Email：hongx87@ustc.edu.cn
個人主頁：https://hongxie.github.io/
主要研究方向：在線學習算法及其應用（bandits, reinforcement learning等）
謝洪，男，特任研究員，IEEE、ACM、CCF會員。本科畢業於中國科學技術大學，博士畢業於香港中文大學，師從John C.S. Lui教授。主要致力於在線學習算法研究，共發表論文80餘篇，包括ICML、NeurIPS、KDD等。主持國家自然科學基金青年項目、重慶市自然科學基金項目、阿裏巴巴創新研究計劃項目等。獲CCF-A類會議INFOCOM最佳論文提名、重慶科技進步一等獎，入選重慶英才-青年拔尖人才。
獲獎情況：
2020 INFOCOM 最佳論文提名
2020 重慶英才-青年拔尖人才
2022 重慶科技進步一等獎
代表性論著：
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.
（更新於2024年1月）
