Minxue Tang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Hierarchical Reinforcement Learning

Reward Function

Rank Minimization

Top Venues

USENIX Security Symposium

Publications

Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li
ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. USENIX Security Symposium (2024)
Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML (2023)
Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. CoRR (2022)
Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR (2022)
Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR (2022)
Zhihui Gao, Minxue Tang, Ang Li, Yiran Chen
An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors. ISQED (2022)
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data. CoRR (2022)
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen
Towards collaborative intelligence: routability estimation based on decentralized private data. DAC (2022)
Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen
Next Generation Federated Learning for Edge Devices: An Overview. CIC (2022)
Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen
FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning. CoRR (2021)
Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops (2020)
Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR (2020)
Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. CoRR (2019)
Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. NeurIPS (2019)