Zhihang Ren
peter [dot] zhren [at] berkeley [dot] edu
I am a Research Affiliate at the Whitney Laboratory. I completed my Ph.D. at Vision Science and Berkeley AI Research (BAIR), UC Berkeley, co-advised by Prof. Stella Yu and Prof. David Whitney. Before joining UC Berkeley, I received my Master's Degree in Electrical and Computer Engineering at University of California, San Diego, co-advised by Prof. Nuno Vasconcelos and Prof. Bhaskar D. Rao. I received my Bachelor's Degree at University of Electronic Science and Technology of China (UESTC) and Bachelor's Degree with Honours at University of Glasgow, advised by Prof. Shuaicheng Liu.
My research interests include: image and video processing, machine learning, computer vision, AI for health, and human vision. I am looking for research assistants in deep learning or computer vision. Please send me an email with your CV and transcript if you are interested.
News
- [May. 2024] Two papers are accepted by CVPR 2024 Workshop!
- [May. 2024] One paper is early accepted (top 11%) by MICCAI 2024!
- [Feb. 2024] Two abstracts are accepted by VSS 2024!
- [Oct. 2023] One paper is accepted by IEEE/CVF WACV 2024!
- [June. 2023] One journal paper is published on Journal of Medical Imaging!
- [May. 2023] One journal paper is published on Diagnostics!
- [Feb. 2023] Two abstracts are accepted by VSS 2023! One abstract is selected as Oral presentation.
Publications
SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)
Zhihang Ren, Yunqi Li*, Xinyu Li*, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborty, Yunhui Guo, Stella X. Yu, David Whitney
*Equal Contribution
the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024
[ Project Page ] [ Preprint ] [ Paper ] [ Code ] [ Poster ] [ BibTex ]
Region-Based Emotion Recognition via Superpixel Feature Pooling
Zhihang Ren, Yifan Wang, Tsung-Wei Ke, Yunhui Guo, Stella X. Yu, David Whitney
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) Workshop, 2024
BEAT: Berkeley Emotion and Affect Tracking Dataset
Zhihang Ren, Jefferson Ortega, Yunhui Guo, Stella X. Yu, David Whitney
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) Workshop, 2024
[ Project Page ] [ Paper ] [ Poster ] [ BibTex ]
VEATIC: Video-based Emotion and Affect Tracking in Context Dataset
Zhihang Ren*, Jefferson Ortega*, Yifan Wang*, Zhimin Chen, Yunhui Guo, Stella X. Yu, David Whitney
*Equal Contribution
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
[ Project Page ] [ Preprint ] [ Paper ] [ Code ] [ Poster ] [ Video ] [ BibTex ]
Serial dependence in perception across naturalistic GAN-generated mammograms
Zhihang Ren, Teresa Canas-Bajo, Cristina Ghirardo, Mauro Manassi, Stella X. Yu, David Whitney
Journal of Medical Imaging, 2023
Serial Dependence in Dermatological Judgments
Zhihang Ren, Xinyu Li, Dana Pietralla, Mauro Manassi, David Whitney
Diagnostics, 2023
Controllable Medical Image Generation via GAN
Zhihang Ren, Stella X. Yu, David Whitney
Journal of Perceptual Imaging, 2022
Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning
Zhihang Ren, Yunhui Guo, Stella X. Yu, David Whitney
IEEE/ACM Conference on Connected Health Applications, Systems, and Engineering Technologies (CHASE), 2021
Coding Trajectory: Enable Video Coding for Video Denoising
Zhihang Ren, Peng Dai, Shuaicheng Liu, Shuyuan Zhu, Bing Zeng
IEEE International Conference on Image Processing (ICIP), 2018
Shape Recovery of Endoscopic Videos by Shape from Shading Using Mesh Regularization
Zhihang Ren, Tong He, Lingbing Peng, Shuaicheng Liu, Shuyuan Zhu, Bing Zeng
International Conference on Image and Graphics (ICIG), 2017
Meshflow Video Denoising
Zhihang Ren, Jiajia Li, Shuaicheng Liu, Bing Zeng
IEEE International Conference on Image Processing (ICIP), 2017
[ Project Page ] [ Code ] [ PDF ] [ BibTex ]
Industrial Experience
Software Engineer at Google LLC.
