1. 2026.07 🎉 Our papers MuonQ and RankGuide are accepted by CoLM 2026.
2. 2025.07 🎉 Our paper LLM-Barber is accepted by IEEE/ACM ICCAD 2025.
3. 2025.05 🎉 Our paper EdgeLLM is accepted by IEEE TCAS-I: Regular Papers.
4. 2025.02 🎓 I have been admitted to the PhD program at the University of California, Santa Barbara (UCSB)!
5. 2024.09 🤝 Joined the HKU Next Gen AI (NGai) Lab as a Student RA, collaborating with PolyU Prof. Hongxia Yang’s Lab.
6. 2024.02 🎉 Our paper APTQ is accepted by IEEE/ACM DAC 2024.

★ indicates first-author work.

• ★ MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization

  Yupeng Su, Ruijie Zhang, Ziyue Liu, Yequan Zhao, Zheng Zhang

  Conference on Language Modeling (CoLM), 2026·Paper·Code·Project

• RankGuide: Tensor-Rank-Guided Routing and Steering for Efficient Reasoning

  Jiayi Tian, Yupeng Su, Ryan Solgi, Souvik Kundu, Zheng Zhang

  Conference on Language Modeling (CoLM), 2026·Paper

• Muon²: Boosting Muon via Adaptive Second-Moment Preconditioning

  Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Yequan Zhao, Yupeng Su, Zi Yang, Zheng Zhang

  arXiv preprint, 2026·Paper

• MUON+: Towards More Effective Muon via One Additional Normalization Step for LLM Pre-training

  Ruijie Zhang, Yequan Zhao, Ziyue Liu, Zhengyang Wang, Yupeng Su, Liyan Tan, Zheng Zhang

  arXiv preprint, 2026·Paper

• TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training

  Ruijie Zhang, Yequan Zhao, Ziyue Liu, Zhengyang Wang, Dongyang Li, Yupeng Su, Sijia Liu, Zheng Zhang

  arXiv preprint, 2026·Paper

• APTQ+: Attention-FFN-aware Post-Training Quantization for a Layer-wise LLM Accelerator on FPGA

  Ziyi Guan, Zhengfei Chen, Dongkuan Wu, Ao Shen, Yifan Guo, Yupeng Su, Graziano Chesi, Mingqiang Huang, Ngai Wong, Hao Yu

  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2026·Paper·Code

• ★ LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Models

  Yupeng Su, Ziyi Guan, Xiaoqun Liu, Tianlai Jin, Dongkuan Wu, Zhengfei Chen, Graziano Chesi, Ngai Wong, Hao Yu

  IEEE/ACM ICCAD, 2025·Paper·Code

• PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models

  He Xiao, Runming Yang, Qingyao Yang, Wendong Xu, Zhen Li, Yupeng Su, Zhengwu Liu, Hongxia Yang, Ngai Wong

  arXiv preprint, 2025·Paper·Code

• Quantization Meets Reasoning: Exploring and Mitigating Degradation of Low-Bit LLMs in Mathematical Reasoning

  Zhen Li, Yupeng Su, Songmiao Wang, Runming Yang, Congkai Xie, Aofan Liu, Ming Li, Jiannong Cao, Yuan Xie, Ngai Wong, Hongxia Yang

  arXiv preprint, 2025·Paper

• EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models

  Mingqiang Huang, Ao Shen, Kai Li, Haoxiang Peng, Boyu Li, Yupeng Su, Hao Yu

  IEEE TCAS-I: Regular Papers, 2025·Paper

• APTQ: Attention-Aware Post-Training Mixed-Precision Quantization for Large Language Models

  Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, Hao Yu

  ACM/IEEE DAC, 2024·Paper·Code

• 2025.07Nominee of Top Ten Graduates, Southern University of Science and Technology.
• 2025.07Guo Xie Birong Scholarship for Academic Excellence, SUSTech.
• 2025.06Top Ten Graduates of the College of Engineering, SUSTech.
• 2022–2024First-Class Merit Student Scholarship (three consecutive years), SUSTech.
• 2023.12Future Star, Ministry of Education – Huawei Smart Base Project.