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 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.

Research Interests
  • 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

Education
  • Doctor of Philosophy, 2020

    National University of Singapore

  • BEng in Electrical Engineering, 2016

    National University of Singapore

Contact

Experience

 
 
 
 
 
Assistant Professor
2022 – Present Hong Kong
 
 
 
 
 
Research Scientist
2021 – 2022 Singapore

Editorial Service

Associate Editor
Associate Editor

Professional Service

Executive Committee Member
Organizer

Research Team

Postdoc Fellows

Yao LI

Research Interests

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Intelligent Information Processing

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Brain-computer Interface

Xingyu WU

Research Interests

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Large Foundation Models

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Causality-based Machine Learning

Rui LIU

Research Interests

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Deep Learning

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Neuroimaging Analysis

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Medical Image Computing

PhD Students

Ruofan YAN

Research Interests

-  

Brain-computer Interface

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Computational Audition

Zhige CHEN

Research Interests

-  

Brain-computer Interface

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EEG Signal Processing

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Deep Transfer Learning

Xianwei CHEN

Research Interests

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Embodied Intelligence

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Learning for Robotics

Yuhong CHOU

Research Interests

-  

Linear Fundation Models

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Large Language Models

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Conditional Computation

Beichen HUANG

Research Interests

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High-performance Evolutionary Computation

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Neuro-evolution

Yinsong YAN

Research Interests

-  

Brain-inspired Computing

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Spiking Neural Networks

Yu ZHOU

Research Interests

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Federated Learning

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Evolutionary Computation

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Deep Reinforcement Learning

Ziyuan YE

Research Interests

-  

NeuroAI

-  

AGI

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Deep Learning

Yajie ZHANG

Research Interests

-  

Multimodal Biomedical AI

-  

Causal Inference

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Domain Adaptation

Xiang HAO

Research Interests

-  

Audio/Speech Signal Processing

Xinyi CHEN

Research Interests

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Neuromorphic Computing

-  

Spiking Neural Networks

Chenxiang MA

Research Interests

-  

Spiking Neural Network

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Local Learning

Zeyang SONG

Research Interests

-  

Speech Processing

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Spiking Neural Network

Qu YANG

Research Interests

-  

Spiking Neural Networks

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Neural Coding

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Neuromorphic Computing

Research Assistant

Di XU

Research Interests

-  

Automatic Speech Recognition

Yufei ZHANG

Research Interests

-  

Audio/Speech Signal Processing

Mengqi XU

Research Interests

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Machine Learning

Shimin ZHANG

Research Interests

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Spiking Neural Networks

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Audio Signal Processing

Award

Best Paper Award
Track 1 (Algorithmic) Winner with Cash Prize of USD 15,000
Second Prize of Final Contest with Cash Prize of RMB 60,000
President’s Graduate Fellowship
First Prize of Final Contest with Cash Prize of RMB 100,000
Best Presentation Award
NUS Research Scholarship

Recent Publications

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(2024). Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate. IEEE Transactions on Neural Networks and Learning Systems.

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(2024). Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. in The 33rd International Joint Conference on Artificial Intelligence, Jeju, Korea. (Accepted).

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(2024). Scaling Supervised Local Learning with Augmented Auxiliary Networks. in International Conference on Learning Representations. (Accepted).

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(2024). Asymmetric Source-Free Unsupervised Domain Adaptation for Medical Image Diagnosis. in 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, pp. 234-239, IEEE..

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(2024). Delay learning based on temporal coding in Spiking Neural Networks. Neural Networks.

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