Yingwei Li
Materials Chemistry · Science · 2008–2022
A researcher in the Science corpus: 32 papers; trusts 526 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 476 citations into it; #4,723 of 11,513 by trust here, #1,303 by citations
- Inorganic Chemistry — 396 citations into it; #373 of 820 by trust here, #116 by citations
- Electrical and Electronic Engineering — 227 citations into it
- Computer Vision and Pattern Recognition — 184 citations into it
- Artificial Intelligence — 169 citations into it
- Electronic, Optical and Magnetic Materials — 169 citations into it
- Mechanical Engineering — 73 citations into it
- Safety, Robustness & Interpretability — 64 citations into it
Whom Yingwei Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ross B. Girshick
- Christian Szegedy
- Karen Simonyan
- Ian J. Goodfellow
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
Who trusts Yingwei Li overall
Papers from Yingwei Li's perspective
Ordered by how strongly the researchers Yingwei Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection (2022) — 531 citations
- AtomNAS: Fine-Grained End-to-End Neural Architecture Search (2019) — 111 citations
- Neural Architecture Search for Lightweight Non-Local Networks (2020) — 55 citations
- Learning Transferable Adversarial Examples via Ghost Networks (2018) — 163 citations
- Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (2019) — 59 citations
- Mechanochemical synthesis of Cu-BTC@GO with enhanced water stability and toluene adsorption capacity (2016) — 212 citations
- Synthesis and adsorption performance of MIL-101(Cr)/graphite oxide composites with high capacities of n-hexane (2014) — 249 citations
- Transition metal-based metal-organic frameworks for oxygen evolution reaction (2020) — 153 citations
- Metal–Organic Frameworks as a Good Platform for the Fabrication of Single-Atom Catalysts (2020) — 282 citations
- Shape-Texture Debiased Neural Network Training (2020) — 127 citations
- Functional metal–organic frameworks for catalytic applications (2019) — 278 citations
- Nanoreactor of MOF-Derived Yolk–Shell Co@C–N: Precisely Controllable Structure and Enhanced Catalytic Activity (2018) — 286 citations
- Multi-Level Architecture Optimization of MOF-Templated Co-Based Nanoparticles Embedded in Hollow N-Doped Carbon Polyhedra for Efficient OER and ORR (2018) — 408 citations
- Hierarchically porous nitrogen-doped carbon derived from the activation of agriculture waste by potassium hydroxide and urea for high-performance supercapacitors (2018) — 267 citations
- Ordered macro-microporous metal-organic framework single crystals (2018) — 967 citations
- Bifunctional N-Doped Co@C Catalysts for Base-Free Transfer Hydrogenations of Nitriles: Controllable Selectivity to Primary Amines vs Imines (2017) — 146 citations
- Hollow ZnCdS Dodecahedral Cages for Highly Efficient Visible-Light-Driven Hydrogen Generation (2017) — 162 citations
- Adsorptive and photocatalytic removal of Persistent Organic Pollutants (POPs) in water by metal-organic frameworks (MOFs) (2017) — 472 citations
- Efficient and selective aerobic oxidation of alcohols catalysed by MOF-derived Co catalysts (2016) — 162 citations
- Development of MOF-Derived Carbon-Based Nanomaterials for Efficient Catalysis (2016) — 1,124 citations