Yi Zhang (张翼)
Email: yi [dot] zhang [at] bjtu [dot] edu [dot] cn
Yi Zhang is a postdoctoral researcher at Huawei Co., Ltd, China, advised by Dr. Baoxing Huai.
Yi received his Ph.D. from School of Computer and Information Technology, BJTU, where he was advised by Prof. Jitao Sang.
His CV is available here.
Recent News
* [08.2023] I joined Huawei Co., Ltd as a postdoctoral researcher.
* [07.2023] Our paper Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features has been accepted by ACM MM 2023.
* [06.2023] I am proud to announce that I have successfully passed my Ph.D. dissertation defense and have received Ph.D. from Beijing Jiaotong University.
* [06.2022] Our paper Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models has been accepted by ACM MM 2022.
* [10.2021] I gave a tutorial on Trustworthy Multimedia Analysis in ACM MM 2021.
* [07.2020] Our paper Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing has been accepted by ACM MM 2020.
Publications (selected)
- Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features
Yi Zhang, Jitao Sang, Junyang Wang, Dongmei Jiang, Yaowei Wang.
ACM Multimedia Conference. ACM MM 2023 (CCF-A).
- Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models
Yi Zhang, Junyang Wang, Jitao Sang.
ACM Multimedia Conference. ACM MM 2022 (CCF-A).
- Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing
Yi Zhang, Jitao Sang.
ACM Multimedia Conference. ACM MM 2020 (CCF-A).
Talks
- Tutorial: Trustworthy Multimedia Analysis, ACM MM 2021 (CCF-A)
Experience/Education
- Ph.D (computer science), Beijing Jiaotong University . 2019.9 - 2023.6
- Peng Cheng Laboratory, China. 2020.09 - 2023.05
- M.S (computer science), Beijing Jiaotong University . 2018.9 - 2019.6
- Peng Cheng Laboratory, China. 2019.06 - 2019.09
Teaching
- Teaching Assistant, Machine Learning, Jitao Sang. BJTU, 2020 Fall
- Teaching Assistant, Machine Learning, Jitao Sang & Liping Jing. BJTU, 2019 Fall