A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. - Xinyi Tong 002; Xiangxiang Xu 001; Shao-Lun Huang; Lizhong Zheng (NeurIPS, 2021)

On Sample Complexity of Learning Shared Representations: The Asymptotic Regime. - Xinyi Tong 002; Xiangxiang Xu 001; Shao-Lun Huang (Allerton, 2022)

Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers. - Jian Xu 016; Xinyi Tong 002; Shao-Lun Huang (ICC, 2022)

Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference. - Ziyan Zheng; Xinyi Tong 002; Xinchun Yu; Xiangxiang Xu 001; Shao-Lun Huang (ICC, 2022)

An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. - Xinyi Tong 002; Jian Xu 016; Shao-Lun Huang (ITW, 2022)

Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels. - Xinyi Tong 002; Shao-Lun Huang (Allerton, 2023)

Robust Transfer Learning Based on Minimax Principle. - Xinyi Tong 002; Xiangxiang Xu 001; Shao-Lun Huang; Lizhong Zheng (Allerton, 2023)

Robust Deep Joint Source Channel Coding with Time-Varying Noise. - Weida Wang; Xinchun Yu; Xinyi Tong 002; Runpeng Yu; Xiao-Ping Zhang; Shao-Lun Huang (GLOBECOM, 2023)

Personalized Federated Learning with Feature Alignment and Classifier Collaboration. - Jian Xu 016; Xinyi Tong 002; Shao-Lun Huang (ICLR, 2023)

An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. - Xinyi Tong 002; Tianren Peng; Shao-Lun Huang (ISIT, 2023)

SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations. - Tao Shi; Xiao Liang; Yaoyuan Liang; Xinyi Tong 002; Shao-Lun Huang (CoRR, 2023)

On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing. - Xinyi Tong 002; Xiangxiang Xu 001; Shao-Lun Huang (Entropy, 2023)

Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ISIT, 2024)

On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

A Non-asymptotic Framework for Characterizing Dependency Structures in Multimodal Learning. - Weida Wang; Tao Shi; Yaoyuan Liang; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

CodeSwap: Symmetrically Face Swapping Based on Prior Codebook. - Xiangyang Luo; Xin Zhang; Yifan Xie; Xinyi Tong 002; Weijiang Yu; Heng Chang; Fei Ma 006; Fei Richard Yu (ACM Multimedia, 2024)

On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression. - Weida Wang; Xinyi Tong 002; Xinchun Yu; Shao-Lun Huang (J. Frankl. Inst., 2024)

On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics. - Xinyi Tong 002; Jian Xu 016; Shao-Lun Huang (IEEE J. Sel. Areas Inf. Theory, 2024)