Kai-Wei Chang

  • Associate Professor @ UCLA-CS
  • kw AT kwchang DOT net
  • UCLA Eng VI Rm 374
  • Natural Language Processing
    Machine Learning


  • Join us! Prospective students please read this.

Upcoming Travel

Recent News

Jan 2023

  • I was elected as a senior member at AAAI.

Nov 2022

  • Da Yin receives Amazon Fellowship! Congrats

Jun 2022

  • I will serve as an associate program chair for AAAI 2023
  • GLIP is on Best Paper Fanalist at CVPR 2023. Congrats Harold!

May 2022

  • I will serve as an area chair at EMNLP, NeurIPS, AACL 2023
  • Our alumna, Jieyu Zhao, will join USC as an assistant professor in Fall 2023. Congrats!

Feb 2022

  • Harold Li and Tao Meng receive Amazon Fellowship! Congrats
  • 7 papers (4 main, 3 finding) will be presented at ACL. Check out our new ACL 2022 papers.

Aug 2021

  • 5 long paper are accepted to EMNLP main and 2 papers are accepted to finding. Check out our new EMNLP 2021 papers.

Jul 2021

  • I will chair the Ethics Committee at NAACL 2022.
  • I taught a tutorial on Fairness in NLP at ML Summer School 2021.

May 2021

  • Honored to be awarded Google Research Scholar Award.
  • 5 long papers are accepted to ACL main and 2 papers are accepted to finding. Check out our new ACL 2021 papers. Details will be released soon.
  • check out our new ICML paper on constraint mining.

Mar 2021

  • 5 long papers and 2 short paeer are acepted to NAACL. Check out our new NAACL 21 papers.

Feb 2021

  • Honored to be awarded Sloan Research Fellowship for our work on fairness, robustness, inclusion in Human Language Technology. The award belongs to my students and collaborators.
  • Check out our new EACL 21 paper on paraphrase generation.

Jan 2021

  • I will co-teach a tutorial on Robustness and Adversarial Examples in NLP at EMNLP 2021
  • I co-organize an ICLR 2021 workshop on robust and reliable ML. See CFP.
  • I co-organize a NAACL 2021 workshop on Trustworthy NLP. See CFP
  • Welcome Sunipa Dev to join our group as a postdoctoral fellow.

Nov 2020

Sep 2020

  • Welcome Fan Yin and Wade Yin to join our group as a PhD student.

Apr 2020

Jan 2020

Dec 2019

  • Check out our ICLR paper on verifying Transformer. We also discuss how to identify words that are important to predictions.
  • Jieyu Zhao was invited to a panel discussion hosted by UN Woman on Increasing Women’s Participation in a Digital World.

Nov 2019

Oct 2019

  • We will give a tutorial on transferable representation learning at AAAI 2020
  • I’ll serve as an area chair for ICML 2020 and SPC for IJCAI.

Jul 2019

May 2019

Feb 2019

Dec 2018

  • I will be the area chair for NAACL 2019, AKBC 2019 and ACL 2019, AAAI 2020.

Oct 2018

  • I won the best reviewer award at EMNLP 2018

Sep 2018

  • Welcome Tao Meng and Kuan-Hao Huang to join my group!

Sep 2018

Jun 2018

  • I have been named a 2018 Okawa Foundation Research Grant recipient
  • Thank Taboola for providing a gift fund to support our research

Apr 2018

  • Rizwan’s paper on [modeling language with named entities] is accepted by ACL
  • Congrats Wasi Ahmad on his SIGIR paper and Muhao Chen on his IJCAI paper
  • Congrats Jieyu Zhao on winning the best poster award at SoCal NLP Symposium 2018
  • Check out our new NAACL paper on Gender Bias in Coreference Resolution
  • Check out our new NAACL paper on LearningWord Embeddings for Low-resource Languages by PU Learning

Jan 2018

  • I will give a tutorial on Quantifying and Reducing Gender Stereotypes in Word Embeddings at FAT 18
  • Check out our paper accepted by ICLR 2018
  • I give a tutorial at TAAI 17’

Jul 2017

  • Our paper on reducing gender bias won the best long paper award at EMNLP 17
  • Our paper on multi-sense embedding won the best paper award at Rep4NLP workshop at ACL 17.
  • I join the UCLA-CS. I’ve enjoyed every moment at UVa, where the department and my collaborators gave me enormous support to start my career. I’m excited about the next adventure and looking forward to collaborating with excellent folks in SoCal.

