I am a second-year master student at Mila - Québec AI Institute supervised by Prof. Jian Tang. Prior to this, I earned a master’s degree in System Engineering from the Sino-French Engineering School at Beihang University, where I was supervised by Prof Wenge Rong & Prof Yuanxin Ouyang. Additionally, I have earned a diplôme d’ingénieur from l’École Centrale de Lille in France.

I am currently looking for a PhD’s position. Please check my CV for further information.

Email: chuanrui.wang [at] mila [dot] quebec

Research Interests

My research interests lie at the intersection of generative models and scientific discovery, with a particular focus on complex structured data such as protein data.

News

• [Nov 2023] Attending NeurIPS in New Orleans. Will be presentating the PDB-Struct paper in AI for Drug Discovery workshop!
• [May 2023] Incoming poster session about our Protseed paper at the ICLR conference!

Publications

• PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design
  Chuanrui Wang, Bozitao Zhong, Zuobai Zhang, Narendra Chaudhary, Sanchit Misra, Jian Tang
  Neurips 2023 workshops on AI for Drug Discovery/Machine Learning in Structural Biology

• A Systematic Study of Joint Representation Learning on Protein Sequences and Structures
  Zuobai Zhang, Chuanrui Wang, Minghao Xu, Vijil C., Aurelie L., Payel Das, Jian Tang
  ArXiv Preprint

• Protein Sequence and Structure Co-Design with Equivariant Translation
  Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
  ICLR 2023

• KnowReQA: A Knowledge-aware Retrieval Question Answering System
  Chuanrui Wang, Jun Bai, Xiaofeng Zhang, Cen Yan, Yuanxin Ouyang, Wenge Rong, Zhang Xiong
  KSEM 2022

• Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
  Zhengda Bian, Hongxin Liu, Boxiang Wang, Haichen Huang, Yongbin Li, Chuanrui Wang, Fan Cui, Yang You
  arXiv preprint

• A new mesh smoothing method based on a neural network
  Yufei Guo, Chuanrui Wang, Zhe Ma, Xuhui Huang, Kewu Sun, Rongli Zhao
  Computational Mechanics, 2022

Personal information

• I am an avid sports enthusiast who enjoys playing football and swimming.

• I also take pleasure in watching movies.