Huimin Zeng
Hello, this is Huimin Zeng (曾惠民 in Chinese)! I am currently a 3rd year Ph.D. student at University of Illinois Urbana-Champaign, advised by Prof. Dong Wang. Prior to that, I graduated with M.Sc. degree in Robotics, Cognition, Intelligence with Distinction from Technische Universität München in 2021. I received my B.Sc. in Robotics and Automation from Tongji University in 2018.
My research interest lies in trustworthy machine learning, NLP and recommender systems.
Selected Publications
Fair Federated Learning with Biased Vision-Language Models
Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang
ACL Findings 2024
Fair Sequential Recommendation without User Demographics
Huimin Zeng, Zhankui He, Zhenrui Yue, Julian McAuley, Dong Wang
SIGIR 2024
Open-Vocabulary Federated Learning via Multimodal Prototyping
Huimin Zeng, Zhenrui Yue, Dong Wang
NAACL 2024
Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing
Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang
ICDCS 2024
Unsupervised Domain Adaptation Via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
TETC 2024
On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
IJCAI 2023
Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning
Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang
CIKM 2023
Fairness-aware Training of Face Attribute Classifiers via Adversarial Robustness
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
KBS 2023
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks
Huimin Zeng, Zhenrui Yue, Yang Zhang, Ziyi Kou, Lanyu Shang, Dong Wang
IJCAI 2022
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup
Huimin Zeng, Zhenrui Yue, Ziyi Kou, Lanyu Shang, Yang Zhang, Dong Wang
ASONAM 2022
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang
BigData 2022
Are adversarial examples created equal? A learnable weighted minimax risk for robustness under non-uniform attacks
Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang
AAAI 2021
Full publication list can be found in my google scholar page.
Miscellaneous
Teaching: Computer Networks, Intro to Database, Intro to Deep Learning.