He Qian
Electrical and Electronic Engineering · 2003–2023
A researcher in the Science corpus: 12 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 242 citations into it; #14,677 of 16,539 by trust here, #4,002 by citations
- Cellular and Molecular Neuroscience — 133 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom He Qian trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Shimeng Yu (in Electrical and Electronic Engineering)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
- J. Joshua Yang (in Electrical and Electronic Engineering)
- Dmitri B. Strukov (in Electrical and Electronic Engineering)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
Who trusts He Qian
- Shimeng Yu (in Electrical and Electronic Engineering)
Papers from He Qian's perspective
Ordered by how strongly the researchers He Qian trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Microsoft COCO: Common Objects in Context
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
- In-datacenter performance analysis of a tensor processing unit
- Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
- ImageNet classification with deep convolutional neural networks
- You Only Look Once: Unified, Real-Time Object Detection
Their papers
- Face classification using electronic synapses (2017) — 828 citations
- Improving Analog Switching in HfOx-Based Resistive Memory With a Thermal Enhanced Layer (2017) — 187 citations
- Fully hardware-implemented memristor convolutional neural network (2020) — 2,009 citations
- Nature of the constant factor in the relation between radial breathing mode frequency and tube diameter for single-wall carbon nanotubes. Phys Rev B 77:241403 (2008) — 178 citations
- The glass transition and interfacial layer in styrene-butadiene rubber containing silica nanofiller (2003) — 243 citations
- Edge learning using a fully integrated neuro-inspired memristor chip (2023) — 381 citations
- A compute-in-memory chip based on resistive random-access memory (2022) — 863 citations
- Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing (2021) — 516 citations
- Neuro-inspired computing chips (2020) — 772 citations
- Reliability of analog resistive switching memory for neuromorphic computing (2020) — 317 citations
- Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges (2019) — 708 citations
- Understanding memristive switching via in situ characterization and device modeling (2019) — 420 citations