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謝洪

（重慶大學計算機學院教授）

鎖定
謝洪， 男，重慶大學百人計劃特聘研究員、博士生導師。任職於重慶大學計算機學院，計算機科學與技術系。於香港中文大學計算機係獲得博士學位，師從John C.S. Lui教授，中國科學技術大學計算機學院獲得本科學位。曾在新加坡國立大學從事博士後研究師從 Richard T.B. Ma 教授和在香港中文大學從事博士後研究師從 John C.S. Lui 教授。
中文名
謝洪
畢業院校
香港中文大學
學位/學歷
博士
職    業
教師
任職院校
重慶大學計算機學院

目錄

  1. 1 研究興趣
  2. 2 學術成果
  3. ▪ 期刊論文
  4. ▪ 會議論文

謝洪研究興趣

在線機器學習模型、算法及其在數據科學中的應用。主要動機是解決互聯網應用（比如推薦系統、社交網絡等）中如何利用數據優化決策的問題。理論與應用並重，目標是設計實際應用效果好，並且能從理論上論證為什麼好以及什麼時候好的機器學習算法。主要包括以下三方面：
*單智體在線學習：多臂機（Multi-armed bandits），在線優化（Online optimization）等。
*延遲獎勵下的在線學習：馬爾科夫決策理論（Markov decision process），強化學習（Reinforcement learning）等。
*多智體在線學習：隨機博弈論（Stochastic game），多智體強化學習（Multi-agent reinforcement learning）等。
理論上，專注於綜合運用統計學、隨機過程、隨機算法、優化、博弈論等工具解決以上在線學習中的建模與算法問題。
應用上，專注於運用以上方法解決推薦系統、社交網絡、羣智系統、電子商務等應用中如何利用數據優化決策的問題。 [1] 

謝洪學術成果

謝洪期刊論文

13.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.
Accepted to ACM Transactions on Internet Technology (TOIT), 2019.
12.Xiaoying Zhang,Hong Xie, Junzhou Zhao, John C.S. Lui.
Understanding Assimilation-Contrast Effects in Online Rating Systems: Modeling, Debiasing and Applications.
Accepted to ACM Transactions on Information Systems (TOIS), 2019.
11.Hong Xie, John C.S. Lui.
Mining Deficiencies of Online Reputation Systems: Methodologies, Experiments andImplications.
Accepted to IEEE Transactions on Services Computing (TSC), 2017.DOI
10.Hong Xie, John C.S. Lui.
AMarkov Decision Process Approach to Analyze Discount & Reputation Trade-offs in E-commerce Systems.
SIGMETRICSPerformance Evaluation Review, vol. 46, no. 2, pp. 3-5, 2018.
9.Kechao Cai,Hong Xie, John C.S. Lui.
Information Spreading Forensics via Sequential Dependent Snapshots.
IEEE/ACM Transactions on Networking (ToN), 26(1), 478-491, 2018.
8.Hong Xie, John C.S. Lui.
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.
7.Hong Xie, Richard T.B. Ma, John C.S. Lui.
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.
6. Kechao Cai,Hong Xie, John C.S. Lui.
Generalization of Information Spreading Forensics via Sequential Dependent Snapshots.
SIGMETRICSPerformance Evaluation Review, vol. 44, no. 2, pp. 12-14, 2016.
5.Hong Xie, John C.S. Lui, Don Towsley.
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.
4.Hong Xie, John C.S. Lui.
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.
3.Hong Xie, John C.S. Lui.
Modeling eBay-Like Reputation Systems: Analysis, Characterization and Insurance Mechanism Design.
ElsevierPerformance EvaluationJournal, vol. 91, pp. 132-149, 2015.
2.Hong Xie, John C.S. Lui.
Mathematical modeling of group product recommendation with partial information: How many ratings do we need?
ElsevierPerformance EvaluationJournal, vol. 77, pp. 72-95, 2014.
1.Hong Xie, John C.S. Lui.
Modeling crowdsourcing systems: design and analysis of incentive mechanism and rating system.
SIGMETRICSPerformance Evaluation Review, vol. 42, no. 2, pp. 52-54, 2014. [1] 

謝洪會議論文

20. Ye Li,Hong Xie, Yishi Lin, John C.S. Lui.
To Be or Not To Be: Analyzing & Modeling Social Recommendation in Online Social Networks.
Proc. of IEEE International Conference on Data Mining (ICDM), 2019.
19. 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.
Proc. of IEEE International Conference on Data Engineering (ICDE), pp.962-973, 2019.
18.Hong Xie, Yongkun Li, John C.S. Lui.
Understanding Persuasion Cascades in Online Product Rating Systems.
Proc. of AAAI Conference on Artificial Intelligence (AAAI), pp.5490-5497, 2019.
17.Hong Xie, Yongkun Li, John C.S. Lui.
Optimizing Discount & Reputation Trade-offs in E-commerce Systems: Characterization and Online Learning.
Proc. of AAAI Conference on Artificial Intelligence (AAAI), pp.7992-7999, 2019.
16. Xiaoying Zhang,Hong Xie, Junzhou Zhao, John C.S. Lui.
Modeling the Assimilation Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.
Proc. of Int. Joint Conference on Artificial Intelligence (IJCAI), sister-conf. best-paper track, pp.5409-5413, 2018.
15. Xiaoying Zhang,Hong Xie, John C.S. Lui.
Sybil Detection in Social-Activity Networks: Modeling, Algorithms and Evaluations.
Proc. of IEEE International Conference on Network Protocols (ICNP), pp.44-54, 2018.
14. Ye Li,Hong Xie, John C.S. Lui.
Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models.
Proc. of IEEE International Conference on Network Protocols (ICNP), pp.324-334, 2018.
13.Hong Xie, John C.S. Lui.
A Markov Decision Process Approach to Analyze Discount & Reputation Trade-offs in E-commerce Systems.
The Workshop on MAthematical performance Modeling and Analysis (MAMA), in con. with ACM SIGMETRICS 2018.
12. Ye Li,Hong Xie, Weijie Wu, John C.S. Lui.
Mining Customer Valuations to Optimize Bundling Strategy.
Proceedings of the IEEE International Conference on Data Mining (ICDM),pp. 555-564, 2017.
11. 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.
Proc. of the Int. Conference on Database Systems for Advanced Applications (DASFAA),pp. 323-338, 2017.
10. Kechao Cai,Hong Xie, John C.S. Lui.
Generalization of Information Spreading Forensics via Sequential Dependent Snapshots.
The Workshop on MAthematical performance Modeling and Analysis (MAMA), in con. with ACM SIGMETRICS 2016.
9.Hong Xie, Richard T.B. Ma, John C.S. Lui.
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.
8.Hong Xie, John C.S. Lui.
A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems.
Proc. of the IEEE International Conference on Data Mining (ICDM),pp. 1045-1050, 2015.
7.Hong Xie, John C.S. Lui.
Modeling eBay-Like Reputation Systems: Analysis, Characterization and Insurance Mechanism Design.
Proc. of Int. Sym. on Computer Performance, Modeling, Measurements and Eval. (IFIP Performance), 2015.
6.Hong Xie, John C.S. Lui, Don Towsley.
Incentive and Reputation Mechanisms for Online Crowdsourcing Systems.
Proc. of the IEEE/ACM International Symposium on Quality and Service (IWQoS),pp. 207-212,2015.
5.Hong Xie, John C.S. Lui.
A Mechanism Approach to Reduce New Seller Ramp Up Time in eBay like Reputation Mechanisms.
Proc. of IEEE International Conference on Distributed Computing Systems (ICDCS),pp. 770-771, poster, 2015.
4.Hong Xie, John C.S. Lui, Wenjie Jiang.
Mathematical Modeling of Crowdsourcing Systems: Incentive Mechanism and Rating System Design.
Proc. of IEEE Sym. on Modeling, Analysis and Simu. of Com. and Telecom. Sys. (MASCOTS),pp. 181-186, 2014.
3.Hong Xie, John C.S. Lui, Wenjie Jiang, Wei Chen.
Incentive Mechanism and Protocol Design for Crowdsourcing Systems.
Proc. of Annual Allerton Conference on Communication, Control, and Computing, (Allerton),pp.140-147, 2014.
2.Hong Xie, John C.S. Lui.
Modeling crowdsourcing systems: design and analysis of incentive mechanism and rating system.
The Workshop on MAthematical performance Modeling and Analysis (MAMA), in con. with ACM SIGMETRICS 2014.
1. Silei Xu, Yishi Lin,Hong Xie, John C.S. Lui.
A Provable Algorithmic Approach to Product Selection Problems for Market Entry and Sustainability.
Proc. of Int. Conference on Scientific and Statistical Database Management (SSDBM),pp. 19:1--19:12, 2014. [1] 
參考資料