Sijie Li

Electrical and Electronic Engineering · Advanced Energy Materials · 2015–2022

A researcher in the Science corpus: 15 papers; trusts 163 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 319 citations into it
• Computer Vision and Pattern Recognition — 71 citations into it
• Materials Chemistry — 69 citations into it
• Artificial Intelligence — 64 citations into it
• Biomedical Engineering — 42 citations into it
• Model Architectures — 15 citations into it
• Optimization & Training — 10 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Sijie Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. François Chollet
2. Geoffrey E. Hinton
3. Waqas Sultani
4. Alex Krizhevsky
5. Kaiming He
6. Karen Simonyan
7. Ashish Vaswani
8. Andrej Karpathy
9. Yoshua Bengio
10. Weixin Luo

Who trusts Sijie Li overall

1. Benjamin Shih

Papers from Sijie Li's perspective

Ordered by how strongly the researchers Sijie Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Highly stretchable electroluminescent skin for optical signaling and tactile sensing (2016) — 1,261 citations
• Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides (2016) — 856 citations
• Incremental Support Vector Learning for Ordinal Regression (2015) — 712 citations
• Binding MoSe2 with carbon constrained in carbonous nanosphere towards high-capacity and ultrafast Li/Na-ion storage (2018) — 202 citations
• Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning (2018) — 40 citations
• Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection (2022) — 304 citations
• Interfacial challenges towards stable Li metal anode (2021) — 164 citations
• Recent progress on electrolyte additives for stable lithium metal anode (2020) — 206 citations
• Garnet Solid Electrolyte for Advanced All‐Solid‐State Li Batteries (2020) — 276 citations
• Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging (2019) — 79 citations
• Anions induced evolution of Co3X4 (X = O, S, Se) as sodium-ion anodes: The influences of electronic structure, morphology, electrochemical property (2018) — 252 citations
• Hierarchical Hollow‐Microsphere Metal–Selenide@Carbon Composites with Rational Surface Engineering for Advanced Sodium Storage (2018) — 264 citations
• Tailoring Rod‐Like FeSe2 Coated with Nitrogen‐Doped Carbon for High‐Performance Sodium Storage (2018) — 333 citations
• Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model (2017) — 623 citations
• Incremental learning for ν-Support Vector Regression (2015) — 439 citations