Yicong Hong

Computer Vision and Pattern Recognition · with Wu · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 530 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 101 citations into it; #19,334 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 95 citations into it; #31,505 of 35,345 by trust here, #18,186 by citations
• Multimodal Learning — 55 citations into it; #1,042 of 1,211 by trust here, #876 by citations
• Natural Language Processing — 41 citations into it
• Reinforcement Learning — 24 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Robotics & Control — 9 citations into it; #507 of 609 by trust here, #408 by citations
• Model Architectures — 7 citations into it

Whom Yicong Hong trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Shaoqing Ren
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Sepp Hochreiter

Who trusts Yicong Hong overall

1. Gengze Zhou
2. Shizhe Chen
3. Alexander Pashevich
4. Cordelia Schmid
5. Alessandro Suglia
6. Chan Hee Song
7. Chen Gao
8. Qi Wu
9. Xin Ye
10. Pierre-Louis Guhur

Papers from Yicong Hong's perspective

Ordered by how strongly the researchers Yicong Hong 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation (2020) — 464 citations
• Language and Visual Entity Relationship Graph for Agent Navigation (2020) — 161 citations
• NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models (2023) — 414 citations