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Baichuan Huang 黄百川 I am a Ph.D. student in the Department of Electrical and Information Technology, LTH, at Lund University (Sweden), working with Asst. Prof. Amir Aminifar. I got my master's degree, working with Prof. Jingbin Liu in the State Key Laboratory of LIESMARS at Wuhan University, China. Before that, I received my bachelor's degree in electronic information engineering from the Electronic Information School at Wuhan University. My research interests are intelligent perception, The Internet of Things (IoT), mobile health, and edge AI. Welcome to our Intelligent Systems Laboratory! Email / Github / Google Scholar / LinkedIn |
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Pulished papers are listed below. |
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Baichuan Huang, Azra Abtahi, Amir Aminifar IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI), 2024 We propose an energy-aware NAS framework for distributed IoT, aiming to search for distributed DNNs to maximize prediction performance subjected to Flash Memory (Flash), Random-access Memory (RAM), and energy constraints. |
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Amin Aminifar*, Baichuan Huang*, Azra Abtahi, Amir Aminifar (*Equal contribution) Accepted by ECAI-2024 (Acceptance Rate: 23%) paper/ code/ ppt/ poster We propose a lightweight inference scheme specifically designed for DNNs trained using the Forward-Forward algorithm ( Contribute to the Forward-Forward repository ). |
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Baichuan Huang, Renato Zanetti, Azra Abtahi Fahliani, David Atienza, Amir Aminifar Accepted by IEEE AICAS 2023 paper/ ppt We propose the first interpretable self-supervised network for seizure detection without any need for real seizure data in training, which has comparable performance with supervised methods. (Contemporaneous and similar work of peers in AAAI2023) |
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Baichuan Huang, Azra Abtahi Fahliani, Amir Aminifar Accepted by IEEE ICASSP 2023 Top-5 Ranking in the Seizure Detection Challenge paper/ ppt We propose a lightweight machine-learning framework for real-time epilepsy monitoring on wearable devices (SensorDot of Byteflies). |
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Baichuan Huang, Hongwei Yi, Can Huang, Yijia He, Jingbin Liu, Xiao Liu Accepted by IEEE ICIP 2021 paper/ code/ ppt/ poster/ This method establishes the state-of-the-arts unsupervised MVS method and demonstrates the powerful generalization ability. |
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Baichuan Huang, Jun Zhao, Jingbin Liu Journal of Global Positioning Systems , 2021 paper/ project/ cite The paper makes an overview in SLAM including Lidar SLAM, visual SLAM, and their fusion. |
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Baichuan Huang, Jingbin Liu, Wei Sun, Fan Yang Sensors, 2019 paper To improve the adaptability and robustness of the BLE positioning system, we propose making full use of the three separate channels instead of their combination. |
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Jingbin Liu, Baichuan Huang, Bin Zhang GEOMATICS AND INFORMATION SCIENCE OF WUHAN UNIVERS, 2018 paper This paper uses two virtual antennas to realize the music algorithm (Angle of Arrival) based on channel state information (CSI). |
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Talks: : |
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2021.06: Outstanding Graduates, issued by Wuhan University |
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I like swimming and running. |
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Last update: Oct 2024. / Thanks for the template. |