Dongxiang Zhang
Artificial Intelligence · 2009–2021
A researcher in the Science corpus: 13 papers; trusts 306 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 195 citations into it; #4,738 of 35,345 by trust here, #5,458 by citations
- Natural Language Processing — 172 citations into it; #1,087 of 5,688 by trust here, #1,377 by citations
- Computer Vision and Pattern Recognition — 83 citations into it; #18,889 of 21,575 by trust here, #12,689 by citations
- Information Systems — 45 citations into it; #3,927 of 8,771 by trust here, #1,672 by citations
- Model Architectures — 21 citations into it; #1,944 of 2,278 by trust here, #1,749 by citations
- Reinforcement Learning — 16 citations into it; #2,046 of 2,242 by trust here, #1,545 by citations
- Computational Theory and Mathematics — 15 citations into it; #2,516 of 12,182 by trust here, #1,700 by citations
- Evaluation & Benchmarks — 15 citations into it
Whom Dongxiang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Subhro Roy
- Richard Socher
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- David G. Lowe
- Dan Roth
- Danqing Huang
- Christopher D. Manning
Who trusts Dongxiang Zhang overall
- Lei Wang
- Jipeng Zhang
- Zhipeng Xie
- Qinzhuo Wu
- Yibin Shen
- Zhenwen Liang
- Bugeun Kim
- Jierui Li
- Gao Cong
- Jinghui Qin
Papers from Dongxiang Zhang's perspective
Ordered by how strongly the researchers Dongxiang Zhang 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis (2019) — 46 citations
- The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers (2018) — 149 citations
- Translating a Math Word Problem to an Expression Tree (2018) — 179 citations
- MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning (2018) — 122 citations
- Template-Based Math Word Problem Solvers with Recursive Neural Networks (2019) — 168 citations
- Personal recommendation using deep recurrent neural networks in NetEase (2016) — 136 citations
- MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers (2021) — 79 citations
- Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions (2019) — 109 citations
- Unifying Virtual and Physical Worlds (2017) — 21 citations
- Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions (2016) — 338 citations
- Measurements of the Higgs boson production and decay rates and coupling strengths using pp collision data at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\o (2015) — 279 citations
- Constraints on new phenomena via Higgs boson couplings and invisible decays with the ATLAS detector (2015) — 260 citations
- Keyword Search in Spatial Databases: Towards Searching by Document (2009) — 345 citations