Fanqing Meng
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 65 citations into it
Whom Fanqing Meng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Eneko Agirre
- Christopher D. Manning
- Ilya Sutskever
- Kai Chen
- Daniel Matthew Cer
- Alex Krizhevsky
- Geoffrey E. Hinton
- Greg S. Corrado
- Yoshua Bengio
Papers from Fanqing Meng's perspective
Ordered by how strongly the researchers Fanqing Meng trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models (2023) — 280 citations
- QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings (2017) — 5 citations