World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
10964
World Ranking
9085
National Ranking
3863

Overview

Diyi Yang is affiliated with Stanford University in the United States and specializes in the field of Computer Science, with a primary focus on Artificial Intelligence. Their research portfolio spans interdisciplinary subfields including Sociology and Political Science, Communication, Computer Vision and Pattern Recognition, and Information Systems.

The scientist's research topics cover several domains such as topic modeling, natural language processing techniques, multimodal machine learning applications, hate speech and cyberbullying detection, social media and politics, misinformation and its impacts, and explainable artificial intelligence (XAI).

Diyi Yang has coauthored numerous papers with frequent collaborators including Caleb Ziems, William A. Held, Jiaao Chen, Yanzhe Zhang, and Omar Shaikh.

They have published extensively in various academic venues, with a particular concentration in:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Some of their recent academic papers include:

  • "Can Large Language Models Transform Computational Social Science?", 2023, Computational Linguistics
  • "Using large language models in psychology", 2023, Nature Reviews Psychology
  • "Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond", 2022, Transactions of the Association for Computational Linguistics
  • "Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter", 2021, Proceedings of the ACM on Human-Computer Interaction
  • "Latent Hatred: A Benchmark for Understanding Implicit Hate Speech", 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Best Publications

  • Hierarchical Attention Networks for Document Classification

    Zichao Yang;Diyi Yang;Chris Dyer;Xiaodong He

  • Sentiment Analysis in MOOC Discussion Forums: What does it tell us?

    Miaomiao Wen;Diyi Yang;Carolyn Penstein Rosé

  • MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

    Jiaao Chen;Zichao Yang;Diyi Yang

  • That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets

    William Yang Wang;Diyi Yang

  • ToTTo: A Controlled Table-To-Text Generation Dataset

    Ankur P. Parikh;Xuezhi Wang;Sebastian Gehrmann;Manaal Faruqui

  • Humor Recognition and Humor Anchor Extraction

    Diyi Yang;Alon Lavie;Chris Dyer;Eduard Hovy

  • Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains.

    Xu Wang;Diyi Yang;Miaomiao Wen;Kenneth R. Koedinger

  • Social factors that contribute to attrition in MOOCs

    Carolyn Penstein Rosé;Ryan Carlson;Diyi Yang;Miaomiao Wen

  • Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization

    Jiaao Chen;Diyi Yang

  • Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses

    Diyi Yang;Miaomiao Wen;Iris Howley;Robert Kraut

  • Latent Hatred: A Benchmark for Understanding Implicit Hate Speech

    Mai ElSherief;Caleb Ziems;David Muchlinski;Vaishnavi Anupindi

  • Automatically Neutralizing Subjective Bias in Text

    Reid Pryzant;Richard Diehl Martinez;Nathan Dass;Sadao Kurohashi

  • Linguistic Reflections of Student Engagement in Massive Open Online Courses

    Miaomiao Wen;Diyi Yang;Carolyn Penstein Rosé

  • The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

    Sebastian Gehrmann;Tosin Adewumi;Karmanya Aggarwal;Pawan Sasanka Ammanamanchi

  • The Importance of Modeling Social Factors of Language: Theory and Practice

    Dirk Hovy;Diyi Yang

  • Incorporating Word Correlation Knowledge into Topic Modeling

    Pengtao Xie;Diyi Yang;Eric P. Xing

  • Graph Vulnerability and Robustness: A Survey

    Scott Freitas;Diyi Yang;Srijan Kumar;Hanghang Tong

  • The Channel Matters: Self-disclosure, Reciprocity and Social Support in Online Cancer Support Groups

    Diyi Yang;Zheng Yao;Joseph Seering;Robert Kraut

  • Forum Thread Recommendation for Massive Open Online Courses

    Diyi Yang;Mario Piergallini;Iris K. Howley;Carolyn Penstein Rosé

  • Seekers, Providers, Welcomers, and Storytellers: Modeling Social Roles in Online Health Communities

    Diyi Yang;Robert E. Kraut;Tenbroeck Smith;Elijah Mayfield

  • Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs

    Jiaao Chen;Diyi Yang

  • Continual Learning for Text Classification with Information Disentanglement Based Regularization

    Yufan Huang;Yanzhe Zhang;Jiaao Chen;Xuezhi Wang

Frequent Co-Authors

Carolyn Penstein Rosé
Carolyn Penstein Rosé Carnegie Mellon University
Robert E. Kraut
Robert E. Kraut Carnegie Mellon University
Duen Horng Chau
Duen Horng Chau Georgia Institute of Technology
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Jacob Eisenstein
Jacob Eisenstein Google (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University
Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Dipanjan Das
Dipanjan Das Google (United States)
Dan Jurafsky
Dan Jurafsky Stanford University
Yong Li
Yong Li Tsinghua University

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