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Sen Cui
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2020 – today
- 2024
- [c7]Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang:
CLAP: Collaborative Adaptation for Patchwork Learning. ICLR 2024 - [c6]Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama:
Accurate Forgetting for Heterogeneous Federated Continual Learning. ICLR 2024 - [i8]Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang:
Balancing Similarity and Complementarity for Federated Learning. CoRR abs/2405.09892 (2024) - [i7]Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li:
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. CoRR abs/2406.03933 (2024) - 2023
- [j3]Sen Cui
, Weishen Pan
, Changshui Zhang
, Fei Wang
:
Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13235-13249 (2023) - [i6]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment. CoRR abs/2307.14668 (2023) - 2022
- [c5]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Collaboration Equilibrium in Federated Learning. KDD 2022: 241-251 - [c4]Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang:
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS 2022 - 2021
- [j2]Zhong Cao, Sen Cui, Changshui Zhang:
DCR: Disentangled component representation for sketch generation. Pattern Recognit. Lett. 145: 16-22 (2021) - [c3]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. KDD 2021: 207-217 - [c2]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD 2021: 1287-1297 - [c1]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS 2021: 26091-26102 - [i5]Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang:
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR abs/2108.05335 (2021) - [i4]Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang:
Learning to Collaborate. CoRR abs/2108.07926 (2021) - [i3]Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang:
Fair and Consistent Federated Learning. CoRR abs/2108.08435 (2021) - [i2]Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang:
Correcting the User Feedback-Loop Bias for Recommendation Systems. CoRR abs/2109.06037 (2021) - 2020
- [j1]Zhong Cao, Jiang Lu
, Sen Cui
, Changshui Zhang:
Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding. Pattern Recognit. 107: 107488 (2020) - [i1]Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang:
xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. CoRR abs/2006.08267 (2020)
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last updated on 2024-08-08 20:11 CEST by the dblp team
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