Zhishuai Zhang

Zhishuai Zhang

Software Engineer in Waymo

Waymo LLC

I am a software engineer in Waymo. Before that, I obtained Ph.D. in Computer Science from the Johns Hopkins University, under the supervision of Prof. Alan Yuille, as a member of Computational Cognition, Vision, and Learning. I obtained Bachelor of Engineering in the Computer Science Department at the University of Science and Technology of China.

Interests

  • Autonomous Driving
  • Computer Vision

Education

  • PhD in Computer Science

    Johns Hopkins University

  • BE in Computer Science, 2016

    University of Science and Technology of China

Experience

 
 
 
 
 

Software Engineer

Waymo

Sep 2020 – Present Mountain View
 
 
 
 
 

Software Engineering Intern

Waymo

May 2019 – Dec 2019 Mountain View
 
 
 
 
 

Research Intern

Facebook

Jun 2018 – Aug 2018 Menlo Park
 
 
 
 
 

Research Assistant

Johns Hopkins University

Aug 2016 – Aug 2020 Baltimore
 
 
 
 
 

Research Intern

Yitu Tech

Jul 2015 – Oct 2015 Shanghai

Publications

STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Robust Face Detection via Learning Small Faces on Hard Images

Winter Conference on Applications of Computer Vision (WACV) 2020

Compositional Convolutional Networks For Robust Object Classification under Occlusion

Winter Conference on Applications of Computer Vision (WACV) 2020

Learning Transferable Adversarial Examples via Ghost Networks

AAAI Conference on Artificial Intelligence (AAAI) 2020

Lesion Detection by Efficiently Bridging 3D Context

International Workshop on Machine Learning in Medical Imaging (MLMI) 2019

Improving Transferability of Adversarial Examples with Input Diversity

Conference on Computer Vision and Pattern Recognition (CVPR) 2019

Deep Co-Training for Semi-Supervised Image Recognition

European Conference on Computer Vision (ECCV) 2018

Gradually Updated Neural Networks for Large-Scale Image Recognition

International Conference on Machine Learning (ICML) 2018

Single-Shot Object Detection with Enriched Semantics

Conference on Computer Vision and Pattern Recognition (CVPR) 2018

DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion

Conference on Computer Vision and Pattern Recognition (CVPR) 2018

Mitigating Adversarial Effects Through Randomization

International Conference on Learning Representations (ICLR) 2018

Adversarial Examples for Semantic Segmentation and Object Detection

International Conference on Computer Vision (ICCV) 2017

Detecting Semantic Parts on Partially Occluded Objects

British Machine Vision Conference (BMVC) 2017

Unsupervised learning of object semantic parts from internal states of CNNs by population encoding

arXiv

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