Haodong Duan
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 11 papers; trusts 552 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 372 citations into it; #35,099 of 35,345 by trust here, #6,911 by citations
- Computer Vision and Pattern Recognition — 368 citations into it; #21,395 of 21,575 by trust here, #4,001 by citations
- Multimodal Learning — 145 citations into it
- Evaluation & Benchmarks — 81 citations into it
- Biomedical Engineering — 18 citations into it
- Model Architectures — 17 citations into it
- Human-Computer Interaction — 13 citations into it
Whom Haodong Duan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Karen Simonyan
- Ross B. Girshick
- Andrew Zisserman
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
Who trusts Haodong Duan overall
- Tianhao Li
- Zehua Sun
- Wenjie Zhu
- Yanwei Li
- Limin Wang
- Bo Li
- Jun Liu
- Shengbang Tong
- Penghao Wu
- Renrui Zhang
Papers from Haodong Duan's perspective
Ordered by how strongly the researchers Haodong Duan 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- MMBench: Is Your Multi-modal Model an All-around Player? (2023) — 2,293 citations
- Are We on the Right Way for Evaluating Large Vision-Language Models? (2024) — 885 citations
- InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition (2023) — 354 citations
- InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model (2024) — 387 citations
- Revisiting Skeleton-based Action Recognition (2021) — 724 citations
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency (2025) — 1,136 citations
- Visual-RFT: Visual Reinforcement Fine-Tuning (2025) — 511 citations
- VLMEvalKit: An Open-Source ToolKit for Evaluating Large Multi-Modality Models (2024) — 565 citations
- InternLM2 Technical Report (2024) — 416 citations
- ShareGPT4Video: Improving Video Understanding and Generation with Better Captions (2024) — 451 citations
- Omni-sourced Webly-supervised Learning for Video Recognition (2020) — 105 citations