Minxue Tang - RankMe

20 papers A* 6Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition. CoRR Minxue Tang, Yangyang Yu, Aolin Ding, Maziyar Baran Pouyan, Taha Belkhouja, Yujia Bao
2025	—	`conf`	FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning. MLSys Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai Li
2025	A*	`conf`	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. ICLR Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2025	J	`jnl`	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. CoRR Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2024	—	`conf`	Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices. ISVLSI Minxue Tang, Jingwei Sun, Hai Helen Li, Yiran Chen
2024	J	`jnl`	FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning. CoRR Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai (Helen) Li
2024	A*	`conf`	ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. USENIX Security Symposium Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li
2023	A*	`conf`	Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
2022	—	`conf`	An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors. ISQED Zhihui Gao, Minxue Tang, Ang Li, Yiran Chen
2022	J	`jnl`	FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. CoRR Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen
2022	J	`jnl`	Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
2022	A*	`conf`	FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen
2022	—	`conf`	Next Generation Federated Learning for Edge Devices: An Overview. CIC Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen
2022	J	`jnl`	Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data. CoRR Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
2022	A*	`conf`	Towards collaborative intelligence: routability estimation based on decentralized private data. DAC Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
2021	J	`jnl`	FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning. CoRR Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen
2020	—	`conf`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2019	A*	`conf`	Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. NeurIPS Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
2019	J	`jnl`	Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. CoRR Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang