Publications
(* denotes equal contribution)
2025
2024
- Visually Descriptive Language Model for Vector Graphics Reasoning
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
arXiv preprint
| | - FARM: Functional Group-Aware Representations for Small Molecules
Thao Nguyen, Kuan-Hao Huang, Ge Liu, Martin D. Burke, Ying Diao, Heng Ji
arXiv preprint
| | - 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
ACL-Findings 2024
| | - Contextual Label Projection for Cross-Lingual Structure Prediction
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
NAACL 2024
| - 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
| - 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
| - MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System
Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji
ACMMM 2024 Technical Demos and Videos Program
- ARMADA: Attribute-Based Multimodal Data Augmentation
Xiaomeng Jin, Jeonghwan Kim, Yu Zhou, Kuan-Hao Huang, Te-Lin Wu, Nanyun Peng, Heng Ji
EMNLP 2024 Workshop on NLP for Wikipedia
2023
- 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
- Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
AACL 2023
| - 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)
| | | - 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
| | | - 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
| | - 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
| | - PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
ACL-Findings 2023
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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
- 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
| - 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
| | | - Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling
Fei Wang, Kuan-Hao Huang, Anoop Kumar, Aram Galstyan, Greg Ver steeg, Kai-Wei Chang
EMNLP 2022 Workshop on Massively Multilingual Natural Language Understanding
- A Comparative Survey of Deep Active Learning
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
NeurIPS 2022 Workshop on Human in the Loop Learning
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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
| - Cost-Sensitive Label Embedding for Multi-Label Classification
Kuan-Hao Huang, Hsuan-Tien Lin
Machine Learning (ECML PKDD Journal Track) 2017
| | | - A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning
Kuan-Hao Huang, Hsuan-Tien Lin
ICDM 2016
| - Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards
Kuan-Hao Huang, Hsuan-Tien Lin
PAKDD 2016
| - 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
- 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