Biography
Dr. Jibin Wu is an Assistant Professor jointly appointed in the Department of Data Science and Artificial Intelligence and the Department of Computing, The Hong Kong Polytechnic University. Before joining PolyU, he was a research scientist at Sea AI Lab (SAIL) from 2021 to 2022. Dr. Wu received Bachelor and Ph.D. degrees from National University of Singapore (NUS) in 2016 and 2020, respectively.
Dr. Wu is currently affiliated with the MIND Lab@PolyU, which is dedicated to advancing the frontiers of nature-inspired artificial intelligence research. His research interests encompass a wide range of areas, focusing on brain-inspired artificial intelligence, neuromorphic computing, computational audition, speech processing, and machine learning. His primary dedication lies in unraveling the computational principles and architectures of biological brains while also striving to develop cutting-edge brain-inspired cognitive machines that possess exceptional intelligence, energy efficiency, robustness, adaptability, and explainability.
Dr. Wu has actively published in prestigious conferences and journals in artificial intelligence and speech processing, including Nature Communications, TPAMI, TNNLS, TASLP, NeurIPS, ICML, and ICLR. He is currently serving as the Associate Editors for IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cognitive and Developmental Systems.
- Computational Neuroscience
Learning Algorithms for Spiking Neural Networks, Neural Coding, Brain-inspired Neural Architecture Design
- Computational Audition
Human Auditory System Modelling, Auditory Attention Modelling, Cocktail Party Problem
- Speech Processing
Automatic Speech Recognition, Speech Separation, Speaker Extraction, Speaker Verification, etc.
- Cognitive Robot
Neuromorphic Sensing, Human-Robot Interaction, Embodied AI, Neural Cognitive Architecture
Doctor of Philosophy, 2020
National University of Singapore
BEng in Electrical Engineering, 2016
National University of Singapore
- PQ825, The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong
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Research Team
Postdoc Fellows
Xingyu WU
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Large Foundation Models
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Causality-based Machine Learning
Rui LIU
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Deep Learning
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Neuroimaging Analysis
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Medical Image Computing
PhD Students
Chengzhi JI
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Brain-inspired Computing
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Large Foundation Models
Ling Wang
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Multimodal LLMs
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Bio-inspired Deep Learning
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Embodied Intelligence
Hanglei ZHANG
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Audio/Speech Signal Processing
Shimin ZHANG
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Spiking Neural Network
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Audio Signal Processing
Yufei ZHANG
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Audio/Speech Signal Processing
Ruofan YAN
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Brain-computer Interface
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Computational Audition
Zhige CHEN
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Brain-computer Interface
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EEG Signal Processing
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Deep Transfer Learning
Xianwei CHEN
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Embodied Intelligence
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Learning for Robotics
Yuhong CHOU
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Linear Fundation Models
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Large Language Models
Beichen HUANG
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High-performance Evolutionary Computation
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Neuro-evolution
Yinsong YAN
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Brain-inspired Computing
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Spiking Neural Networks
Yu ZHOU
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Federated Learning
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Evolutionary Computation
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Deep Reinforcement Learning
Ziyuan YE
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NeuroAI
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AGI
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Deep Learning
Xiang HAO
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Audio/Speech Signal Processing
Xinyi CHEN
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Neuromorphic Computing
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Spiking Neural Network
Chenxiang MA
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Spiking Neural Network
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Local Learning
Zeyang SONG
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Speech Processing
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Spiking Neural Network
Research Assistants
Zehao LIU
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Large Language Model
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Machine Learning System
Wenlong YOU
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Multimodal Learning
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Brain Computer Interface
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Signal Processing
Shu PENG
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EEG Source Imaging
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Brain Computer Interface
Mengqi XU
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Machine Learning