Xiaoqian Shen
Artificial Intelligence · 2023–2024
A researcher in the Science corpus: 3 papers; trusts 130 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 110 citations into it; #21,858 of 35,345 by trust here, #4,526 by citations
- Computer Vision and Pattern Recognition — 104 citations into it; #13,406 of 21,575 by trust here, #3,445 by citations
- Multimodal Learning — 60 citations into it; #874 of 1,211 by trust here, #343 by citations
- Evaluation & Benchmarks — 14 citations into it
- Natural Language Processing — 12 citations into it
Whom Xiaoqian Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
- Karen Simonyan
- Alec Radford
Who trusts Xiaoqian Shen overall
Papers from Xiaoqian Shen's perspective
Ordered by how strongly the researchers Xiaoqian Shen 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models (2023) — 3,250 citations
- MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning (2023) — 726 citations
- LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding (2024) — 321 citations