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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
publications
TC-MIMONet: A Learning-based Transceiver for MIMO Systems with Temporal Correlations
Published in 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021
In this work, we propose a novel learning-based MIMO transceiver, namely, the TC-MIMONet, which extends the conventional memoryless AE-based transceivers by customizing two neural network components with memory.
Recommended citation: C. Chen, Z. Wang, and Y. Mao. " TC-MIMONet: A Learning-Based Transceiver for MIMO Systems with Temporal Correlations." 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). https://ieeexplore.ieee.org/abstract/document/9448981
Computation of Rate-Distortion-Perception Functions With Wasserstein Barycenter
Published in IEEE International Symposium on Information Theory (ISIT), 2023., 2023
In this paper, we show that the information RDP function can be transformed into a Wasserstein Barycenter problem. The nonstrictly convexity brought by the perceptual constraint can be regularized by an entropy regularization term.
Recommended citation: C. Chen, X. Niu, and W. Ye. " Computation of Rate-Distortion-Perception Functions With Wasserstein Barycenter." 2023 IEEE International Symposium on Information Theory (ISIT). https://ieeexplore.ieee.org/document/10206982
Computation and Critical Transitions of Rate-Distortion-Perception Functions With Wasserstein Barycenter
Published in Submitted to IEEE Transactions on Information Theory, 2024
The information rate-distortion-perception (RDP) function characterizes the three-way trade-off between description rate, average distortion, and perceptual quality measured by discrepancy between probability distributions.
Recommended citation: C. Chen, X. Niu, and W. Hao. " Computation and Critical Transitions of Rate-Distortion-Perception Functions With Wasserstein Barycenter." arXiv preprint arXiv:2404.04681 (2024). https://arxiv.org/pdf/2404.04681
A numerical algorithm with linear complexity for Multi-marginal Optimal Transport with L1 Cost
Published in Submitted to CSIAM Transactions on Applied Mathmatics, 2024
Numerically solving multi-marginal optimal transport (MMOT) problems is computationally prohibitive, even for moderate-scale instances involving l larger than 4 marginals with support sizes of N larger than 1000.
Recommended citation: C. Chen, J. Chen, B. Luo, S. Jin and H. Wu. " A numerical algorithm with linear complexity for Multi-marginal Optimal Transport with L1 Cost." arXiv preprint arXiv:2405.19246 (2024). https://arxiv.org/pdf/2405.19246
talks
Conference Proceeding talk on VTC2021-Spring
Published:
This is a presentation for the work “TC-MIMONet: A Learning-Based Transceiver for MIMO Systems with Temporal Correlations” online for VTC2021-Spring.
Conference Proceeding talk on ISIT 2023
Published:
This is a presentation for the work “Computation of Rate-Distortion-Perception Functions With Wasserstein Barycenter” online for ISIT 2023.
teaching
Teaching assistant experience 1
Function of Complex Variables and Equations of Mathematical Physics, Department of Mathematics, Tsinghua University, 2021
This is a course taught by Prof. Hao Wu in Department of Mathematics, Tsinghua University.
Teaching assistant experience 2
Probability and Statistics, Department of Mathametics, Tsinghua University, 2022
This is a course taught by Prof. Hongyan Tang in Department of Mathametics, Tsinghua University.
Teaching assistant experience 3
Probability and Statistics, Department of Mathametics, Tsinghua University, 2022
This is a course taught by Prof. Hongyan Tang in Department of Mathametics, Tsinghua University and I received the Second prize of Outstanding Teaching Assistant from Tsinghua University in 2022.12.
Teaching assistant experience 4
Probability and Statistics, Department of Mathametics, Tsinghua University, 2023
This is a course taught by Prof. Lingsheng Shi in Department of Mathametics, Tsinghua University.