Collaborate with Ads and Research to develop and improve
- core ML models that powering App Ads.
- scalable ML training infrastructure.
2024.09-Now
Machine Learning Engineer at TikTok Inc.
- Build multi-modal harmful content detection systems for user posts auto-review involving images and videos.
- Leverage Large-Language-Models (LLM) to boost the performance of the auto-review system.
2024.07-2024.09
Research Scientist Intern at Meta Reality Labs
Mentored by Dr. Shahin Aghdam.
- Studied VQGAN in face editting applications and researched face editting in discrete latent space.
- Researched a new style transfer task.
2022.05.31-2022.12.02
Teaching
UC Berkeley
- Psych C126, Perception, Spring 2023, Head Graduate Student Instructor
- Psych C126, Perception, Spring 2021, 2022, 2024, Graduate Student Instructor
- CS189/289: Introduction to Machine Learning, Fall 2019, Graduate Student Instructor
UC San Diego
- ECE 271A: Statistical Learning I, Fall 2018, Graduate Student Instructor
University of Electronic Science and Technology of China
- Introductory Programming, Fall 2015, 2016, Undergraduate Teaching Assistant
- Microelectronic Systems, Spring 2016, Undergraduate Teaching Assistant
Misc
People
- Collaborators: Yunhui Guo,Tapabrata (Rohan) Chakraborty
- Research Assistants: Wish Wang, Yunqi Li, Ana Hernandez Reyes, Rena (Xinyu) Li, Yifan Wang, Sean (Shuchen) Liu, Charlie Cheng-Jie Ji, Ethan Shedd, Rina (Qimei) Li
- Visiting Students: Dana Pietralla, Julien Vignoud
Services & Outreach
- Bay Area Vision Research Day (BAVRD), Program Committee Chair (2020)
- Reviewer
- Conferences: ICPR, MICCAI, ECCV, CVPR
- Journals: Medical Education, Frontiers in Psychology, Springer Nature Computer Science
Recent & Upcoming Talks
- "Association between Proficiency and Idiosyncratic Biases in Medical Image Perception"(Poster) - The Annual Meeting of Vision Science Society (VSS), May 17-22, 2024, St. Pete Beach, Florida
- "BEAT: Berkeley Emotion and Affect Tracking Dataset"(Poster) - The Annual Meeting of Vision Science Society (VSS), May 17-22, 2024, St. Pete Beach, Florida
- "Serial Dependence Biases Realistic Skin Cancer Diagnosis"(Talk) - The Annual Meeting of Vision Science Society (VSS), May 19-24, 2023, St. Pete Beach, Florida
- "An Enhanced Dataset for Inferential Emotion Tracking in Humans and Machines"(Poster) - The Annual Meeting of Vision Science Society (VSS), May 19-24, 2023, St. Pete Beach, Florida
- "Serial Dependence in Radiologist Perception across Naturalistic Mammogram Stimuli"(Poster) - The Annual Meeting of Vision Science Society (VSS), May 13-18, 2022, St. Pete Beach, Florida
- "Simultaneous Localization and Size Discrimination Modeling via Convolutional Neural Network"(Poster) - The Annual Meeting of Vision Science Society (VSS), May 13-18, 2022, St. Pete Beach, Florida
- "Sequentially dependent errors generalize across naturalistic mammogram stimuli"(Talk) - The Annual Meeting of Vision Science Society (Virtual-VSS), May 21-26, 2021
- "A General Model for Medical Stimuli Synthesis"(Poster) - The Annual Meeting of Vision Science Society (Virtual-VSS), May 21-26, 2021
- "A Generative Model for Tumor Stimuli Synthesis"(Poster) - The Annual Meeting of Vision Science Society (Virtual-VSS), May 17, 2020
Awards
- the Outstanding Graduate Student Instructor (OGSI) Award (2023)
- Elsevier/Vision Research Travel Award (2023)
- NSF Student Travel Award (2021)
- Fellowships
- the Third-Class People's Scholarship (2016)
- National Scholarship of China (2014, 2015)