activity
20192026
most citedFully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2026

Gen2-IC: Bridging Generative Models and Image Codecs through Latent Transport

Yinhuan Huang, Hao Cao, Pu chen +3

Diffusion-based image compression has achieved strong perceptual quality at ultra-low bitrates. However, existing codecs are often tied to specific backbones and specialized compon…

eess.SP2026

Distribution-Aware Constellation Learning for Image Transmission

Xufeng Zhang, Yinhuan Huang, Jingkai Ying +2

Semantic communication has demonstrated significant potential for image transmission, especially in bandwidth-limited and low signal-to-noise ratio scenarios. However, most existin…

eess.IV2026

Perception-Aware Video Semantic Communication

Yinhuan Huang, Zhijin Qin

Ultra-high-resolution streaming and emerging immersive services are driving rapidly increasing wireless video traffic. However, perceptually pleasing video transmission over bandwi…

eess.IV2025

Image Semantic Communication with Quadtree Partition-based Coding

Yinhuan Huang, Zhijin Qin

Deep learning based semantic communication (DeepSC) system has emerged as a promising paradigm for efficient wireless transmission. However, existing image DeepSC methods, frequent…

cs.CV2019★ 5 cited

Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN

Hang Min, Devin Wilson, Yinhuang Huang +4

Mammographic mass detection and segmentation are usually performed as serial and separate tasks, with segmentation often only performed on manually confirmed true positive detectio…