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Hong Xie
Update  :   2021-07-30    Read  :  

Hong Xie


Email: xiehong2018@cqu.edu.cn

Hong Xie is currently a researcher at College of Computer Science, Chongqing University, supported by one hundred talents program of Chongqing University.  He completed his Ph.D. degree in the Department of Computer Science and Engineering at The Chinese University of Hong Kong 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 The University of Science and Technology of China in 2010.  He was a postdoctoral research fellow at Department of Computing Science and Engineering, The Chinese University of Hong Kong working closely with Prof. John C.S. Lui.  He was also a postdoctoral research fellow working closely with Prof. Richard T.B. Ma , at School of Computing, National University of Singapore. He is a member of IEEE and a member of ACM.

Selected Publication(*Corresponding Author)                                                               

1、Qiao Tang, Hong Xie*, Yunni Xia, Jia Lee, Qingsheng Zhu, “Robust Contextual Bandits via Bootstrapping”, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), to appear, 2021. (CCF-A)

2、Pei Yi, Hong Xie*, Yongkun Li and John C.S. Lui, "A Bootstrapping Approach to Optimize Random Walk Based Statistical Estimation over Graphs", IEEE International Conference on Data Engineering (ICDE), to appear, 2021. (CCF-A)

3、Tingwei Liu, Hong Xie*, John C.S. Lui. Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications. International Conference on Computer Communication (INFOCOM),2020. Best paper candidate. (CCF-A)

4、Xiaoying Zhang, Hong Xie, Hang Li and John C.S. Lui, "Conversational Contextual Bandits: Algorithm and Application", The Web Conference (WWW), 2020. (CCF-A)

5、Hong Xie, Yongkun Li, John C.S. Lui., Understanding Persuasion Cascades in Online Product Rating Systems, AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF-A)

6、Hong Xie, Yongkun Li, John C.S. Lui., Optimizing Discount & Reputation Trade-offs in E-commerce Systems: Characterization and Online Learning., AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF-A)


1、National Natural Science Youth Foundation of China: Research on Reputation Systems with Dynamic Evolving Ratings. (PI)

Professional Activities                                                                        

Member of IEEE

Member of ACM