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.
Yi serves as a reviewer for several top-tier academic conferences, including ICLR, CVPR, and ACM MM.
His CV is available here.
Recent News
* [07.2024] Our paper Poisoning for Debiasing: Fair Recognition via Eliminating Bias Uncovered in Data Poisoning has been accepted by ACM MM 2024.
* [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 Doctoral Thesis Defense and have received Ph.D. from Beijing Jiaotong University.
* [04.2023] Our paper From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping has been accepted by IJCAI 2023.
* [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)
- Poisoning for Debiasing: Fair Recognition via Eliminating Bias Uncovered in Data Poisoning
Yi Zhang, Zhefeng Wang, Rui Hu, Xinyu Duan, Yi Zheng, Baoxing Huai, Jiarun Han, and Jitao Sang.
ACM Multimedia Conference. ACM MM 2024 (CCF-A).
- Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features
Yi Zhang, Jitao Sang, Junyang Wang, Dongmei Jiang, and 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, and 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