Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. - Guangfeng Yan; Lu Fan; Qimai Li; Han Liu 008; Xiaotong Zhang 003; Xiao-Ming Wu 003; Albert Y. S. Lam (ACL, 2020)

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Shao-Lun Huang; Tian Lan 001; Linqi Song (MASS, 2021)

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Shao-Lun Huang; Tian Lan; Linqi Song (CoRR, 2021)

AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Tan Li 002; Shao-Lun Huang; Tian Lan 001; Linqi Song (IEEE J. Sel. Areas Commun., 2022)

Communication-Efficient Federated Learning with Adaptive Quantization. - Yuzhu Mao; Zihao Zhao 001; Guangfeng Yan; Yang Liu 165; Tian Lan 001; Linqi Song; Wenbo Ding 001 (ACM Trans. Intell. Syst. Technol., 2022)

Adaptive Top- K in SGD for Communication-Efficient Distributed Learning. - Mengzhe Ruan; Guangfeng Yan; Yuanzhang Xiao; Linqi Song; Weitao Xu (GLOBECOM, 2023)

Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. - Jian Xu 016; Guangfeng Yan; Ziyan Zheng; Shao-Lun Huang (ICMLA, 2023)

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. - Guangfeng Yan; Tan Li 002; Tian Lan 001; Kui Wu 001; Linqi Song (CoRR, 2023)

Towards Quantum-Safe Distributed Learning via Homomorphic Encryption: Learning with Gradients. - Guangfeng Yan; Shanxiang Lyu; Hanxu Hou; Zhiyong Zheng; Linqi Song (ITW, 2024)

Truncated Non-Uniform Quantization for Distributed SGD. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Hanxu Hou; Congduan Li; Linqi Song (ITW, 2024)

Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients. - Guangfeng Yan; Shanxiang Lyu; Hanxu Hou; Zhiyong Zheng; Linqi Song (CoRR, 2024)

Truncated Non-Uniform Quantization for Distributed SGD. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Congduan Li; Linqi Song (CoRR, 2024)

Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning. - Guangfeng Yan; Tan Li 002; Yuanzhang Xiao; Hanxu Hou; Linqi Song (CoRR, 2024)

Killing two birds with one stone: Quantization achieves privacy in distributed learning. - Guangfeng Yan; Tan Li 002; Kui Wu 001; Linqi Song (Digit. Signal Process., 2024)

Adaptive Top-K in SGD for Communication-Efficient Distributed Learning in Multi-Robot Collaboration. - Mengzhe Ruan; Guangfeng Yan; Yuanzhang Xiao; Linqi Song; Weitao Xu (IEEE J. Sel. Top. Signal Process., 2024)

Optimal selection of key parameters for homomorphic filtering based on information entropy. - Zhantao Yang; Yangtenglong Li; Xuan Bai; Guangfeng Yan; Qi Sun; Cong Fu 015 (Multim. Tools Appl., 2024)

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. - Guangfeng Yan; Tan Li 002; Kui Wu 001; Linqi Song (IEEE J. Sel. Areas Commun., 2025)