Welcome to Tianao Zhang’s (张天骜) personal website!
I am currently a fourth-year undergraduate student at Shanghai Jiao Tong University (SJTU), majoring in Engineering Mechanics.
I am fortunate to be advised by Prof. Linghe Kong from the School of Computer Science, Shanghai Jiao Tong University (SJTU). I also collaborate with Prof. Yulun Zhang.
My research focuses on model compression and acceleration for Large Language Models (LLMs), with an emphasis on techniques such as binarization and post-training quantization. I am dedicated to building powerful yet resource-efficient AI systems that push the boundaries of computational efficiency. ⚡
I am always open to collaborations and academic discussions! Feel free to reach out via email at ztaztazta2785@gmail.com or via WeChat (ID:ZTAZTAZTAZTAZTA).
🔥 News
- 2026.01: 🎉🎉 Our papers Quant-dLLM and PT2-LLM have been accepted to ICLR 2026!
- 2025.11: 🎉🎉 Our team was awarded the Grand Prize at the National “Challenge Cup” Competition (挑战杯全国特等奖) for the project “Binarization Compression Technology and Application of Large Models for Edge Deployment”!
- 2025.06: 🎉🎉 Our team was awarded the Grand Prize at the Shanghai “Challenge Cup” Competition (挑战杯上海市特等奖) for the project “Novel Binarization Compression Technology for Large Language Models”!
- 2025.01: 🎉🎉 Our paper ARB-LLM has been accepted to ICLR 2025!
📝 Publications

D2Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs
Xianglong Yan1, Chengzhu Bao1, Zhiteng Li, Tianao Zhang, Shaoqiu Zhang, Ruobing Xie, Xingwu Sun, and Yulun Zhang*

Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
Tianao Zhang1, Zhiteng Li1, Xianglong Yan, Haotong Qin, Yong Guo, and Yulun Zhang*

PT2-LLM: Post-Training Ternarization for Large Language Models
Xianglong Yan1, Chengzhu Bao1, Zhiteng Li, Tianao Zhang, Kaicheng Yang, Haotong Qin, Ruobing Xie, Xingwu Sun, and Yulun Zhang*

ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li1, Xianglong Yan1, Tianao Zhang, Haotong Qin, Dong Xie, Jiang Tian, Zhongchao Shi, Linghe Kong*, Yulun Zhang*, and Xiaokang Yang
🎖 Honors and Awards
- Tongsheng Scholarship (Top 1%) 同声奖学金 (2025)
- Han Ying Ju Hua Special Achievements Scholarship (Top 1%) 含英咀华专项成就奖学金 (2025)
- Zhiyuan Honors Scholarship (Top 5%) 致远荣誉奖学金 (2023,2024,2025)
- Excellent Undergraduate Scholarship (Top 10%) 本科生优秀奖学金 (2024, 2025)
📖 Educations
- 2023.09 - now, B.Eng. at Shanghai Jiao Tong University, Shanghai, China.
- 2020.09 - 2023.06, High School, The Experimental High School Attached to Beijing Normal University, Beijing, China.
🤝 Academic Service
- Reviewer, ICLR 2027.
- Reviewer, ICLR 2026.
💻 Internships
- 2026.04 - 2026.09, Model Acceleration Group, Tencent Hunyuan.
- 2025.07 - 2025.12, AI Algorithm Engineer, Huawei.