Hong Xie

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 71

Top Topics

Mathematical Model

Reputation Systems

Contextual Bandit

Top Venues

ACM Trans. Knowl. Discov. Data

IEEE Trans. Knowl. Data Eng.

Publications

Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. AAAI (2024)
Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei
Understanding and Patching Compositional Reasoning in LLMs. ACL (Findings) (2024)
Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang
Asynchronous SGD with stale gradient dynamic adjustment for deep learning training. Inf. Sci. 681 (2024)
Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. 42 (2) (2024)
Xiaoyu Shi, Quanliang Liu, Hong Xie, Yanan Bai, Mingsheng Shang
Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems. IEEE Trans. Serv. Comput. 17 (3) (2024)
Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang
Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
Foundations and Frontiers of Graph Learning Theory. CoRR (2024)
Xuchuang Wang, Hong Xie, John C. S. Lui
Analyzing Queueing Problems via Bandits With Linear Reward & Nonlinear Workload Fairness. IEEE Trans. Mob. Comput. 23 (4) (2024)
Tao Tan, Hong Xie, Liang Feng
Q-learning with heterogeneous update strategy. Inf. Sci. 656 (2024)
Haoran Gu, Yunni Xia, Hong Xie, Xiaoyu Shi, Mingsheng Shang
Robust and efficient algorithms for conversational contextual bandit. Inf. Sci. 657 (2024)
Gengzhi Zhang, Liang Feng, Yu Wang, Min Li, Hong Xie, Kay Chen Tan
Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Rui Wang, Yongkun Li, Shuai Lin, Weijie Wu, Hong Xie, Yinlong Xu, John C. S. Lui
Common Neighbors Matter: Fast Random Walk Sampling With Common Neighbor Awareness. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui
Interactive Log Parsing via Light-weight User Feedback. WWW (2023)
Xiaoying Zhang, Hong Xie, Pei Yi, John C. S. Lui
Enhancing Sybil Detection via Social-Activity Networks: A Random Walk Approach. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui
Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. INFOCOM (2023)
Hong Xie, John C. S. Lui
Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating and Convergence. IEEE Trans. Mob. Comput. 22 (1) (2023)
Hong Xie, Haoran Gu, Zhi Qi
Efficient algorithms for multi-armed bandits with additional feedbacks: Modeling and algorithms. Inf. Sci. 633 (2023)
Shiyuan Zheng, Hong Xie, John C. S. Lui
Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms. IEEE Trans. Netw. Sci. Eng. 10 (2) (2023)
Hong Xie, Pei Yi, Yongkun Li, John C. S. Lui
Optimizing Random Walk Based Statistical Estimation Over Graphs via Bootstrapping. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Xuchuang Wang, Hong Xie, Pinghui Wang, John C. S. Lui
Optimizing recommendations under abandonment risks: Models and algorithms. Perform. Evaluation 161 (2023)
Hong Xie, Qiao Tang, Qingsheng Zhu
A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Tingwei Liu, Hong Xie, John C. S. Lui
Online Zero-Cost Learning: Optimizing Large Scale Network Rare Threats Simulation. IEEE Trans. Mob. Comput. 22 (1) (2023)
Hong Xie, John C. S. Lui
Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications. IEEE/ACM Trans. Netw. 31 (6) (2023)
Xiongxiao Xu, Hong Xie, John C. S. Lui
Generalized Contextual Bandits With Latent Features: Algorithms and Applications. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Shiyuan Zheng, Hong Xie, John C. S. Lui
Optimizing Social Visibility in OSNs With Anonymity Guarantees: Efficient Algorithms and Applications. IEEE Trans. Netw. Sci. Eng. 9 (4) (2022)
Hong Xie, John C. S. Lui
A Reinforcement Learning Approach to Price Cloud Resources With Provable Convergence Guarantees. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Shiyuan Zheng, Xudong Liu, Hong Xie, John C. S. Lui
Reposting Service in Online Social Networks: Modeling and Online Incentive Protocols. ICNP (2022)
Li Ye, Hong Xie, Yishi Lin, John C. S. Lui
Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Rui Wang, Yongkun Li, Yinlong Xu, Hong Xie, John C. S. Lui, Shuibing He
Toward Fast and Scalable Random Walks over Disk-Resident Graphs via Efficient I/O Management. ACM Trans. Storage 18 (4) (2022)
Xuchuang Wang, Hong Xie, John C. S. Lui
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms. CoRR (2022)
Xiaoying Zhang, Hong Xie, John C. S. Lui
Improving Bandit Learning Via Heterogeneous Information Networks: Algorithms and Applications. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Xuchuang Wang, Hong Xie, John C. S. Lui
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications. CoRR (2022)
Xuchuang Wang, Hong Xie, John C. S. Lui
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications. IJCAI (2022)
Zhi Qi, Hong Xie, Ye Li, Jian Tan, Feifei Li, John C. S. Lui
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding. CoRR (2022)
Xuchuang Wang, Hong Xie, John C. S. Lui
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms. ICML (2022)
Shiyuan Zheng, Hong Xie, John C. S. Lui
Pricing social visibility service in online social networks: modeling and algorithms. ASONAM (2021)
Ye Li, Hong Xie, Yishi Lin, John C. S. Lui
Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision. WWW (2021)
Hong Xie, Mingze Zhong, Yongkun Li, John C. S. Lui
Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Xiaoying Zhang, Hong Xie, John C. S. Lui
Heterogeneous Information Assisted Bandit Learning: Theory and Application. ICDE (2021)
Shiyuan Zheng, Hong Xie, John C. S. Lui
Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms. CoRR (2021)
Rui Wang, Yongkun Li, Shuai Lin, Hong Xie, Yinlong Xu, John C. S. Lui
On Modeling Influence Maximization in Social Activity Networks under General Settings. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Pei Yi, Hong Xie, Yongkun Li, John C. S. Lui
A Bootstrapping Approach to Optimize Random Walk Based Statistical Estimation over Graphs. ICDE (2021)
Shiyuan Zheng, Hong Xie, John C. S. Lui
Social Visibility Optimization in OSNs with Anonymity Guarantees: Modeling, Algorithms and Applications. ICDE (2021)
Rui Wang, Yongkun Li, Hong Xie, Yinlong Xu, John C. S. Lui
GraphWalker: An I/O-Efficient and Resource-Friendly Graph Analytic System for Fast and Scalable Random Walks. USENIX Annual Technical Conference (2020)
Hong Xie, John C. S. Lui
Mining Deficiencies of Online Reputation Systems: Methodologies, Experiments and Implications. IEEE Trans. Serv. Comput. 13 (5) (2020)
Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui
Understanding Assimilation-contrast Effects in Online Rating Systems: Modelling, Debiasing, and Applications. ACM Trans. Inf. Syst. 38 (1) (2020)
Hong Xie, Yongkun Li, John C. S. Lui
A Reinforcement Learning Approach to Optimize Discount and Reputation Tradeoffs in E-commerce Systems. ACM Trans. Internet Techn. 20 (4) (2020)
Li Ye, Yishi Lin, Hong Xie, John C. S. Lui
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. CoRR (2020)
Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui
Conversational Contextual Bandit: Algorithm and Application. WWW (2020)
Ye Li, Hong Xie, John C. S. Lui, Kenneth L. Calvert
Quantifying Deployability and Evolvability of Future Internet Architectures via Economic Models. IEEE/ACM Trans. Netw. 28 (5) (2020)
Tingwei Liu, Hong Xie, John C. S. Lui
Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications. INFOCOM (2020)
Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui
Toward Building Conversational Recommender Systems: A Contextual Bandit Approach. CoRR (2019)
Yongkun Li, Zhiyong Wu, Shuai Lin, Hong Xie, Min Lv, Yinlong Xu, John C. S. Lui
Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness. ICDE (2019)
Hong Xie, Weijie Wu, Richard T. B. Ma, John C. S. Lui
Pay as Your Service Needs: An Application-Driven Pricing Approach for the Internet Economics. ACM Trans. Internet Techn. 19 (4) (2019)
Ye Li, Hong Xie, Yishi Lin, John C. S. Lui
To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks. ICDM (2019)
Hong Xie, Yongkun Li, John C. S. Lui
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning. AAAI (2019)
