Xinyi Tong

22 papers A* 3B 8Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 B conf
Information-Geometric Analysis of the Optimal Error Exponent in Fixed-Length Hypothesis Testing.
ISIT
Qingyue Zhang, Xinyi Tong, Tianren Peng, Shao-Lun Huang
2024 B conf
A Non-asymptotic Framework for Characterizing Dependency Structures in Multimodal Learning.
ITW
Weida Wang, Tao Shi, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang
2024 A* conf
CodeSwap: Symmetrically Face Swapping Based on Prior Codebook.
ACM Multimedia
Xiangyang Luo, Xin Zhang, Yifan Xie, Xinyi Tong, Weijiang Yu, Heng Chang, Fei Ma, Fei Richard Yu
2024 B conf
On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain.
ITW
Tianren Peng, Xinyi Tong, Shao-Lun Huang
2024 J jnl
On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics.
IEEE J. Sel. Areas Inf. Theory
Xinyi Tong, Jian Xu, Shao-Lun Huang
2024 J jnl
On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression.
J. Frankl. Inst.
Weida Wang, Xinyi Tong, Xinchun Yu, Shao-Lun Huang
2024 B conf
Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space.
ISIT
Tianren Peng, Xinyi Tong, Shao-Lun Huang
2024 B conf
The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss.
ITW
Tianren Peng, Xinyi Tong, Shao-Lun Huang
2023 B conf
An Information Theoretic Approach for Collaborative Distributed Parameter Estimation.
ISIT
Xinyi Tong, Tianren Peng, Shao-Lun Huang
2023 J jnl
On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing.
Entropy
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
2023 — conf
Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels.
Allerton
Xinyi Tong, Shao-Lun Huang
2023 A* conf
Personalized Federated Learning with Feature Alignment and Classifier Collaboration.
ICLR
Jian Xu, Xinyi Tong, Shao-Lun Huang
2023 J jnl
Personalized Federated Learning with Feature Alignment and Classifier Collaboration.
CoRR
Jian Xu, Xinyi Tong, Shao-Lun Huang
2023 B conf
Robust Deep Joint Source Channel Coding with Time-Varying Noise.
GLOBECOM
Weida Wang, Xinchun Yu, Xinyi Tong, Runpeng Yu, Xiao-Ping Zhang, Shao-Lun Huang
2023 — conf
Robust Transfer Learning Based on Minimax Principle.
Allerton
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
2023 J jnl
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations.
CoRR
Tao Shi, Xiao Liang, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang
2022 B conf
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication.
ITW
Xinyi Tong, Jian Xu, Shao-Lun Huang
2022 J jnl
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication.
CoRR
Xinyi Tong, Jian Xu, Shao-Lun Huang
2022 — conf
Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers.
ICC
Jian Xu, Xinyi Tong, Shao-Lun Huang
2022 — conf
Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference.
ICC
Ziyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu, Shao-Lun Huang
2022 — conf
On Sample Complexity of Learning Shared Representations: The Asymptotic Regime.
Allerton
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
2021 A* conf
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning.
NeurIPS
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng