Jibin Wu - RankMe

107 papers A* 12A 3B 8Misc 2Journal 78Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive dendritic plasticity in brain-inspired dynamic neural networks for enhanced multi-timescale feature extraction. Neural Networks Jiayi Mao, Hanle Zheng, Huifeng Yin, Hanxiao Fan, Lingrui Mei, Hao Guo, Yao Li, Jibin Wu, Jing Pei, Lei Deng
2026	J	`jnl`	Advancing the forward-forward algorithm towards high-performance deep local learning. Neural Networks Siyuan Xu, Yujie Wu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li
2026	J	`jnl`	Autonomous Multiobjective Optimization Using Large Language Model. IEEE Trans. Evol. Comput. Yuxiao Huang, Shenghao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan
2026	A*	`conf`	HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference. AAAI Hanwen Liu, Kexin Shi, Jieyuan Zhang, Yimeng Shan, Jibin Wu, Wenyu Chen, Malu Zhang
2026	J	`jnl`	IML-Spikeformer: Input-Aware Multilevel Spiking Transformer for Speech Processing. IEEE Trans. Neural Networks Learn. Syst. Zeyang Song, Shimin Zhang, Yuhong Chou, Jibin Wu, Haizhou Li
2026	J	`jnl`	SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform. IEEE Trans. Neural Networks Learn. Syst. Shuai Wang, Haorui Zheng, Yukun Chen, Ammar Belatreche, Guoqing Wang, Yeying Jin, Jibin Wu, Malu Zhang, Yang Yang, Haizhou Li
2026	J	`jnl`	SpikingBrain: Spiking Brain-inspired Large Models. Trans. Mach. Learn. Res. Yuqi Pan, Yupeng Feng, Jinghao Zhuang, Siyu Ding, Han Xu, Zehao Liu, Bohan Sun, Yuhong Chou, Xuerui Qiu, Anlin Deng, Anjie Hu, Shurong Wang, Peng Zhou, Man Yao, Jibin Wu, Jian Yang, Bo Xu, Guoqi Li
2026	J	`jnl`	Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. IEEE Trans. Cogn. Dev. Syst. Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan
2025	J	`jnl`	A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification. Neural Networks Ruofan Yan, Na Lu, Yuxuan Yan, Xu Niu, Jibin Wu
2025	J	`jnl`	CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. Medical Image Anal. Yajie Zhang, Yu-An Huang, Yao Hu, Rui Liu, Jibin Wu, Zhi-An Huang, Kay Chen Tan
2025	J	`jnl`	Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate. IEEE Trans. Neural Networks Learn. Syst. Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren
2025	J	`jnl`	Diversity-Aware Policy Optimization for Large Language Model Reasoning. CoRR Jian Yao, Ran Cheng, Xingyu Wu, Jibin Wu, Kay Chen Tan
2025	J	`jnl`	Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. IEEE Trans. Cybern. Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan
2025	J	`jnl`	Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning. CoRR Chenxiang Ma, Xinyi Chen, Yujie Wu, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	Evaluation of Large Language Models as Solution Generators in Complex Optimization. IEEE Comput. Intell. Mag. Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
2025	J	`jnl`	EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation. CoRR Hanle Zheng, Xujie Han, Zegang Peng, Shangbin Zhang, Guangxun Du, Zhuo Zou, Xilin Wang, Jibin Wu, Hao Guo, Lei Deng
2025	J	`jnl`	Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. IEEE Trans. Evol. Comput. Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2025	J	`jnl`	IML-Spikeformer: Input-aware Multi-Level Spiking Transformer for Speech Processing. CoRR Zeyang Song, Shimin Zhang, Yuhong Chou, Jibin Wu, Haizhou Li
2025	J	`jnl`	ISTASTrack: Bridging ANN and SNN via ISTA Adapter for RGB-Event Tracking. CoRR Siying Liu, Zikai Wang, Hanle Zheng, Yifan Hu, Xilin Wang, Qingkai Yang, Jibin Wu, Hao Guo, Lei Deng
2025	A*	`conf`	KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling. ICML Shimin Zhang, Ziyuan Ye, Yinsong Yan, Zeyang Song, Yujie Wu, Jibin Wu
2025	J	`jnl`	LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery. CoRR Xingyu Wu, Kui Yu, Jibin Wu, Kay Chen Tan
2025	A*	`conf`	MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. IJCAI Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu
2025	J	`jnl`	MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. CoRR Wei Hua, Chenlin Zhou, Jibin Wu, Yansong Chua, Yangyang Shu
2025	A*	`conf`	Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. IJCAI Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. CoRR Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	ReLaX: Reasoning with Latent Exploration for Large Reasoning Models. CoRR Shimin Zhang, Xianwei Chen, Yufan Shen, Ziyuan Ye, Jibin Wu
2025	J	`jnl`	Spatio-Temporal Decoupled Learning for Spiking Neural Networks. CoRR Chenxiang Ma, Xinyi Chen, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. CoRR Chenxiang Ma, Xinyi Chen, Yanchen Li, Qu Yang, Yujie Wu, Guoqi Li, Gang Pan, Huajin Tang, Kay Chen Tan, Jibin Wu
2025	J	`jnl`	SpikingBrain Technical Report: Spiking Brain-inspired Large Models. CoRR Yuqi Pan, Yupeng Feng, Jinghao Zhuang, Siyu Ding, Zehao Liu, Bohan Sun, Yuhong Chou, Han Xu, Xuerui Qiu, Anlin Deng, Anjie Hu, Peng Zhou, Man Yao, Jibin Wu, Jian Yang, Guoliang Sun, Bo Xu, Guoqi Li
2025	J	`jnl`	Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models. IEEE Trans. Neural Networks Learn. Syst. Malu Zhang, Xiaoling Luo, Jibin Wu, Ammar Belatreche, Siqi Cai, Yang Yang, Haizhou Li
