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 NeurIPS, AAAI, TPAMI, TNNLS, TASLP, Neurocomputing, and IEEE JSTSP. 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.
Learning Algorithms for Spiking Neural Networks, Neural Coding, Brain-inspired Neural Architecture Design
Human Auditory System Modelling, Auditory Attention Modelling, Cocktail Party Problem
Automatic Speech Recognition, Speech Separation, Speaker Extraction, Speaker Verification, etc.
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
Hung Hom, Kowloon, Hong Kong
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Intelligent Information Processing
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Brain-computer Interface
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Large Foundation Models
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Causality-based Machine Learning
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Deep Learning
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Neuroimaging Analysis
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Medical Image Computing
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Brain-computer Interface
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Computational Audition
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Brain-computer Interface
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EEG Signal Processing
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Deep Transfer Learning
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Embodied Intelligence
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Learning for Robotics
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Linear Fundation Models
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Large Language Models
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Conditional Computation
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High-performance Evolutionary Computation
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Neuro-evolution
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Brain-inspired Computing
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Spiking Neural Networks
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Federated Learning
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Evolutionary Computation
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Deep Reinforcement Learning
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NeuroAI
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AGI
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Deep Learning
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Multimodal Biomedical AI
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Causal Inference
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Domain Adaptation
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Audio/Speech Signal Processing
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Neuromorphic Computing
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Spiking Neural Networks
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Spiking Neural Network
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Local Learning
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Speech Processing
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Spiking Neural Network
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Spiking Neural Networks
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Neural Coding
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Neuromorphic Computing
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Automatic Speech Recognition
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Audio/Speech Signal Processing
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Machine Learning
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Spiking Neural Networks
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Audio Signal Processing