Scholar
Baichuan Huang
Google Scholar ID: UkGM5moAAAAJ
Lund University
Citations & Impact
Citations
397
H-index
5
i10-index
4
Publications
12
Co-authors
12
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- BEFT: Bias-Efficient Fine-Tuning of Language Models
- TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
- Binary Forward-Only Algorithms
- Efficient On-Device Machine Learning with a Biologically-Plausible Forward-Only Algorithm
- Energy-Aware Integrated Neural Architecture Search and Partitioning for Distributed Internet of Things (IoT)
- LightFF: Lightweight Inference for Forward-Forward Algorithm
- EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems
Research Experience
- Works at the Intelligent Systems Laboratory, focusing on research areas such as efficient algorithms and on-device learning.
Education
- Ph.D. student in the Department of Electrical and Information Technology, LTH, at Lund University, Sweden, working with Asst. Prof. Amir Aminifar.
Background
- Research interests include efficient training and inference, bio-inspired deep learning, Internet of Things (IoT), and edge AI.
Miscellany
- Welcome to our Intelligent Systems Laboratory! You can contact via Email, Github, Google Scholar, or LinkedIn.