Hong Xie, Yongkun Li, John C. S. Lui
Understanding Persuasion Cascades in Online Product Rating Systems. AAAI (2019)
Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations. IJCAI (2018)
Hong Xie, John C. S. Lui
A Markov Decision Process Approach to Analyze Discount & Reputation Trade-offs in E-commerce Systems. SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
Xiaoying Zhang, Hong Xie, John C. S. Lui
Sybil Detection in Social-Activity Networks: Modeling, Algorithms and Evaluations. ICNP (2018)
Ye Li, Hong Xie, John C. S. Lui
Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. ICNP (2018)
Kechao Cai, Hong Xie, John C. S. Lui
Information Spreading Forensics via Sequential Dependent Snapshots. IEEE/ACM Trans. Netw. 26 (1) (2018)
Hong Xie, Richard T. B. Ma, John C. S. Lui
Enhancing Reputation via Price Discounts in E-Commerce Systems: A Data-Driven Approach. ACM Trans. Knowl. Discov. Data 12 (3) (2018)
Li Ye, Hong Xie, John C. S. Lui
Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. CoRR (2018)
Hong Xie, John C. S. Lui
Incentive Mechanism and Rating System Design for Crowdsourcing Systems: Analysis, Tradeoffs and Inference. IEEE Trans. Serv. Comput. 11 (1) (2018)
Li Ye, Hong Xie, Weijie Wu, John C. S. Lui
Mining Customer Valuations to Optimize Product Bundling Strategy. ICDM (2017)
Pengpeng Zhao, Yongkun Li, Hong Xie, Zhiyong Wu, Yinlong Xu, John C. S. Lui
Measuring and Maximizing Influence via Random Walk in Social Activity Networks. DASFAA (2) (2017)
Hong Xie, John C. S. Lui, Don Towsley
Design and Analysis of Incentive and Reputation Mechanisms for Online Crowdsourcing Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1 (3) (2016)
Hong Xie, Richard T. B. Ma, John C. S. Lui
Trading Discount for Reputation?: On the Design and Analysis of E-Commerce Discount Mechanisms. SIGMETRICS (2016)
Kechao Cai, Hong Xie, John C. S. Lui
Generalization of Information Spreading Forensics via Sequential Dependent Snapshots. SIGMETRICS Perform. Evaluation Rev. 44 (2) (2016)
Pengpeng Zhao, Yongkun Li, Hong Xie, Zhiyong Wu, Yinlong Xu, Richard T. B. Ma, John C. S. Lui
Impact of Online Activities on Influence Maximization: A Random Walk Approach. CoRR (2016)
Hong Xie, John C. S. Lui
A Mechanism Approach to Reduce New Seller Ramp-Up Time in eBay-Like Reputation Systems. ICDCS (2015)
Hong Xie, John C. S. Lui
Modeling eBay-like reputation systems: Analysis, characterization and insurance mechanism design. Perform. Evaluation 91 (2015)
Hong Xie, John C. S. Lui
A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems. ICDM (2015)
Hong Xie, John C. S. Lui
Mathematical Modeling of Insurance Mechanisms for E-commerce Systems. CoRR (2015)
Hong Xie, John C. S. Lui, Don Towsley
Incentive and reputation mechanisms for online crowdsourcing systems. IWQoS (2015)
Hong Xie, John C. S. Lui
Mathematical Modeling and Analysis of Product Rating with Partial Information. ACM Trans. Knowl. Discov. Data 9 (4) (2015)
Hong Xie, John C. S. Lui
Modeling crowdsourcing systems: design and analysis of incentive mechanism and rating system. SIGMETRICS Perform. Evaluation Rev. 42 (2) (2014)
Hong Xie, John C. S. Lui
Mathematical modeling of group product recommendation with partial information: How many ratings do we need? Perform. Evaluation 77 (2014)
Hong Xie, John C. S. Lui, Joe Wenjie Jiang, Wei Chen
Incentive mechanism and protocol design for crowdsourcing systems. Allerton (2014)
Hong Xie, John C. S. Lui, Wenjie Jiang
Mathematical Modeling of Crowdsourcing Systems: Incentive Mechanism and Rating System Design. MASCOTS (2014)
Silei Xu, Yishi Lin, Hong Xie, John C. S. Lui
A provable algorithmic approach to product selection problems for market entry and sustainability. SSDBM (2014)
Hong Xie, John C. S. Lui
Mathematical Modeling of Product Rating: Sufficiency, Misbehavior and Aggregation Rules CoRR (2013)
Hong Xie, John C. S. Lui
Mathematical Modeling of Competitive Group Recommendation Systems with Application to Peer Review Systems CoRR (2012)