Diyi Yang | Academic Influence

Diyi Yang's AcademicInfluence.com Rankings

Diyi Yang

Computer Science

#3377

World Rank

#3543

Historical Rank

Machine Learning

#1425

World Rank

#1447

Historical Rank

Artificial Intelligence

#5793

World Rank

#5880

Historical Rank

Database

#8761

World Rank

#9199

Historical Rank

computer-science Degrees

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Computer Science

Diyi Yang's Degrees

PhD Computer Science Tsinghua University
Masters Computer Science Tsinghua University
Bachelors Computer Science Tsinghua University

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Why Is Diyi Yang Influential?

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According to Wikipedia, Diyi Yang is a Chinese computer scientist and assistant professor of computer science at Stanford University. Her research combines linguistics and social sciences with machine learning to address social problems like online harassment, as well as user-centered text generation and learning with limited data.

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Diyi Yang's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Hierarchical Attention Networks for Document Classification (2016) (3798)
“ Turn on , Tune in , Drop out ” : Anticipating student dropouts in Massive Open Online Courses (2013) (352)
Sentiment Analysis in MOOC Discussion Forums: What does it tell us? (2014) (327)
That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets (2015) (222)
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification (2020) (198)
ToTTo: A Controlled Table-To-Text Generation Dataset (2020) (182)
Humor Recognition and Humor Anchor Extraction (2015) (168)
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) (156)
Social factors that contribute to attrition in MOOCs (2014) (136)
Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains (2015) (122)
Linguistic Reflections of Student Engagement in Massive Open Online Courses (2014) (111)
Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses (2015) (103)
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization (2020) (91)
Incorporating Word Correlation Knowledge into Topic Modeling (2015) (89)
Automatically Neutralizing Subjective Bias in Text (2019) (89)
Forum Thread Recommendation for Massive Open Online Courses (2014) (85)
Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities (2019) (76)
The Channel Matters: Self-disclosure, Reciprocity and Social Support in Online Cancer Support Groups (2019) (68)
Commitment of Newcomers and Old-timers to Online Health Support Communities (2017) (63)
Identifying Semantic Edit Intentions from Revisions in Wikipedia (2017) (59)
Question recommendation with constraints for massive open online courses (2014) (59)
The Importance of Modeling Social Factors of Language: Theory and Practice (2021) (56)
Who Did What: Editor Role Identification in Wikipedia (2021) (55)
Serendipitous Personalized Ranking for Top-N Recommendation (2012) (53)
Positive Impact of Collaborative Chat Participation in an edX MOOC (2015) (52)
Local implicit feedback mining for music recommendation (2012) (48)
Towards an Integration of Text and Graph Clustering Methods as a Lens for Studying Social Interaction in MOOCs (2014) (48)
Combining Factorization Model and Additive Forest for Collaborative Followee Recommendation (2012) (47)
Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms (2019) (44)
Exploring the Effect of Student Confusion in Massive Open Online Courses (2016) (43)
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs (2021) (41)
Peer Influence on Attrition in Massively Open Online Courses (2014) (40)
Continual Learning for Text Classification with Information Disentanglement Based Regularization (2021) (34)
Self-Disclosure and Channel Difference in Online Health Support Groups (2017) (33)
Local Additivity Based Data Augmentation for Semi-supervised NER (2020) (32)
Putting Humans in the Natural Language Processing Loop: A Survey (2021) (29)
Challenges and Opportunities of Dual-Layer MOOCs: Reflections from an edX Deployment Study (2015) (28)
Fostering Discussion across Communication Media in Massive Open Online Courses (2015) (27)
Virtual Teams in Massive Open Online Courses (2015) (26)
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization (2020) (24)
Weakly Supervised Role Identification in Teamwork Interactions (2015) (23)
Predicting advertiser bidding behaviors in sponsored search by rationality modeling (2013) (21)
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability (2021) (20)
Graph Vulnerability and Robustness: A Survey (2021) (17)
Personalized Response Generation via Generative Split Memory Network (2021) (17)
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering (2021) (13)
Semi-supervised Models via Data Augmentation for Classifying Interactive Affective Responses (2020) (13)
Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection (2020) (12)
“This is a Problem, Don’t You Agree?” Framing and Bias in Human Evaluation for Natural Language Generation (2020) (12)
A Lightly Supervised Approach to Role Identification in Wikipedia Talk Page Discussions (2015) (12)
Persuading Teammates to Give (2017) (11)
Understanding Self-Narration of Personally Experienced Racism on Reddit (2018) (11)
Towards Identifying the Resolvability of Threads in MOOCs (2014) (11)
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization (2021) (10)
Edit Categories and Editor Role Identification in Wikipedia (2016) (10)
Constrained Question Recommendation in MOOCs via Submodularity (2014) (10)
CSCL and Learning Analytics: Opportunities to Support Social Interaction, Self-Regulation and Socially Shared Regulation (2015) (9)
Proximate Social Factors in First-Time Contribution to Online Communities (2020) (9)
Assessment of Discussion in Learning Contexts (2017) (9)
Collaborative filtering with short term preferences mining (2012) (8)
Understanding Motivations behind Inaccurate Check-ins (2018) (8)
Effects of Support-Seekers’ Community Knowledge on Their Expressed Satisfaction with the Received Comments in Mental Health Communities (2021) (7)
Alleviating the Negative Effect of Up and Downvoting on Help Seeking in MOOC Discussion Forums (2015) (7)
Informative household recommendation with feature-based matrix factorization (2011) (6)
Examining the Ordering of Rhetorical Strategies in Persuasive Requests (2020) (6)
Will AI Console Me when I Lose my Pet? Understanding Perceptions of AI-Mediated Email Writing (2022) (6)
Successful Online Socialization: Lessons from the Wikipedia Education Program (2020) (5)
Understanding the Usage of Online Media for Parenting from Infancy to Preschool At Scale (2021) (5)
RECAST: Interactive Auditing of Automatic Toxicity Detection Models (2020) (4)
Multi-level Modeling of Social Roles in Online Micro-lending Platforms (2019) (3)
Modeling Motivational Interviewing Strategies on an Online Peer-to-Peer Counseling Platform (2022) (2)
Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Events (2019) (2)
Join, Stay or Go? (2021) (2)
Six Feet Apart: Online Payments During the COVID-19 Pandemic (2022) (1)
Tuiteamos o pongamos un tuit? Investigating the Social Constraints of Loanword Integration in Spanish Social Media (2021) (1)
Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games (2022) (0)
Metrics for Peer Counseling: Triangulating Success Outcomes for Online Therapy Platforms (2023) (0)
Understanding people's needs in viewing diverse social opinions about controversial topics (2023) (0)
Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones (2012) (0)
Toward more effective and equitable learning: Identifying barriers and solutions for the future of online education. (2022) (0)
RECAST (2021) (0)
Characterizing Collective Attention via Descriptor Context in Public Discussions of Crisis Events (2019) (0)
Proceedings of the 11th International Conference on Computer Supported Collaborative Learning (CSCL 2015) (2015) (0)

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Other Resources About Diyi Yang

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What Schools Are Affiliated With Diyi Yang?

Diyi Yang is affiliated with the following schools: