谢洪 - 重庆大学 - 计算机学院

个人简介

招生信息：年度招收博士1名，硕士3名，招收计算机类、电子信息类、数学统计类等专业。欢迎报考硕士、博士研究生！名额充足，请提前联系。欢迎本科生加入课题组。课题组既有偏理论的课题（比如机器学习前沿算法设计与分析），又有偏应用的课题（比如机器学习在推荐系统、社交网络等中的应用）。根据学生兴趣，选择合适的课题。课题组与国内外高校比如香港中文大学、新加坡国立大学、中国科学技术大学等高校以及微信、字节跳动等公司具有深入的合作。努力为学生去国内外深造或者进工业界提供指导与平台。个人简介：谢洪是重庆大学百人计划特聘研究员。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（ACM Fellow，IEEE Fellow）。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）。获得CCF-A类会议INFOCOM 2020 best candidate。主持国家自然科学基金青年项目、重庆大学百人计划启动项目等。发表论文30余篇，包括10篇ACM/IEEE Transactions期刊（3篇CCF-A），和20余篇知名国际会议（6篇CCF-A）。研究兴趣：（在线）机器学习理论、算法及其应用。应用包括推荐系统、网络、群智系统、电子商务等。

研究领域

研究方向：机器学习、数据科学

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

期刊论文 15.Ye Li,Hong Xie*,John C.S. Lui,Ken Calvert. Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. Accepted to IEEE/ACM Transactions on Networking (ToN),2020. ( CCF-A ) 14.Hong Xie,Yongkun Li, John C.S. Lui. A Reinforcement Learning Approach to Optimize Discount & Reputation Trade-offs in E-commerce Systems. Accepted to ACM Transactions on Internet Technology (TOIT),2020. 13.Hong Xie, John C.S. Lui. Mining Deficiencies of Online Reputation Systems: Methodologies, Experiments and Implications. Accepted to IEEE Transactions on Services Computing (TSC), 2017.DOI:http://dx.doi.org/10.1109/TSC.2017.2730206. 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), 2020. ( CCF-A ) 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, 2018.( CCF-A ) 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. 会议论文 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), 2020. ( CCF-A ) Best Paper Candidate 22. Xiaoying Zhang, Hong Xie, Hang Li, John C.S. Lui. Conversational Contextual Bandits: Algorithm and Application.. The Web Conference (WWW), 2020. ( CCF-A ) 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), 2020. ( CCF-A ) 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, 2019.( CCF-A ) 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, 2019.( CCF-A ) 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, 2019.( CCF-A ) 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), 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, 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 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.

学术兼职

担任过多个CCF推荐国际学术会议程序委员会委员，和多个ACM/IEEE Transactions期刊的审稿人。