2025	J	`jnl`	Toward Energy-Efficient Spike-Based Deep Reinforcement Learning With Temporal Coding. IEEE Comput. Intell. Mag. Malu Zhang, Shuai Wang, Jibin Wu, Wenjie Wei, Dehao Zhang, Zijian Zhou, Siying Wang, Fan Zhang, Yang Yang
2025	J	`jnl`	Toward Ultralow-Power Neuromorphic Speech Enhancement With Spiking-FullSubNet. IEEE Trans. Neural Networks Learn. Syst. Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan
2025	A*	`conf`	Towards Robustness and Explainability of Automatic Algorithm Selection. ICML Xingyu Wu, Jibin Wu, Yu Zhou, Liang Feng, Kc Tan
2025	J	`jnl`	Towards parameter-free attentional spiking neural networks. Neural Networks Pengfei Sun, Jibin Wu, Paul Devos, Dick Botteldooren
2025	J	`jnl`	ZeCO: Zero Communication Overhead Sequence Parallelism for Linear Attention. CoRR Yuhong Chou, Zehao Liu, Rui-Jie Zhu, Xinyi Wan, Tianjian Li, Congying Chu, Qian Liu, Jibin Wu, Zejun Ma
2024	J	`jnl`	A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan
2024	J	`jnl`	Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models. CoRR Yuxiao Huang, Xuebin Lv, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024	—	`conf`	Asymmetric Source-Free Unsupervised Domain Adaptation for Medical Image Diagnosis. CAI Yajie Zhang, Zhi-An Huang, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models. CoRR Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan
2024	J	`jnl`	Delay learning based on temporal coding in Spiking Neural Networks. Neural Networks Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren
2024	J	`jnl`	Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. CoRR Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li
2024	J	`jnl`	EEG-Based Auditory Attention Detection With Spiking Graph Convolutional Network. IEEE Trans. Cogn. Dev. Syst. Siqi Cai, Ran Zhang, Malu Zhang, Jibin Wu, Haizhou Li
2024	B	`conf`	Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. IJCNN Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. CoRR Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan
2024	—	`conf`	Enhancing Spatio-Temporal Auditory Attention Decoding with ST-AADNet. ISCSLP Ruofan Yan, Shu Peng, Zhige Chen, Zhi-An Huang, Rui Liu, Kay Chen Tan, Jibin Wu
2024	J	`jnl`	Event-Driven Learning for Spiking Neural Networks. CoRR Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li
2024	J	`jnl`	Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. CoRR Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024	J	`jnl`	Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
2024	A	`conf`	Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. INTERSPEECH Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang
2024	J	`jnl`	Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. CoRR Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang
2024	J	`jnl`	HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models. CoRR Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024	J	`jnl`	LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding. IEEE Trans. Cogn. Dev. Syst. Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li
2024	A*	`conf`	Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. IJCAI Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan
2024	A*	`conf`	MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. NeurIPS Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Jibin Wu, Yiran Zhong, Yu Qiao, Bo Xu, Guoqi Li
2024	J	`jnl`	MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. CoRR Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Rui-Jie Zhu, Yiran Zhong, Yu Qiao, Jibin Wu, Bo Xu, Guoqi Li
2024	A*	`conf`	Mixed Prototype Correction for Causal Inference in Medical Image Classification. ACM Multimedia Yajie Zhang, Zhi-An Huang, Zhiliang Hong, Songsong Wu, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. CoRR Xinyi Chen, Jibin Wu, Chenxiang Ma, Yinsong Yan, Yujie Wu, Kay Chen Tan
2024	—	`conf`	Pink-Eggs Dataset: A Step Toward Invasive Species Management Using Deep Learning Solutions. CIS-RAM Xiang Hao, Di Xu, Yang Zhao, Xin Meng, Jibin Wu
2024	A*	`conf`	Scaling Supervised Local Learning with Augmented Auxiliary Networks. ICLR Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan
2024	J	`jnl`	Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan
2024	Misc	`conf`	Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. ICASSP Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li
2024	A*	`conf`	TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. AAAI Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
2024	J	`jnl`	Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators. CoRR Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan
2024	J	`jnl`	Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet. CoRR Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan
2024	J	`jnl`	Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. CoRR Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan
2024	—	`conf`	When Audio Denoising Meets Spiking Neural Network. CAI Xiang Hao, Chenxiang Ma, Qu Yang, Kay Chen Tan, Jibin Wu
2023	J	`jnl`	A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. CoRR Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan
