Publications
We primarily publish our research in the relevant IEEE Transactions titles.
Most of our recent work should be accessible on an Open Access basis. However, if you cannot locate a specific manuscript online, please feel free to contact us.
2024
SpikingResformer: bridging ResNet and vision transformer in spiking neural networks (2024) · · Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Revealing the mechanisms of semantic satiation with deep learning models (2024) · · Communications Biology 7 (1), 487, 2024
Optical flow for spike camera with hierarchical spatial-temporal spike fusion (2024) · · Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7496-7504, 2024
Robust stable spiking neural networks (2024) · · arXiv preprint arXiv:2405.20694, 2024
Super-resolution reconstruction from Bayer-pattern spike streams (2024) · · Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
LM-HT SNN: Enhancing the performance of SNN to ANN counterpart through learnable multi-hierarchical threshold model (2024) · · arXiv preprint arXiv:2402.00411, 2024
Converting artificial neural networks to ultra-low-latency spiking neural networks for action recognition (2024) · · IEEE Transactions on Cognitive and Developmental Systems, 2024
Spikereveal: Unlocking temporal sequences from real blurry inputs with spike streams (2024) · · Advances in Neural Information Processing Systems 37, 62673-62696, 2024
Boosting spike camera image reconstruction from a perspective of dealing with spike fluctuations (2024) · · Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Threaten spiking neural networks through combining rate and temporal information (2024) · · The Twelfth International Conference on Learning Representations, 2024
Towards High-performance Spiking Transformers from ANN to SNN Conversion (2024) · · ACM Multimedia 2024, 2024
One forward is enough for neural network training via likelihood ratio method (2024) · · The Twelfth International Conference on Learning Representations, 2024
Enhancing the robustness of spiking neural networks with stochastic gating mechanisms (2024) · · Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 492-502, 2024
Online stabilization of spiking neural networks (2024) · · The Twelfth International Conference on Learning Representations, 2024
A progressive training framework for spiking neural networks with learnable multi-hierarchical model (2024) · · The Twelfth International Conference on Learning Representations, 2024
Robust decoding of rich dynamical visual scenes with retinal spikes (2024) · · IEEE Transactions on Neural Networks and Learning Systems, 2024
Brain-inspired artificial intelligence research: A review (2024) · · Science China Technological Sciences 67 (8), 2282-2296, 2024
Exploring efficient asymmetric blind-spots for self-supervised denoising in real-world scenarios (2024) · · Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Assessment of visual function in blind mice and monkeys with subretinally implanted nanowire arrays as artificial photoreceptors (2024) · · Nature Biomedical Engineering 8 (8), 1018-1039, 2024
Towards energy efficient spiking neural networks: An unstructured pruning framework (2024) · · The Twelfth International Conference on Learning Representations, 2024
Spikegs: 3d gaussian splatting from spike streams with high-speed camera motion (2024) · · Proceedings of the 32nd ACM International Conference on Multimedia, 9194-9203, 2024
2023
Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence (2023) · · Science Advances 9 (40), eadi1480, 2023
SpikeCV: open a continuous computer vision era (2023) · · arXiv preprint arXiv:2303.11684, 2023
Unsupervised optical flow estimation with dynamic timing representation for spike camera (2023) · · Advances in Neural Information Processing Systems 36, 2023
SpiReco: Fast and efficient recognition of high-speed moving objects with spike cameras (2023) · · IEEE Transactions on Circuits and Systems for Video Technology, 2023
Spike camera image reconstruction using deep spiking neural networks (2023) · · IEEE Transactions on Circuits and Systems for Video Technology 34 (6), 5207-5212, 2023
Enhancing motion deblurring in high-speed scenes with spike streams (2023) · · Advances in Neural Information Processing Systems 36, 2023
Self-supervised joint dynamic scene reconstruction and optical flow estimation for spiking camera (2023) · · Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 350-358, 2023
Learning temporal-ordered representation for spike streams based on discrete wavelet transforms (2023) · · Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 137-147, 2023
Exploring loss functions for time-based training strategy in spiking neural networks (2023) · · Advances in Neural Information Processing Systems 36, 2023
