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 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 and TCSVT.

Research Interests

Model Compression: LLMs quantization.

News

[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), 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), thanks for co-authors!
[Mar. 2024] I join in HITSZ and become a first-year PhD student!

Publications

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.