Publications

(2024). Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. in IEEE Transactions on Evolutionary Computation.

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(2024). Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate. in IEEE Transactions on Neural Networks and Learning Systems.

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(2024). Delay learning based on temporal coding in Spiking Neural Networks. Neural Networks, 180, 106678.

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(2024). MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map. In The Thirty-eighth Annual Conference on Neural Information Processing Systems.

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(2024). Mixed prototype Correction for Causal Inference in Medical Image Classification. In Proceedings of the 32nd ACM International Conference on Multimedia (pp. 4377-4386).

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(2024). When Audio Denoising Meets Spiking Neural Network. 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, Singapore, 2024, pp. 1524-1527.

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(2024). Asymmetric Source-Free Unsupervised Domain Adaptation for Medical Image Diagnosis. 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, Singapore, 2024, pp. 234-239.

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(2024). Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8.

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(2024). Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. In The 33rd International Joint Conference on Artificial Intelligence (pp. 1-10).

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(2024). Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 226-230.

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(2024). EEG-based Auditory Attention Detection with Spiking Graph Convolutional Network. in IEEE Transactions on Cognitive and Developmental Systems, vol. 16, no. 5, pp. 1698-1706, Oct. 2024.

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(2024). TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. Proceedings of the AAAI Conference on Artificial Intelligence, 38(15), 16838-16847.

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(2024). Scaling Supervised Local Learning with Augmented Auxiliary Networks. In The Twelfth International Conference on Learning Representations..

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(2024). Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. Proc. Interspeech 2024, 4523-4527.

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(2024). A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 5, pp. 3064-3078, May 2024.

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(2023). LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. in IEEE Transactions on Cognitive and Developmental Systems, vol. 16, no. 5, pp. 1626-1639, Oct. 2024.

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(2022). Training spiking neural networks with local tandem learning. In The Thirty-fifth Annual Conference on Neural Information Processing Systems.

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(2022). A hybrid learning framework for deep spiking neural networks with one-spike temporal coding. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 2022, pp. 8942-8946.

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(2021). Target speaker verification with selective auditory attention for single and multi-talker speech. in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 2696-2709, 2021.

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(2021). Rethinking Benchmarks for Neuromorphic Learning Algorithms. 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 2021, pp. 1-8.

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(2021). Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks. in IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 5, pp. 1947-1958, May 2022.

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(2021). Progressive tandem learning for pattern recognition with deep spiking neural networks. in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 11, pp. 7824-7840, 1 Nov. 2022.

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(2021). Parameter tuning-free missing-feature reconstruction for robust sound recognition. in IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 1, pp. 78-89, Jan. 2021.

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(2021). Multi-tone phase coding of interaural time difference for sound source localization with spiking neural networks. in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 2656-2670, 2021.

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(2021). HuRAI: A brain-inspired computational model for human-robot auditory interface. Neurocomputing, 465, 103-113..

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(2021). An Automatic Sound Classification Framework with Non-volatile Memory. Emerging Non-volatile Memory Technologies: Physics, Engineering, and Applications, 415-438.

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(2021). A tandem learning rule for effective training and rapid inference of deep spiking neural networks. in IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 1, pp. 446-460, Jan. 2023.

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(2020). You only spike once: Improving energy-efficient neuromorphic inference to ann-level accuracy. 2nd Workshop on Accelerated Machine Learning.

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(2020). Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing, 409, 103-118.

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(2020). Deep spiking neural networks for large vocabulary automatic speech recognition. Frontiers in neuroscience, 14, 199.

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(2020). Deep convolutional spiking neural networks for keyword spotting. Proc. Interspeech 2020, 2557-2561.

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(2020). An efficient threshold-driven aggregate-label learning algorithm for multimodal information processing. in IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 3, pp. 592-602, March 2020.

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(2020). An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. Frontiers in neuroscience, 13, 1420..

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(2019). Robust Sound Recognition: A Neuromorphic Approach. Proc. Interspeech 2019, 3667-3668.

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(2019). Neural population coding for effective temporal classification. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-8.

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(2019). Mpd-al: an efficient membrane potential driven aggregate-label learning algorithm for spiking neurons. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01): 1327-1334.

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(2019). Deep spiking neural network with spike count based learning rule. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-6.

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(2019). Competitive STDP-based feature representation learning for sound event classification. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-8.

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(2018). An event-based cochlear filter temporal encoding scheme for speech signals. 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 2018, pp. 1-8.

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(2018). A spiking neural network framework for robust sound classification. Frontiers in neuroscience, 12, 836.

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(2018). A biologically plausible speech recognition framework based on spiking neural networks. 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 2018, pp. 1-8.

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