Hong Xie

According to our database, Hong Xie authored at least 78 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analyzing Queueing Problems via Bandits With Linear Reward & Nonlinear Workload Fairness.

Xuchuang Wang, Hong Xie, John C. S. Lui

IEEE Trans. Mob. Comput., April, 2024

Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.

Xiaoyu Shi, Quanliang Liu, Hong Xie, Di Wu, Bo Peng, Mingsheng Shang, Defu Lian

ACM Trans. Inf. Syst., March, 2024

Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems.

Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang

IEEE Trans. Knowl. Data Eng., February, 2024

Robust and efficient algorithms for conversational contextual bandit.

Haoran Gu, Yunni Xia, Hong Xie, Xiaoyu Shi, Mingsheng Shang

Inf. Sci., February, 2024

Q-learning with heterogeneous update strategy.

Tao Tan, Hong Xie, Liang Feng

Inf. Sci., January, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications.

Hong Xie, John C. S. Lui

IEEE/ACM Trans. Netw., December, 2023

A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits.

Hong Xie, Qiao Tang, Qingsheng Zhu

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Optimizing recommendations under abandonment risks: Models and algorithms.

Xuchuang Wang, Hong Xie, Pinghui Wang, John C. S. Lui

Perform. Evaluation, September, 2023

Generalized Contextual Bandits With Latent Features: Algorithms and Applications.

Xiongxiao Xu, Hong Xie, John C. S. Lui

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Efficient algorithms for multi-armed bandits with additional feedbacks: Modeling and algorithms.

Hong Xie, Haoran Gu, Zhi Qi

Inf. Sci., July, 2023

Common Neighbors Matter: Fast Random Walk Sampling With Common Neighbor Awareness.

Rui Wang, Yongkun Li, Shuai Lin, Weijie Wu, Hong Xie, Yinlong Xu, John C. S. Lui

IEEE Trans. Knowl. Data Eng., May, 2023

Optimizing Random Walk Based Statistical Estimation Over Graphs via Bootstrapping.

Hong Xie, Pei Yi, Yongkun Li, John C. S. Lui

IEEE Trans. Knowl. Data Eng., March, 2023

Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms.

Shiyuan Zheng, Hong Xie, John C. S. Lui

IEEE Trans. Netw. Sci. Eng., 2023

Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating and Convergence.

Hong Xie, John C. S. Lui

IEEE Trans. Mob. Comput., 2023

Online Zero-Cost Learning: Optimizing Large Scale Network Rare Threats Simulation.

Tingwei Liu, Hong Xie, John C. S. Lui

IEEE Trans. Mob. Comput., 2023

Enhancing Sybil Detection via Social-Activity Networks: A Random Walk Approach.

Xiaoying Zhang, Hong Xie, Pei Yi, John C. S. Lui

IEEE Trans. Dependable Secur. Comput., 2023

Interactive Log Parsing via Light-weight User Feedbacks.

Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui

CoRR, 2023

Interactive Log Parsing via Light-weight User Feedback.

Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui

Proceedings of the ACM Web Conference 2023, 2023

Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback.

Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui

Proceedings of the IEEE INFOCOM 2023, 2023

Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation.

Kexiang Zeng, Xiaoyu Shi, Hong Xie, Mingsheng Shang

Proceedings of the 2nd International Conference on Algorithms, 2023

2022

Toward Fast and Scalable Random Walks over Disk-Resident Graphs via Efficient I/O Management.

Rui Wang, Yongkun Li, Yinlong Xu, Hong Xie, John C. S. Lui, Shuibing He

ACM Trans. Storage, 2022

Optimizing Social Visibility in OSNs With Anonymity Guarantees: Efficient Algorithms and Applications.

Shiyuan Zheng, Hong Xie, John C. S. Lui

IEEE Trans. Netw. Sci. Eng., 2022

A Reinforcement Learning Approach to Price Cloud Resources With Provable Convergence Guarantees.

Hong Xie, John C. S. Lui

IEEE Trans. Neural Networks Learn. Syst., 2022

Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization.

