Sen Cui's Homepage

Home

I am currently a Ph.D student (2019-present) at Tsinghua University, advised by Prof. Changshui Zhang.

In 2019, I received my bachelor's degree of Tsien Excellence in Education Program (Qian class) in the School of Aerospace, Tsinghua University.

My research focus is on algorithmic fairness, robust learning, federated learning and trustworthy AI.

[Google Scholar] [Github]

Education

	RIKEN Center for Advanced Intelligence Project Visiting scholar in RIKEN AIP, 2023~now, supervised by Prof. Masashi Sugiyama.
	Tsinghua University Ph.D in Department of Automation, 2019~now, supervised by Prof. Changshui Zhang.
	University of California, Berkeley Visiting scholar in Department of Mechanics Engineering, 2018~2019, supervised by Prof. Masayoshi Tomizuka.
	Tsinghua University Bachelor of Tsien Excellence in Education Program (TEEP, Qian class) in the School of Aerospace, 2015~2019

Selected Publications

	Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang The 27th ACM SIGKDD conference on Knowledge Discovery and Data Mining (SIGKDD), 2021. [Paper]
	Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang The 35th Conference on Neural Information Processing Systems (NeurIPS2021), 2021. [Paper]
	Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang The 27th ACM SIGKDD conference on Knowledge Discovery and Data Mining (SIGKDD), 2021. [Paper]
	Collaboration Equilibrium in Federated Learning Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang The 28th ACM SIGKDD conference on Knowledge Discovery and Data Mining (SIGKDD), 2022. [Paper]
	Synergy-of-Experts: Collaborate to Improve Adversarial Robustness Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang The 36th Conference on Neural Information Processing Systems (NeurIPS2022), 2022. [Paper]
	Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI) [Paper]
	CLAP: Collaborative Adaptation for Checkerboard Learning Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang The 11th International Conference on Learning Representations (ICLR2024) [Paper]
	Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama The 11th International Conference on Learning Representations (ICLR2024)* [Paper]