Diyi Yang

Orcid: 0000-0003-1220-3983

According to our database1, Diyi Yang authored at least 182 papers between 2012 and 2024.

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Bibliography

2024
Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors.
CoRR, 2024

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future.
CoRR, 2024

A Safe Harbor for AI Evaluation and Red Teaming.
CoRR, 2024

Design2Code: How Far Are We From Automating Front-End Engineering?
CoRR, 2024

Unintended Impacts of LLM Alignment on Global Representation.
CoRR, 2024

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs.
CoRR, 2024

Anchor Points: Benchmarking Models with Much Fewer Examples.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph Vulnerability and Robustness: A Survey.
IEEE Trans. Knowl. Data Eng., June, 2023

"Honestly, I Think TikTok has a Vendetta Against Black Creators": Understanding Black Content Creator Experiences on TikTok.
Proc. ACM Hum. Comput. Interact., 2023

Identifying and Mitigating the Security Risks of Generative AI.
Found. Trends Priv. Secur., 2023

What Makes Digital Support Effective? How Therapeutic Skills Affect Clinical Well-Being.
CoRR, 2023

From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media.
CoRR, 2023

Grounding or Guesswork? Large Language Models are Presumptive Grounders.
CoRR, 2023

A Material Lens on Coloniality in NLP.
CoRR, 2023

Impressions: Understanding Visual Semiotics and Aesthetic Impact.
CoRR, 2023

Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization.
CoRR, 2023

DyVal: Graph-informed Dynamic Evaluation of Large Language Models.
CoRR, 2023

Rehearsal: Simulating Conflict to Teach Conflict Resolution.
CoRR, 2023

Identifying and Mitigating the Security Risks of Generative AI.
CoRR, 2023

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.
CoRR, 2023

Training Socially Aligned Language Models in Simulated Human Society.
CoRR, 2023

Empowering LLM-based Machine Translation with Cultural Awareness.
CoRR, 2023

Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback.
CoRR, 2023

Can Large Language Models Transform Computational Social Science?
CoRR, 2023

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP.
CoRR, 2023

Auditing Gender Presentation Differences in Text-to-Image Models.
CoRR, 2023

Combating Robocalls with Phone Virtual Assistant Mediated Interaction.
Proceedings of the 32nd USENIX Security Symposium, 2023

Understanding People's Needs in Viewing Diverse Social Opinions about Controversial Topics.
Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

Just Another Day on Twitter: A Complete 24 Hours of Twitter Data.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Parameter-Efficient Fine-Tuning Design Spaces.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mitigating Biases in Hate Speech Detection from A Causal Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Task-Agnostic Low-Rank Adapters for Unseen English Dialects.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Deciphering Stereotypes in Pre-Trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Impressions: Visual Semiotics and Aesthetic Impact Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Culturally Aware Natural Language Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Cheaper and Better Diffusion Language Model with Soft-Masked Noise.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Unlearn What You Want to Forget: Efficient Unlearning for LLMs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Shapley Head Pruning: Identifying and Removing Interference in Multilingual Transformers.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

ConStruct-VL: Data-Free Continual Structured VL Concepts Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Shaping the Emerging Norms of Using Large Language Models in Social Computing Research.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Metrics for Peer Counseling: Triangulating Success Outcomes for Online Therapy Platforms.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Multi-VALUE: A Framework for Cross-Dialectal English NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

NormBank: A Knowledge Bank of Situational Social Norms.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Forgotten Knowledge: Examining the Citational Amnesia in NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Modeling Cross-Cultural Pragmatic Inference with Codenames Duet.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Compositional Data Augmentation for Abstractive Conversation Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TADA : Task Agnostic Dialect Adapters for English.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Controllable Conversation Generation with Conversation Structures via Diffusion Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Human-in-the-loop Abstractive Dialogue Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
Trans. Assoc. Comput. Linguistics, 2022

Six Feet Apart: Online Payments During the COVID-19 Pandemic.
Proc. ACM Hum. Comput. Interact., 2022

Modeling Motivational Interviewing Strategies on an Online Peer-to-Peer Counseling Platform.
Proc. ACM Hum. Comput. Interact., 2022

Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games.
CoRR, 2022

Multi-VALUE: A Framework for Cross-Dialectal English NLP.
CoRR, 2022

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.
CoRR, 2022

UserNLP'22: 2022 International Workshop on User-centered Natural Language Processing.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SUBS: Subtree Substitution for Compositional Semantic Parsing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Explaining Toxic Text via Knowledge Enhanced Text Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Measure and Improve Robustness in NLP Models: A Survey.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SPORTSINTERVIEW: A Large-Scale Sports Interview Benchmark for Entity-centric Dialogues.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Know It to Defeat It: Exploring Health Rumor Characteristics and Debunking Efforts on Chinese Social Media during COVID-19 Crisis.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Linguistic Characterization of Divisive Topics Online: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

GNN is a Counter? Revisiting GNN for Question Answering.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Geographic Citation Gaps in NLP Research.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Robustness of Demonstration-based Learning Under Limited Data Scenario.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch.
Proceedings of the Computer Vision - ECCV 2022, 2022

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Will AI Console Me when I Lose my Pet? Understanding Perceptions of AI-Mediated Email Writing.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Inducing Positive Perspectives with Text Reframing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

VALUE: Understanding Dialect Disparity in NLU.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Continual Sequence Generation with Adaptive Compositional Modules.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Learning with Limited Text Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DMix: Adaptive Distance-aware Interpolative Mixup.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

