Welcome to my homepage!

I am a Ph.D. student at the University of Illinois at Urbana-Champaign, where I am fortunate to be advised by Prof. Hanghang Tong. Prior to this, I obtained my bachelor’s degree in Software Engineering from Tsinghua University.

My research interests include Multi-modal Learning, Efficient Deep Learning, and Graph Learning.

News

• [Sep 2025] Graduated from Tsinghua University and started my Ph.D. at UIUC! 🎓
• [Aug 2025] Our two papers were accepted by CoRL 2025! 🎉
• [Nov 2024] Honored to be selected as a Top Reviewer at NeurIPS 2024!
• [Oct 2024] Grateful to be awarded the National Scholarship! 🎓
• [Oct 2024] Happy to receive the NeurIPS 2024 Travel Award! 🏅
• [Sep 2024] Our paper "DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs" was accepted by NeurIPS 2024 as an oral! 🎉🎉🎉
• [Jun 2024] Happy to receive the ICML 2024 Travel Award! 🏅
• [May 2024] Our paper "SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter" was accepted by ICML 2024! 🚀

Publications

(* denotes equal contribution)

• Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs.
  Haokun Lin*, Haobo Xu*, Yichen Wu, Ziyu Guo, Renrui Zhang, Zhichao Lu, Ying Wei, Qingfu Zhang, Zhenan Sun.
  arXiv, 2025.
  [Paper]
• Elucidating the Design Space of Torque-aware Vision-Language-Action Models.
  Zongzheng Zhang*, Haobo Xu*, Zhuo Yang*, Chenghao Yue, Zehao Lin, Huan-ang Gao, Ziwei Wang, Hao Zhao.
  9th Annual Conference on Robot Learning (CoRL), 2025.
  
• RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation.
  Zongzheng Zhang*, Chenghao Yue*, Haobo Xu*, Minwen Liao, Xianglin Qi, Huan-ang Gao, Ziwei Wang, Hao Zhao.
  9th Annual Conference on Robot Learning (CoRL), 2025.
  
• DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  Haokun Lin*, Haobo Xu*, Yichen Wu*, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei.
  The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. [Oral, acceptance rate≈0.4%]
  [Paper] [Code] [QBitAI/量子位] [Project]
• SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter.
  Haobo Xu*, Yuchen Yan*, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong.
  Forty-first International Conference on Machine Learning (ICML), 2024.
  [Paper] [Code]

Services

• Program Committee/Reviewer: IEEE BigData 2023, AAAI 2024, NeurIPS 2024, AAAI 2025, ICLR 2025, AISTATS 2025, ICML 2025, NeurIPS 2025, AAAI 2026, AISTATS 2026.

Awards

• Excellent Graduate, Tsinghua University（清华大学优良毕业生）, 2025.
• NeurIPS 2024 Top Reviewer Award.
• China National Scholarship（国家奖学金）, 2024.
• NeurIPS 2024 Scholar Award.
• ICML 2024 Travel Award.
• Comprehensive Excellence Award, Tsinghua University (2021 - 2024).
• First Prize in National Olympiad in Informatics in Provinces (NOIP) of China (2017, 2018).
• First Provincial-level in Chinese Physics Olympiad (2018, 2019).