Zhongqiang Huang
Artificial Intelligence · with Huang · 2009–2018
A researcher in the Science corpus: 6 papers; trusts 45 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #5,799 of 35,345 by trust here, #6,517 by citations
- Natural Language Processing — 29 citations into it; #1,486 of 5,688 by trust here, #1,546 by citations
- Social Psychology — 29 citations into it
- Marketing — 22 citations into it
- Sociology and Political Science — 19 citations into it
- Computational Theory and Mathematics — 12 citations into it
- Organizational Behavior and Human Resource Management — 12 citations into it
- Literature and Literary Theory — 10 citations into it
Whom Zhongqiang Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Slav Petrov
- Eugene Charniak
- Liang Huang
- Roger Levy
- David McClosky
- Mark Johnson
- Daniel Klein
- Michael Collins
- Christopher D. Manning
- Takuya Matsuzaki
Who trusts Zhongqiang Huang overall
- Oriol Vinyals
- Slav Petrov
- Zhenghua Li
- Junxian He
- Courtney Napoles
- Yoav Goldberg
- Yoshua Bengio
- Ilya Sutskever
- Jiatao Gu
- Rico Sennrich
Papers from Zhongqiang Huang's perspective
Ordered by how strongly the researchers Zhongqiang Huang 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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)
- 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)
Their papers
- Fast and Robust Neural Network Joint Models for Statistical Machine Translation (2014) — 590 citations
- Self-Training PCFG Grammars with Latent Annotations Across Languages (2009) — 104 citations
- Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms (2016) — 346 citations
- The Influence of Social Crowding on Brand Attachment (2018) — 119 citations
- Slowing Down in the Good Old Days: The Effect of Nostalgia on Consumer Patience (2016) — 102 citations
- Self-Training with Products of Latent Variable Grammars (2010) — 45 citations