Rate gradient approximation attack threats deep spiking neural networks (2023) · · Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Capture the moment: High-speed imaging with spiking cameras through short-term plasticity (2023) · · IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8127-8142, 2023
A unified framework for soft threshold pruning (2023) · · The Eleventh International Conference on Learning Representations, 2023
Meta reinforcement learning for multi-task offloading in vehicular edge computing (2023) · · IEEE Transactions on Mobile Computing 23 (3), 2123-2138, 2023
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes (2023) · · The Eleventh International Conference on Learning Representations, 2023
Parallel spiking neurons with high efficiency and ability to learn long-term dependencies (2023) · · Advances in Neural Information Processing Systems 36, 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential (2023) · · The Thirty-Seventh AAAI Conference on Artificial Intelligence 37 (1), 11-21, 2023
1000× faster camera and machine vision with ordinary devices (2023) · · Engineering 25, 110-119, 2023
Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks (2023) · · arXiv preprint arXiv:2303.04347, 2023
Complementary intrinsics from neural radiance fields and CNNs for outdoor scene relighting (2023) · · Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2022
Temporal Effective Batch Normalization in Spiking Neural Networks (2022) · · Advances in Neural Information Processing Systems, 2022
Representing the dynamics of high-dimensional data with non-redundant wavelets (2022) · · Patterns 3 (3), 2022
Decoding pixel-level image features from two-photon calcium signals of macaque visual cortex (2022) · · Neural Computation 34 (6), 1369-1397, 2022
Spikingsim: A bio-inspired spiking simulator (2022) · · 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 3003-3007, 2022
Structure inference of networked system with the synergy of deep residual network and fully connected layer network (2022) · · Neural networks 145, 288-299, 2022
Neural decoding of visual information across different neural recording modalities and approaches (2022) · · Machine Intelligence Research 19 (5), 350-365, 2022
Deep spike learning with local classifiers (2022) · · IEEE Transactions on Cybernetics 53 (5), 3363-3375, 2022
Learning Optical Flow from Continuous Spike Streams (2022) · · Advances in Neural Information Processing Systems, 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training (2022) · · Advances in Neural Information Processing Systems, 2022
Spike-based motion estimation for object tracking through bio-inspired unsupervised learning (2022) · · IEEE Transactions on Image Processing 32, 335-349, 2022
State transition of dendritic spines improves learning of sparse spiking neural networks (2022) · · International Conference on Machine Learning, 3701-3715, 2022
Training spiking neural networks with event-driven backpropagation (2022) · · Advances in Neural Information Processing Systems 35, 30528-30541, 2022
Spike transformer: Monocular depth estimation for spiking camera (2022) · · European Conference on Computer Vision, 34-52, 2022
Spatio-temporal recurrent networks for event-based optical flow estimation (2022) · · Proceedings of the AAAI conference on artificial intelligence 36 (1), 525-533, 2022
Optimized potential initialization for low-latency spiking neural networks (2022) · · Proceedings of the AAAI conference on artificial intelligence 36 (1), 11-20, 2022
Modeling the detection capability of high-speed spiking cameras (2022) · · ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
2021
Incorporating learnable membrane time constant to enhance learning of spiking neural networks (2021) · · Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Asynchronous spatiotemporal spike metric for event cameras (2021) · · IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1742-1753, 2021
Neural system identification with spike-triggered non-negative matrix factorization (2021) · · IEEE Transactions on Cybernetics 52 (6), 4772-4783, 2021
Super resolve dynamic scene from continuous spike streams (2021) · · Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Reconstructing clear image for high-speed motion scene with a retina-inspired spike camera (2021) · · IEEE Transactions on Computational Imaging 8, 12-27, 2021
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks (2021) · · Patterns 2 (10), 2021
High-speed image reconstruction through short-term plasticity for spiking cameras (2021) · · Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Pruning of deep spiking neural networks through gradient rewiring (2021) · · arXiv preprint arXiv:2105.04916, 2021
A distributed algorithm for task offloading in vehicular networks with hybrid fog/cloud computing (2021) · · IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (7), 4388-4401, 2021
Asynchronous deep reinforcement learning for data-driven task offloading in MEC-empowered vehicular networks (2021) · · IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
