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cs.IT2026
Training-Free Rate-Distortion-Perception Traversal With Diffusion
Yuhan Wang, Suzhi Bi, Ying-Jun Angela Zhang
The rate-distortion-perception (RDP) tradeoff characterizes the fundamental limits of lossy compression by jointly considering bitrate, reconstruction fidelity, and perceptual qual…
cs.IT2025
Task-Oriented Computation Offloading for Edge Inference: An Integrated Bayesian Optimization and Deep Reinforcement Learning Framework
Xian Li, Suzhi Bi, Ying-Jun Angela Zhang
Edge intelligence (EI) allows resource-constrained edge devices (EDs) to offload computation-intensive AI tasks (e.g., visual object detection) to edge servers (ESs) for fast execu…
cs.IT2024
Task-Oriented Lossy Compression with Data, Perception, and Classification Constraints
Yuhan Wang, Youlong Wu, Shuai Ma +1
By extracting task-relevant information while maximally compressing the input, the information bottleneck (IB) principle has provided a guideline for learning effective and robust…