Hong Xie
Orcid: 0000-0001-7935-7210Affiliations:
- Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- National University of Singapore, School of Computing, Singapore (2015 - 2017)
- Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (PhD 2015)
According to our database1,
Hong Xie
authored at least 99 papers
between 2012 and 2025.
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Bibliography
2025
Mach. Learn., January, 2025
2024
ACM Trans. Knowl. Discov. Data, November, 2024
Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024
Analyzing Queueing Problems via Bandits With Linear Reward & Nonlinear Workload Fairness.
IEEE Trans. Mob. Comput., April, 2024
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
ACM Trans. Inf. Syst., March, 2024
IEEE Trans. Knowl. Data Eng., February, 2024
Inf. Sci., February, 2024
IEEE Trans. Serv. Comput., 2024
Inf. Sci., 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Hierarchical Reinforcement Learning for Long-term Fairness in Interactive Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE/ACM Trans. Netw., December, 2023
A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Perform. Evaluation, September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Efficient algorithms for multi-armed bandits with additional feedbacks: Modeling and algorithms.
Inf. Sci., July, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
IEEE Trans. Knowl. Data Eng., March, 2023
Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms.
IEEE Trans. Netw. Sci. Eng., 2023
Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating and Convergence.
IEEE Trans. Mob. Comput., 2023
IEEE Trans. Mob. Comput., 2023
IEEE Trans. Dependable Secur. Comput., 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback.
Proceedings of the IEEE INFOCOM 2023, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Web Services, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
Contrastive Learning based Item Representation with Asymmetric Augmentation for Sequential Recommendation.
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.
ACM Trans. Storage, 2022
Optimizing Social Visibility in OSNs With Anonymity Guarantees: Efficient Algorithms and Applications.
IEEE Trans. Netw. Sci. Eng., 2022
A Reinforcement Learning Approach to Price Cloud Resources With Provable Convergence Guarantees.
IEEE Trans. Neural Networks Learn. Syst., 2022
Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization.
IEEE Trans. Knowl. Data Eng., 2022
Improving Bandit Learning Via Heterogeneous Information Networks: Algorithms and Applications.
ACM Trans. Knowl. Discov. Data, 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding.
CoRR, 2022
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Reposting Service in Online Social Networks: Modeling and Online Incentive Protocols.
Proceedings of the 30th IEEE International Conference on Network Protocols, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference.
ACM Trans. Knowl. Discov. Data, 2021
On Modeling Influence Maximization in Social Activity Networks under General Settings.
ACM Trans. Knowl. Discov. Data, 2021
Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021
Social Visibility Optimization in OSNs with Anonymity Guarantees: Modeling, Algorithms and Applications.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
A Bootstrapping Approach to Optimize Random Walk Based Statistical Estimation over Graphs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2020
Mining Deficiencies of Online Reputation Systems: Methodologies, Experiments and Implications.
IEEE Trans. Serv. Comput., 2020
Quantifying Deployability and Evolvability of Future Internet Architectures via Economic Models.
IEEE/ACM Trans. Netw., 2020
A Reinforcement Learning Approach to Optimize Discount and Reputation Tradeoffs in E-commerce Systems.
ACM Trans. Internet Techn., 2020
Understanding Assimilation-contrast Effects in Online Rating Systems: Modelling, Debiasing, and Applications.
ACM Trans. Inf. Syst., 2020
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions.
CoRR, 2020
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.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020
Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
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.
ACM Trans. Internet Techn., 2019
CoRR, 2019
To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
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.
IEEE Trans. Serv. Comput., 2018
IEEE/ACM Trans. Netw., 2018
Enhancing Reputation via Price Discounts in E-Commerce Systems: A Data-Driven Approach.
ACM Trans. Knowl. Discov. Data, 2018
A Markov Decision Process Approach to Analyze Discount & Reputation Trade-offs in E-commerce Systems.
SIGMETRICS Perform. Evaluation Rev., 2018
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 IEEE 26th International Conference on Network Protocols, 2018
Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models.
Proceedings of the 2018 IEEE 26th International Conference on Network Protocols, 2018
2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the Database Systems for Advanced Applications, 2017
2016
Design and Analysis of Incentive and Reputation Mechanisms for Online Crowdsourcing Systems.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016
Generalization of Information Spreading Forensics via Sequential Dependent Snapshots.
SIGMETRICS Perform. Evaluation Rev., 2016
CoRR, 2016
Trading Discount for Reputation?: On the Design and Analysis of E-Commerce Discount Mechanisms.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
Modeling eBay-like reputation systems: Analysis, characterization and insurance mechanism design.
Perform. Evaluation, 2015
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015
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.
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.
SIGMETRICS Perform. Evaluation Rev., 2014
Mathematical modeling of group product recommendation with partial information: How many ratings do we need?
Perform. Evaluation, 2014
A provable algorithmic approach to product selection problems for market entry and sustainability.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014
Mathematical Modeling of Crowdsourcing Systems: Incentive Mechanism and Rating System Design.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
Mathematical Modeling of Product Rating: Sufficiency, Misbehavior and Aggregation Rules
CoRR, 2013
2012
Mathematical Modeling of Competitive Group Recommendation Systems with Application to Peer Review Systems
CoRR, 2012