accepted to Information Sciences (INS) .

  5. Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian  
    6. ``Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.''
    accepted to Transactions on Information Systems (TOIS) .

  6. Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang 
    7. ``Probabilistic Modeling of Assimilate-ContrastEffects in Online Rating Systems.''
    accepted to IEEE Transactions on Knowledge and Data Engineering (TKDE) .

  7. Xuchuang Wang, Hong Xie, John C.S. Lui 
    8. ``Analyzing Queueing Problems via Bandits with Linear Reward & Nonlinear Workload Fairness.''
    accepted to IEEE Transactions on Mobile Computing (TMC) .

  8. Xuchuang Wang, Hong Xie*, Pinghui Wang, John C.S. Lui 
    9. ``Optimizing Recommendations under Abandonment Risks: Models and Algorithms.''
    accepted to Elsevier Performance Evaluation Journal (Performance Evaluation).

  9. Hong Xie*, John C.S. Lui 
    10. ``Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications.''
    accepted to IEEE/ACM Transactions on Networking (ToN) .

  10. Hong Xie, Qiao Tang and Qingsheng Zhu 
    11. ``A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits.''
    accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

  11. Xiongxiao Xu, Hong Xie*, John C.S. Lui 
    12. ``Generalized Contextual Bandits With Latent Features: Algorithms and Applications.''
    accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

  12. Hong Xie, Haoran Gu, Zhi Qi 
    13. ``Efficient Algorithms for Multi-armed Bandits with Additional Feedbacks: Modeling and Algorithms.''
    Information Sciences (INS), 633: 453-468, 2023.

  13. Shiyuan Zheng, Hong Xie*, John C.S. Lui 
    14. ``Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms.''
    IEEE Transactions on Network Science and Engineering (TNSE), 10(2): 859-870, 2023.

  14. Yongkun Li, Rui Wang, Shuai Lin, Weijie Wu,, Hong Xie, Yinlong Xu, John C.S. Lui 
    15. ``Common Neighbors Matter: Fast Random Walk Sampling with Common Neighbor Awareness.''
    IEEE Transactions on Knowledge and Data Engineering (TKDE) , Vol. 35(5): 4570-4584, 2023 .

  15. Xiaoying Zhang, Hong Xie*, Pei Yi and John C.S. Lui 
    16. ``Enhancing Sybil Detection via Social-Activity Networks: A Random Walk Approach.''
    IEEE Transactions on Dependable and Secure Computing (TDSC) , Vol. 20(2): 1213-1227, 2023 .

  16. Hong Xie, Pei Yi, Yongkun Li and John C.S. Lui 
    17. ``Optimizing Random Walk Based Statistical Estimation over Graphs via Bootstrapping.''
    IEEE Transactions on Knowledge and Data Engineering (TKDE) , 35(3), 2916-2929, 2023.

  17. Tingwei Liu, Hong Xie*, John C.S. Lui 
    18. ``Online Zero-Cost Learning: Optimizing Large Scale Network Rare Threats Simulation.''
    IEEE Transactions on Mobile Computing (TMC) , 22(1): 356-373, 2023.

  18. Hong Xie, John C.S. Lui 
    19. ``Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating & Convergence.''
    IEEE Transactions on Mobile Computing (TMC) , 22(1): 459-471, 2023.

  19. Hong Xie, John C.S. Lui 
    20. ``A Reinforcement Learning Approach to Price Cloud Resources with Provable Convergence Guarantees.''
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33(12), pp. 7448-7460, 2022.

  20. Rui Wang, Yongkun Li, Yinlong Xu, Hong Xie, John C.S. Lui, Shuibing He 
    21. ``Towards Fast and Scalable Random Walks over Disk-Resident Graphs via Efficient I/O Management.''
    ACM Transactions on Storage (TOS) , vol 18 (4), 1-33, 2022.

  21. Shiyuan Zheng, Hong Xie*, and John C.S. Lui 
    22. ``Optimizing Social Visibility in OSNs with Anonymity Guarantees: Efficient Algorithms and Applications.''
    IEEE Transactions on Network Science and Engineering (TNSE), vol 9(4), pp. 2237-2251, 2022.

  22. Xiaoying Zhang, Hong Xie*, and John C.S. Lui 
    23. ``Improving Bandit Learning via Heterogeneous Information Networks: Algorithms and Applications.''
    ACM Transactions on Knowledge Discovery from Data (TKDD), vol 16(6), pp. 1-25, 2022.

