I am currently a Research Fellow at Nanyang Technological University (NTU), working with Prof. Kelin Xia.

Previously, I was a Research Fellow at the National University of Singapore (NUS), supervised by Prof. Xinchao Wang. I received my Ph.D. degree from Beijing University of Posts and Telecommunications (BUPT), where I was supervised by Prof. Chuan Shi. I also collaborate with Prof. Xiao Wang at Beihang University.

Research Summary (More)

My current research primarily focuses on Deep Spectral Learning.

I am interested in developing spectral tools or models with principled mathematics. Below are some representative topics and works.

• Spectral Analysis of Data: Unified Dataset Distillation (ICLR 2026), Spectral Graph Distillation (ICML 2024)

• Spectral Graph Neural Networks: Full-spectrum GNN (ICML 2026), Specformer (ICLR 2023), Frequency-adaptive GCN (AAAI 2021)

I also have some preliminary ideas in other areas. Feel free to email me if you are interested.

• Spectral Analysis of Model, e.g., Parameter-Efficient Fine-Tuning (PEFT), Model Merging

• Spectral Optimization, e.g., Muon

• Spectrum-based Applications, e.g., AI for Science

Academic Service

• Journal Reviewer: IEEE TPAMI  /  TSP  /  TIP  /  TKDE  
• Conference Area Chair: NeurIPS
• Conference Reviewer: NeurIPS, ICLR, ICML