Chenchen ZHAO 赵晨辰

About Me

I am currently a first-year Ph.D. student at the CUHK REliable Computing (CURE) Lab, the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Qiang XU. Before that, I received my master’s and bachelor’s degree at the Department of Automation, Shanghai Jiao Tong University, respectively supervised by Assoc Prof. Hao LI and Prof. Ming YANG. My current research interests span the fields of trustworthy AI systems and generative models.

Email: cczhaocharlie(at)outlook.com

Resume   Resume (Chinese)   Google Scholar   GitHub

Recent News

• [2023.07.14] Paper HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation accepted to ICCV 2023 (oral).

• [2023.07.14] Paper DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models accepted to ICCV 2023.

• [2022.01.05] Paper Condition-Invariant Physical Adversarial Attacks via Pixel-Wise Adversarial Learning won the Best Paper Award of ICONIP 2021.

Publications

• HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation (ICCV2023 oral)

  Xuan Ju*, Ailing Zeng*, Chenchen Zhao*, Jianan Wang, Lei Zhang, Qiang Xu

  code

• DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models (ICCV2023)

  Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu

  code

• Condition-Invariant Physical Adversarial Attacks via Pixel-Wise Adversarial Learning (ICONIP2021 best paper)

  Chenchen Zhao, Hao Li

  code

More

Blogs

• [2021.08.14] Discussion: the Diffie-Hellman key-exchange algorithm

• [2021.02.28] Discussion: development of R-CNN and YOLO object detectors

• [2020.12.15] Discussion: computation analysis of GradCAM++

More

Education & Research Experience

Education

• 2023.08-, Ph.D. student @ Department of Computer Science and Engineering, The Chinese University of Hong Kong

  Supervisor: Prof. Qiang XU

  Research direction: Trustworthy AI systems, generative models

  Awards: Full postgraduate studentship

• 2022.12-2023.06, Junior research assistant @ Department of Computer Science and Engineering, The Chinese University of Hong Kong

  Supervisor: Prof. Qiang XU

  Research direction: Trustworthy AI systems, generative models

• 2019.09-2022.03, Master @ Department of Automation, Shanghai Jiao Tong University

  Supervisor: Assoc Prof. Hao LI

  Research direction: Adversarial attacks and defenses

  Grade: 3.50/4.0

  Awards: First-class scholarship 2019

• 2015.09-2019.06, Bachelor @ Department of Automation, Shanghai Jiao Tong University

  Supervisor: Prof. Ming YANG

  Research direction: Object detection and orientation estimation

  Grade: 3.49/4.3; 86.4/100 (core curriculum)

• 2010.09-2015.07, Junior & senior high @ Gifted class, Northeast YuCai School

Skills

Linux, Python, Tensorflow & PyTorch, Vim

English

• CET4: 595/710

• CET6: 611/710

• TOEFL: 110/120