Kuan-Hao Huang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 50

Top Topics

Active Learning

Text Classification

Graduate Students

Event Extraction

Top Venues

Publications

Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
Event Detection from Social Media for Epidemic Prediction. CoRR (2024)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
Contextual Label Projection for Cross-Lingual Structured Prediction. NAACL-HLT (2024)
Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis. EACL (Findings) (2024)
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
Text-Based Reasoning About Vector Graphics. CoRR (2024)
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction. ACL (Findings) (2024)
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
Eliminating Position Bias of Language Models: A Mechanistic Approach. CoRR (2024)
Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
Event Detection from Social Media for Epidemic Prediction. NAACL-HLT (2024)
I-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan, Nanyun Peng
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model. CoRR (2023)
I-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan, Nanyun Peng
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model. ACL (1) (2023)
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. IJCNLP (2) (2023)
I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
TAGPRIME: A Unified Framework for Relational Structure Extraction. ACL (1) (2023)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles. ACL (1) (2023)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
Contextual Label Projection for Cross-Lingual Structure Extraction. CoRR (2023)
Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix. EMNLP (Findings) (2023)
Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes. CoRR (2023)
Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin
Understanding and Mitigating Spurious Correlations in Text Classification. CoRR (2023)
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. ACL (Findings) (2023)
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
A Reevaluation of Event Extraction: Past, Present, and Future Challenges. CoRR (2023)
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. CoRR (2023)
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. CoRR (2023)
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. CoRR (2023)
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. ACL (1) (2023)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types. CoRR (2022)
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. EMNLP (Findings) (2022)
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. CoRR (2022)
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
A Comparative Survey of Deep Active Learning. CoRR (2022)
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
DEGREE: A Data-Efficient Generation-Based Event Extraction Model. NAACL-HLT (2022)
Kuan-Hao Huang, I-Hung Hsu, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction. CoRR (2022)
Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction. ACL (1) (2022)
I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
A Simple and Unified Tagging Model with Priming for Relational Structure Predictions. CoRR (2022)
Kuan-Hao Huang, Kai-Wei Chang
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. CoRR (2021)
Kuan-Hao Huang, Kai-Wei Chang
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. EACL (2021)
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
Event Extraction as Natural Language Generation. CoRR (2021)
Kuan-Hao Huang
DeepAL: Deep Active Learning in Python. CoRR (2021)
James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. NAACL-HLT (2021)
James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. CoRR (2021)
Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. CoRR (2021)
Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. EMNLP (1) (2021)
Kuan-Hao Huang, Chen Li, Kai-Wei Chang
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization. AACL/IJCNLP (2020)
Sean T. Yang, Kuan-Hao Huang, Bill Howe
JECL: Joint Embedding and Cluster Learning for Image-Text Pairs. ICPR (2020)
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
Examining Gender Bias in Languages with Grammatical Gender. CoRR (2019)
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
Examining Gender Bias in Languages with Grammatical Gender. EMNLP/IJCNLP (1) (2019)
Sean T. Yang, Kuan-Hao Huang, Bill Howe
MultiDEC: Multi-Modal Clustering of Image-Caption Pairs. CoRR (2019)
Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin
Dynamic principal projection for cost-sensitive online multi-label classification. Mach. Learn. 108 (8-9) (2019)
Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. PAKDD (1) (2018)
Kuan-Hao Huang, Hsuan-Tien Lin
Cost-sensitive label embedding for multi-label classification. Mach. Learn. 106 (9-10) (2017)
Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification. CoRR (2017)
Kuan-Hao Huang, Hsuan-Tien Lin
A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning. ICDM (2016)
Kuan-Hao Huang, Hsuan-Tien Lin
Cost-sensitive Label Embedding for Multi-label Classification. CoRR (2016)
Kuan-Hao Huang, Hsuan-Tien Lin
Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards. PAKDD (2) (2016)
Carlos Oscar Sánchez Sorzano, Anik Khan, Forsad Al Hossain, Tawab Ullash, Abu Raihan, Mohammed Ariful Haque, Kai-Wen Liang, Yen-Chen Wu, Guan-Lin Chao, Kuan-Hao Huang, Shao-Hua Sun, Ming-Jen Yang, Po-Wen Hsiao, Ti-Fen Pan, Yi-Ching Chiu, Wei-Chih Tu, Shao-Yi Chien, Emroz Khan, Shiekh Zia Uddin, Mukhlasur Rhaman Tanvir, Md. Kamrul Hasan, Jesús Cuenca Alba
Undergraduate Students Compete in the IEEE Signal Processing Cup: Part 2 [sp Education]. IEEE Signal Process. Mag. 32 (5) (2015)
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
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013. J. Mach. Learn. Res. 16 (2015)
Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, 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
Effective string processing and matching for author disambiguation. J. Mach. Learn. Res. 15 (1) (2014)
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
Effective string processing and matching for author disambiguation. 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
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013. KDD Cup (2013)
Timothy K. Shih, Nigel H. Lin, Wen-Chih Chang, Te-Hua Wang, Hsiau Wen Lin, Hsuan-Pu Chang, Kuan-Hao Huang, Yun-Long Sie, Mon-Ting Tzou, Jin-Tan Yang
The Hard SCORM LMS: Reading SCORM Courseware on Hardcopy Textbooks. ICALT (2005)
Timothy K. Shih, Nigel H. Lin, Hsuan-Pu Chang, Kuan-Hao Huang
Adaptive pocket SCORM reader. ICME (2004)
Jason C. Hung, L. J. Lin, Wen-Chih Chang, Timothy K. Shih, Hui-Huang Hsu, Han-Bin Chang, Hsuan-Pu Chang, Kuan-Hao Huang
A Cognition Assessment Authoring System for E-Learning. ICDCS Workshops (2004)