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2020 – today
- 2024
[j11]Pengfei Sun, Jibin Wu, Malu Zhang
, Paul Devos, Dick Botteldooren:
Delay learning based on temporal coding in Spiking Neural Networks. Neural Networks 180: 106678 (2024)- [j10]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): 3064-3078 (2024) - [c16]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: 16838-16847 - [c15]Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li:
Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. ICASSP 2024: 226-230 - [c14]Chenxiang Ma, Jibin Wu, Chenyang Si, K. C. Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. ICLR 2024 - [c13]Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan:
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. IJCNN 2024: 1-8 - [i31]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 abs/2401.10034 (2024) - [i30]Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan:
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. CoRR abs/2402.15969 (2024) - [i29]Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR abs/2402.17318 (2024) - [i28]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 abs/2403.00270 (2024) - [i27]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 abs/2404.06290 (2024) - [i26]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 abs/2404.06349 (2024) - [i25]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 abs/2405.11349 (2024) - [i24]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 abs/2406.08987 (2024) - [i23]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 abs/2406.13179 (2024) - [i22]Xinyi Chen, Jibin Wu, Chenxiang Ma, Yinsong Yan, Yujie Wu, Kay Chen Tan:
PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. CoRR abs/2408.14917 (2024) - [i21]Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li:
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. CoRR abs/2408.14925 (2024) - 2023
- [j9]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): 446-460 (2023) - [i20]Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan:
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. CoRR abs/2305.16594 (2023) - [i19]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR abs/2307.07231 (2023) - [i18]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 abs/2308.13250 (2023) - [i17]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 abs/2308.15150 (2023) - [i16]Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li:
Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks. CoRR abs/2309.09469 (2023) - [i15]Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan:
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. CoRR abs/2310.07284 (2023) - [i14]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 abs/2310.14978 (2023) - [i13]Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren:
Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate. CoRR abs/2310.14982 (2023) - [i12]Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan:
AS-LLM: When Algorithm Selection Meets Large Language Model. CoRR abs/2311.13184 (2023) - 2022
- [j8]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): 7824-7840 (2022) - [j7]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): 1947-1958 (2022) - [c12]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: 8942-8946 - [c11]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. NeurIPS 2022 - [i11]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. CoRR abs/2210.04532 (2022) - 2021
- [j6]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: 103-113 (2021) - [j5]Qi Liu, Jibin Wu:
Parameter Tuning-Free Missing-Feature Reconstruction for Robust Sound Recognition. IEEE J. Sel. Top. Signal Process. 15(1): 78-89 (2021) - [j4]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: 2656-2670 (2021) - [j3]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: 2696-2709 (2021) - [c10]Qu Yang, Jibin Wu, Haizhou Li:
Rethinking Benchmarks for Neuromorphic Learning Algorithms. IJCNN 2021: 1-8 - [i10]Chenglin Xu, Wei Rao, Jibin Wu, Haizhou Li:
Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech. CoRR abs/2103.16269 (2021) - 2020
- [j2]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: 103-118 (2020) - [j1]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): 592-602 (2020) - [c9]Emre Yilmaz, Özgür Bora Gevrek, Jibin Wu, Yuxiang Chen, Xuanbo Meng, Haizhou Li:
Deep Convolutional Spiking Neural Networks for Keyword Spotting. INTERSPEECH 2020: 2557-2561 - [i9]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 abs/2003.11837 (2020) - [i8]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 abs/2006.09982 (2020) - [i7]Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan:
Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. CoRR abs/2007.01204 (2020) - [i6]Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li:
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network. CoRR abs/2007.03274 (2020)
2010 – 2019
- 2019
- [c8]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: 1327-1334 - [c7]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: 3341-3347 - [c6]Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua:
Neural Population Coding for Effective Temporal Classification. IJCNN 2019: 1-8 - [c5]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN 2019: 1-6 - [c4]Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua:
Competitive STDP-based Feature Representation Learning for Sound Event Classification. IJCNN 2019: 1-8 - [c3]Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li:
Robust Sound Recognition: A Neuromorphic Approach. INTERSPEECH 2019: 3667-3668 - [i5]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR abs/1902.05705 (2019) - [i4]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 abs/1907.01167 (2019) - [i3]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 abs/1909.01302 (2019) - [i2]Zihan Pan, Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li:
Neural Population Coding for Effective Temporal Classification. CoRR abs/1909.08018 (2019) - [i1]Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan:
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. CoRR abs/1911.08373 (2019) - 2018
- [c2]Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua:
An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals. IJCNN 2018: 1-8 - [c1]Jibin Wu, Yansong Chua, Haizhou Li:
A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks. IJCNN 2018: 1-8
Coauthor Index
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last updated on 2024-10-07 22:14 CEST by the dblp team
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