Publications

Xingyu Wu, Yan Zhong, Jibin Wu*, Bingbing Jiang, Kay Chen Tan (2024). Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. in The 33rd International Joint Conference on Artificial Intelligence, Jeju, Korea. (Accepted).

Chenxiang Ma, Jibin Wu*, Chenyang Si, KC Tan (2024). Scaling Supervised Local Learning with Augmented Auxiliary Networks. in International Conference on Learning Representations. (Accepted).

Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu*, Haizhou Li, Kay Chen Tan (2024). TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. in Proceedings of the AAAI Conference on Artificial Intelligence, Vancouver, Canada. (Accepted).

Z. Song, J. Wu*, M. Zhang, M. Z. Shou, H. Li (2024). Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks. in ICASSP-2024, Seoul, Korea. (Accepted).

Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu*, Kay Chen Tan (2024). Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. in The International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan. (Accepted).

Siqi Cai, Ran Zhang, Malu Zhang, Jibin Wu, Haizhou Li (2024). EEG-based Auditory Attention Detection with Spiking Graph Convolutional Network. IEEE Transactions on Cognitive and Developmental Systems.

Qu Yang, Malu Zhang, Jibin Wu*, Kay Chen Tan, Haizhou Li (2023). LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. IEEE Transactions on Cognitive and Developmental Systems.

Xinyi Chen, Qu Yang, Jibin Wu*, Haizhou Li, Kay Chen Tan (2023). A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Qu Yang, Jibin Wu*, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li (2022). Training spiking neural networks with local tandem learning. Advances in Neural Information Processing Systems.

Jiadong Wang, Jibin Wu*, Malu Zhang, Qi Liu, Haizhou Li (2022). A hybrid learning framework for deep spiking neural networks with one-spike temporal coding. in ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Chenglin Xu, Wei Rao, Jibin Wu, Haizhou Li (2021). Target speaker verification with selective auditory attention for single and multi-talker speech. IEEE/ACM Transactions on audio, speech, and language processing.

Qu Yang, Jibin Wu, Haizhou Li (2021). Rethinking Benchmarks for Neuromorphic Learning Algorithms. in 2021 International Joint Conference on Neural Networks (IJCNN).

Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E Carlson, others (2021). Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks. IEEE transactions on neural networks and learning systems.

Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan (2021). Progressive tandem learning for pattern recognition with deep spiking neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Zihan Pan, Malu Zhang, Jibin Wu, Jiadong Wang, Haizhou Li (2021). Multi-tone phase coding of interaural time difference for sound source localization with spiking neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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

Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li, Kay Chen Tan (2021). An Automatic Sound Classification Framework with Non-volatile Memory. Emerging Non-volatile Memory Technologies: Physics, Engineering, and Applications.

Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan (2021). A tandem learning rule for effective training and rapid inference of deep spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems.

Kyle Timothy Ng Chu, Burin Amornpaisannon, Yaswanth Tavva, Venkata Pavan Kumar Miriyala, Jibin Wu, Malu Zhang, Haizhou Li, Trevor E Carlson, others (2020). You only spike once: Improving energy-efficient neuromorphic inference to ann-level accuracy. 2nd Workshop on Accelerated Machine Learning.

Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li (2020). Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing.

Qi Liu, Jibin Wu (2020). Parameter tuning-free missing-feature reconstruction for robust sound recognition. IEEE Journal of Selected Topics in Signal Processing.

Jibin Wu, Emre Yılmaz, Malu Zhang, Haizhou Li, Kay Chen Tan (2020). Deep spiking neural networks for large vocabulary automatic speech recognition. Frontiers in neuroscience.

Emre Yılmaz, Ozgür Bora Gevrek, Jibin Wu, Yuxiang Chen, Xuanbo Meng, Haizhou Li (2020). Deep convolutional spiking neural networks for keyword spotting. in Proceedings of INTERSPEECH.

Malu Zhang, Xiaoling Luo, Yi Chen, Jibin Wu, Ammar Belatreche, Zihan Pan, Hong Qu, Haizhou Li (2020). An efficient threshold-driven aggregate-label learning algorithm for multimodal information processing. IEEE Journal of Selected Topics in Signal Processing.

Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah (2020). An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. Frontiers in neuroscience.

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

Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua (2019). Neural population coding for effective temporal classification. in 2019 International Joint Conference on Neural Networks (IJCNN).

Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li (2019). Mpd-al: an efficient membrane potential driven aggregate-label learning algorithm for spiking neurons. in Proceedings of the AAAI conference on artificial intelligence.

Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li (2019). Deep spiking neural network with spike count based learning rule. in 2019 International Joint Conference on Neural Networks (IJCNN).

Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua (2019). Competitive STDP-based feature representation learning for sound event classification. in 2019 International Joint Conference on Neural Networks (IJCNN).

Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua (2018). An event-based cochlear filter temporal encoding scheme for speech signals. in 2018 International Joint Conference on Neural Networks (IJCNN).

Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li, Kay Chen Tan (2018). A spiking neural network framework for robust sound classification. Frontiers in neuroscience.

Jibin Wu, Yansong Chua, Haizhou Li (2018). A biologically plausible speech recognition framework based on spiking neural networks. in 2018 international joint conference on neural networks (IJCNN).