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

NeurIPS 2026
D²Quant framework

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*

ICLR 2026
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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*

ICLR 2026
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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*

ICLR 2025
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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

🤝 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.