Chenjie Gu
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 6 papers; trusts 77 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 104 citations into it; #32,564 of 35,345 by trust here, #14,438 by citations
- Computer Vision and Pattern Recognition — 67 citations into it; #14,824 of 21,575 by trust here, #12,172 by citations
- Signal Processing — 44 citations into it; #4,963 of 7,572 by trust here, #2,816 by citations
- Reinforcement Learning — 29 citations into it
- Graph Learning — 24 citations into it
- Model Architectures — 19 citations into it
- Optimization & Training — 15 citations into it
- Generative Models — 14 citations into it
Whom Chenjie Gu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Alex Krizhevsky
- Ilya Sutskever
- Jimmy Ba
- Oriol Vinyals
- Karen Simonyan
Who trusts Chenjie Gu overall
Papers from Chenjie Gu's perspective
Ordered by how strongly the researchers Chenjie Gu 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- DDSP: Differentiable Digital Signal Processing (2020) — 489 citations
- Reinforced Self-Training (ReST) for Language Modeling (2023) — 473 citations
- Graph Matching Networks for Learning the Similarity of Graph Structured Objects (2019) — 685 citations
- MuZero with Self-competition for Rate Control in VP9 Video Compression (2022) — 48 citations
- A Generalized Framework for Population Based Training (2019) — 73 citations
- Fast and Flexible Neural Audio Synthesis (2019) — 35 citations