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 (ICDCS Workshops, 2004)

Adaptive pocket SCORM reader. - Timothy K. Shih; Nigel H. Lin; Hsuan-Pu Chang; Kuan-Hao Huang (ICME, 2004)

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 (ICALT, 2005)

Effective string processing and matching for author disambiguation. - Wei-Sheng Chin; Yong Zhuang; Yu-Chin Juan; Felix Wu; Hsiao-Yu Tung; Tong Yu 001; Jui-Pin Wang; Cheng-Xia Chang; Chun-Pai Yang; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; et al. (J. Mach. Learn. Res., 2014)

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; et al. (J. Mach. Learn. Res., 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; et al. (IEEE Signal Process. Mag., 2015)

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 (2), 2016)

Cost-sensitive label embedding for multi-label classification. - Kuan-Hao Huang; Hsuan-Tien Lin (Mach. Learn., 2017)

Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. - Yao-Yuan Yang; Kuan-Hao Huang; Chih-Wei Chang; Hsuan-Tien Lin (PAKDD (1), 2018)

Examining Gender Bias in Languages with Grammatical Gender. - Pei Zhou; Weijia Shi; Jieyu Zhao 001; Kuan-Hao Huang; Muhao Chen 001; Ryan Cotterell; Kai-Wei Chang (EMNLP/IJCNLP (1), 2019)

MultiDEC: Multi-Modal Clustering of Image-Caption Pairs. - Sean T. Yang; Kuan-Hao Huang; Bill Howe (CoRR, 2019)

Dynamic principal projection for cost-sensitive online multi-label classification. - Hong-Min Chu; Kuan-Hao Huang; Hsuan-Tien Lin (Mach. Learn., 2019)

JECL: Joint Embedding and Cluster Learning for Image-Text Pairs. - Sean T. Yang; Kuan-Hao Huang; Bill Howe (ICPR, 2020)

Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization. - Kuan-Hao Huang; Chen Li; Kai-Wei Chang (AACL/IJCNLP, 2020)

Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. - Kuan-Hao Huang; Kai-Wei Chang (EACL, 2021)

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. - Kuan-Hao Huang; Wasi Uddin Ahmad; Nanyun Peng 001; Kai-Wei Chang (EMNLP (1), 2021)

Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. - James Y. Huang; Kuan-Hao Huang; Kai-Wei Chang (NAACL-HLT, 2021)

Event Extraction as Natural Language Generation. - I-Hung Hsu; Kuan-Hao Huang; Elizabeth Boschee; Scott Miller; Prem Natarajan; Kai-Wei Chang; Nanyun Peng 001 (CoRR, 2021)

DeepAL: Deep Active Learning in Python. - Kuan-Hao Huang (CoRR, 2021)

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 001 (ACL (1), 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; Prem Natarajan; Kai-Wei Chang; Nanyun Peng 001 (NAACL-HLT, 2022)

A Comparative Survey of Deep Active Learning. - Xueying Zhan; Qingzhong Wang; Kuan-Hao Huang; Haoyi Xiong; Dejing Dou; Antoni B. Chan (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 001 (CoRR, 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 001 (CoRR, 2022)

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 001 (ACL (1), 2023)

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model. - I-Hung Hsu; Zhiyu Xie 001; Kuan-Hao Huang; Prem Natarajan; Nanyun Peng 001 (ACL (1), 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 (1), 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 001 (ACL (1), 2023)

PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. - Yixin Wan; Kuan-Hao Huang; Kai-Wei Chang (ACL (Findings), 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 (EMNLP (Findings), 2023)

Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. - Fei Wang 060; Kuan-Hao Huang; Kai-Wei Chang; Muhao Chen 001 (IJCNLP (2), 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)

Understanding and Mitigating Spurious Correlations in Text Classification. - Oscar Chew; Kuan-Hao Huang; Kai-Wei Chang; Hsuan-Tien Lin (CoRR, 2023)

