CV

Education

• Ph.D in Computer and Information Engineering, School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 2028 (expected)
  • Supervisor: Prof. Zhi-Quan Luo
• B.S. in Information and Computing Science, School of Mathematics and Statistics, Beijing Jiaotong University, 2023
  • Supervisor: Prof. Naihua Xiu

Work experience

• Dec. 2025 to now: Research Assistant
  • Shenzhen Loop Area Institute
  • Large Language Model, Quantization
  • Mentor: Prof. Congliang Chen
• Sep. 2023 to now: Collaborative PhD Student
  • Shenzhen Research Institution of Big Data
  • Optimization, 5G, Deep Learning
  • Supervisor: Prof. Qingjiang Shi, Prof. Ye Xue
• Jan. 2022 to now: Co-supervision Student
  • ZeroLab, Peking University
  • Deep Learning
  • Supervisor: Prof. Zhouchen Lin
• Aug. 2022 to Jun. 2023: Algorithm Engineer
  • Baidu Inc.
  • Computer Vision and Image Processing
  • Mentor: Dr. Zhengyang Shen
• Aug. 2021 to Jun. 2022: Algorithm Engineer
  • Pingan Tech.
  • Data Privacy and Federated Learning
  • Mentor: Dr. Chenyu Huang

Publications

Relaxation-Free Min-\(k\)-Partition for PCI Assignment in 5G Networks

ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-\(k\)-Cut Problems

Affine Steerable Equivariant Layer for Canonicalization of Neural Networks

Affine Equivariant Networks Based on Differential Invariants

Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks

A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy

Talks

Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks

August 19, 2025

Tutorial at MIMO Seminar, Tsinghua University, Beijing, China

ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems

May 19, 2025

Talk at MOS 2025, Shanghai, China

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams