An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals. - Zihan Pan; Haizhou Li 001; Jibin Wu; Yansong Chua (IJCNN, 2018)

A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks. - Jibin Wu; Yansong Chua; Haizhou Li 001 (IJCNN, 2018)

MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. - Malu Zhang; Jibin Wu; Yansong Chua; Xiaoling Luo 001; Zihan Pan; Dan Liu; Haizhou Li 001 (AAAI, 2019)

Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization. - Wubin Ma; Rui Wang 017; Weichao Wang; Su Deng; Hongbin Huang; Tao Zhang 033; Jibin Wu (CEC, 2019)

Neural Population Coding for Effective Temporal Classification. - Zihan Pan; Jibin Wu; Malu Zhang; Haizhou Li 001; Yansong Chua (IJCNN, 2019)

Deep Spiking Neural Network with Spike Count based Learning Rule. - Jibin Wu; Yansong Chua; Malu Zhang; Qu Yang; Guoqi Li; Haizhou Li 001 (IJCNN, 2019)

Competitive STDP-based Feature Representation Learning for Sound Event Classification. - Jibin Wu; Malu Zhang; Haizhou Li 001; Yansong Chua (IJCNN, 2019)

Robust Sound Recognition: A Neuromorphic Approach. - Jibin Wu; Zihan Pan; Malu Zhang; Rohan Kumar Das; Yansong Chua; Haizhou Li 001 (INTERSPEECH, 2019)

A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. - Jibin Wu; Yansong Chua; Malu Zhang; Guoqi Li; Haizhou Li 001; 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 001; Eliathamby Ambikairajah (CoRR, 2019)

Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition. - Jibin Wu; Emre Yilmaz 001; Malu Zhang; Haizhou Li 001; Kay Chen Tan (CoRR, 2019)

Deep Convolutional Spiking Neural Networks for Keyword Spotting. - Emre Yilmaz 001; Özgür Bora Gevrek; Jibin Wu; Yuxiang Chen; Xuanbo Meng; Haizhou Li 001 (INTERSPEECH, 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 001 (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 001; Trevor E. Carlson (CoRR, 2020)

Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks. - Jibin Wu; Chenglin Xu; Daquan Zhou; Haizhou Li 001; Kay Chen Tan (CoRR, 2020)

Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network. - Zihan Pan; Malu Zhang; Jibin Wu; Haizhou Li 001 (CoRR, 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 001 (Neurocomputing, 2020)

An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing. - Malu Zhang; Xiaoling Luo 001; Yi Chen; Jibin Wu; Ammar Belatreche; Zihan Pan; Hong Qu; Haizhou Li 001 (IEEE J. Sel. Top. Signal Process., 2020)

Rethinking Benchmarks for Neuromorphic Learning Algorithms. - Qu Yang; Jibin Wu; Haizhou Li 001 (IJCNN, 2021)

HuRAI: A brain-inspired computational model for human-robot auditory interface. - Jibin Wu; Qi Liu 005; Malu Zhang; Zihan Pan; Haizhou Li 001; Kay Chen Tan (Neurocomputing, 2021)

Parameter Tuning-Free Missing-Feature Reconstruction for Robust Sound Recognition. - Qi Liu 005; Jibin Wu (IEEE J. Sel. Top. Signal 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 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech. - Chenglin Xu; Wei Rao 002; Jibin Wu; Haizhou Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding. - Jiadong Wang; Jibin Wu; Malu Zhang; Qi Liu 005; Haizhou Li 001 (ICASSP, 2022)

Training Spiking Neural Networks with Local Tandem Learning. - Qu Yang; Jibin Wu; Malu Zhang; Yansong Chua; Xinchao Wang; Haizhou Li 001 (NeurIPS, 2022)

Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks. - Jibin Wu; Chenglin Xu; Xiao Han; Daquan Zhou; Malu Zhang; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 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 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Long Short-term Memory with Two-Compartment Spiking Neuron. - Shimin Zhang; Qu Yang; Chenxiang Ma; Jibin Wu; Haizhou Li 001; 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)

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)

LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. - Qu Yang; Malu Zhang; Jibin Wu; Kay Chen Tan; Haizhou Li 001 (CoRR, 2023)

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate. - Pengfei Sun; Jibin Wu; Malu Zhang; Paul Devos; Dick Botteldooren (CoRR, 2023)

AS-LLM: When Algorithm Selection Meets Large Language Model. - Xingyu Wu; Yan Zhong 001; Jibin Wu; Kay Chen Tan (CoRR, 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 001; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. - Shimin Zhang; Qu Yang; Chenxiang Ma; Jibin Wu; Haizhou Li 001; Kay Chen Tan (AAAI, 2024)

Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. - Zeyang Song; Jibin Wu; Malu Zhang; Mike Zheng Shou; Haizhou Li 001 (ICASSP, 2024)

Scaling Supervised Local Learning with Augmented Auxiliary Networks. - Chenxiang Ma; Jibin Wu; Chenyang Si; Kay Chen Tan (ICLR, 2024)

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. - Xingyu Wu; Yan Zhong 001; Jibin Wu; Bingbing Jiang 001; Kay Chen Tan (IJCAI, 2024)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. - Yujia Yin; Xinyi Chen; Chenxiang Ma; Jibin Wu; Kay Chen Tan (IJCNN, 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 (INTERSPEECH, 2024)

Enhancing Spatio-Temporal Auditory Attention Decoding with ST-AADNet. - Ruofan Yan; Shu Peng; Zhige Chen; Zhi-An Huang; Rui Liu 038; Kay Chen Tan; Jibin Wu (ISCSLP, 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 (ACM Multimedia, 2024)

MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. - Yuhong Chou; Man Yao; Kexin Wang; Yuqi Pan; Rui-Jie Zhu 003; Jibin Wu; Yiran Zhong; Yu Qiao; Bo Xu 002; Guoqi Li (NeurIPS, 2024)

Pink-Eggs Dataset: A Step Toward Invasive Species Management Using Deep Learning Solutions. - Xiang Hao; Di Xu; Yang Zhao; Xin Meng; Jibin Wu (CIS-RAM, 2024)

Event-Driven Learning for Spiking Neural Networks. - Wenjie Wei; Malu Zhang; Jilin Zhang; Ammar Belatreche; Jibin Wu; Zijing Xu; Xuerui Qiu; Hong Chen 002; Yang Yang 002; Haizhou Li 001 (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 001; Ran Cheng; 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 001; Kay Chen Tan (CoRR, 2024)

Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. - Xingyu Wu; Yan Zhong 001; Jibin Wu; Yuxiao Huang; Sheng-Hao Wu; Kay Chen Tan (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 001; Kay Chen Tan (CoRR, 2024)

PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing. - Xinyi Chen; Jibin Wu; Chenxiang Ma; Yinsong Yan; Yujie Wu 002; Kay Chen Tan (CoRR, 2024)

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning. - Yujie Wu 002; Siyuan Xu; Jibin Wu; Lei Deng 003; Mingkun Xu; Qinghao Wen; Guoqi Li (CoRR, 2024)

Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models. - Yuxiao Huang; Xuebin Lv; Sheng-Hao Wu; Jibin Wu; Liang Feng 001; Kay Chen Tan (CoRR, 2024)

HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models. - Yu Zhou; Xingyu Wu; Jibin Wu; Liang Feng 001; Kay Chen Tan (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)

Delay learning based on temporal coding in Spiking Neural Networks. - Pengfei Sun; Jibin Wu; Malu Zhang; Paul Devos; Dick Botteldooren (Neural Networks, 2024)

A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. - Xinyi Chen; Qu Yang; Jibin Wu; Haizhou Li 001; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

EEG-Based Auditory Attention Detection With Spiking Graph Convolutional Network. - Siqi Cai 002; Ran Zhang; Malu Zhang; Jibin Wu; Haizhou Li 001 (IEEE Trans. Cogn. Dev. Syst., 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 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. - Yajie Zhang; Yu-An Huang; Yao Hu 001; Rui Liu 038; Jibin Wu; Zhi-An Huang; Kay Chen Tan (Medical Image Anal., 2025)

Towards parameter-free attentional spiking neural networks. - Pengfei Sun; Jibin Wu; Paul Devos; Dick Botteldooren (Neural Networks, 2025)

A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification. - Ruofan Yan; Na Lu; Yuxuan Yan; Xu Niu; Jibin Wu (Neural Networks, 2025)

Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. - Chenxiang Ma; Xinyi Chen; Yanchen Li; Qu Yang; Yujie Wu 002; Guoqi Li; Gang Pan 001; Huajin Tang; Kay Chen Tan; Jibin Wu (CoRR, 2025)

Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. - Rui Liu 038; Yao Hu 001; Jibin Wu; Ka-Chun Wong; Zhi-An Huang; Yu-An Huang; Kay Chen Tan (IEEE Trans. Cybern., 2025)

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. - Xingyu Wu; Sheng-Hao Wu; Jibin Wu; Liang Feng 001; Kay Chen Tan (IEEE Trans. Evol. Comput., 2025)

Toward Energy-Efficient Spike-Based Deep Reinforcement Learning With Temporal Coding. - Malu Zhang; Shuai Wang; Jibin Wu; Wenjie Wei; Dehao Zhang; Zijian Zhou 005; Siying Wang 002; Fan Zhang 068; Yang Yang 002 (IEEE Comput. Intell. Mag., 2025)

EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation. - Hanle Zheng; Xujie Han; Zegang Peng; Shangbin Zhang; Guangxun Du; Zhuo Zou; Xilin Wang; Jibin Wu; Hao Guo; Lei Deng 003 (CoRR, 2025)

MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion. - Wei Hua; Chenlin Zhou; Jibin Wu; Yansong Chua; Yangyang Shu (CoRR, 2025)

Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing. - Xinyi Chen; Chenxiang Ma; Yujie Wu 002; Kay Chen Tan; Jibin Wu (CoRR, 2025)

Diversity-Aware Policy Optimization for Large Language Model Reasoning. - Jian Yao; Ran Cheng; Xingyu Wu; Jibin Wu; Kay Chen Tan (CoRR, 2025)

LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery. - Xingyu Wu; Kui Yu; Jibin Wu; Kay Chen Tan (CoRR, 2025)

Spatio-Temporal Decoupled Learning for Spiking Neural Networks. - Chenxiang Ma; Xinyi Chen; Kay Chen Tan; Jibin Wu (CoRR, 2025)

Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate. - Pengfei Sun; Jibin Wu; Malu Zhang; Paul Devos; Dick Botteldooren (IEEE Trans. Neural Networks Learn. Syst., 2025)

Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models. - Malu Zhang; Xiaoling Luo 001; Jibin Wu; Ammar Belatreche; Siqi Cai 002; Yang Yang 002; Haizhou Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

ZeCO: Zero Communication Overhead Sequence Parallelism for Linear Attention. - Yuhong Chou; Zehao Liu; Rui-Jie Zhu 003; Xinyi Wan; Tianjian Li; Congying Chu; Qian Liu; Jibin Wu; Zejun Ma (CoRR, 2025)

IML-Spikeformer: Input-aware Multi-Level Spiking Transformer for Speech Processing. - Zeyang Song; Shimin Zhang; Yuhong Chou; Jibin Wu; Haizhou Li 001 (CoRR, 2025)