Xiaochen Peng
Electrical and Electronic Engineering · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 12 citations into it; #11,329 of 16,539 by trust here, #12,348 by citations
Whom Xiaochen Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Xiaochen Peng overall
Papers from Xiaochen Peng's perspective
Ordered by how strongly the researchers Xiaochen Peng trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses (Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Training and operation of an integrated neuromorphic network based on metal-oxide memristors (Nature)
- Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing. (Nano letters (Print))
- NVSim: A Circuit-Level Performance, Energy, and Area Model for Emerging Nonvolatile Memory (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems)
- Finding a roadmap to achieve large neuromorphic hardware systems (Frontiers in Neuroscience)
- ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars
- Nanoscale memristor device as synapse in neuromorphic systems.
Their papers
- NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning (2018) — 455 citations
- NeuroSim+: An integrated device-to-algorithm framework for benchmarking synaptic devices and array architectures (2017) — 315 citations
- DNN+NeuroSim: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators with Versatile Device Technologies (2019) — 328 citations