Jinghui Qin
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 92 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it; #35,277 of 35,345 by trust here, #19,018 by citations
- Natural Language Processing — 70 citations into it; #5,678 of 5,688 by trust here, #3,754 by citations
- Computer Vision and Pattern Recognition — 34 citations into it
- Information Systems — 21 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Reinforcement Learning — 10 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Model Architectures — 7 citations into it
Whom Jinghui Qin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Subhro Roy
- Diederik P. Kingma
- Danqing Huang
- Shuming Shi
- Yoshua Bengio
- Yefim Bakman
- Kyunghyun Cho
- Geoffrey E. Hinton
- Dzmitry Bahdanau
- Lei Wang
Who trusts Jinghui Qin overall
- Yihuai Lan
- Iddo Drori
- Lei Wang
- Minghuan Tan
- Nakul Verma
- Pan Lu
- Xiaodan Liang
- Qiyuan Zhang
- Janice Ahn
Papers from Jinghui Qin's perspective
Ordered by how strongly the researchers Jinghui Qin 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning (2021) — 324 citations
- Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks (2021) — 71 citations
- Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems (2020) — 74 citations