Li Ye, Hong Xie, Yishi Lin, John C. S. Lui

IEEE Trans. Knowl. Data Eng., 2022

Improving Bandit Learning Via Heterogeneous Information Networks: Algorithms and Applications.

Xiaoying Zhang, Hong Xie, John C. S. Lui

ACM Trans. Knowl. Discov. Data, 2022

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding.

Zhi Qi, Hong Xie, Ye Li, Jian Tan, Feifei Li, John C. S. Lui

CoRR, 2022

Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications.

Xuchuang Wang, Hong Xie, John C. S. Lui

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Reposting Service in Online Social Networks: Modeling and Online Incentive Protocols.

Shiyuan Zheng, Xudong Liu, Hong Xie, John C. S. Lui

Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms.

Xuchuang Wang, Hong Xie, John C. S. Lui

Proceedings of the International Conference on Machine Learning, 2022

2021

Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference.

Hong Xie, Mingze Zhong, Yongkun Li, John C. S. Lui

ACM Trans. Knowl. Discov. Data, 2021

On Modeling Influence Maximization in Social Activity Networks under General Settings.

Rui Wang, Yongkun Li, Shuai Lin, Hong Xie, Yinlong Xu, John C. S. Lui

ACM Trans. Knowl. Discov. Data, 2021

Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision.

Ye Li, Hong Xie, Yishi Lin, John C. S. Lui

Proceedings of the WWW '21: The Web Conference 2021, 2021

A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning.

Qiao Tang, Hong Xie

Proceedings of the IEEE International Conference on Data Mining, 2021

Social Visibility Optimization in OSNs with Anonymity Guarantees: Modeling, Algorithms and Applications.

Shiyuan Zheng, Hong Xie, John C. S. Lui

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Heterogeneous Information Assisted Bandit Learning: Theory and Application.

Xiaoying Zhang, Hong Xie, John C. S. Lui

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

A Bootstrapping Approach to Optimize Random Walk Based Statistical Estimation over Graphs.

Pei Yi, Hong Xie, Yongkun Li, John C. S. Lui

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Mining Deficiencies of Online Reputation Systems: Methodologies, Experiments and Implications.

Hong Xie, John C. S. Lui

IEEE Trans. Serv. Comput., 2020

Quantifying Deployability and Evolvability of Future Internet Architectures via Economic Models.

Ye Li, Hong Xie, John C. S. Lui, Kenneth L. Calvert

IEEE/ACM Trans. Netw., 2020

A Reinforcement Learning Approach to Optimize Discount and Reputation Tradeoffs in E-commerce Systems.

Hong Xie, Yongkun Li, John C. S. Lui

ACM Trans. Internet Techn., 2020

Understanding Assimilation-contrast Effects in Online Rating Systems: Modelling, Debiasing, and Applications.

Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui

ACM Trans. Inf. Syst., 2020

Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions.

Li Ye, Yishi Lin, Hong Xie, John C. S. Lui

CoRR, 2020

Conversational Contextual Bandit: Algorithm and Application.

Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications.

Tingwei Liu, Hong Xie, John C. S. Lui

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Robust Product Rating Rules Against Herding Effects: Theory and Applications.

Hong Xie, Mingze Zhong

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Pay as Your Service Needs: An Application-Driven Pricing Approach for the Internet Economics.

Hong Xie, Weijie Wu, Richard T. B. Ma, John C. S. Lui

ACM Trans. Internet Techn., 2019

Toward Building Conversational Recommender Systems: A Contextual Bandit Approach.

Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui

CoRR, 2019

To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks.

Ye Li, Hong Xie, Yishi Lin, John C. S. Lui

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning.

Hong Xie, Yongkun Li, John C. S. Lui

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Understanding Persuasion Cascades in Online Product Rating Systems.

Hong Xie, Yongkun Li, John C. S. Lui

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Incentive Mechanism and Rating System Design for Crowdsourcing Systems: Analysis, Tradeoffs and Inference.

