Kuan-Hao Huang

According to our database, Kuan-Hao Huang authored at least 38 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis.

Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

A Reevaluation of Event Extraction: Past, Present, and Future Challenges.

Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji

CoRR, 2023

Contextual Label Projection for Cross-Lingual Structure Extraction.

Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng

CoRR, 2023

Understanding and Mitigating Spurious Correlations in Text Classification.

Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin

CoRR, 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

CoRR, 2023

Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.

Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix.

Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation.

Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model.

I-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan, Nanyun Peng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TAGPRIME: A Unified Framework for Relational Structure Extraction.

I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Simple and Unified Tagging Model with Priming for Relational Structure Predictions.

I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng

CoRR, 2022

GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types.

Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng

CoRR, 2022

A Comparative Survey of Deep Active Learning.

Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan

CoRR, 2022

DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.

Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.

Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

DeepAL: Deep Active Learning in Python.

Kuan-Hao Huang

CoRR, 2021

Event Extraction as Natural Language Generation.

I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

CoRR, 2021

Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models.

James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training.

Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs.

Kuan-Hao Huang, Kai-Wei Chang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization.

Kuan-Hao Huang, Chen Li, Kai-Wei Chang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

JECL: Joint Embedding and Cluster Learning for Image-Text Pairs.

Sean T. Yang, Kuan-Hao Huang, Bill Howe

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Dynamic principal projection for cost-sensitive online multi-label classification.

Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin

Mach. Learn., 2019

MultiDEC: Multi-Modal Clustering of Image-Caption Pairs.

Sean T. Yang, Kuan-Hao Huang, Bill Howe

CoRR, 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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.

Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Cost-sensitive label embedding for multi-label classification.

Kuan-Hao Huang, Hsuan-Tien Lin

Mach. Learn., 2017

2016

Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards.

Kuan-Hao Huang, Hsuan-Tien Lin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning.

Kuan-Hao Huang, Hsuan-Tien Lin

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Undergraduate Students Compete in the IEEE Signal Processing Cup: Part 2 [sp Education].

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

IEEE Signal Process. Mag., 2015

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

J. Mach. Learn. Res., 2015

2014

Effective string processing and matching for author disambiguation.

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

J. Mach. Learn. Res., 2014

2005

The Hard SCORM LMS: Reading SCORM Courseware on Hardcopy Textbooks.

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

Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

2004

Adaptive pocket SCORM reader.

Timothy K. Shih, Nigel H. Lin, Hsuan-Pu Chang, Kuan-Hao Huang

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

A Cognition Assessment Authoring System for E-Learning.

Jason C. Hung, L. J. Lin, Wen-Chih Chang, Timothy K. Shih, Hui-Huang Hsu, Han-Bin Chang, Hsuan-Pu Chang, Kuan-Hao Huang

Proceedings of the 24th International Conference on Distributed Computing Systems Workshops (ICDCS 2004 Workshops), 2004