Publications

2024

• Text-Based Reasoning About Vector Graphics
  Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
  arXiv preprint 2024
  arXiv | code | website
• Contextual Label Projection for Cross-Lingual Structure Prediction
  Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
  NAACL 2024
  arXiv | code
• Event Detection from Social Media for Epidemic Prediction
  Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
  NAACL 2024
  arXiv | code
• Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
  Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang
  EACL-Findings 2024
  arXiv | code

2023

• TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
  Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
  arXiv preprint 2023
  arXiv | code | website
• Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes
  Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott
  EMNLP-Findings 2023
  arXiv
• Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer
  Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
  AACL 2023
  arXiv | code
• ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
  Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
  ACL 2023 (Area Chair Award)
  arXiv | slides | poster
• TAGPRIME: A Unified Framework for Relational Structure Extraction
  I-Hung Hsu*, Kuan-Hao Huang*, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
  ACL 2023
  arXiv | code | slides | poster
• AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model
  I-Hung Hsu*, Zhiyu Xie*, Kuan-Hao Huang, Premkumar Natarajan, Nanyun Peng
  ACL 2023
  arXiv | code | poster
• GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles
  Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
  ACL 2023
  arXiv | data | poster
• PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation
  Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
  ACL-Findings 2023
  arXiv | code

2022

• Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations
  Kuan-Hao Huang*, Varun Iyer*, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
  EMNLP-Findings 2022
  arXiv
• DEGREE: A Data-Efficient Generation-Based Event Extraction Model
  I-Hung Hsu*, Kuan-Hao Huang*, Elizabeth Boschee, Scott Miller, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
  NAACL 2022
  arXiv | code
• Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
  Kuan-Hao Huang*, I-Hung Hsu*, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
  ACL 2022
  arXiv | code | slides | poster

2021

• Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
  Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
  EMNLP 2021
  arXiv | code | slides | poster
• Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models
  James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
  NAACL 2021
  arXiv | code
• Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
  Kuan-Hao Huang, Kai-Wei Chang
  EACL 2021
  arXiv | code | slides | poster

2020

• Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization
  Kuan-Hao Huang, Chen Li, Kai-Wei Chang
  AACL 2020
  data | slides
• JECL: Joint Embedding and Cluster Learning for Image-Text Pairs
  Sean T. Yang, Kuan-Hao Huang, Bill Howe
  ICPR 2020
  arXiv

2019

• Examining Gender Bias in Languages with Grammatical Gender
  Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
  EMNLP 2019
  arXiv | code
• Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification
  Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin
  Machine Learning (ECML PKDD Journal Track) 2019
  arXiv

Before 2019

• Cost-Sensitive Reference Pair Encoding for Multi-Label Learning
  Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
  PAKDD 2018
  arXiv | code
• Cost-Sensitive Label Embedding for Multi-Label Classification
  Kuan-Hao Huang, Hsuan-Tien Lin
  Machine Learning (ECML PKDD Journal Track) 2017
  arXiv | code | slides | poster
• A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning
  Kuan-Hao Huang, Hsuan-Tien Lin
  ICDM 2016
  code | slides
• Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards
  Kuan-Hao Huang, Hsuan-Tien Lin
  PAKDD 2016
  code | slides
• Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
  Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin
  Journal of Machine Learning Research 2015
  code
• Effective String Processing and Matching for Author Disambiguation
  Wei-Sheng Chin, Yu-Chin Juan, Yong Zhuang, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin
  Journal of Machine Learning Research 2014
  code