2025
General Automatic Solution Generation for Social Problems.
Mach. Intell. Res., February, 2025
RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert Collaboration.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Neural Dynamics Pruning for Energy-Efficient Spiking Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
2023
Multi-grained system integration for hybrid-paradigm brain-inspired computing.
Sci. China Inf. Sci., April, 2023
Brain-inspired multimodal hybrid neural network for robot place recognition.
Sci. Robotics, 2023
Noether Embedding: Efficient Learning of Temporal Regularities.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Dual-stream Multi-Modal Graph Neural Network for Few-Shot Learning.
Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023
Coherence in Intelligent Systems.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023
A Vertical-Horizontal Integrated Neuro-Symbolic Framework Towards Artificial General Intelligence.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023
2022
Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.
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Sci. Robotics, 2022
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.
Neural Networks, 2021
Adversarial Feature Stacking for Accurate and Robust Predictions.
CoRR, 2021
Hybrid neural state machine for neural network.
Sci. China Inf. Sci., 2021
2020
Target Control of Directed Networks based on Network Flow Problems.
IEEE Trans. Control. Netw. Syst., 2020
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Proc. IEEE, 2020
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey.
Proc. IEEE, 2020
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.
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IEEE J. Solid State Circuits, 2020
Target control and expandable target control of complex networks.
J. Frankl. Inst., 2020
SSM: a high-performance scheme for in situ training of imprecise memristor neural networks.
Neurocomputing, 2020
Brain-inspired global-local hybrid learning towards human-like intelligence.
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CoRR, 2020
A Hybrid Brain-Inspired Computing Architecture towards Artificial General Intelligence.
Proceedings of the 19th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2020
2019
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019
Super-resolution of spatiotemporal event-stream image.
Neurocomputing, 2019
Robust Event-Based Object Tracking Combining Correlation Filter and CNN Representation.
Frontiers Neurorobotics, 2019
Bridging adversarial samples and adversarial networks.
CoRR, 2019
DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking.
CoRR, 2019
Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks.
CoRR, 2019
Convolution with even-sized kernels and symmetric padding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Direct Training for Spiking Neural Networks: Faster, Larger, Better.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Deep representation via convolutional neural network for classification of spatiotemporal event streams.
Neurocomputing, 2018
Training deep neural networks with discrete state transition.
Neurocomputing, 2018
Direct Training for Spiking Neural Networks: Faster, Larger, Better.
CoRR, 2018
Robust event-stream pattern tracking based on correlative filter.
CoRR, 2018
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks.
CoRR, 2018
Super-resolution of spatiotemporal event-based image.
CoRR, 2018
Training and Inference with Integers in Deep Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
High-speed video generation with an event camera.
Vis. Comput., 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks.
CoRR, 2017
2016
Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity.
Frontiers Comput. Neurosci., 2016
Classification of Spatiotemporal Events Based on Random Forest.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016
2015
Memory Dynamics in Attractor Networks.
Comput. Intell. Neurosci., 2015
Status, challenges and future trends of brain inspired computing.
Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015
2013
A Spike-Timing-Based Integrated Model for Pattern Recognition.
Neural Comput., 2013
Dynamical properties of continuous attractor neural network with background tuning.
Neurocomputing, 2013
Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity.
Int. J. Neural Syst., 2013
Revised online learning with kernels for classification and regression.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
2012
Presynaptic Learning and Memory with a Persistent Firing Neuron and a Habituating Synapse: a Model of Short Term Persistent Habituation.
Int. J. Neural Syst., 2012
Artificial neuron with somatic and axonal computation units: Mathematical and neuromorphic models of persistent firing neurons.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Axonal Slow Integration Induced Persistent Firing Neuron Model.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
2010
A Comparison between Growing and Variably Dense Self Organizing Maps for Incremental Learning in Hubel Weisel Models of Concept Representation.
Proceedings of the Trends in Intelligent Robotics - 13th FIRA Robot World Congress, 2010
2008
A Neural Network Model for a Hierarchical Spatio-temporal Memory.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008