337 results on '"Luping Shi"'
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2. Brain-inspired global-local learning incorporated with neuromorphic computing
3. Spontaneous sparse learning for PCM-based memristor neural networks
4. End-to-End Implementation of Various Hybrid Neural Networks on a Cross-Paradigm Neuromorphic Chip
5. Robust Event-Based Object Tracking Combining Correlation Filter and CNN Representation
6. Face classification using electronic synapses
7. Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks
8. CIFAR10-DVS: An Event-Stream Dataset for Object Classification
9. Sildenafil Inhibits Human Pulmonary Artery Smooth Muscle Cell Proliferation by Decreasing Capacitative Ca2+ Entry
10. General Automatic Solution Generation of Social Problems.
11. Minimum-cost control of complex networks
12. Dual-stream Multi-Modal Graph Neural Network for Few-Shot Learning.
13. A Vertical-Horizontal Integrated Neuro-Symbolic Framework Towards Artificial General Intelligence.
14. Coherence in Intelligent Systems.
15. Noether Embedding: Efficient Learning of Temporal Regularities.
16. Brain-inspired multimodal hybrid neural network for robot place recognition.
17. Multi-grained system integration for hybrid-paradigm brain-inspired computing.
18. Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention.
19. Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.
20. Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.
21. Convolution with even-sized kernels and symmetric padding.
22. Direct Training for Spiking Neural Networks: Faster, Larger, Better.
23. Target Control of Directed Networks based on Network Flow Problems.
24. Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey.
25. SSM: a high-performance scheme for in situ training of imprecise memristor neural networks.
26. Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.
27. Target control and expandable target control of complex networks.
28. Super-resolution of spatiotemporal event-stream image.
29. L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks.
30. Adversarial Feature Stacking for Accurate and Robust Predictions.
31. Hybrid neural state machine for neural network.
32. Brain-inspired global-local hybrid learning towards human-like intelligence.
33. Deep representation via convolutional neural network for classification of spatiotemporal event streams.
34. Training deep neural networks with discrete state transition.
35. Classification of Spatiotemporal Events Based on Random Forest.
36. A Hybrid Brain-Inspired Computing Architecture towards Artificial General Intelligence.
37. Training and Inference with Integers in Deep Neural Networks.
38. High-speed video generation with an event camera.
39. Scanning the Issue.
40. Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks.
41. DashNet: A Hybrid Artificial and Spiking Neural Network for High-speed Object Tracking.
42. Bridging adversarial samples and adversarial networks.
43. Super-resolution of spatiotemporal event-based image.
44. Robust event-stream pattern tracking based on correlative filter.
45. Direct Training for Spiking Neural Networks: Faster, Larger, Better.
46. Target Control of Directed Networks based on Network Flow Problems.
47. L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks.
48. Memory Dynamics in Attractor Networks.
49. Revised online learning with kernels for classification and regression.
50. Artificial neuron with somatic and axonal computation units: Mathematical and neuromorphic models of persistent firing neurons.
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