Optimal ANN-SNN conversion for fast and accurate inference in deep spiking neural networks (2021) · · arXiv preprint arXiv:2105.11654, 2021
Deep residual learning in spiking neural networks (2021) · · Advances in Neural Information Processing Systems 34, 21056-21069, 2021
Dissecting cascade computational components in spiking neural networks (2021) · · PLoS Computational Biology 17 (11), e1009640, 2021
2020
Spikingjelly (2020) · · Multimedia Learn. Group, Inst. Digit. Media (NELVT), 2020
Intrinsic and synaptic properties shaping diverse behaviors of neural dynamics (2020) · · Frontiers in Computational Neuroscience 14, 26, 2020
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation (2020) · · Neural networks 126, 42-51, 2020
SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction (2020) · · Neural Networks 126, 143-152, 2020
Revealing fine structures of the retinal receptive field by deep-learning networks (2020) · · IEEE transactions on cybernetics 52 (1), 39-50, 2020
Toward the next generation of retinal neuroprosthesis: visual computation with spikes (2020) · · Engineering 6 (4), 449-461, 2020
Reconstruction of natural visual scenes from neural spikes with deep neural networks (2020) · · Neural Networks 125, 19-30, 2020
Multi-armed bandit learning for computation-intensive services in MEC-empowered vehicular networks (2020) · · IEEE Transactions on Vehicular Technology 69 (7), 7821-7834, 2020
A probabilistic approach for cooperative computation offloading in MEC-assisted vehicular networks (2020) · · IEEE Transactions on Intelligent Transportation Systems 23 (2), 899-911, 2020
Network structure reconstruction with symmetry constraint (2020) · · Chaos, Solitons & Fractals 139, 110287, 2020
2019
Sampling-Tree model: efficient implementation of distributed bayesian inference in neural networks (2019) · · IEEE Transactions on Cognitive and Developmental Systems 12 (3), 497-510, 2019
A learning algorithm for real-time service in vehicular networks with mobile-edge computing (2019) · · ICC 2019-2019 IEEE International Conference On Communications (ICC), 1-6, 2019
A unified neural circuit of causal inference and multisensory integration (2019) · · Neurocomputing 358, 355-368, 2019
Event-based vision enhanced: A joint detection framework in autonomous driving (2019) · · 2019 ieee international conference on multimedia and expo (icme), 1396-1401, 2019
2018
Design and implementation of a noncontact sleep monitoring system using infrared cameras and motion sensor (2018) · · IEEE Transactions on Instrumentation and Measurement 67 (7), 1555-1563, 2018
Promote of cooperation in networked multiagent system based on fitness control (2018) · · Applied Mathematics and Computation 339, 805-811, 2018
Implementation of bayesian inference in distributed neural networks (2018) · · 2018 26th euromicro international conference on parallel, distributed and …, 2018
Reaction–diffusion equation based image restoration (2018) · · Applied Mathematics and Computation 338, 588-606, 2018
Evaluating the effect on demodulation with a comprehensive model of distortions of fiber Bragg grating sensing signals (2018) · · Journal of Lightwave Technology 36 (24), 5823-5832, 2018
Emergent inference of hidden Markov models in spiking neural networks through winner-take-all (2018) · · IEEE Transactions on Cybernetics 50 (3), 1347-1354, 2018
Cooperative temporal data dissemination in SDN-based heterogeneous vehicular networks (2018) · · IEEE Internet of Things Journal 6 (1), 72-83, 2018
Heterogeneous cooperative belief for social dilemma in multi-agent system (2018) · · Applied Mathematics and Computation 320, 572-579, 2018
Unification of MAP estimation and marginal inference in recurrent neural networks (2018) · · IEEE Transactions on Neural Networks and Learning Systems 29 (11), 5761-5766, 2018
2017
Revealing structure components of the retina by deep learning networks (2017) · · bioRxiv, 216010, 2017
Neural network implementation of inference on binary Markov random fields with probability coding (2017) · · Applied Mathematics and Computation 301, 193-200, 2017
Phase unwrapping with graph cuts optimization and dual decomposition acceleration for 3D high‐resolution MRI data (2017) · · Magnetic resonance in medicine 77 (3), 1353-1358, 2017
Hierarchical Bayesian inference and learning in spiking neural networks (2017) · · IEEE transactions on cybernetics 49 (1), 133-145, 2017
2016
CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling (2016) · · arXiv preprint arXiv:1606.00157, 2016
Sampling-based causal inference in cue combination and its neural implementation (2016) · · Neurocomputing 175, 155-165, 2016
2015
Efficient approximate linear programming for factored MDPs (2015) · · International Journal of Approximate Reasoning 63, 101-121, 2015
For a list of our research initiatives, visit our projects page.