Chenhao Tan

Artificial Intelligence · 2011–2023

A researcher in the Science corpus: 16 papers; trusts 446 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 314 citations into it; #5,545 of 35,345 by trust here, #4,526 by citations
Natural Language Processing — 127 citations into it; #4,868 of 5,688 by trust here, #2,440 by citations
Safety, Robustness & Interpretability — 101 citations into it; #820 of 2,251 by trust here, #1,186 by citations
Computer Vision and Pattern Recognition — 74 citations into it
Sociology and Political Science — 51 citations into it
Evaluation & Benchmarks — 47 citations into it; #2,578 of 3,147 by trust here, #3,037 by citations
Safety Research — 47 citations into it
Information Systems — 43 citations into it; #8,324 of 8,771 by trust here, #3,098 by citations

Whom Chenhao Tan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

Who trusts Chenhao Tan overall

Papers from Chenhao Tan's perspective

Ordered by how strongly the researchers Chenhao Tan 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)
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

Dynamic Entity Representations in Neural Language Models (2017) — 92 citations
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions (2016) — 435 citations
Explaining machine learning classifiers through diverse counterfactual explanations (2019) — 1,400 citations
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making (2021) — 149 citations
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories (2018) — 315 citations
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter (2014) — 209 citations
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection (2018) — 469 citations
On the Diversity and Limits of Human Explanations (2021) — 39 citations
Harnessing Explanations to Bridge AI and Humans (2020) — 6 citations
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (2023) — 514 citations
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies (2021) — 249 citations
Evaluating and Characterizing Human Rationales (2020) — 56 citations
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers (2019) — 240 citations
LSTMs Exploit Linguistic Attributes of Data (2018) — 16 citations
All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement (2015) — 97 citations
User-level sentiment analysis incorporating social networks (2011) — 483 citations