Jinshan Zeng
Artificial Intelligence · 2015–2022
A researcher in the Science corpus: 3 papers; trusts 53 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it; #14,424 of 35,345 by trust here, #27,551 by citations
- Computational Mechanics — 38 citations into it; #2,673 of 10,001 by trust here, #4,178 by citations
- Computer Networks and Communications — 25 citations into it; #2,299 of 9,886 by trust here, #4,128 by citations
- Natural Language Processing — 21 citations into it
- Numerical Analysis — 20 citations into it
- Optimization & Training — 19 citations into it; #1,382 of 2,601 by trust here, #2,215 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Mathematical Optimization — 8 citations into it
Whom Jinshan Zeng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Wei Shi
- Pascal Bianchi
- Qing Ling
- Kun Yuan
- Wotao Yin
- P. Lorenzo
- Guannan Qu
- Dusan Jakovetic
- Ioannis D. Schizas
- Gesualdo Scutari
Who trusts Jinshan Zeng overall
- Jianyu Wang
- Haoran Sun
- Zhanhong Jiang
- Gauri Joshi
- Mingyi Hong
- Aditya Balu
- Antonin Chambolle
- Xin Zhang
- Tao Sun
- Chinmay Hegde
Papers from Jinshan Zeng's perspective
Ordered by how strongly the researchers Jinshan Zeng 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Global Convergence of ADMM in Nonconvex Nonsmooth Optimization (2015) — 1,382 citations
- CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information (2022) — 16 citations
- On Nonconvex Decentralized Gradient Descent (2016) — 225 citations