Jiangpeng He
Artificial Intelligence · 2020–2024
A researcher in the Science corpus: 5 papers; trusts 898 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 119 citations into it; #18,718 of 35,345 by trust here, #16,771 by citations
- Computer Vision and Pattern Recognition — 108 citations into it; #13,896 of 21,575 by trust here, #18,266 by citations
- Meta & Continual Learning — 77 citations into it; #628 of 1,041 by trust here, #711 by citations
- Representation & Self-Supervised Learning — 40 citations into it
- Optimization & Training — 18 citations into it
- Radiology, Nuclear Medicine and Imaging — 17 citations into it; #1,514 of 3,265 by trust here, #2,837 by citations
- Model Architectures — 10 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
Whom Jiangpeng He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Max Welling
- Yoshua Bengio
- David G. Lowe
- Yann LeCun
- Diederik P. Kingma
- Arslan Chaudhry
- Rahaf Aljundi
Who trusts Jiangpeng He overall
- Feng Zhu
- Julien Pourcel
- Liyuan Wang
- Bo Zhao
- Yingchao Feng
- Oleksiy Ostapenko
- Ngoc-Son Vu
- Hongwei Yan
- Xingxing Zhang
- R. M. French
Papers from Jiangpeng He's perspective
Ordered by how strongly the researchers Jiangpeng He 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Unsupervised Continual Learning Via Pseudo Labels (2021) — 32 citations
- Incremental Learning in Online Scenario (2020) — 186 citations
- Towards Backward-Compatible Continual Learning of Image Compression (2024) — 10 citations
- Online Continual Learning Via Candidates Voting (2021) — 20 citations
- Online Continual Learning For Visual Food Classification (2021) — 60 citations