Welcome to Hong Xie's Homepage

Hong Xie Research professor State Key Laboratory of Cognitive Intelligence Anhui Province Key Laboratory of Big Data Analysis and Application (BDAA) School of Computer Science and Technology University of Science and Technology of China (USTC) Email: xiehong2018@foxmail.com

Biography:

Hong Xie is currently a research professor at School of Computer Science and Technology, University of Science and Technology of China (USTC) . He is a member of Prof. Enhong Chen's research group. He received Ph.D. degree in the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK) in 2015, proudly under the supervision of Prof. John C.S. Lui. He received his B.Eng. degree from the School of Computer Science and Technology at USTC in 2010. Hong Xie was a postdoctoral research fellow at Department of Computing Science and Engineering, CUHK hosted by Prof. John C.S. Lui, and a postdoctoral research fellow at School of Computing, Nationial University of Singapore hosted by Prof. Richard T.B. Ma . He was also a faculty member at Chongqing University. He is a member of CCF, a member of IEEE and a member of ACM.

Research

• Research interests: Context aware online learning including contextual bandits and contextual reinforcement learning, with a special focus on the large scale setting.

Selected Publications ( full list )

• 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.
• 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.
• Liming Wang, Hong Xie*, Ye Li, Jian Tan, John C.S. Lui.
Interactive Log Parsing via Light-weight Feedback
The Web Conference (WWW) , 2023.
• 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.
• 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.
• 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)
• Hong Xie, Mingze Zhong, Xiaoyu Shi, Xiaoying Zhang, Jiang Zhong, Mingsheng Shang 
``Probabilistic Modeling of Assimilate-ContrastEffects in Online Rating Systems.''
accepted to IEEE Transactions on Knowledge and Data Engineering (TKDE) .
• Hong Xie*, John C.S. Lui 
``Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications.''
accepted to IEEE/ACM Transactions on Networking (ToN) .
• 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.
• 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.
• Ye Li, Hong Xie*, Yishi Lin and John C.S. Lui
``Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimizations.''
IEEE Transactions on Knowledge and Data Engineering (TKDE) , vol 34(9), 4410-4424, 2022.

Teaching

• 2021 Fall semester: Fundamentals of Machine Learning

Honors

• Best paper candidate, IEEE INFOCOM, 2020
• One paper fast tracked to IEEE Trans. on Mobile Computing, 2020
• Chongqing Talents: Exceptional Young Talents, 2020
• First class prize in Chongqing Science and Technology Progress(10/15),2020

Professional Services

• 2024: AAAI(TPC), IJCAI(TPC), AISTATS(TPC), ICML(TPC), ICLR(REV), WWW(Rev.), KDD(Rev.)
• 2023: AAAI(TPC), IJCAI(TPC), AISTATS(TPC), ICML(TPC), NeurIPS(TPC), ECML-PKDD(TPC)
• 2022: AAAI(TPC), IJCAI(TPC), AISTATS(REV), ICML(TPC), NeurIPS(TPC)
• 2021: AAAI(TPC)
• 2019: IEEE ASONAM (IT TPC)
• 2018: IEEE ASONAM (IT TPC)

• IEEE/ACM Transactions on Networking
• IEEE Transactions on Mobile Computing
• IEEE Transactions on Services Computing
• IEEE Transactions on Network Science and Engineering
• Elsevier Performance Evaluation Journal
• ACM Transactions on Modeling and Performance Evaluation of Computing Systems

Graduated Students

• Junpu Chen (Master 2020-2023): Zhejiang Seaport Group
• Jinyu Mo (Master 2020-2023): Alibaba
• Zhi Qi (Master 2020-2023): Meituan
• Hanxuan Xu (Master 2020-2023): in making his decision


• Qiao Tang (Master 2019-2022): SenseTime
• Pei Yi (Master 2019-2022): Alibaba
• Mingze Zhong (Master 2019-2022): University of Technology Sydney PhD


• Xiangxuan Ren (Undergraduate Intern 2021-2022): Peking University Master
• Xu Wang (Undergraduate Intern 2021-2022): KTH Royal Institute of Technology Master
• Kangle Xu (Undergraduate Intern 2020-2022): New York University Master
• Xiongxiao Xu (Undergraduate Intern 2018-2020): Illinois Institute of Technology PhD

Some useful tools

• Wolframalpha
• Matrix reference maual
• LaTex Symbol