2026 Kai-Wei Chang: 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	62	2821	2738	1394	1343	237	31158

Overview

Kai-Wei Chang is affiliated with the University of California, Los Angeles in the United States. Their research primarily focuses on computer science, with a significant number of publications in artificial intelligence and computer vision and pattern recognition. Other areas of study include information systems, molecular biology, and signal processing.

Their work covers multiple topics, reflecting a broad interest in machine learning and related fields. Key research topics include:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Speech Recognition and Synthesis
Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (XAI)

Kai-Wei Chang has contributed extensively to various publication venues. These include:

arXiv (Cornell University)
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Recent notable papers by Kai-Wei Chang are:

"Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering" (2022), published in arXiv (Cornell University)
"How Much Can CLIP Benefit Vision-and-Language Tasks?" (2021), published in arXiv (Cornell University)
"DEGREE: A Data-Efficient Generation-Based Event Extraction Model" (2022), published in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
"Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies" (2021), published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
"Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond" (2020), published in arXiv (Cornell University)

The scientist has collaborated frequently with several researchers, including:

Nanyun Peng
Kuan-Hao Huang
Aram Galstyan
Wasi Uddin Ahmad
Hung-yi Lee

Best Publications

LIBLINEAR: A Library for Large Linear Classification

Rong-En Fan;Kai-Wei Chang;Cho-Jui Hsieh;Xiang-Rui Wang

9525
Citations
Man is to computer programmer as woman is to homemaker? debiasing word embeddings

Tolga Bolukbasi;Kai-Wei Chang;James Zou;Venkatesh Saligrama

2683
Citations
VisualBERT: A Simple and Performant Baseline for Vision and Language.

Liunian Harold Li;Mark Yatskar;Da Yin;Cho-Jui Hsieh

1462
Citations
A dual coordinate descent method for large-scale linear SVM

Cho-Jui Hsieh;Kai-Wei Chang;Chih-Jen Lin;S. Sathiya Keerthi

1187
Citations
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Jieyu Zhao;Tianlu Wang;Mark Yatskar;Vicente Ordonez

934
Citations
Generating Natural Language Adversarial Examples

Moustafa Alzantot;Yash Sharma;Ahmed Elgohary;Bo-Jhang Ho

909
Citations
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Jieyu Zhao;Tianlu Wang;Mark Yatskar;Vicente Ordonez

758
Citations
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

Yin-Wen Chang;Cho-Jui Hsieh;Kai-Wei Chang;Michael Ringgaard

646
Citations
Unified Pre-training for Program Understanding and Generation

Wasi Uddin Ahmad;Saikat Chakraborty;Baishakhi Ray;Kai-Wei Chang

585
Citations
Mitigating Gender Bias in Natural Language Processing: Literature Review

Tony Sun;Andrew Gaut;Shirlyn Tang;Yuxin Huang

525
Citations
GPT-GNN: Generative Pre-Training of Graph Neural Networks

Ziniu Hu;Yuxiao Dong;Kuansan Wang;Kai-Wei Chang

478
Citations
Large Linear Classification When Data Cannot Fit in Memory

Hsiang-Fu Yu;Cho-Jui Hsieh;Kai-Wei Chang;Chih-Jen Lin

428
Citations
The Woman Worked as a Babysitter: On Biases in Language Generation

Emily Sheng;Kai-Wei Chang;Premkumar Natarajan;Nanyun Peng

420
Citations
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations

Tianlu Wang;Jieyu Zhao;Mark Yatskar;Kai-Wei Chang

412
Citations
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

Unknown

408
Citations
Learning Gender-Neutral Word Embeddings

Jieyu Zhao;Yichao Zhou;Zeyu Li;Wei Wang

388
Citations
A Transformer-based Approach for Source Code Summarization

Wasi Uddin Ahmad;Saikat Chakraborty;Baishakhi Ray;Kai-Wei Chang

383
Citations
Gender Bias in Contextualized Word Embeddings

Jieyu Zhao;Tianlu Wang;Mark Yatskar;Ryan Cotterell

379
Citations
Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.

Muhao Chen;Chelsea J T Ju;Guangyu Zhou;Xuelu Chen

366
Citations
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines

Kai-Wei Chang;Cho-Jui Hsieh;Chih-Jen Lin

326
Citations
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification

Guo-Xun Yuan;Kai-Wei Chang;Cho-Jui Hsieh;Chih-Jen Lin

286
Citations
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Jwala Dhamala;Tony Sun;Varun Kumar;Satyapriya Krishna

97
Citations

Frequent Co-Authors

Cho-Jui Hsieh University of California, Los Angeles

Nanyun Peng University of California, Los Angeles

Dan Roth University of Pennsylvania

Chih-Jen Lin National Taiwan University

Wei Wang University of California, Los Angeles

Yizhou Sun University of California, Los Angeles

Adam Tauman Kalai Microsoft (United States)

Carlo Zaniolo University of California, Los Angeles

Venkatesh Saligrama Boston University

Huan Zhang University of California, Los Angeles

External Links

Personal website of Kai-Wei Chang Google Scholar page

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