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. My research interests are bio-inspired deep learning, efficient training and inference, Internet of Things (IoT), and edge AI.

Welcome to our Intelligent Systems Laboratory!

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Publications ( show selected / show all )
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
Baichuan Huang, Amir Aminifar
Accepted by AAAI 2025
The 39th Annual AAAI Conference on Artificial Intelligence (Acceptance Rate: 23.4%)
code/ poster

We propose a memory-efficient forward-only algorithm called TinyFoA, to reduce dynamic memory overhead in the training process.

Binary Forward-Only Algorithms
Baichuan Huang, Amir Aminifar
Special Issue on "tinyML – The ecosystem for next generation ML systems", 2025
IEEE Design & Test
paper/ code

We investigate and compare BP and forward-only algorithms in terms of binarization, finding that PEPITA and FF are more vulnerable to binary activations.

Efficient On-Device Machine Learning with a Biologically-Plausible Forward-Only Algorithm
Baichuan Huang (Artifact Evaluation Committee), Amir Aminifar
Accepted by MLSys 2025
The Eighth Annual Conference on Machine Learning and Systems (Acceptance Rate: 22%)
code

We propose a biologically-plausible forward-only algorithm (Bio-FO), not only addressing the biological-implausibility issues associated with BP, but also outperforming the state-of-the-art forward-only algorithms.

Energy-Aware Integrated Neural Architecture Search and Partitioning for Distributed Internet of Things (IoT)
Baichuan Huang, Azra Abtahi, Amir Aminifar
The inaugural issue of TCASAI, 2024
IEEE Transactions on Circuits and Systems for Artificial Intelligence
paper

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.

LightFF: Lightweight Inference for Forward-Forward Algorithm
Amin Aminifar*, Baichuan Huang*, Azra Abtahi, Amir Aminifar (*Equal contribution)
Accepted by ECAI 2024
The 27th European Conference on Artificial Intelligence (Acceptance Rate: 23%)
paper/ code/ slides/ poster

We propose a lightweight inference scheme specifically designed for DNNs trained using the Forward-Forward algorithm ( Contributor to the Forward-Forward repository ... ).

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems
Baichuan Huang, Renato Zanetti, Azra Abtahi Fahliani, David Atienza, Amir Aminifar
Accepted by AICAS 2023
IEEE 5th International Conference on Artificial Intelligence Circuits and Systems
paper/ slides

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)

Lightweight Machine Learning for Seizure Detection on Wearable Devices
Baichuan Huang, Azra Abtahi Fahliani, Amir Aminifar
Top-5 Ranking in the Seizure Detection Challenge (Challenge Link)
Accepted by ICASSP 2023
IEEE International Conference on Acoustics, Speech, and Signal Processing
paper/ slides

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

M3VSNet: Unsupervised Multi-metric Multi-view Stereo Network
Baichuan Huang, Hongwei Yi, Can Huang, Yijia He, Jingbin Liu, Xiao Liu
Accepted by ICIP 2021
IEEE International Conference on Image Processing
paper/ code (... ) / slides/ poster/

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

A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks
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.

A Robust Indoor Positioning Method based on Bluetooth Low Energy with Separate Channel Information
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.

AOA Estimation Based on Channel State Information Extracted from WiFi with Double Antenna
Jingbin Liu, Baichuan Huang, Bin Zhang
Geomatics and Information Science of Wuhan University, 2018
paper

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

Education/Experiences

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Lund University
(QS World Ranking 75 in 2025)

Ph.D. student
Apr. 2022 ~ Now

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

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Wuhan University
(Top 10 in China
Project 985)

M.Sc.
Sep. 2018 ~ June. 2021

B.Eng.
Sep. 2014 ~ Jun. 2018

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Nanyang Technological University
(QS World Ranking 11 in 2021)

Research Intern
Jul. 2019 ~ Oct. 2019

Professional Service

Presentation: :
2025.02.28: Poster Presentation at AAAI 2025, Philadelphia, Pennsylvania, the USA
2024.10.21-10.24: Oral Presentation and Outreach Activity at ECAI 2024, Santiago de Compostela, Spain
2024.09.26: Pitch Presentation at Politecnico di Milano, Milano, Italy
2024.09.24: Pitch Presentation at University of Modena, Modena, Italy
2024.09.19-09.20: Pitch and Poster Presentation in Engineering Health Fall meet 2024, Helsingborg, Sweden
2023.10.24-10.27: Poster and Workshop Presentation at Natural and Artificial Cognition II, AI Lund, Lund, Sweden
2023.09.29: Poster Presentation at Schwarzman College of Computing, MIT, Boston, the USA
2023.06.11-06.13: Oral Presentation at AICAS 2023, Hangzhou, China
2023.06.04-06.10: Oral Presentation at ICASSP 2023, Rhodes Island, Greece
2021.09.19-09.22: Oral Presentation at ICIP 2021, Anchorage, Alaska, the USA (Hybrid)

Teaching Duty: :
2023: Machine Learning for Internet of Things (IoT) (EITP40): Kaggle Competition, supervision of students' project
2023-2024: Signal Processing in Multimedia (EITA50): Course Homepage
2022: Machine Learning for Internet of Things (IoT) (EITP40): Kaggle Competition

Reviewer: :
2025: Artifact Evaluation of The Conference on Machine Learning and Systems (MLSys 2025)
2024: Epilepsy & Behavior (Journal, Q2)
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)

Grants: :
Young Researchers - PhD Students from The Royal Physiographic Society of Lund (20000 SEK)

Awards

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
2017.11: National Second Prize in China Undergraduate Mathematical Contest in Modelling, issued by China Society for Industrial and Applied Mathematics

Others

I like swimming.



Last update: Feb 2025. / Thanks for the template.