Tianshi Xu

Tianshi Xu

Second-Year PhD student

Peking University

Biography

Tianshi Xu is now a second-year Ph.D. student advised by Prof. Meng Li at Peking University. He is an incoming research intern at Microsoft Research (Asia), currently exploring the mathematical reasoning capabilities of large language models (LLMs).
Prior to this, his research focused on efficient and privacy-preserving deep learning, with publications at NeurIPS, USENIX Security, and other top venues. He received his bachelor’s degree from Beihang University as an Outstanding Graduate in Beijing, ranking 1st out of 189 in his major. He always keeps trying and makes progress 😉.

Interests
  • LLM Reasoning for Math
  • Efficient Deep Learning
  • Privacy-Preserving AI
Education
  • PhD in Artificial Intelligence, 2023-

    Peking University

  • BE in Software Engineering, 2019

    Beihang University

Experience

 
 
 
 
 
Peking University
PhD Candidate
September 2023 – Present Beijing, China

Research Interests:

  • Efficient Deep Learning
  • Privacy-Preserving AI
 
 
 
 
 
Beihang University
Undergraduate
September 2019 – June 2023 Beijing, China
Majoring in Software Engineering with Rank 1/189.

Accomplish­ments

Peking University
Boya (博雅) Scholarship
Sponsored by Peking University Alumni Association
Peking University
Excellent Research Award
National Scholarship (国家奖学金)
Top 1/189 in the School of Software.
Merit Student in Beijing
Top 2/189 in the School of Software.
SAMSUNG
SAMSUNG Scholarship
Top 11 in all 3815 undergraduates, sponsored by Beihang University and SAMSUNG.

Recent Publications

Quickly discover relevant content by filtering publications.
(2024). PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. ICCAD 2024.

Paper Link

(2024). FastQuery: Communication-efficient Embedding Table Query for Private LLM Inference. DAC 2024.

PDF Paper Link

(2024). PrivCirNet: Efficient Private Inference via Block Circulant Transformation. NeurIPS 2024.

PDF Code Paper Link

Photos

Contact

Feel free to contact me! I’m always happy to discuss or collaborate!

  • tianshixu@stu.pku.edu.cn
  • Peking university, No.5 Yiheyuan Road, Beijing, Haidian District 100871
  • Resource West Building Second Floor