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Chaochao Yan

Softare Engineer at Google

About me

Now I am a software engineer at Google, developing deep learning models for computer vision tasks. Part of my work is open-sourced at TensorFlow Model Garden.


Previously, I was a Ph.D. student in Computer Science from 2017 tp 2022 at the University of Texas at Arlington, USA. I have received my Ph.D. degree in 2022. My supervisor is Dr. Junzhou Huang.


I received my master's degree from the Institute of Automation, Chinese Academy of Sciences(CASIA) in 2017. I worked on 3D computer vision for my master in Robot Vision Group, National Laboratory of Pattern Recognition(NLPR). In 2014, I got my bachelor's degree from the Huazhong University of Science and Technology(HUST).


Email: chaochao.yan at mavs.uta.edu

Google Scholar

Publication

Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, and Junzhou Huang. "Gradient-Norm Based Attentive Loss for Molecular Property Prediction." BIBM 2021.

Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, and Junzhou Huang. "Hierarchical Graph Capsule Network." AAAI 2021.

Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, and Junzhou Huang. "Context-aware Domain Adaptation in Semantic Segmentation." WACV 2021.

Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang. "RetroXpert: Decompose Retrosynthesis Prediction like A Chemist." NeurIPS 2020 (pdf).

Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang. Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. ACM BCB 2020 (pdf).

Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, and Junzhou Huang. "Label-driven Reconstruction for Domain Adaptation in Semantic Segmentation." ECCV 2020.

Hehuan Ma, Chaochao Yan, Yuzhi Guo, Sheng Wang, Yuhong Wang, Hongmao Sun, and Junzhou Huang. "Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning." BIBM 2020.

Sheng Wang, Zheng Xu, Chaochao Yan, and Junzhou Huang. "Graph Convolutional Nets for Tool Presence Detection in Surgical Videos." IPMI 2019.

Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang. Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays. ACM BCB 2018 (pdf).

Internships

Nvidia, MD

Applied research intern

Worked with Shun Miao and Adam Harrison on Chest X-rays abnormalities classification and lesions localization using weakly supervised deep learning models.

Google, CA

Software engineer intern

Ads images classification with deep convolutional neural networks.

Google, CA

Software engineer intern

Working on mobile object detection with Marco Fornoni, Yin Cui, Andrew Howard, and Boqing Gong at Google Research, remotely from Texas due to the COVID-19.

PAII, MD

Research scientist intern

Working on universal lesion detection in CT volume with Ke Yan, Youbao Tang, and Jinzheng Cai at PAII, remotely from Texas due to the COVID-19.

Projects

Retrosynthesis Prediction with Deep Attention Neural Networks

May 2020. We propose a template-free deep learning framework for the retrosynthesis prediction, which is a key component of drug discovery. The proposed model achieves the state-of-the-art retrosynthesis performance and scales well to the large real-world dataset.

Thoracic Disease Classification and Localization on Chest X-rays

June 2018. We propose a weakly-supervised deep learning framework for classifying common thoracic diseases as well as localizing suspicious lesion regions on chest X-rays. The comprehensive experiments are performed on ChestX-ray14 dataset. The proposed model achieves 0.832 in average AUC score, which is the new state-of-the-art.

Education

University of Texas at Arlington

Aug 2017 - Aug 2022

Pursing Ph.D. in Computer Science

Institue of Automation, Chinese Academy of Sciences

Sept 2014 - July 2017

Master of Engineering in Computer Technology

Master thesis: Mobile 6-DOF Localization Technique for Outdoor Scene.

Huazhong University of Science and Technology

Sept 2010 - June 2014

Bachelor of Engineering in Automation

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