297 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. Analog Computation with RRAM and Supporting Circuits
18. Memristive Computing Devices and Applications
19. Dynamical memristors for higher-complexity neuromorphic computing
20. RN‐Net: Reservoir Nodes‐Enabled Neuromorphic Vision Sensing Network
21. PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers
22. Perspective: Entropy-stabilized oxide memristors.
23. Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing
24. Compute-In-Memory Technologies for Deep Learning Acceleration
25. DRAMATON: A Near-DRAM Accelerator for Large Number Theoretic Transforms
26. Memristive Computing Devices and Applications
27. A high-speed MIM resistive memory cell with an inherent vanadium selector
28. Near infrared neuromorphic computing via upconversion-mediated optogenetics
29. Bulk‐Switching Memristor‐Based Compute‐In‐Memory Module for Deep Neural Network Training
30. Training Spiking Neural Networks Using Lessons From Deep Learning
31. Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks
32. Nanoscale resistive switching devices for memory and computing applications
33. Temporal data classification and forecasting using a memristor-based reservoir computing system
34. Neural connectivity inference with spike-timing dependent plasticity network
35. List of contributors
36. Vector multiplications using memristive devices and applications thereof
37. A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations
38. Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing
39. Compute-In-Memory Technologies for Deep Learning Acceleration
40. TT-CIM: Tensor Train Decomposition for Neural Network in RRAM-Based Compute-in-Memory Systems
41. Memristor networks for real-time neural activity analysis
42. A general memristor-based partial differential equation solver
43. The future of electronics based on memristive systems
44. Side-Channel Attack Analysis on In-Memory Computing Architectures
45. Memristive computing devices and applications
46. Demonstration of a Multi-Level μA-Range Bulk Switching ReRAM and its Application for Keyword Spotting
47. Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks
48. Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays
49. RM-NTT: An RRAM-Based Compute-in-Memory Number Theoretic Transform Accelerator
50. Columnar Learning Networks for Multisensory Spatiotemporal Learning
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