Conghui He
Artificial Intelligence · 2023–2025
A researcher in the Science corpus: 12 papers; trusts 312 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 573 citations into it
- Computer Vision and Pattern Recognition — 509 citations into it; #15,857 of 21,575 by trust here, #2,443 by citations
- Multimodal Learning — 278 citations into it
- Large Language Models — 215 citations into it
- Model Architectures — 23 citations into it
Whom Conghui He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Radford
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Alex Krizhevsky
- Yoshua Bengio
- Alex Graves
- Diederik P. Kingma
- Junnan Li
- Yann LeCun
Who trusts Conghui He overall
Papers from Conghui He's perspective
Ordered by how strongly the researchers Conghui He trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MMBench: Is Your Multi-modal Model an All-around Player? (2023) — 2,293 citations
- LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model (2023) — 758 citations
- ShareGPT4V: Improving Large Multi-Modal Models with Better Captions (2023) — 1,159 citations
- InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition (2023) — 354 citations
- How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites (2024) — 1,231 citations
- SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models (2024) — 159 citations
- InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model (2024) — 387 citations
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models (2025) — 1,590 citations
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency (2025) — 1,136 citations
- Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling (2024) — 1,631 citations
- InternLM2 Technical Report (2024) — 416 citations
- OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation (2023) — 542 citations