Jibin Wu

According to our database, Jibin Wu authored at least 58 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding.

Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li

IEEE Trans. Cogn. Dev. Syst., October, 2024

EEG-Based Auditory Attention Detection With Spiking Graph Convolutional Network.

Siqi Cai, Ran Zhang, Malu Zhang, Jibin Wu, Haizhou Li

IEEE Trans. Cogn. Dev. Syst., October, 2024

A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks.

Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Delay learning based on temporal coding in Spiking Neural Networks.

Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren

Neural Networks, 2024

MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map.

Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Yiran Zhong, Yu Qiao, Jibin Wu, Bo Xu, Guoqi Li

CoRR, 2024

Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet.

Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan

CoRR, 2024

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models.

Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models.

Yuxiao Huang, Xuebin Lv, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning.

Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li

CoRR, 2024

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing.

Xinyi Chen, Jibin Wu, Chenxiang Ma, Yinsong Yan, Yujie Wu, Kay Chen Tan

CoRR, 2024

Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting.

Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang

CoRR, 2024

Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators.

Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection.

Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan

CoRR, 2024

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models.

Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.

Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan

CoRR, 2024

Event-Driven Learning for Spiking Neural Networks.

Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li

CoRR, 2024

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap.

Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan

CoRR, 2024

Pink-Eggs Dataset: A Step Toward Invasive Species Management Using Deep Learning Solutions.

Xiang Hao, Di Xu, Yang Zhao, Xin Meng, Jibin Wu

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

Mixed Prototype Correction for Causal Inference in Medical Image Classification.

Yajie Zhang, Zhi-An Huang, Zhiliang Hong, Songsong Wu, Jibin Wu, Kay Chen Tan

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons.

Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan

Proceedings of the International Joint Conference on Neural Networks, 2024

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation.

Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Scaling Supervised Local Learning with Augmented Auxiliary Networks.

Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks.

Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li

Proceedings of the IEEE International Conference on Acoustics, 2024

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling.

Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks.

Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., 2023

AS-LLM: When Algorithm Selection Meets Large Language Model.

Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan

CoRR, 2023

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate.

Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren

CoRR, 2023

LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding.

Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li

CoRR, 2023

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction.

Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan

CoRR, 2023

Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding.

Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan

CoRR, 2023

Long Short-term Memory with Two-Compartment Spiking Neuron.

Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan

CoRR, 2023

2022

Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks.

Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E. Carlson, Haizhou Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks.

Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Training Spiking Neural Networks with Local Tandem Learning.

Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding.

Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech.

Chenglin Xu, Wei Rao, Jibin Wu, Haizhou Li

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Multi-Tone Phase Coding of Interaural Time Difference for Sound Source Localization With Spiking Neural Networks.

Zihan Pan, Malu Zhang, Jibin Wu, Jiadong Wang, Haizhou Li

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Parameter Tuning-Free Missing-Feature Reconstruction for Robust Sound Recognition.

Qi Liu, Jibin Wu

IEEE J. Sel. Top. Signal Process., 2021

HuRAI: A brain-inspired computational model for human-robot auditory interface.

Jibin Wu, Qi Liu, Malu Zhang, Zihan Pan, Haizhou Li, Kay Chen Tan

Neurocomputing, 2021

Rethinking Benchmarks for Neuromorphic Learning Algorithms.

Qu Yang, Jibin Wu, Haizhou Li

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing.

Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li

IEEE J. Sel. Top. Signal Process., 2020

Supervised learning in spiking neural networks with synaptic delay-weight plasticity.

Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li

Neurocomputing, 2020

Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network.

Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li

CoRR, 2020

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks.

Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan

CoRR, 2020

You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy.

Srivatsa P, Kyle Timothy Ng Chu, Yaswanth Tavva, Jibin Wu, Malu Zhang, Haizhou Li, Trevor E. Carlson

CoRR, 2020

Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks.

Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li

CoRR, 2020

Deep Convolutional Spiking Neural Networks for Keyword Spotting.

Emre Yilmaz, Özgür Bora Gevrek, Jibin Wu, Yuxiang Chen, Xuanbo Meng, Haizhou Li

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition.

Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan

CoRR, 2019

An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks.

Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah

CoRR, 2019

A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks.

Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan

CoRR, 2019

Robust Sound Recognition: A Neuromorphic Approach.

Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Competitive STDP-based Feature Representation Learning for Sound Event Classification.

Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Spiking Neural Network with Spike Count based Learning Rule.

Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li

Proceedings of the International Joint Conference on Neural Networks, 2019

Neural Population Coding for Effective Temporal Classification.

Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua

Proceedings of the International Joint Conference on Neural Networks, 2019

Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization.

Wubin Ma, Rui Wang, Weichao Wang, Su Deng, Hongbin Huang, Tao Zhang, Jibin Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons.

Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks.

Jibin Wu, Yansong Chua, Haizhou Li

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals.

Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018