Zhongyue (Jerry) Zhang

Research Engineer

Amazon AI, East Palo Alto, CA


Bio

I'm a Research Engineer working on deep learning and computer vision at Amazon AI. Before joining Amazon AI, I developed Echo Look and Amazon Cloud Cam's deep learning model at Amazon Lab126's computer vision/machine learning team. I received my bachelor degree in computer science from University of Washington in 2015. I have also worked with sparse data during my two internships at Google, and Amazon.

Publications

ResNeSt: Split-Attention Network
Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alex Smola
arXiv   PyTorch   MXNet

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu
Journal of Machine Learning Research (JMLR), 2020
arXiv   JMLR   code

Bag of Freebies for Training Object Detection Neural Networks
Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
arXiv   code

Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
arXiv   code

Context Encoding for Semantic Segmentation
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Taygi, Amit Agarwal
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Oral)
arXiv   CVPR   code

Megaman: scalable manifold learning in python
James McQueen, Marina Meila, Jake VanderPlas, Zhongyue Zhang
Journal of Machine Learning Research (JMLR), 2016
arXiv   JMLR   code

Software

Megaman: a scalable manifold learning in python
Gluon-CV: a Deep Learning Toolkit for Computer Vision
AutoGluon: AutoML Toolkit for Deep Learning

HTML Counter unique visitors since Dec 2017