  23. Ye Li, Hong Xie*, Yishi Lin and John C.S. Lui
    24. ``Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimizations.''
    IEEE Transactions on Knowledge and Data Engineering (TKDE) , vol 34(9), 4410-4424, 2022.

  24. Rui Wang, Yongkun Li, Shuai Lin, Hong Xie, Yinlong Xu, John C.S. Lui 
    25. ``On Modeling Influence Maximization in Social Activity Networks under General Settings.''
    ACM Transactions on Knowledge Discovery from Data (TKDD), vol 15(6), pp. 108:1-108:28,2021.

  25. Hong Xie, Mingze Zhong, Yongkun Li and John C.S. Lui 
    26. ``Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis and Inference.''
    ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 15(3), pp. 36:1-36:29, 2021.

  26. Hong Xie, Yongkun Li and John C.S. Lui 
    27. ``A Reinforcement Learning Approach to Optimize Discount & Reputation Trade-offs in E-commerce Systems.''
    ACM Transactions on Internet Technology (TOIT), Vol. 20 (4), 2020.

  27. Ye Li, Hong Xie*, John C.S. Lui, Ken Calvert. 
    28. ``Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models.''
    IEEE/ACM Transactions on Networking (ToN) , vol. 28(5), pp. 1995 - 2008, 2020.

  28. Hong Xie, John C.S. Lui. 
    29. ``Mining Deficiencies of Online Reputation Systems: Methodologies, Experiments and Implications.''
    IEEE Transactions on Services Computing (TSC), vol. 13(5), pp. 887-900, 2020.

  29. Xiaoying Zhang, Hong Xie*, Junzhou Zhao, John C.S. Lui. 
    30. ``Understanding Assimilation-Contrast Effects in Online Rat. Sys.: Modeling, Debiasing and Applications..''
    ACM Transactions on Information Systems (TOIS) , vol. 38(1), 2:1-2:25, 2020.

  30. Hong Xie, Weijie Wu, Richard T.B. Ma, John C.S. Lui. 
    31. ``Pay as Your Service Needs: An Application-Driven Pricing Approach for the Internet Economics.''
    ACM Transactions on Internet Technology (TOIT), vol. 19(4), 2019.

  31. Hong Xie, John C.S. Lui.
    32. A Markov Decision Process Approach to Analyze Discount & Reputation Trade-offs in E-commerce Systems.
    SIGMETRICS Performance Evaluation Review, vol. 46, no. 2, pp. 3-5, 2018.  

  32. Kechao Cai, Hong Xie, John C.S. Lui.
    33. `` Information Source Detection on Networks via Sequential Depedent Snapshots.''
    IEEE/ACM Transactions on Networking (ToN) , 26(1), 478-491, 2018.

  33. Hong Xie, John C.S. Lui. 
    34. ``Incentive Mechanism and Rating System Design for Crowdsourcing Systems: Analysis, Tradeoffs and Inference.''
    IEEE Transactions on Services Computing (TSC), vol. 11, pp. 90-102, 2018.

  34. Hong Xie, Richard T.B. Ma, John C.S. Lui. 
    35. ``Enhancing Reputation via Price Discount in E-Commerce Systems: A Data Driven Approach.''
    ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 12(3), 2018.

  35. Kechao Cai, Hong Xie, John C.S. Lui.
    36. ``Generalization of Information Spreading Forensics via Sequential Dependent Snapshots.''
    SIGMETRICS Performance Evaluation Review, vol. 44, no. 2, pp. 12-14, 2016.

  36. Hong Xie, John C.S. Lui, Don Towsley. 
    37. ``Design and Analysis of Incentive and Reputation Mechanisms for Online Crowdsourcing Systems.''
    ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 1(3), 2016.

  37. Hong Xie, John C.S. Lui.
    38. ``Mathematical Modeling and Analysis of Product Rating with Partial Information.''
    ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 9 (4), pp. 26:1-26:33, 2015.

  38. Hong Xie, John C.S. Lui. 
    39. ``Modeling eBay-Like Reputation Systems: Analysis, Characterization and Insurance Mechanism Design.''
    Elsevier Performance Evaluation Journal, vol. 91, pp. 132-149, 2015.

  39. Hong Xie, John C.S. Lui.
    40. ``Mathematical modeling of group product recommendation with partial information: How many ratings do we need?''
    Elsevier Performance Evaluation Journal, vol. 77, pp. 72-95, 2014.

  40. Hong Xie, John C.S. Lui.
    41. ``Modeling crowdsourcing systems: design and analysis of incentive mechanism and rating system.'' 
    SIGMETRICS Performance Evaluation Review, vol. 42, no. 2, pp. 52-54, 2014.

Thesis: