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个人简介
Xiang Chen understands machine learning, mobile graphic, mobile application development and system optimization, as well as circuit design, and human-computer interaction. Prior his academic career, he interned at Samsung Research America and Microsoft Research Asia, working on mobile display technology, system power optimization, and user interactive application.
Chen’s current research focuses on mobile computing with deep learning, mobile graphic optimization for VR/AR system, and high performance mobile sensing system.
In the past years of research, Chen has published more than 60 papers in the top international conferences and journals and received many best paper nominations and other awards. He also stays in close cooperation with not only academic society (such as Duke, UCSB, PITT, Syracuse, Tsinghua, HKUST, CityU, etc.), but also industries, such as the research labs of HP, Samsung, MSRA, Marvell, Amazon and Apple.
Chen’s current research focuses on mobile computing with deep learning, mobile graphic optimization for VR/AR system, and high performance mobile sensing system.
In the past years of research, Chen has published more than 60 papers in the top international conferences and journals and received many best paper nominations and other awards. He also stays in close cooperation with not only academic society (such as Duke, UCSB, PITT, Syracuse, Tsinghua, HKUST, CityU, etc.), but also industries, such as the research labs of HP, Samsung, MSRA, Marvell, Amazon and Apple.
研究兴趣
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2023 IEEE Cloud Summitpp.49-51, (2023)
2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)pp.101-105, (2023)
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CoRR (2023)
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DACpp.1-6, (2023)
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Conference on Machine Learning and Systems (MLSys) (2022)
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High-Confidence Computingno. 4 (2022): 100082
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