Email：hongx87@ustc.edu.cn
个人主页：https://hongxie.github.io/
主要研究方向：在线学习算法及其应用（bandits, reinforcement learning等）
谢洪，男，特任研究员，IEEE、ACM、CCF会员。本科毕业于中国科学技术大学，博士毕业于香港中文大学，师从John C.S. Lui教授。主要致力于在线学习算法研究，共发表论文80余篇，包括ICML、NeurIPS、KDD等。主持国家自然科学基金青年项目、重庆市自然科学基金项目、阿里巴巴创新研究计划项目等。获CCF-A类会议INFOCOM最佳论文提名、重庆科技进步一等奖，入选重庆英才-青年拔尖人才。
获奖情况：
2020 INFOCOM 最佳论文提名
2020 重庆英才-青年拔尖人才
2022 重庆科技进步一等奖
代表性论著：
1. Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C.S. Lui, Defu Lian, Enhong Chen. “Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users.” Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.
2. Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C.S. Lui, Hang Li. “Uncertainty-Aware Instance Reweighting for Off-Policy Learning.” Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
3. Liming Wang, Hong Xie*, Ye Li, Jian Tan, John C.S. Lui. “Interactive Log Parsing via Light-weight Feedback.” The Web Conference (WWW), 2023.
4. Xuchuang Wang, Hong Xie*, John C.S. Lui. “Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms.” The 39th International Conference on Machine Learning (ICML), 2022.
5. 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), 2021.
6. Tingwei Liu, Hong Xie*, and John C.S. Lui. “Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications.” International Conference on Computer Communication (INFOCOM), 2020. (Best Paper Candidate).
7. Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang. “Probabilistic Modeling of Assimilate-Contrast Effects in Online Rating Systems.” accepted to IEEE Transactions on Knowledge and Data Engineering (TKDE).
8. Hong Xie*, John C.S. Lui. “Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications.” accepted to IEEE/ACM Transactions on Networking (ToN).
9. Hong Xie, Pei Yi, Yongkun Li and John C.S. Lui. “Optimizing Random Walk Based Statistical Estimation over Graphs via Bootstrapping.” IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(3), 2916-2929, 2023.
10. Hong Xie, John C.S. Lui. “Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating & Convergence.” IEEE Transactions on Mobile Computing (TMC), 22(1): 459-471, 2023.
（更新于2024年1月）