Chenhao Tan

Orcid: 0000-0002-3981-2116

According to our database1, Chenhao Tan authored at least 112 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Governance of the Black Experience on Reddit: r/BlackPeopleTwitter as a Case Study in Supporting Sense of Virtual Community for Black Users.
Proc. ACM Hum. Comput. Interact., 2024

Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community on Reddit.
Proc. ACM Hum. Comput. Interact., 2024

Gift Contagion in Online Groups: Evidence from Virtual Red Packets.
Manag. Sci., 2024

Literature Meets Data: A Synergistic Approach to Hypothesis Generation.
CoRR, 2024

Causal Micro-Narratives.
CoRR, 2024

GPT-4V Cannot Generate Radiology Reports Yet.
CoRR, 2024

Towards a Client-Centered Assessment of LLM Therapists by Client Simulation.
CoRR, 2024

The Impossibility of Fair LLMs.
CoRR, 2024

Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports.
CoRR, 2024

Hypothesis Generation with Large Language Models.
CoRR, 2024

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning.
CoRR, 2024

Quantifying the Uniqueness of Donald Trump in Presidential Discourse.
CoRR, 2024

The First Workshop on AI Behavioral Science.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Machine Explanations and Human Understanding.
Trans. Mach. Learn. Res., 2023

How Large Language Models Will Disrupt Data Management.
Proc. VLDB Endow., 2023

Selective Explanations: Leveraging Human Input to Align Explainable AI.
Proc. ACM Hum. Comput. Interact., 2023

Clinical Notes Reveal Physician Fatigue.
CoRR, 2023

Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community.
CoRR, 2023

Characterizing Political Bias in Automatic Summaries: A Case Study of Trump and Biden.
CoRR, 2023

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.
CoRR, 2023

Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation.
CoRR, 2023


Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pragmatic Radiology Report Generation.
Proceedings of the Machine Learning for Health, 2023

Learning Human-Compatible Representations for Case-Based Decision Support.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Ecologically Valid Explanations for Label Variation in NLI.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Entity-Based Evaluation of Political Bias in Automatic Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning to Ignore Adversarial Attacks.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

FLamE: Few-shot Learning from Natural Language Explanations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Language of Bargaining.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
The Impact of Governance Bots on Sense of Virtual Community: Development and Validation of the GOV-BOTs Scale.
Proc. ACM Hum. Comput. Interact., 2022

Inferring Brain State Dynamics Underlying Naturalistic Stimuli Evoked Emotion Changes With dHA-HMM.
Neuroinformatics, 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR, 2022

Rethinking Explainability as a Dialogue: A Practitioner's Perspective.
CoRR, 2022

Probing Classifiers are Unreliable for Concept Removal and Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Diversity and Limits of Human Explanations.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Active Example Selection for In-Context Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Responsible Language Technologies: Foreseeing and Mitigating Harms.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

What to Learn, and How: Toward Effective Learning from Rationales.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making.
Proc. ACM Hum. Comput. Interact., 2021

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies.
CoRR, 2021

Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI.
CoRR, 2021

Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application.
CoRR, 2021

Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Decision-Focused Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

On Positivity Bias in Negative Reviews.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Quantitative Portrait of Wikipedia's High-Tempo Collaborations during the 2020 Coronavirus Pandemic.
CoRR, 2020

A Tale of Two Communities: Characterizing Reddit Response to COVID-19 through /r/China_Flu and /r/Coronavirus.
CoRR, 2020

Harnessing Explanations to Bridge AI and Humans.
CoRR, 2020

Explaining machine learning classifiers through diverse counterfactual explanations.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Characterizing the Value of Information in Medical Notes.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Evaluating and Characterizing Human Rationales.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Measuring Online Debaters' Persuasive Skill from Text over Time.
Trans. Assoc. Comput. Linguistics, 2019

Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums.
Proc. ACM Hum. Comput. Interact., 2019

Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community.
Proc. ACM Hum. Comput. Interact., 2019

Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules.
Int. J. Approx. Reason., 2019

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers.
CoRR, 2019

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification.
CoRR, 2019

Identify and understand pay-it-forward reciprocity using millions of online red packets.
CoRR, 2019

Learning Fair Representations via an Adversarial Framework.
CoRR, 2019

An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction.
Appl. Soft Comput., 2019

Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities.
Proceedings of the World Wide Web Conference, 2019

What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings.
Proceedings of the World Wide Web Conference, 2019

Ask not what AI can do, but what AI should do: Towards a framework of task delegability.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

No Permanent Friends or Enemies: Tracking Relationships between Nations from News.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
"This is why we play": Characterizing Online Fan Communities of the NBA Teams.
Proc. ACM Hum. Comput. Interact., 2018

Framing Effects: Choice of Slogans Used to Advertise Online Experiments Can Boost Recruitment and Lead to Sample Biases.
Proc. ACM Hum. Comput. Interact., 2018

Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media.
AI Mag., 2018

"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

LSTMs Exploit Linguistic Attributes of Data.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories.
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

Tracing Community Genealogy: How New Communities Emerge from the Old.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

Neural Models for Documents with Metadata.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Online Red Packets: A Large-scale Empirical Study of Gift Giving on WeChat.
CoRR, 2017

A Neural Framework for Generalized Topic Models.
CoRR, 2017

Dynamic Entity Representations in Neural Language Models.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Computational Approaches to Understanding Human Behavior from Online Social Interactions: Language and Communities.
PhD thesis, 2016

Talk it up or play it down? (Un)expected correlations between (de-)emphasis and recurrence of discussion points in consequential U.S. economic policy meetings.
CoRR, 2016

Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions.
Proceedings of the 25th International Conference on World Wide Web, 2016

Internet Collaboration on Extremely Difficult Problems: Research versus Olympiad Questions on the Polymath Site.
Proceedings of the 25th International Conference on World Wide Web, 2016

Lost in Propagation? Unfolding News Cycles from the Source.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015
All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement.
Proceedings of the 24th International Conference on World Wide Web, 2015

2014
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Query-dependent cross-domain ranking in heterogeneous network.
Knowl. Inf. Syst., 2013

On the Interplay between Social and Topical Structure.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Instant foodie: predicting expert ratings from grassroots.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
On optimization of expertise matching with various constraints.
Neurocomputing, 2012

To each his own: personalized content selection based on text comprehensibility.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper.
Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, 2012

2011
Social-Topical Affiliations: The Interplay between Structure and Popularity
CoRR, 2011

User-level sentiment analysis incorporating social networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Does Bad News Go Away Faster?
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Expertise Matching via Constraint-Based Optimization.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Social action tracking via noise tolerant time-varying factor graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
THU-IMG at TRECVID 2009.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009


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