Xiao-wen Dong
Artificial Intelligence · 2023–2025
A researcher in the Science corpus: 10 papers; trusts 320 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 312 citations into it
- Computer Vision and Pattern Recognition — 310 citations into it
- Multimodal Learning — 173 citations into it
- Large Language Models — 120 citations into it
- Evaluation & Benchmarks — 61 citations into it
- Model Architectures — 9 citations into it
Whom Xiao-wen Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- Diederik P. Kingma
- Alec Radford
- Alex Graves
- Ross B. Girshick
- Yann LeCun
Who trusts Xiao-wen Dong overall
Papers from Xiao-wen Dong's perspective
Ordered by how strongly the researchers Xiao-wen Dong 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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
- ShareGPT4V: Improving Large Multi-Modal Models with Better Captions (2023) — 1,159 citations
- Are We on the Right Way for Evaluating Large Vision-Language Models? (2024) — 885 citations
- How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites (2024) — 1,231 citations
- InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model (2024) — 387 citations
- Visual-RFT: Visual Reinforcement Fine-Tuning (2025) — 511 citations
- VLMEvalKit: An Open-Source ToolKit for Evaluating Large Multi-Modality Models (2024) — 565 citations
- Long-CLIP: Unlocking the Long-Text Capability of CLIP (2024) — 390 citations
- InternLM2 Technical Report (2024) — 416 citations
- ShareGPT4Video: Improving Video Understanding and Generation with Better Captions (2024) — 451 citations
- OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation (2023) — 542 citations