Yulun Du
Artificial Intelligence · 2017–2025
A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 133 citations into it; #17,018 of 35,345 by trust here, #10,319 by citations
- Computer Vision and Pattern Recognition — 59 citations into it
- Natural Language Processing — 22 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Model Architectures — 10 citations into it
- Optimization & Training — 8 citations into it
Whom Yulun Du trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Ilya Sutskever
- Jimmy Ba
- Sergey Ioffe
- Kaiming He
- Alex Graves
Who trusts Yulun Du overall
Papers from Yulun Du's perspective
Ordered by how strongly the researchers Yulun Du 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
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- ZeroPrompt: Scaling Prompt-Based Pretraining to 1, 000 Tasks Improves Zero-Shot Generalization (2022) — 76 citations
- Controllable Invariance through Adversarial Feature Learning (2017) — 312 citations
- Kimi-VL Technical Report (2025) — 306 citations
- Muon is Scalable for LLM Training (2025) — 305 citations
- Kimi k1.5: Scaling Reinforcement Learning with LLMs (2025) — 1,006 citations