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.

News

• 2026.09 Awarded the Presidential Postdoctoral Fellowship (PPF).
• 2026.05 Three papers accepted to ICML 2026.
• 2026.02 One paper accepted to CVPR 2026.
• 2026.01 One paper accepted to ICLR 2026.

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 work on generative models and their post-training on scientific data.

• Generative Models for Science: Graph-GRPO (ICML 2026)

Beyond that, I have preliminary ideas on the spectral analysis of LLMs, including parameter-efficient fine-tuning (PEFT), model merging, and spectral optimization (e.g., Muon). Feel free to email me if you are interested.

Academic Service

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

Supervised Students

• Yang Liu KDD 2025ICML 2024
  Master, BUPT→InclusionAI (Ling Team)
• Baoheng Zhu ICML 2026
  Bachelor, BUPT→Ph.D., HKUST(GZ)
• Xiaohan Wang ICML 2026
  Ph.D., NTU