Xinyi Tong
Orcid: 0000-0001-8242-8737Affiliations:
- Tsinghua Shenzhen International Graduate School, Shenzhen, China
- Tsinghua University, Department of Physics, Beijing, China
According to our database1,
Xinyi Tong
authored at least 19 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics.
IEEE J. Sel. Areas Inf. Theory, 2024
On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression.
J. Frankl. Inst., 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
A Non-asymptotic Framework for Characterizing Dependency Structures in Multimodal Learning.
Proceedings of the IEEE Information Theory Workshop, 2024
The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss.
Proceedings of the IEEE Information Theory Workshop, 2024
Proceedings of the IEEE Information Theory Workshop, 2024
Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space.
Proceedings of the IEEE International Symposium on Information Theory, 2024
2023
Entropy, October, 2023
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations.
CoRR, 2023
An Information Theoretic Approach for Collaborative Distributed Parameter Estimation.
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
2022
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication.
Proceedings of the IEEE Information Theory Workshop, 2022
Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference.
Proceedings of the IEEE International Conference on Communications, 2022
Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
2021
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021