1 基本信息

姓 名： 谢洪

性 别： 男

职 称： 研究员(硕导/博导)

职 务：

电 话：

办公地点： 主教1605

E-mail： xiehong2018@cqu.edu.cn

研究方向： 数据科学、机器学习

招生信息： 招收计算机/电子信息类、数学统计类等专业。 

欢迎报考硕士、博士研究生！请提前邮件联系。欢迎本科生参与课题研究。

课题组既有偏机器学习算法设计的课题，又有偏机器学习应用的课题。 

2 个人简介：

谢洪目前是重庆大学百人计划特聘研究员。于2018年12月加入重庆大学计算机学院。2020年入选重庆英才-青年拔尖人才。获CCF-A类会议IEEE INFOCOM 2020最佳论文提名。中国科学技术大学计算机学士。香港中文大学计算机博士，师从John C.S. Lui. 教授。新加坡国立大学博士后（导师 Richard T.B. Ma 教授）、香港中文大学博士后（导师 John C.S. Lui 教授）。

3 研究兴趣：

数据科学、机器学习。更具体而言，设计(统计)机器学习模型与算法解决源自于推荐系统、社交网络、分布式系统等应用中的数据科学问题（尤其关注序列数据相关问题）。

4 教学

2021秋季：机器学习基础

5 学生培养（部分，按姓氏排名，持续更新中）

唐巧（学硕，1篇CCF-A会议，1篇CCF-B会议，海康威视研究院）

易沛（专硕，1篇CCF-A会议，阿里巴巴）

钟铭泽（学硕，1篇CCF-A会议）

许雄肖（本科生，1篇CCF-B类期刊）

6 学术成果: (* 代表通讯作者)

会议论文

32. Qiao Tang, Hong Xie*. 
     A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning..
     IEEE International Conference on Data Mining  (ICDM), 2021. (接收率：9.9%)

31. Mingze Zhong, Hong Xie*, Qingsheng Zhu.  
     Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application..
     ACM SIGKDD Conference on Knowledge Discovery and Data Mining  (KDD), [ CCF-A ], 2021. (接收率：15.4%)

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

29. Qiao Tang, Hong Xie*, Yunni Xia, Jia Lee, Qingsheng Zhu. 
     Robust Contextual Bandit via Bootstrapping.
     Thirty-Fifth AAAI Conference on Artificial Intelligence  (AAAI), [ CCF-A ], 2021.

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

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

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

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

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

23. Tingwei Liu, Hong Xie*, John C.S. Lui. 
     Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applicationss.
     Internationa Conference on Computer Communication (INFOCOM), [ CCF-A ], 2020.
     Best Paper Candidate
     Fast tracked to IEEE Transactions on Mobile Computing (CCF-A)

22. Xiaoying Zhang, Hong Xie, Hang Li, John C.S. Lui. 
     Conversational Contextual Bandits: Algorithm and Application..
     The Web Conference (WWW), [ CCF-A ],2020.

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

20. 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, [ CCF-A ], 2019.

19. 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, [ CCF-A ], 2019.

18. 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, [ CCF-A ], 2019.

17. 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), short paper, 2019.

16. Xiaoying Zhang,Hong Xie, Junzhou Zhao, John C.S. Lui.
     Modeling the Assimilation Contrast Effects in Online Product Rating Sys.: Debiasing and Recommendations.  
     Proc. of Int. Joint Conf. 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.
     Workshop on MAthematical per. 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 per. 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, short paper, 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, short paper, 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 paper, 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), short paper, 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 per.e 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.

期刊论文

22.Xiongxiao Xu, Hong Xie*, John C.S. Lui.
     Generalized Contextual Bandits With Latent Features: Algorithms and Applications.
     Accepted to IEEE Transactions on Neural Networks and Learning Systems(TNNLS),2021. 一作本科生

21.Hong Xie, John C.S. Lui.
     A Reinforcement Learning Approach to Price Cloud Resources with Provable Convergence Guarantees.
     Accepted to IEEE Transactions on Neural Networks and Learning Systems(TNNLS),2021.

20.Hong Xie, John C.S. Lui.
     Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating & Convergence.
     Accepted to IEEE Transactions on Mobile Computing(TMC), [ CCF-A ]， 2021.

19. Tingwei Liu, Hong Xie*, John C.S. Lui.
     Online Zero-Cost Learning: Optimizing Large Scale Network Rare Threats Simulation.
     Accepted to IEEE Transactions on Mobile Computing(TMC), [ CCF-A ]， 2021.

18. 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.
     Accepted to ACM Transactions on Knowledge Discovery from Dat(TKDD), 2021.

17.Hong Xie, Mingze Zhong, Yongkun Li, John C.S. Lui.
     Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis and Inference.
     Accepted to ACM Transactions on Knowledge Discovery from Data (TKDD),2020.

16.Ye Li,Hong Xie*, Yishi Lin, John C.S. Lui.
     Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization.
     Accepted to IEEE Transactions on Knowledge and Data Engineering (TKDE), [ CCF-A ],2020.

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

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

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

12.Xiaoying Zhang, Hong Xie*, Junzhou Zhao, John C.S. Lui. 
     Understanding Assimilation-Contrast Effects in Online Rating Systems: Modeling, Debiasing and Applications.
    ACM Transactions on Information Systems (TOIS), vol. 38(1), [ CCF-A ],2020.

11.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 Transactions on Internet Technology (TOIT), vol. 19(4), 2019.

10.Hong Xie, John C.S. Lui.
     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.

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, [ CCF-A ],2018.

8.Hong Xie, John C.S. Lui.
     Incentive Mechanism and Rating System Design for Crowdsourcing Sys.: 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.  
     SIGMETRICS Performance 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 Per. Eva. of Computing Systems (TOMPECS), vol. 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.
     Elsevier Performance Evaluation Journal, vol. 91, pp. 132-149, 2015.

2. Hong Xie, John C.S. Lui.
     Mathematical modeling of group product recommendation with partial info.n: How many ratings do we need?.
     Elsevier Performance Evaluation Journal, 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.
     SIGMETRICS Performance Evaluation Review, vol. 42, no. 2, pp. 52-54, 2014.