Jingren Zhou
Artificial Intelligence · 2002–2025
A researcher in the Science corpus: 43 papers; trusts 1,363 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 1,134 citations into it
- Computer Vision and Pattern Recognition — 865 citations into it
- Multimodal Learning — 345 citations into it
- Large Language Models — 328 citations into it
- Natural Language Processing — 244 citations into it
- Evaluation & Benchmarks — 220 citations into it
- Generative Models — 174 citations into it
- Representation & Self-Supervised Learning — 117 citations into it
Whom Jingren Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Ross B. Girshick
- Alex Graves
Who trusts Jingren Zhou overall
Papers from Jingren Zhou's perspective
Ordered by how strongly the researchers Jingren Zhou 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
- M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis via Non-Autoregressive Generative Transformers (2021) — 49 citations
- mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections (2022) — 295 citations
- M6: A Chinese Multimodal Pretrainer (2021) — 152 citations
- M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining (2021) — 47 citations
- Composer: Creative and Controllable Image Synthesis with Composable Conditions (2023) — 394 citations
- InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining (2020) — 91 citations
- AliGraph: A Comprehensive Graph Neural Network Platform (2019) — 469 citations
- VideoComposer: Compositional Video Synthesis with Motion Controllability (2023) — 542 citations
- mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration (2023) — 705 citations
- Qwen Technical Report (2023) — 4,095 citations
- AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search (2020) — 112 citations
- Low-Rank Subspaces in GANs (2021) — 79 citations
- Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation (2021) — 25 citations
- How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition (2023) — 310 citations
- Qwen3-VL Technical Report (2025) — 1,662 citations
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models (2025) — 1,074 citations
- The Lessons of Developing Process Reward Models in Mathematical Reasoning (2025) — 438 citations