Yuqing Du
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 85 citations into it
- Computer Vision and Pattern Recognition — 63 citations into it
- Optimization & Training — 32 citations into it
- Computer Networks and Communications — 21 citations into it
- Efficiency & Compression — 17 citations into it
- Electrical and Electronic Engineering — 17 citations into it
- Computational Mechanics — 13 citations into it
Whom Yuqing Du trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Jiaxiang Wu
- Alex Krizhevsky
- Geoffrey E. Hinton
- Dan Alistarh
- Jimmy Ba
- Krishna Kiran Mukkavilli
- Yoshua Bengio
- Michael I. Jordan
- Kaiming He
Who trusts Yuqing Du overall
Papers from Yuqing Du's perspective
Ordered by how strongly the researchers Yuqing Du trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Aligning Text-to-Image Models using Human Feedback (2023) — 471 citations
- DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models (2023) — 460 citations
- One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis (2020) — 391 citations
- High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning (2020) — 13 citations
- High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning (2019) — 110 citations
- Towards an Intelligent Edge: Wireless Communication Meets Machine Learning (2018) — 580 citations