2026 William Yang Wang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	59	3391	3295	1643	1584	202	16050

Overview

William Yang Wang is affiliated with the University of California, Santa Barbara in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology, and Management Science and Operations Research.

Their work covers a variety of topics, including:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Text Readability and Simplification
Speech and Dialogue Systems
Machine Learning in Healthcare
Advanced Text Analysis Techniques

William Yang Wang has contributed to several recent papers. Notable publications include:

"On the Opportunities and Risks of Foundation Models," 2021, arXiv (Cornell University)
"Holistic Evaluation of Language Models," 2022, arXiv (Cornell University)
"Associations of semaglutide with first-time diagnosis of Alzheimer's disease in patients with type 2 diabetes: Target trial emulation using nationwide real-world data in the US," 2024, Alzheimer's & Dementia
"Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
"Association of semaglutide with reduced incidence and relapse of cannabis use disorder in real-world populations: a retrospective cohort study," 2024, Molecular Psychiatry

The researcher frequently collaborates with colleagues including Wenhu Chen, Wenda Xu, Michael Saxon, Yi-Lin Tuan, and Zhiyu Chen.

William Yang Wang has published extensively in venues such as:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
BMJ Global Health
Therapeutic Innovation & Regulatory Science
Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

2127
Citations
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

William Yang Wang

1337
Citations
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

Wenhan Xiong;Thien Hoang;William Yang Wang

799
Citations
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Xin Wang;Qiuyuan Huang;Asli Celikyilmaz;Jianfeng Gao

540
Citations
Mitigating Gender Bias in Natural Language Processing: Literature Review

Tony Sun;Andrew Gaut;Shirlyn Tang;Yuxin Huang

525
Citations
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

Xin Wang;Jiawei Wu;Junkun Chen;Lei Li

450
Citations
KBGAN: Adversarial Learning for Knowledge Graph Embeddings

Liwei Cai;William Yang Wang

305
Citations
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

301
Citations
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments

Yuankai Qi;Qi Wu;Peter Anderson;Xin Wang

293
Citations
Video Captioning via Hierarchical Reinforcement Learning

Xin Wang;Wenhu Chen;Jiawei Wu;Yuan-Fang Wang

292
Citations
Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media

Mai ElSherief;Vivek Kulkarni;Dana Nguyen;William Yang Wang

289
Citations
A Survey on Natural Language Processing for Fake News Detection

Ray Oshikawa;Jing Qian;William Yang Wang

286
Citations
One-Shot Relational Learning for Knowledge Graphs

Wenhan Xiong;Mo Yu;Shiyu Chang;Xiaoxiao Guo

273
Citations
TabFact: A Large-scale Dataset for Table-based Fact Verification

Wenhu Chen;Hongmin Wang;Jianshu Chen;Yunkai Zhang

273
Citations
Diagnosing performance changes by comparing request flows

Raja R. Sambasivan;Alice X. Zheng;Michael De Rosa;Elie Krevat

243
Citations
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

Pengda Qin;Weiran Xu;William Yang Wang

242
Citations
WikiHow: A Large Scale Text Summarization Dataset

Mahnaz Koupaee;William Yang Wang

220
Citations
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

Xin Wang;Wenhan Xiong;Hongmin Wang;William Yang Wang

216
Citations
MojiTalk: Generating Emotional Responses at Scale

Xianda Zhou;William Yang Wang

209
Citations
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Wenhu Chen;Hanwen Zha;Zhiyu Chen;Wenhan Xiong

207
Citations

Frequent Co-Authors

Mo Yu IBM (United States)

Shiyu Chang University of California, Santa Barbara

Elizabeth Belding University of California, Santa Barbara

William W. Cohen Carnegie Mellon University

Yuan-Fang Wang University of California, Santa Barbara

Miguel P. Eckstein University of California, Santa Barbara

Xifeng Yan University of California, Santa Barbara

Yu Su The Ohio State University

Alexander I. Rudnicky Carnegie Mellon University

Scott T. Grafton University of California, Santa Barbara

External Links

Personal website of William Yang Wang Google Scholar page

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