Sen Cui - RankMe

36 papers A* 13Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning. CoRR Xiang Liu, Sen Cui, Guocai Yao, Zhong Cao, Jingheng Ma, Min Zhang, Changshui Zhang
2026	J	`jnl`	Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. ACM Trans. Inf. Syst. Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li
2026	J	`jnl`	FATE: Closed-Loop Feasibility-Aware Task Generation with Active Repair for Physically Grounded Robotic Curricula. CoRR Bingchuan Wei, Bingqi Huang, Jingheng Ma, Zeyu Zhang, Sen Cui
2026	J	`jnl`	Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support. CoRR Shuying Chen, Sen Cui, Zhong Cao
2026	J	`jnl`	Reversible Diffusion Decoding for Diffusion Language Models. CoRR Xinyun Wang, Min Zhang, Sen Cui, Zhikang Chen, Bo Jiang, Kun Kuang, Mingbao Lin
2025	J	`jnl`	Accurate Forgetting for Heterogeneous Federated Continual Learning. CoRR Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama
2025	A*	`conf`	Adaptive Localization of Knowledge Negation for Continual LLM Unlearning. ICML Abudukelimu Wuerkaixi, Qizhou Wang, Sen Cui, Wutong Xu, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang
2025	A*	`conf`	Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge. ICML Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang
2025	A*	`conf`	CALM: Consensus-Aware Localized Merging for Multi-Task Learning. ICML Kunda Yan, Min Zhang, Sen Cui, Zikun Qu, Bo Jiang, Feng Liu, Changshui Zhang
2025	J	`jnl`	CALM: Consensus-Aware Localized Merging for Multi-Task Learning. CoRR Kunda Yan, Min Zhang, Sen Cui, Zikun Qu, Bo Jiang, Feng Liu, Changshui Zhang
2025	J	`jnl`	Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning. CoRR Danni Yang, Zhikang Chen, Sen Cui, Mengyue Yang, Ding Li, Abudukelimu Wuerkaixi, Haoxuan Li, Jinke Ren, Mingming Gong
2025	J	`jnl`	From Coefficients to Directions: Rethinking Model Merging with Directional Alignment. CoRR Zhikang Chen, Sen Cui, Deheng Ye, Min Zhang, Gang Niu, Yu Zhang, Masashi Sugiyama, Tingting Zhu
2025	A*	`conf`	Learning without Isolation: Pathway Protection for Continual Learning. ICML Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui, Haoxuan Li, Ding Li, Jingfeng Zhang, Bo Han, Gang Niu, Houfang Liu, Yi Yang, Sifan Yang, Changshui Zhang, Tianling Ren
2025	J	`jnl`	Learning without Isolation: Pathway Protection for Continual Learning. CoRR Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui, Haoxuan Li, Ding Li, Jingfeng Zhang, Bo Han, Gang Niu, Houfang Liu, Yi Yang, Sifan Yang, Changshui Zhang, Tianling Ren
2025	J	`jnl`	Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport. CoRR Zecheng Pan, Zhikang Chen, Ding Li, Min Zhang, Sen Cui, Hongshuo Jin, Luqi Tao, Yi Yang, Deheng Ye, Yu Zhang, Tingting Zhu, Tianling Ren
2025	J	`jnl`	Think Consistently, Reason Efficiently: Energy-Based Calibration for Implicit Chain-of-Thought. CoRR Zhikang Chen, Sen Cui, Deheng Ye, Yu Zhang, Yatao Bian, Tingting Zhu
2024	A*	`conf`	Accurate Forgetting for Heterogeneous Federated Continual Learning. ICLR Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama
2024	A*	`conf`	Balancing Similarity and Complementarity for Federated Learning. ICML Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang
2024	J	`jnl`	Balancing Similarity and Complementarity for Federated Learning. CoRR Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang
2024	J	`jnl`	Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. CoRR Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li
2024	A*	`conf`	CLAP: Collaborative Adaptation for Patchwork Learning. ICLR Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang
2024	A*	`conf`	Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization. NeurIPS Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang
2023	J	`jnl`	Bipartite Ranking Fairness Through a Model Agnostic Ordering Adjustment. IEEE Trans. Pattern Anal. Mach. Intell. Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2023	J	`jnl`	Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment. CoRR Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2022	A*	`conf`	Collaboration Equilibrium in Federated Learning. KDD Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2022	A*	`conf`	Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang
2021	A*	`conf`	Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
2021	J	`jnl`	Correcting the User Feedback-Loop Bias for Recommendation Systems. CoRR Weishen Pan, Sen Cui, Hongyi Wen, Kun Chen, Changshui Zhang, Fei Wang
2021	J	`jnl`	DCR: Disentangled component representation for sketch generation. Pattern Recognit. Lett. Zhong Cao, Sen Cui, Changshui Zhang
2021	A*	`conf`	Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. KDD Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
2021	J	`jnl`	Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition. CoRR Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
2021	J	`jnl`	Fair and Consistent Federated Learning. CoRR Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
2021	J	`jnl`	Learning to Collaborate. CoRR Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2021	A*	`conf`	Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility. KDD Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang
2020	J	`jnl`	Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding. Pattern Recognit. Zhong Cao, Jiang Lu, Sen Cui, Changshui Zhang
2020	J	`jnl`	xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility. CoRR Sen Cui, Weishen Pan, Changshui Zhang, Fei Wang