Students

Undergraduate Students

Qizhou Guo (B.E., Jun. 2019), graduate student at Tsinghua University, Shenzhen, China. Thesis: Two Way Source Coding With a Helper.
Quan Lin (B.E., Jun. 2019), graduate student at Southeast University, Wuxi, China. Thesis: Research on Facial Detection Algorithms.
Tianyi Wang (B.Sc., Jun. 2019). Thesis: Common Information in Gray-Wyner Source Coding System.
Yanrun Chen (B.E., Jun.2020, co-supervised with Dr. Jian Lu), graduate student at Southeast University, Nanjing, China. Thesis: Research on Change Point Detection of HMM Model.
Hongyan Xu (B.E., Jun. 2020, co-supervised with Dr. Jian Lu), graduate student at New York University, New York, USA. Thesis: Real-Time Face Detection Based on Deep Learning.
Haoyu Sun (B.E., Jun. 2020, co-supervised with Prof. Liuguo Yin), graduate student at Tsinghua University, Beijing, China. Thesis: Research on Distributed Parallel Computing Technology Based on Coding.
Yong Dong (B.E., Jun. 2020), graduate student at Southeast University, Nanjing, China. Thesis: Polymatroid Structure of MIMO Broadcast Channel.
Han Wang (B.E., Jun. 2020), graduate student at Southeast University, Nanjing, China. Thesis: Optimization of Coded Caching Mechanism.
Shuaipeng Wei (B.E., Jun. 2020), Huahang High Tech Technology Company, Beijing, China. Thesis: Universal Reinforcement Learning via Context Tree Weighting.
Jiangao Zhu (B.E., Jun. 2020). Thesis: Data Shuffling Strategies in Large-Scale Distributed Learning.
Ziyu Chen (B.E., Jun. 2021), graduate student at Nanyang Technological University, Singapore. Thesis: The Gaussian Wiretap Channel With Amplitude and Variance Constraints.
Jiayuan Chen (B.E., Jun. 2022), graduate student at the Ohio State University, Columbus, Ohio, United States. Thesis: Research on Residual Connected Graph Neural Netwoks.
Boyu Zhang (B.E., Jun. 2022), graduate student at University of California, Los Angeles, California, United States. Thesis: Deep Learning for Action Quality Accessment of Videos.
Yuanming Liu (B.E., Jun. 2023). Thesis: Information Bottleneck for Task Oriented Semantic Communication.
Xiang Li (B.E., Jun. 2024), PhD student at the Chinese University of Hong Kong, Hong Kong, China. Thesis: The Rate-Distortion Function of a Two-Way Source Coding Problem.
Xuanzhe Li (B.E., Jun. 2025, co-supervised with Dr. Yuancheng Wang). Thesis: Adaptive Vibrato Analysis Algorithm and Integration for Pipa.

Postgraduate Students

Yong Dong (M.Sc., Jun. 2023, co-supervised with Prof. Yili Xia), PhD student at University of California, Irvine, California, United States. Thesis: Application of Improper Signals and Numerical Methods in Secrecy Capacity of Channels.
Wenqiang Luo (M.E., Jun. 2023, co-supervised with Prof. Qiao Wang), PhD student at City University of Hong Kong, Hong Kong, China. Thesis: Research on Federated Learning Algorithm Based on Imbalanced Data.
Yi Kong (M.Sc., Jun. 2024, co-supervised with Dr. Fei Yu), Alibaba Group Holding Limited, Hangzhou, China. Thesis: Efficient Communication Optimization Algorithms Research in Federated Learning.
Tong Liu (M.E., Jun. 2024, co-supervised with Dr. Fei Yu), China Mobile Jiangsu Company Nanjing Branch, Nanjing, China. Thesis: Research on Federated Learning Algorithm Based on Heterogeneous Data.

Doctoral Students

Jia Ye (Ph.D., Jan. 2024, co-supervised with Prof. Qiao Wang), Faculty at Shenzhen Polytechnic University, Shenzhen, China. Thesis: Research on Sequential Change Point Detection With Applications in High-Dimensional Streaming Data and Sensor Networks.
Guojun Chen (Ph.D., May 2024, co-supervised with Prof. Tiecheng Song), Hangzhou Research Institute of Huawei Technologies Co. Ltd., Hangzhou, China. Thesis: Research on Information Compression and Fusion Technology in Intelligent Edge Network.