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I am currently a faculty-funded Ph.D. student at the Department of Computer and Electrical Engineering, Faculty of Science, Technology and Media, Mid Sweden University, supervised by Assoc. Prof. Qing He, Dr. Roger Olsson, and Assoc. Prof. Stefan Forsström. Prior to this, I received my Master of Electronic Information degree in Computer Technology from the School of Information Engineering at Ningxia University in 2024, supervised by Prof. Hao Liu. In 2022, I received my Bachelor of Engineering degree in Computer Science and Technology at Ningxia University, Yinchuan, China. I am interested in the intersection of computer vision, machine learning, and wireless communication. |
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Chenyang Wang, Roger Olsson, Stefan Forsstrom, Qing He IEEE Wireless Communications and Networking Conference (WCNC), 2026 [Link] [Code] This study explores how model partitioning strategies and semantic feature dimensions affect the trade-offs among accuracy, computational load, and communication cost. |
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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 learned reliable margin weights and balanced meta weights by learning credible instance-level margin between logits from biased datasets. |
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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 typically incorporates with the ordinal margin and the variational margin, simultaneously plugging in the globally-tuned deep neural network paradigm. |
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