Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. - Siyuan Li 003; Rui Wang; Minxue Tang; Chongjie Zhang (NeurIPS, 2019)

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. - Huanrui Yang; Minxue Tang; Wei Wen; Feng Yan 001; Daniel Hu; Ang Li 005; Hai Li 001; Yiran Chen 001 (CVPR Workshops, 2020)

FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning. - Minxue Tang; Xuefei Ning; Yitu Wang; Yu Wang 002; Yiran Chen 001 (CoRR, 2021)

Next Generation Federated Learning for Edge Devices: An Overview. - Jianyi Zhang; Zhixu Du; Jingwei Sun 002; Ang Li 005; Minxue Tang; Yuhao Wu; Zhihui Gao; Martin Kuo; Hai Helen Li; Yiran Chen 001 (CIC, 2022)

FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. - Minxue Tang; Xuefei Ning; Yitu Wang; Jingwei Sun 002; Yu Wang 002; Hai Helen Li; Yiran Chen 001 (CVPR, 2022)

Towards collaborative intelligence: routability estimation based on decentralized private data. - Jingyu Pan; Chen-Chia Chang; Zhiyao Xie; Ang Li 005; Minxue Tang; Tunhou Zhang; Jiang Hu; Yiran Chen 001 (DAC, 2022)

An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors. - Zhihui Gao; Minxue Tang; Ang Li 005; Yiran Chen 001 (ISQED, 2022)

FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. - Minxue Tang; Jianyi Zhang; Mingyuan Ma; Louis DiValentin; Aolin Ding; Amin Hassanzadeh; Hai Helen Li; Yiran Chen 001 (CoRR, 2022)

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. - Jianyi Zhang; Ang Li 005; Minxue Tang; Jingwei Sun 002; Xiang Chen 010; Fan Zhang 069; Changyou Chen; Yiran Chen 001; Hai Li 001 (ICML, 2023)

Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices. - Minxue Tang; Jingwei Sun 002; Hai Helen Li; Yiran Chen 001 (ISVLSI, 2024)

ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. - Minxue Tang; Anna Dai; Louis DiValentin; Aolin Ding; Amin Hass; Neil Zhenqiang Gong; Yiran Chen 001; Hai (Helen) Li (USENIX Security Symposium, 2024)

FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning. - Minxue Tang; Yitu Wang; Jingyang Zhang; Louis DiValentin; Aolin Ding; Amin Hass; Yiran Chen 001; Hai (Helen) Li (CoRR, 2024)

Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. - Martin Kuo; Jingyang Zhang; Jianyi Zhang; Minxue Tang; Louis DiValentin; Aolin Ding; Jingwei Sun 002; William Chen; Amin Hass; Tianlong Chen 001; Yiran Chen 001; Hai Li 001 (ICLR, 2025)