C. Deng
Artificial Intelligence · arXiv.org · 2024–2025
A researcher in the Science corpus: 8 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 179 citations into it
Whom C. Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from C. Deng's perspective
Ordered by how strongly the researchers C. Deng trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- DeepSeek-VL: Towards Real-World Vision-Language Understanding (2024) — 847 citations
- DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning (2025) — 5,477 citations
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models (2025) — 637 citations
- DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models (2024) — 972 citations
- DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence (2024) — 469 citations
- DeepSeek-V3 Technical Report (2024) — 3,725 citations
- DeepSeek LLM: Scaling Open-Source Language Models with Longtermism (2024) — 805 citations
- DeepSeek-V3 Technical Report (2024) — 0 citations