Shuai Bai
Artificial Intelligence · 2018–2025
A researcher in the Science corpus: 15 papers; trusts 417 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 465 citations into it
- Computer Vision and Pattern Recognition — 457 citations into it
- Multimodal Learning — 172 citations into it
- Large Language Models — 149 citations into it
- Evaluation & Benchmarks — 130 citations into it
- Representation & Self-Supervised Learning — 41 citations into it
Whom Shuai Bai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Ross B. Girshick
- Yann LeCun
- Karen Simonyan
- Jimmy Ba
Who trusts Shuai Bai overall
- Bo Li
- Lin Chen
- Renrui Zhang
- Yuanhan Zhang
- Wenxuan Huang
- Sicong Leng
- Jiasen Lu
- Feng Li
- Yunfei Chu
- Jinze Bai
Papers from Shuai Bai's perspective
Ordered by how strongly the researchers Shuai Bai 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
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework (2022) — 1,080 citations
- Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities (2023) — 1,892 citations
- Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond (2023) — 2,258 citations
- The Sixth Visual Object Tracking VOT2018 Challenge Results (2018) — 797 citations
- Qwen Technical Report (2023) — 4,095 citations
- The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations
- Qwen2.5-VL Technical Report (2025) — 5,337 citations
- Qwen3-VL Technical Report (2025) — 1,662 citations
- Qwen2.5-Omni Technical Report (2025) — 691 citations
- Qwen-Image Technical Report (2025) — 835 citations
- Qwen3-Omni Technical Report (2025) — 383 citations
- An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models (2024) — 629 citations
- Qwen2 Technical Report (2024) — 2,333 citations
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution (2024) — 4,557 citations
- Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework (2022) — 252 citations