May 2017

  • Check out our workshop on Structured Prediction for NLP at EMNLP.
  • Check out our workshop on Deep Structured Prediction at ICML 2017

Mar 2017

  • My proposal, CRII: Learning Structured Prediction Models with Auxiliary Supervision has been funded by NSF
  • Congratulate Wasi Ahmad on being awarded the William L Ballard Jr. Fellowship for Spring of 2017.

Nov 2016

  • I will give an invited talk at NIPS 16 Workshop on Learning in High Dimensions with Structure and VW tutorial at Machine Learning System Workshop
  • Our paper is accepted by AAAI 17: Structured Prediction with Test-time Budget Constraints
  • Thanks all participants for a successful workshop. See you in the Second Workshop on Structured Prediction for NLP at EMNLP 2017 in Copenhagen!

Aug 2016

  • Our paper about debiasing word embeddings is reported by NPR and MIT Technology Review.
  • Two papers are accepted by NIPS! Credit assignment compiler for L2S; Debiasing word embeddings.
  • I join the Computer Science Department at University of Virginia as an Assistant Professor!
  • One paper is accepted by EMNLP: Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems

Feb 2016

  • Checkout our tutorial on Structured Prediction at AAAI16.

UCLA Natural Language Processing Group (see our members)

Selected Recent Papers

  1. DesCo: Learning Object Recognition with Rich Language Descriptions, Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, and Kai-Wei Chang, in NeurIPS, 2023. Details
  2. Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning, Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, and Kai-Wei Chang, in EMNLP, 2021. Details
  3. Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies, Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff Phillips, and Kai-Wei Chang, in EMNLP, 2021. Details
  4. An Integer Linear Programming Framework for Mining Constraints from Data, Tao Meng and Kai-Wei Chang, in ICML, 2021. Details
  5. Unified Pre-training for Program Understanding and Generation, Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang, in NAACL, 2021. Details
  6. VisualBERT: A Simple and Performant Baseline for Vision and Language, Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang, in Arxiv, 2019. Details
  7. Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing, Tao Meng, Nanyun Peng, and Kai-Wei Chang, in EMNLP, 2019. Details
  8. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints, Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang, in EMNLP, 2017. Details

About Me

Experience (CV)



  • Associate Program Chair: AAAI 23
  • Ethics Committee Chair: NAACL 22
  • Associate Editor: JAIR (23 -), ARR
  • Senior Area Chair: NAACL 21
  • Orgainzer: Workshop on Trustworthy NLP NAACL 21, 22, ACL 23
  • Orgainzer: Workshop on Deep Structured Prediction, ICML 17
  • Orgainzer: Workshop on Structured Prediction for NLP, EMNLP 16, 17
  • Area Chair: NAACL 18, 19, 22 EMNLP 19, 20, 22, 23 ACL 19, 20, 21, 22, 23 AAAI 20, 21, 22, ICML 23, Neurip 22, 23, ICLR 23.
  • Senior PC: AAAI 18, AAAI 19, ICML 20, IJCAI 20, 21.
  • Reviwer: NAACL/ACL/EMNLP/CoNLL (since 2013); EMNLP 2018 Best Reviewer. AAAI/ICML/NeurIPS (since 2013).
  • JAIR Editorial Board (19-22)
  • Handbook Chair, EMNLP 18 /div>