2023	J	`jnl`	A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
2023	J	`jnl`	AS-LLM: When Algorithm Selection Meets Large Language Model. CoRR Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan
2023	J	`jnl`	Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate. CoRR Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren
2023	J	`jnl`	LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. CoRR Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li
2023	J	`jnl`	Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
2023	J	`jnl`	Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks. CoRR Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li
2023	J	`jnl`	TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. CoRR Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan
2023	J	`jnl`	Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction. CoRR Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, Kay Chen Tan
2023	J	`jnl`	Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding. CoRR Xinyi Chen, Jibin Wu, Huajin Tang, Qinyuan Ren, Kay Chen Tan
2022	Misc	`conf`	A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding. ICASSP Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li
2022	J	`jnl`	Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan
2022	J	`jnl`	Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 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
2022	A*	`conf`	Training Spiking Neural Networks with Local Tandem Learning. NeurIPS Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
2022	J	`jnl`	Training Spiking Neural Networks with Local Tandem Learning. CoRR Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
2021	J	`jnl`	HuRAI: A brain-inspired computational model for human-robot auditory interface. Neurocomputing Jibin Wu, Qi Liu, Malu Zhang, Zihan Pan, Haizhou Li, Kay Chen Tan
2021	J	`jnl`	Multi-Tone Phase Coding of Interaural Time Difference for Sound Source Localization With Spiking Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. Zihan Pan, Malu Zhang, Jibin Wu, Jiadong Wang, Haizhou Li
2021	J	`jnl`	Parameter Tuning-Free Missing-Feature Reconstruction for Robust Sound Recognition. IEEE J. Sel. Top. Signal Process. Qi Liu, Jibin Wu
2021	B	`conf`	Rethinking Benchmarks for Neuromorphic Learning Algorithms. IJCNN Qu Yang, Jibin Wu, Haizhou Li
2021	J	`jnl`	Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech. IEEE ACM Trans. Audio Speech Lang. Process. Chenglin Xu, Wei Rao, Jibin Wu, Haizhou Li
2021	J	`jnl`	Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech. CoRR Chenglin Xu, Wei Rao, Jibin Wu, Haizhou Li
2020	J	`jnl`	An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing. IEEE J. Sel. Top. Signal Process. Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li
2020	A	`conf`	Deep Convolutional Spiking Neural Networks for Keyword Spotting. INTERSPEECH Emre Yilmaz, Özgür Bora Gevrek, Jibin Wu, Yuxiang Chen, Xuanbo Meng, Haizhou Li
2020	J	`jnl`	Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network. CoRR Zihan Pan, Malu Zhang, Jibin Wu, Haizhou Li
2020	J	`jnl`	Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. CoRR Jibin Wu, Chenglin Xu, Daquan Zhou, Haizhou Li, Kay Chen Tan
2020	J	`jnl`	Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. CoRR Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li
2020	J	`jnl`	Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li
2020	J	`jnl`	You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy. CoRR Srivatsa P, Kyle Timothy Ng Chu, Yaswanth Tavva, Jibin Wu, Malu Zhang, Haizhou Li, Trevor E. Carlson
2019	J	`jnl`	A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
2019	J	`jnl`	An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. CoRR Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah
2019	B	`conf`	Competitive STDP-based Feature Representation Learning for Sound Event Classification. IJCNN Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua
2019	B	`conf`	Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li
2019	J	`jnl`	Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li
2019	J	`jnl`	Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. CoRR Jibin Wu, Emre Yilmaz, Malu Zhang, Haizhou Li, Kay Chen Tan
2019	B	`conf`	Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization. CEC Wubin Ma, Rui Wang, Weichao Wang, Su Deng, Hongbin Huang, Tao Zhang, Jibin Wu
2019	A*	`conf`	MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. AAAI Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li
2019	B	`conf`	Neural Population Coding for Effective Temporal Classification. IJCNN Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua
2019	J	`jnl`	Neural Population Coding for Effective Temporal Classification. CoRR Zihan Pan, Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li
2019	A	`conf`	Robust Sound Recognition: A Neuromorphic Approach. INTERSPEECH Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li
2018	B	`conf`	A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks. IJCNN Jibin Wu, Yansong Chua, Haizhou Li
2018	B	`conf`	An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals. IJCNN Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua