Jiaqi Zhao (赵家奇)

About Me

I was born in a happy family in 1998 and my hometown is Suihua, a beautiful city of Heilongjiang Province, China.

I’m a second-year Ph.D. candidate in Computer Science and Technology at Harbin Institute of Technology (Shenzhen) (HITSZ) under the supervision of Prof. Miao Zhang. Before HITSZ, I received my banchelor’s degree in Jun. 2020 and master’s degree in Jun. 2023 under the supervision of Prof. Yunzhou Zhang both at Northeastern University (Shenyang, China). Currently I am a visiting PhD student at LV-Lab at National University of Singapore supervised by Prof. Shuicheng Yan.

My research focuses on Model Quantization, especially for Large Language Models.

I also serve as ACL Member and the reviewer for several conferences and journals such as NeurIPS, ICLR, ICML, ACL, EMNLP, AAAI and TCSVT.

[Nov. 2025] I join in LV-Lab at NUS as a visiting PhD student!
[Aug. 2025] One first author paper has been accepted by IEEE TPAMI (Core A*, CCF-A, Q1), thanks for co-authors!
[Jun. 2025] I pass the qualifying exam and become a PhD candidate!
[May. 2025] One first-author paper has been accepted by ACL 2025 (Core A*, CCF-A) @ Vienna, thanks for co-authors!
[Feb. 2025] Two first-author papers has been published on Arxiv.
[Aug. 2024] It’s my first time to go abroad (Bangkok, Thailand) and give an oral&poster presentation at an international academic conference (ACL 2024). What an amazing experience!
[May. 2024] One first-author paper has been accepted by ACL 2024 (Core A*, CCF-A) @ Bangkok, thanks for co-authors!
[Mar. 2024] I join in HITSZ and become a first-year PhD student!

A Unified and Learnable Framework to Post-training Quantization for Transformer-based Large Foundation Models

Jiaqi Zhao, Chao Zeng, Ming Wang, Linxuan Han, Yuzhang Shang, Miao Zhang*, Liqiang Nie.

IEEE TPAMI, Aug. 2025.
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models

Jiaqi Zhao, Miao Zhang*, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang.

ACL 2025 (Main), May. 2025.
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models

Jiaqi Zhao, Miao Zhang*, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie.

ACL 2024 (Main, Oral), May. 2024.