Yinpeng Dong  

Ph.D. Candidate

Room 1-509, FIT Building
Dept. of Computer Science and Technology
Tsinghua University
Beijing, China, 100084

Email: dyp17@mails.tsinghua.edu.cn; dongyinpeng@gmail.com
Github: dongyp13
[Curriculum Vitae] [Google Scholar]


I am a final-year Ph.D. student of TSAIL Group in the Department of Computer Science and Technology, Tsinghua University, advised by Prof. Jun Zhu. I also collaborate with Prof. Hang Su and Prof. Xiaolin Hu closely.

I was a visiting student from June, 2016 to September, 2016 in the Robotics Institute, Carnegie Mellon University, advised by Prof. Fernando De la Torre. I was a research intern in 2017 at Intel Labs China, collaborating with Dr. Jianguo Li. I was a research intern from July, 2018 to September, 2018 at Tencent AI Lab. I was an intern under the NVAIL program of NVIDIA from 2017 to 2020.

My research interest includes machine learning, deep learning and their applications in computer vision. Recently, I am interested in adversarial robustness of deep learning.

My research is supported by Tsinghua Future PhD, MSRA, Baidu, ByteDance Fellowships.




Organizer for:
ICML 2021 Workshop on A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning
ICCV 2021 Workshop on Adversarial Robustness in the Real World
CVPR 2021 Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems and Online Challenges (AML-CV)

Reviewer for:
TPAMI 2019, 2020, 2021
IJCV 2021
TIP 2019, 2020, 2021
TNNLS 2019, 2020
NeurIPS 2016, 2019, 2020, 2021
ICML 2019, 2021
CVPR 2019, 2020, 2021
ICLR 2020, 2021, 2022
ICCV 2019, 2021
ECCV 2020
AAAI 2019, 2020, 2021
IJCAI 2019, 2020

Honors & Awards


2019 spring, Head TA in Statistical Machine Learning, instructed by Prof. Jun Zhu Last update: July 2021 by Yinpeng Dong