299 results on '"Lu, Wei D."'
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2. Neural architecture search for in-memory computing-based deep learning accelerators
3. PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers
4. Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training
5. PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators
6. RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network
7. Intelligence Processing Units Accelerate Neuromorphic Learning
8. Side-channel attack analysis on in-memory computing architectures
9. Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays
10. Navigating Local Minima in Quantized Spiking Neural Networks
11. The fine line between dead neurons and sparsity in binarized spiking neural networks
12. Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures
13. Training Spiking Neural Networks Using Lessons From Deep Learning
14. Hierarchical Architectures in Reservoir Computing Systems
15. Memristive Stochastic Computing for Deep Learning Parameter Optimization
16. A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network
17. Interspecies-chimera machine vision with polarimetry for real-time navigation and anti-glare pattern recognition
18. PIM GPT a hybrid process in memory accelerator for autoregressive transformers
19. Analog Computation with RRAM and Supporting Circuits
20. Memristive Computing Devices and Applications
21. Dynamical memristors for higher-complexity neuromorphic computing
22. RN‐Net: Reservoir Nodes‐Enabled Neuromorphic Vision Sensing Network
23. PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers
24. Perspective: Entropy-stabilized oxide memristors.
25. Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing
26. Compute-In-Memory Technologies for Deep Learning Acceleration
27. DRAMATON: A Near-DRAM Accelerator for Large Number Theoretic Transforms
28. Memristive Computing Devices and Applications
29. A high-speed MIM resistive memory cell with an inherent vanadium selector
30. Near infrared neuromorphic computing via upconversion-mediated optogenetics
31. Bulk‐Switching Memristor‐Based Compute‐In‐Memory Module for Deep Neural Network Training
32. Training Spiking Neural Networks Using Lessons From Deep Learning
33. Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks
34. Nanoscale resistive switching devices for memory and computing applications
35. Temporal data classification and forecasting using a memristor-based reservoir computing system
36. Neural connectivity inference with spike-timing dependent plasticity network
37. List of contributors
38. Vector multiplications using memristive devices and applications thereof
39. A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations
40. Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing
41. Compute-In-Memory Technologies for Deep Learning Acceleration
42. TT-CIM: Tensor Train Decomposition for Neural Network in RRAM-Based Compute-in-Memory Systems
43. Memristor networks for real-time neural activity analysis
44. A general memristor-based partial differential equation solver
45. The future of electronics based on memristive systems
46. Side-Channel Attack Analysis on In-Memory Computing Architectures
47. Memristive computing devices and applications
48. Demonstration of a Multi-Level μA-Range Bulk Switching ReRAM and its Application for Keyword Spotting
49. Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks
50. Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays
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