Qiang Ning
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 12 papers; trusts 161 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 243 citations into it; #4,850 of 35,345 by trust here, #4,316 by citations
- Natural Language Processing — 202 citations into it; #1,344 of 5,688 by trust here, #1,649 by citations
- Evaluation & Benchmarks — 79 citations into it; #3,088 of 3,147 by trust here, #1,124 by citations
- Computer Vision and Pattern Recognition — 67 citations into it; #7,782 of 21,575 by trust here, #5,422 by citations
- Information Systems — 22 citations into it; #4,519 of 8,771 by trust here, #6,195 by citations
- Large Language Models — 19 citations into it
- Computer Networks and Communications — 17 citations into it; #8,037 of 9,886 by trust here, #6,498 by citations
- Molecular Biology — 12 citations into it
Whom Qiang Ning trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dan Roth
- Nathanael Chambers
- Marc Verhagen
- Steven Bethard
- Quang Xuan Do
- Geoffrey E. Hinton
- Nasrin Mostafazadeh
- Yoshua Bengio
- James Pustejovsky
- Ming-Wei Chang
Who trusts Qiang Ning overall
- Rujun Han
- Ben Zhou
- Nanyun Peng
- Xiang Ren
- Shuaicheng Zhang
- Haoyu Wang
- Dan Roth
- Chadi Helwe
- Xinyu Zhao
- Kyle Richardson
Papers from Qiang Ning's perspective
Ordered by how strongly the researchers Qiang Ning trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- Evaluating Models’ Local Decision Boundaries via Contrast Sets (2020) — 462 citations
- Evaluating NLP Models via Contrast Sets (2020) — 85 citations
- “Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding (2019) — 238 citations
- A Multi-Axis Annotation Scheme for Event Temporal Relations (2018) — 197 citations
- TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions (2020) — 128 citations
- Temporal Common Sense Acquisition with Minimal Supervision (2020) — 96 citations
- Temporal Reasoning on Implicit Events from Distant Supervision (2020) — 95 citations
- Partial Or Complete, That’s The Question (2019) — 15 citations
- Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction (2019) — 134 citations
- Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer (2021) — 13 citations
- CogCompNLP: Your Swiss Army Knife for NLP (2018) — 29 citations
- Joint Reasoning for Temporal and Causal Relations (2018) — 173 citations