J. Wang
Molecular Biology · Nature Biotechnology · 2005–2022
A researcher in the Science corpus: 15 papers; trusts 82 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 148 citations into it
- Artificial Intelligence — 97 citations into it; #11,353 of 35,345 by trust here, #10,319 by citations
- Computer Vision and Pattern Recognition — 53 citations into it; #13,439 of 21,575 by trust here, #20,271 by citations
- Natural Language Processing — 37 citations into it
- Speech & Audio — 36 citations into it; #1,021 of 1,076 by trust here, #752 by citations
- Aerospace Engineering — 25 citations into it; #3,339 of 6,421 by trust here, #6,012 by citations
- Reinforcement Learning — 24 citations into it
- Model Architectures — 18 citations into it
Whom J. Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Whelan
- Qian-Yi Zhou
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Graves
- Tero Harju
- Alex Krizhevsky
- Jürgen Sturm
- Ilya Sutskever
Who trusts J. Wang overall
- Arash Bahrammirzaee
- Omer Berat Sezer
- Jie Wang
- Peidong Wang
- Thomas Schöps
- Mahdi Yazdanpour
- A. Ozbayoglu
- Jun Wang
Papers from J. Wang's perspective
Ordered by how strongly the researchers J. Wang 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)
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Online Reconstruction of Indoor Scenes from RGB-D Streams (2016) — 26 citations
- Multi-Agent Reinforcement Learning is a Sequence Modeling Problem (2022) — 362 citations
- Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition (2018) — 59 citations
- Improving Attention-Based End-to-End ASR Systems with Sequence-Based Loss Functions (2018) — 10 citations
- Comparative genomics reveals insights into avian genome evolution and adaptation (2014) — 968 citations
- Forecasting model of global stock index by stochastic time effective neural network (2008) — 159 citations
- Construction of Sturmian sequences (2005) — 6 citations
- FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis (2022) — 237 citations
- Large-scale association analyses identify host factors influencing human gut microbiome composition (2021) — 1,459 citations
- Comprehensive Study of Optical, Physical, Chemical, and Radiative Properties of Total Columnar Atmospheric Aerosols over China: An Overview of Sun-Sky Radiometer Observation Network (SONET) Measurements (2017) — 177 citations
- MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence (2017) — 248 citations
- Cost analysis for sustainable off-site construction based on a multiple-case study in China (2016) — 210 citations
- Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement (2013) — 1,196 citations
- Aegilops tauschii draft genome sequence reveals a gene repertoire for wheat adaptation (2013) — 729 citations
- Draft genome sequence of pigeonpea (Cajanus cajan), an orphan legume crop of resource-poor farmers (2011) — 812 citations