Chengyue Wu

Statistical and Nonlinear Physics · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 6 citations into it

Whom Chengyue Wu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Daniel T. Gillespie
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Jacob Devlin
8. Ilya Sutskever
9. Yann LeCun
10. Ross B. Girshick

Papers from Chengyue Wu's perspective

Ordered by how strongly the researchers Chengyue Wu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding (2025) — 345 citations
• Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation (2024) — 446 citations