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

Pulished papers are listed below.

We propose a lightweight inference scheme specifically designed for DNNs trained using the Forward-Forward algorithm.

*Equal contribution.

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)

We propose a lightweight machine-learning framework for real-time epilepsy monitoring on wearable devices (SensorDot of Byteflies).

This method establishes the state-of-the-arts unsupervised MVS method and demonstrates the powerful generalization ability.

The paper makes an overview in SLAM including Lidar SLAM, visual SLAM, and their fusion.

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.

This paper uses two virtual antennas to realize the music algorithm (Angle of Arrival) based on channel state information (CSI).

Lund University
(QS World Ranking 87 in 2022)

Ph.D. student
Apr. 2022 ~ Now

Affiliated WASP Ph.D. Student
Dec. 2022 ~ Now

Wuhan University
(Top 10 in China
Project 985)

M.Sc.
Sep. 2018 ~ June. 2021

B.Eng.
Sep. 2014 ~ Jun. 2018

Tencent
Research Intern
Aug. 2020 ~ Nov. 2020

MEGVII(Face++)
(One of the Top AI Company)

Research Intern
Dec. 2019 ~ May. 2020

Nanyang Technological University
(QS World Ranking 11 in 2021)

Research Intern
Jul. 2019 ~ Oct. 2019

Talks: :
2023.10.24-10.27: Poster and Workshop Presentation at Natural and Artificial Cognition II, AI Lund
2023.09.29: Poster Presentation at Schwarzman College of Computing, Massachusetts Institute of Technology

Teaching Duty: :
2023: Machine Learning for Internet of Things (IoT) (EITP40): Kaggle Competition, and supervised students' final project 'Railway Anomaly Detection System (RADS)'
2023-2024: Signal Processing in Multimedia (EITA50): Course Homepage
2022: Machine Learning for Internet of Things (IoT) (EITP40): Kaggle Competition

Reviewer: :
2024: IEEE Internet of Things Journal (Journal, Q1) Web of Science
2024: ACM Computing Surveys (Journal, Q1) Web of Science
2024: International Conference on Acoustics, Speech and Signal Processing (ICASSP'24)
2024: Reviewer Member of (Artificial Intelligence and Applications)
2023: IEEE International Conference on Omni Layer Intelligent Systems (COINS'23)
2021: IEEE International Conference on Image Processing (ICIP'21)
2020: AAAI Conference on Artificial Intelligence (AAAI'21)

Patents: :
A high quality precision panoramic imaging system and method based on the DSLR camera (ZL 2019 1 0123353.3)
An intelligent inspection robot and intelligent inspection method for underground pipelines (ZL 2019 1 0375732.1)

2021.06: Outstanding Graduates, issued by Wuhan University
2018-2021: The First Prize Scholarship, issued by Wuhan University
2019.12: National scholarship for Postgraduates (Top 0.2%), issued by the Ministry of Education of the People's Republic of China
2019.12: National Third Prize in "HUAWEI Cup" The 16th China Post-Graduate Mathematical Contest in Modelling
2017.11: National Second Prize in China Undergraduate Mathematical Contest in Modelling, issued by China Society for Industrial and Applied Mathematics

I like swimming and running.

Last update: Feb 2024. / Thanks for the template.