Deheng Yuan

According to our database, Deheng Yuan authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Distributed Approximate Computing With Constant Locality.

Deheng Yuan, Tao Guo, Zhongyi Huang, Shi Jin

IEEE Trans. Inf. Theory, January, 2026

2025

Computation of a Unified Graph-Based Rate Optimization Problem.

Deheng Yuan, Tao Guo, Zhongyi Huang, Shi Jin

IEEE Trans. Commun., November, 2025

Optimal Rate Region for Lazy Secret Sharing.

Tao Guo, Xiaoyu Zhao, Deheng Yuan, Laigang Guo, Yinfei Xu

Proceedings of the IEEE Information Theory Workshop, 2025

An Efficient Alternating Minimization Algorithm for Computing Quantum Rate-Distortion Function.

Lingyi Chen, Deheng Yuan, Wenyi Zhang, Hao Wu, Huihui Wu

Proceedings of the IEEE Information Theory Workshop, 2025

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal.

Deheng Yuan, Tao Guo, Zhongyi Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Adaptive Refinement Protocols for Distributed Distribution Estimation under ℓ^p-Losses.

Deheng Yuan, Tao Guo, Zhongyi Huang

CoRR, 2024

Local Decoding in Distributed Approximate Computing.

Deheng Yuan, Tao Guo, Zhongyi Huang, Shi Jin

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Distributed Approximate Computing with Constant Locality.

Deheng Yuan, Tao Guo, Zhongyi Huang, Shi Jin

CoRR, 2023

A Graph-Based Approach to the Computation of Rate-Distortion and Capacity-Cost Functions with Side Information.

Deheng Yuan, Tao Guo, Zhongyi Huang

CoRR, 2023

2022

Lossy Computing with Side Information via Multi-Hypergraphs.

Deheng Yuan, Tao Guo, Bo Bai, Wei Han

Proceedings of the IEEE Information Theory Workshop, 2022