xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. - Sen Cui; Weishen Pan; Changshui Zhang; Fei Wang 001 (CoRR, 2020)

Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding. - Zhong Cao; Jiang Lu; Sen Cui; Changshui Zhang (Pattern Recognit., 2020)

Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. - Sen Cui; Weishen Pan; Changshui Zhang; Fei Wang 001 (KDD, 2021)

Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. - Weishen Pan; Sen Cui; Jiang Bian 001; Changshui Zhang; Fei Wang 001 (KDD, 2021)

Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. - Sen Cui; Weishen Pan; Jian Liang 002; Changshui Zhang; Fei Wang 001 (NeurIPS, 2021)

Learning to Collaborate. - Sen Cui; Jian Liang 002; Weishen Pan; Kun Chen 002; Changshui Zhang; Fei Wang 001 (CoRR, 2021)

Fair and Consistent Federated Learning. - Sen Cui; Weishen Pan; Jian Liang 002; Changshui Zhang; Fei Wang 001 (CoRR, 2021)

Correcting the User Feedback-Loop Bias for Recommendation Systems. - Weishen Pan; Sen Cui; Hongyi Wen; Kun Chen 002; Changshui Zhang; Fei Wang 001 (CoRR, 2021)

DCR: Disentangled component representation for sketch generation. - Zhong Cao; Sen Cui; Changshui Zhang (Pattern Recognit. Lett., 2021)

Collaboration Equilibrium in Federated Learning. - Sen Cui; Jian Liang 002; Weishen Pan; Kun Chen 002; Changshui Zhang; Fei Wang 001 (KDD, 2022)

Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. - Sen Cui; Jingfeng Zhang; Jian Liang 002; Bo Han 003; Masashi Sugiyama; Changshui Zhang (NeurIPS, 2022)

Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. - Sen Cui; Weishen Pan; Changshui Zhang; Fei Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CLAP: Collaborative Adaptation for Patchwork Learning. - Sen Cui; Abudukelimu Wuerkaixi; Weishen Pan; Jian Liang 002; Lei Fang; Changshui Zhang; Fei Wang 001 (ICLR, 2024)

Accurate Forgetting for Heterogeneous Federated Continual Learning. - Abudukelimu Wuerkaixi; Sen Cui; Jingfeng Zhang; Kunda Yan; Bo Han 003; Gang Niu 001; Lei Fang; Changshui Zhang; Masashi Sugiyama (ICLR, 2024)

Balancing Similarity and Complementarity for Federated Learning. - Kunda Yan; Sen Cui; Abudukelimu Wuerkaixi; Jingfeng Zhang; Bo Han 003; Gang Niu 001; Masashi Sugiyama; Changshui Zhang (ICML, 2024)

Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization. - Zhikang Chen; Min Zhang 005; Sen Cui; Haoxuan Li 001; Gang Niu 001; Mingming Gong; Changshui Zhang; Kun Zhang 001 (NeurIPS, 2024)

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. - Honglei Zhang; Haoxuan Li 001; Jundong Chen 003; Sen Cui; Kunda Yan; Abudukelimu Wuerkaixi; Xin Zhou 008; Zhiqi Shen 001; Yidong Li (CoRR, 2024)

Learning without Isolation: Pathway Protection for Continual Learning. - Zhikang Chen; Abudukelimu Wuerkaixi; Sen Cui; Haoxuan Li 001; Ding Li; Jingfeng Zhang; Bo Han 003; Gang Niu 001; Houfang Liu; Yi Yang 039; Sifan Yang; Changshui Zhang; et al. (CoRR, 2025)

CALM: Consensus-Aware Localized Merging for Multi-Task Learning. - Kunda Yan; Min Zhang 005; Sen Cui; Zikun Qu; Bo Jiang; Feng Liu; Changshui Zhang (CoRR, 2025)