Hong Xie, John C. S. Lui

IEEE Trans. Serv. Comput., 2018

Information Spreading Forensics via Sequential Dependent Snapshots.

Kechao Cai, Hong Xie, John C. S. Lui

IEEE/ACM Trans. Netw., 2018

Enhancing Reputation via Price Discounts in E-Commerce Systems: A Data-Driven Approach.

Hong Xie, Richard T. B. Ma, John C. S. Lui

ACM Trans. Knowl. Discov. Data, 2018

A Markov Decision Process Approach to Analyze Discount & Reputation Trade-offs in E-commerce Systems.

Hong Xie, John C. S. Lui

SIGMETRICS Perform. Evaluation Rev., 2018

Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.

Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Sybil Detection in Social-Activity Networks: Modeling, Algorithms and Evaluations.

Xiaoying Zhang, Hong Xie, John C. S. Lui

Proceedings of the 2018 IEEE 26th International Conference on Network Protocols, 2018

Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models.

Ye Li, Hong Xie, John C. S. Lui

Proceedings of the 2018 IEEE 26th International Conference on Network Protocols, 2018

2017

Mining Customer Valuations to Optimize Product Bundling Strategy.

Li Ye, Hong Xie, Weijie Wu, John C. S. Lui

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

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

Proceedings of the Database Systems for Advanced Applications, 2017

2016

Design and Analysis of Incentive and Reputation Mechanisms for Online Crowdsourcing Systems.

Hong Xie, John C. S. Lui, Don Towsley

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

Generalization of Information Spreading Forensics via Sequential Dependent Snapshots.

Kechao Cai, Hong Xie, John C. S. Lui

SIGMETRICS Perform. Evaluation Rev., 2016

Impact of Online Activities on Influence Maximization: A Random Walk Approach.

Pengpeng Zhao, Yongkun Li, Hong Xie, Zhiyong Wu, Yinlong Xu, Richard T. B. Ma, John C. S. Lui

CoRR, 2016

Trading Discount for Reputation?: On the Design and Analysis of E-Commerce Discount Mechanisms.

Hong Xie, Richard T. B. Ma, John C. S. Lui

Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

2015

Mathematical Modeling and Analysis of Product Rating with Partial Information.

Hong Xie, John C. S. Lui

ACM Trans. Knowl. Discov. Data, 2015

Modeling eBay-like reputation systems: Analysis, characterization and insurance mechanism design.

Hong Xie, John C. S. Lui

Perform. Evaluation, 2015

Mathematical Modeling of Insurance Mechanisms for E-commerce Systems.

Hong Xie, John C. S. Lui

CoRR, 2015

Incentive and reputation mechanisms for online crowdsourcing systems.

Hong Xie, John C. S. Lui, Don Towsley

Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems.

Hong Xie, John C. S. Lui

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Mechanism Approach to Reduce New Seller Ramp-Up Time in eBay-Like Reputation Systems.

Hong Xie, John C. S. Lui

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014

Modeling crowdsourcing systems: design and analysis of incentive mechanism and rating system.

Hong Xie, John C. S. Lui

SIGMETRICS Perform. Evaluation Rev., 2014

Mathematical modeling of group product recommendation with partial information: How many ratings do we need?

Hong Xie, John C. S. Lui

Perform. Evaluation, 2014

A provable algorithmic approach to product selection problems for market entry and sustainability.

Silei Xu, Yishi Lin, Hong Xie, John C. S. Lui

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Mathematical Modeling of Crowdsourcing Systems: Incentive Mechanism and Rating System Design.

Hong Xie, John C. S. Lui, Wenjie Jiang

Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

Incentive mechanism and protocol design for crowdsourcing systems.

Hong Xie, John C. S. Lui, Joe Wenjie Jiang, Wei Chen

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Mathematical Modeling of Product Rating: Sufficiency, Misbehavior and Aggregation Rules

Hong Xie, John C. S. Lui

CoRR, 2013

2012

Mathematical Modeling of Competitive Group Recommendation Systems with Application to Peer Review Systems

Hong Xie, John C. S. Lui

CoRR, 2012