1 citations · 1 across the 4 of their papers we have counts for
4 papers
Constructive Approaches to Perception-Aware Lossy Source Coding: Information-Theoretic Guidelines
Ali Hussein, Jun Chen, Chao Tian +1
Perception-aware lossy source coding has attracted significant recent interest. It augments the classical distortion criterion with an explicit perception constraint, thereby enabl…
Broadcast Channel Cooperative Gain: An Operational Interpretation of Partial Information Decomposition
Chao Tian, Shlomo Shamai
Partial information decomposition has recently found applications in biological signal processing and machine learning. Despite its impacts, the decomposition was introduced throug…
Source-Channel Separation Theorems for Distortion Perception Coding
Chao Tian, Jun Chen, Krishna Narayanan
It is well known that separation between lossy source coding and channel coding is asymptotically optimal under classical additive distortion measures. Recently, coding under a new…
Information Compression in the AI Era: Recent Advances and Future Challenges
Jun Chen, Yong Fang, Ashish Khisti +3
This survey articles focuses on emerging connections between the fields of machine learning and data compression. While fundamental limits of classical (lossy) data compression are…