Chenyang Wang

Hi, I am currently a faculty-funded Ph.D. student in Computer Engineering at Mid Sweden University, supervised by Assoc. Prof. Qing He, Dr. Roger Olsson, and Assoc. Prof. Stefan Forsström. Prior to this, I obtained my Master of Electronic Information degree in Computer Technology in 2024 and my Bachelor of Engineering degree in Computer Science and Technology in 2022 from Ningxia University, supervised by Prof. Hao Liu.

My research focuses on the intersection of computer vision, machine learning, and wireless communication.

Email  /  Google Scholar  /  GitHub

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Publications
dise Deep Semantic Inference over the Air: An Efficient Task-Oriented Communication System
Chenyang Wang, Roger Olsson, Stefan Forsström, Qing He
IEEE Wireless Communications and Networking Conference (WCNC), 2026
[Link] [Code]

This study investigates how model partitioning strategies and dimensionality of semantic features jointly affect the trade-offs among accuracy, computational load, and communication cost.

dise Exploiting Unfairness With Meta-Set Learning for Chronological Age Estimation
Chenyang Wang, Zhendong Li, Xian Mo, Xiaofen Tang, and Hao Liu
IEEE Transactions on Information Forensics and Security (T-IFS), 2023
[Link] [News]

The proposed MSL derives reliable margin weights and balanced meta weights by modeling credible instance-level margins between logits from biased datasets.

dise PML: Progressive Margin Loss for Long-tailed Age Classification
Zongyong Deng, Hao Liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, and Xuehong Sun
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Link] [Code] [News]

The proposed PML jointly incorporates the ordinal and variational margins while simultaneously adopting the globally tuned deep neural network paradigm.

Awards and Grants
  • Horizon Europe MSCA Staff Exchanges Project (IPOSEE), European Commission, until 2027
  • National Scholarship, Ministry of Education of the People's Republic of China, 2023
  • Excellence Award (Top 10), CSIG Challenge on Face Segmentation Using Short Video Clips, 2020
Teaching Assistant
  • Applied Machine Learning, DT075A, MIUN - HT 2025
  • Neural Networks and Deep Learning, DT086A, MIUN - VT 2025

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