Sen Cui

According to our database, Sen Cui authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation.

Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li

CoRR, 2024

Balancing Similarity and Complementarity for Federated Learning.

Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CLAP: Collaborative Adaptation for Patchwork Learning.

Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment.

Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

2022

Synergy-of-Experts: Collaborate to Improve Adversarial Robustness.

Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Collaboration Equilibrium in Federated Learning.

Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

DCR: Disentangled component representation for sketch generation.

Zhong Cao, Sen Cui, Changshui Zhang

Pattern Recognit. Lett., 2021

Correcting the User Feedback-Loop Bias for Recommendation Systems.

Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang

CoRR, 2021

Fair and Consistent Federated Learning.

Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang

CoRR, 2021

Learning to Collaborate.

Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang

CoRR, 2021

Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning.

Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition.

Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility.

Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding.

Zhong Cao, Jiang Lu, Sen Cui, Changshui Zhang

Pattern Recognit., 2020

xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility.

Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang

CoRR, 2020