Lingyi Chen

According to our database1, Lingyi Chen authored at least 20 papers between 2023 and 2026.

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Bibliography

2026
Computing Rate-Distortion Functions of Continuous Memoryless Sources via Discrete Algorithms: An Integrated Scheme with Convergence Guarantee and Algorithmic Acceleration.
Entropy, 2026

2025
An Optimal Transport-Based Method for Computing LM Rate and Its Convergence Analysis.
CoRR, July, 2025

Neural Estimation of the Information Bottleneck Based on a Mapping Approach.
CoRR, July, 2025

Estimating Rate-Distortion Functions Using the Energy-Based Model.
CoRR, July, 2025

Efficient Computation of Marton's Error Exponent via Constraint Decoupling.
Proceedings of the IEEE Information Theory Workshop, 2025

Estimating Rate-Distortion Functions Using the Energy-Based Model.
Proceedings of the IEEE Information Theory Workshop, 2025

An Efficient Alternating Minimization Algorithm for Computing Quantum Rate-Distortion Function.
Proceedings of the IEEE Information Theory Workshop, 2025

RDD Function: A Tradeoff Between Rate and Distortion-in-Distortion.
Proceedings of the IEEE Information Theory Workshop, 2025

2024
DTC-MDD: A spatiotemporal data acquisition technology for privacy-preserving in MCS.
Inf. Sci., February, 2024

An intelligent active probing and trace-back scheme for IoT anomaly detection.
Digit. Commun. Networks, 2024

An Expectation-Maximization Relaxed Method for Privacy Funnel.
CoRR, 2024

Alternating Maximization Algorithm for Mismatch Capacity with Oblivious Relaying.
Proceedings of the IEEE Information Theory Workshop, 2024

Neural Estimation of the Information Bottleneck Based on a Mapping Approach.
Proceedings of the IEEE Information Theory Workshop, 2024

An Expectation-Maximization Relaxed Method for Privacy Funnel.
Proceedings of the IEEE International Symposium on Information Theory, 2024

On Convergence of Discrete Schemes for Computing the Rate-Distortion Function of Continuous Source.
Proceedings of the IEEE International Symposium on Information Theory, 2024

A Double Maximization Approach for Optimizing the LM Rate of Mismatched Decoding.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Efficient and Provably Convergent Computation of Information Bottleneck: A Semi-Relaxed Approach.
Proceedings of the IEEE International Conference on Communications, 2024

2023
RLTD: A Reinforcement Learning-based Truth Data Discovery scheme for decision support systems under sustainable environments.
Appl. Soft Comput., August, 2023

Variations on a Theme by Blahut and Arimoto.
CoRR, 2023

Information Bottleneck Revisited: Posterior Probability Perspective with Optimal Transport.
Proceedings of the IEEE International Symposium on Information Theory, 2023


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