Email：hongx87@ustc.edu.cn
个人主页：https://hongxie.github.io/
主要研究方向：强化学习、大模型智能体、科学智能。
谢洪，男，特任研究员，IEEE、ACM、CCF会员。目前在陈恩红教授团队，是认知智能全国重点实验室骨干。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100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. Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian*, Hong Xie*, Enhong Chen, Xijie Liang, Zhengzengrong, Patrick Lee GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data. The Fourteenth International Conference on Learning Representations ( ICLR ), 2026.
2. Hongyi Xie, Min Zhou*, Qiao Yu, jialiang Yu, Zhenli sheng, Hong Xie*, Defu Lian M2-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for ReliableCloud Infrastructure Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), applied data science track, Artifact Badge Award, 2025.
3. 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.
4. Liming Wang, Hong Xie*, Ye Li, Jian Tan, John C.S. Lui. “Interactive Log Parsing via Light-weight Feedback.” The Web Conference (WWW), 2023.
5. 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.
6. 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.
7. 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).
8. 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).
9. Hong Xie*, John C.S. Lui. “Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications.” accepted to IEEE/ACM Transactions on Networking (ToN).
10. 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.
【更新于2026年3月】