Zuobai Zhang 「张作柏」

I am a first-year PhD student at Mila - Québec AI Institute supervised by Prof. Jian Tang. Before that, I received my B.S. in Computer Science from Fudan University advised by Prof. Zhongzhi Zhang. I was also a machine learning engineering intern at ByteDance Inc., where I worked on recommender systems under the supervision of Yitan Li.

Email: zuobai.zhang [at] umontreal.ca  /  zuobai.zhang [at] gmail.com

Github   /   Google Scholar   /   CV     


My research interests include graph representation learning and drug discovery.

Biharmonic Distance-Based Performance Metric for Second-Order Noisy Consensus Networks
Yuhao Yi, Bingjia Yang, Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang, Stacy Patterson
IEEE Transactions on Information Theory
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang
NeurIPS 2021
Learning Interpretable Cellular and Gene Signature Embeddings from Single-Cell Transcriptomic Data
Yifan Zhao*, Huiyu Cai*, Zuobai Zhang, Jian Tang, Yue Li
Nature Communications
Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Remo
Zuobai Zhang, Zhongzhi Zhang, Guanrong Chen
CIKM 2021
Coherence Scaling of Noisy Second-Order Scale-Free Consensus Networ
Wanyue Xu, Bin Wu, Zuobai Zhang, Zhongzhi Zhang, Haibin Kan, Guanrong Chen
IEEE Transactions on Cybernetics
Opinion Dynamics Incorporating High-Order Interactions
Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang, Guanrong Chen
ICDM 2020 (short paper)
Power-Law Graphs Have Minimal Scaling of Kemeny Constant for Random Walks
Wanyue Xu, Yibin Sheng, Zuobai Zhang, Haibin Kan, Zhongzhi Zhang
WWW 2020
Fast Approximation of Coherence for Second-Order Noisy Consensus Networks
Zuobai Zhang, Wanyue Xu, Yuhao Yi, Zhongzhi Zhang
IEEE Transactions on Cybernetics
Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph
Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang
WSDM 2020
TorchDrug: A powerful and flexible machine learning platform for drug discovery.

A machine learning platform designed for drug discovery, covering techniques from graph machine learning, deep generative models to reinforcement learning.

[Homepage] [Github] [Twitter]

Outstanding Undergraduates Graduates of Shanghai, Jun. 2021

Scholarships for Outstanding Academic Individuals at Fudan University, Dec. 2020

Shanghai Scholarship (Top 1%), Oct. 2020

SenseTime Scholarship (29 undergrads from China), Jan. 2020

Chinese National Scholarship (Top 1%), Oct. 2019

Wish Scholarship, May 2019

Chun Tsung Scholar Program, Apr. 2019

Chinese National Scholarship (Top 1%), Oct. 2018

Gold Medal, ACM-ICPC Asia Regional Contest EC-Final, Dec. 2017

Gold Medal, ACM-ICPC Asia Regional Contest Qingdao Site, Nov. 2017

Silver Medal, National Olympiad in Informatics, National Finals, Jul. 2016

Updated at Sept. 2021