Jibin Wu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 54

Top Topics

Spiking Neural Networks

Hybrid Learning

Biologically Plausible

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan
Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR (2024)
Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models. CoRR (2024)
Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. CoRR (2024)
Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li
Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. ICASSP (2024)
Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. CoRR (2024)
Chenxiang Ma, Jibin Wu, Chenyang Si, K. C. Tan
Scaling Supervised Local Learning with Augmented Auxiliary Networks. ICLR (2024)
Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan
Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators. CoRR (2024)
Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR (2024)
Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li
Event-Driven Learning for Spiking Neural Networks. CoRR (2024)
Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. CoRR (2024)
Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. AAAI (2024)
Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. CoRR (2024)
Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan
AS-LLM: When Algorithm Selection Meets Large Language Model. CoRR (2023)
Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li
Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks. CoRR (2023)
Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. CoRR (2023)
Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren
Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate. CoRR (2023)
Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR (2023)
Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. CoRR (2023)
Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. CoRR (2023)
Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. CoRR (2023)
Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. CoRR (2023)
Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li
A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding. ICASSP (2022)
Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan
Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
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
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
Training Spiking Neural Networks with Local Tandem Learning. NeurIPS (2022)
Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
Training Spiking Neural Networks with Local Tandem Learning. CoRR (2022)
Zihan Pan, Malu Zhang, Jibin Wu, Jiadong Wang, Haizhou Li
Multi-Tone Phase Coding of Interaural Time Difference for Sound Source Localization With Spiking Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Chenglin Xu, Wei Rao, Jibin Wu, Haizhou Li
Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech. CoRR (2021)
Qi Liu, Jibin Wu
Parameter Tuning-Free Missing-Feature Reconstruction for Robust Sound Recognition. IEEE J. Sel. Top. Signal Process. 15 (1) (2021)
Jibin Wu, Qi Liu, Malu Zhang, Zihan Pan, Haizhou Li, Kay Chen Tan
HuRAI: A brain-inspired computational model for human-robot auditory interface. Neurocomputing 465 (2021)
Chenglin Xu, Wei Rao, Jibin Wu, Haizhou Li
Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Qu Yang, Jibin Wu, Haizhou Li
Rethinking Benchmarks for Neuromorphic Learning Algorithms. IJCNN (2021)
Emre Yilmaz, Özgür Bora Gevrek, Jibin Wu, Yuxiang Chen, Xuanbo Meng, Haizhou Li
Deep Convolutional Spiking Neural Networks for Keyword Spotting. INTERSPEECH (2020)
Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. CoRR (2020)
Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network. CoRR (2020)
Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li
Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing 409 (2020)
Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li
An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing. IEEE J. Sel. Top. Signal Process. 14 (3) (2020)
Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. CoRR (2020)
Srivatsa P, Kyle Timothy Ng Chu, Yaswanth Tavva, Jibin Wu, Malu Zhang, Haizhou Li, Trevor E. Carlson
You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy. CoRR (2020)
Wubin Ma, Rui Wang, Weichao Wang, Su Deng, Hongbin Huang, Tao Zhang, Jibin Wu
Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization. CEC (2019)
Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. CoRR (2019)
Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li
Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR (2019)
Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua
Competitive STDP-based Feature Representation Learning for Sound Event Classification. IJCNN (2019)
Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah
An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. CoRR (2019)
Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua
Neural Population Coding for Effective Temporal Classification. IJCNN (2019)
Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li
Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN (2019)
Zihan Pan, Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li
Neural Population Coding for Effective Temporal Classification. CoRR (2019)
Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li
Robust Sound Recognition: A Neuromorphic Approach. INTERSPEECH (2019)
Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR (2019)
Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. AAAI (2019)
Jibin Wu, Yansong Chua, Haizhou Li
A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks. IJCNN (2018)
Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua
An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals. IJCNN (2018)