A Search Engine for Discovery of Scientific Challenges and Directions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Join, Stay or Go?: A Closer Look at Members' Life Cycles in Online Health Communities.
Proc. ACM Hum. Comput. Interact., 2021

RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization.
Proc. ACM Hum. Comput. Interact., 2021

Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter.
Proc. ACM Hum. Comput. Interact., 2021

Interpreting Deep Learning Models in Natural Language Processing: A Review.
CoRR, 2021

Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.
CoRR, 2021

A Search Engine for Discovery of Biomedical Challenges and Directions.
CoRR, 2021

Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes.
CoRR, 2021

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP.
CoRR, 2021

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization.
CoRR, 2021

Putting Humans in the Natural Language Processing Loop: A Survey.
CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
CoRR, 2021

Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media.
CoRR, 2021

Towards User-Centric Text-to-Text Generation: A Survey.
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

Personalized Response Generation via Generative Split Memory Network.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Continual Learning for Text Classification with Information Disentanglement Based Regularization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

The Importance of Modeling Social Factors of Language: Theory and Practice.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Understanding the Invitation Acceptance in Agent-initiated Social E-commerce.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

WIKIBIAS: Detecting Multi-Span Subjective Biases in Language.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Frustratingly Simple but Surprisingly Strong: Using Language-Independent Features for Zero-shot Cross-lingual Semantic Parsing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Semantic Categorization of Social Knowledge for Commonsense Question Answering.
Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, 2021

HypMix: Hyperbolic Interpolative Data Augmentation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Latent Hatred: A Benchmark for Understanding Implicit Hate Speech.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework.
Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

Evaluating Graph Vulnerability and Robustness using TIGER.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Effects of Support-Seekers' Community Knowledge on Their Expressed Satisfaction with the Received Comments in Mental Health Communities.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Understanding the Usage of Online Media for Parenting from Infancy to Preschool At Scale.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Successful Online Socialization: Lessons from the Wikipedia Education Program.
Proc. ACM Hum. Comput. Interact., 2020

Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses.
CoRR, 2020

Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Events.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Examining the Ordering of Rhetorical Strategies in Persuasive Requests.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

ToTTo: A Controlled Table-To-Text Generation Dataset.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Local Additivity Based Data Augmentation for Semi-supervised NER.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Proximate Social Factors in First-Time Contribution to Online Communities.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

RECAST: Interactive Auditing of Automatic Toxicity Detection Models.
Proceedings of the Chinese CHI 2020: The eighth International Workshop of Chinese CHI, 2020

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Automatically Neutralizing Subjective Bias in Text.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Semi-supervised Models via Data Augmentation for Classifying Interactive Affective Responses.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2019
Multi-level Modeling of Social Roles in Online Micro-lending Platforms.
Proc. ACM Hum. Comput. Interact., 2019

Characterizing Collective Attention via Descriptor Context in Public Discussions of Crisis Events.
CoRR, 2019

Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

The Channel Matters: Self-disclosure, Reciprocity and Social Support in Online Cancer Support Groups.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Understanding Motivations behind Inaccurate Check-ins.
Proc. ACM Hum. Comput. Interact., 2018

Understanding Self-Narration of Personally Experienced Racism on Reddit.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017
Persuading Teammates to Give: Systematic versus Heuristic Cues for Soliciting Loans.
Proc. ACM Hum. Comput. Interact., 2017

Self-Disclosure and Channel Difference in Online Health Support Groups.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Identifying Semantic Edit Intentions from Revisions in Wikipedia.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Commitment of Newcomers and Old-timers to Online Health Support Communities.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
Hierarchical Attention Networks for Document Classification.
Proceedings of the NAACL HLT 2016, 2016

Edit Categories and Editor Role Identification in Wikipedia.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Who Did What: Editor Role Identification in Wikipedia.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Exploring the Effect of Student Confusion in Massive Open Online Courses.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
Incorporating Word Correlation Knowledge into Topic Modeling.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Humor Recognition and Humor Anchor Extraction.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

CSCL and Learning Analytics: Opportunities to Support Social Interaction, Self-Regulation and Socially Shared Regulation.
Proceedings of the 11th International Conference on Computer Supported Collaborative Learning, 2015

Fostering Discussion across Communication Media in Massive Open Online Courses.
Proceedings of the 11th International Conference on Computer Supported Collaborative Learning, 2015

Virtual Teams in Massive Open Online Courses.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Alleviating the Negative Effect of Up and Downvoting on Help Seeking in MOOC Discussion Forums.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Positive Impact of Collaborative Chat Participation in an edX MOOC.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Weakly Supervised Role Identification in Teamwork Interactions.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Question recommendation with constraints for massive open online courses.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Social factors that contribute to attrition in MOOCs.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Linguistic Reflections of Student Engagement in Massive Open Online Courses.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Peer Influence on Attrition in Massively Open Online Courses.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Forum Thread Recommendation for Massive Open Online Courses.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Sentiment Analysis in MOOC Discussion Forums: What does it tell us?
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Constrained Question Recommendation in MOOCs via Submodularity.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Predicting advertiser bidding behaviors in sponsored search by rationality modeling.
Proceedings of the 22nd International World Wide Web Conference, 2013

2012
Serendipitous Personalized Ranking for Top-N Recommendation.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Collaborative filtering with short term preferences mining.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Local implicit feedback mining for music recommendation.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012


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