Lianru Gao

Media Technology · 2018–2023

A researcher in the Science corpus: 7 papers; trusts 42 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Media Technology — 97 citations into it; #1,697 of 3,621 by trust here, #633 by citations
• Computer Vision and Pattern Recognition — 67 citations into it; #12,976 of 21,575 by trust here, #9,435 by citations
• Artificial Intelligence — 45 citations into it; #30,374 of 35,345 by trust here, #20,377 by citations
• Atmospheric Science — 31 citations into it
• Model Architectures — 18 citations into it
• Optimization & Training — 10 citations into it

Whom Lianru Gao trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Yushi Chen
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Alex Krizhevsky
8. Yoshua Bengio
9. Danfeng Hong
10. Jimmy Ba

Who trusts Lianru Gao overall

1. Danfeng Hong
2. Swalpa Kumar Roy
3. Xin Wu
4. Yuan Yuan
5. Jing Yao
6. Muhammad Ahmad
7. Yapeng Li

Papers from Lianru Gao's perspective

Ordered by how strongly the researchers Lianru Gao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection (2023) — 395 citations
• Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review (2022) — 692 citations
• Progress and Challenges in Intelligent Remote Sensing Satellite Systems (2022) — 365 citations
• SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers (2021) — 1,401 citations
• More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification (2020) — 1,193 citations
• Graph Convolutional Networks for Hyperspectral Image Classification (2020) — 1,248 citations
• Multisource Remote Sensing Data Classification Based on Convolutional Neural Network (2018) — 614 citations