Contextual Label Projection for Cross-Lingual Structure Extraction. - Tanmay Parekh; I-Hung Hsu; Kuan-Hao Huang; Kai-Wei Chang; Nanyun Peng 001 (CoRR, 2023)

A Reevaluation of Event Extraction: Past, Present, and Future Challenges. - Kuan-Hao Huang; I-Hung Hsu; Tanmay Parekh; Zhiyu Xie 001; Zixuan Zhang; Premkumar Natarajan; Kai-Wei Chang; Nanyun Peng 001; Heng Ji 001 (CoRR, 2023)

Building Reliable and Robust Natural Language Processing Models: Enhancing Understanding of Semantically Equivalent Texts - Kuan-Hao Huang (2023)

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction. - Kuan-Hao Huang; I-Hung Hsu; Tanmay Parekh; Zhiyu Xie 001; Zixuan Zhang; Prem Natarajan; Kai-Wei Chang; Nanyun Peng 001; Heng Ji 001 (ACL (Findings), 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 006; Jiateng Liu; Kuan-Hao Huang; Mankeerat Sidhu; Xuanming Zhang; et al. (ACM Multimedia, 2024)

Contextual Label Projection for Cross-Lingual Structured Prediction. - Tanmay Parekh; I-Hung Hsu; Kuan-Hao Huang; Kai-Wei Chang; Nanyun Peng 001 (NAACL-HLT, 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 010; Nanyun Peng 001; Kai-Wei Chang (NAACL-HLT, 2024)

Text-Based Reasoning About Vector Graphics. - Zhenhailong Wang; Joy Hsu; Xingyao Wang 002; Kuan-Hao Huang; Manling Li; Jiajun Wu 001; Heng Ji 001 (CoRR, 2024)

ARMADA: Attribute-Based Multimodal Data Augmentation. - Xiaomeng Jin; Jeonghwan Kim; Yu Zhou 030; Kuan-Hao Huang; Te-Lin Wu; Nanyun Peng 001; Heng Ji 001 (CoRR, 2024)

FARM: Functional Group-Aware Representations for Small Molecules. - Thao Nguyen; Kuan-Hao Huang; Ge Liu; Martin D. Burke; Ying Diao; Heng Ji 001 (CoRR, 2024)

Eliminating Position Bias of Language Models: A Mechanistic Approach. - Ziqi Wang 003; Hanlin Zhang 002; Xiner Li; Kuan-Hao Huang; Chi Han; Shuiwang Ji; Sham M. Kakade; Hao Peng 009; Heng Ji 001 (ICLR, 2025)

Visually Descriptive Language Model for Vector Graphics Reasoning. - Zhenhailong Wang; Joy Hsu; Xingyao Wang 002; Kuan-Hao Huang; Manling Li; Jiajun Wu 001; Heng Ji 001 (Trans. Mach. Learn. Res., 2025)

Contrastive Visual Data Augmentation. - Yu Zhou 030; Bingxuan Li; Mohan Tang; Xiaomeng Jin; Te-Lin Wu; Kuan-Hao Huang; Heng Ji 001; Kai-Wei Chang; Nanyun Peng 001 (CoRR, 2025)

SHA256 at SemEval-2025 Task 4: Selective Amnesia - Constrained Unlearning for Large Language Models via Knowledge Isolation. - Saransh Agrawal; Kuan-Hao Huang (CoRR, 2025)

Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors. - Ren-Wei Liang; Chin-Ting Hsu; Chan-Hung Yu; Saransh Agrawal; Shih-Cheng Huang; Shang-Tse Chen; Kuan-Hao Huang; Shao-Hua Sun (CoRR, 2025)

Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance. - Taeyoon Kwon; Dongwook Choi; Sunghwan Kim; Hyojun Kim; Seungjun Moon; Beong-woo Kwak; Kuan-Hao Huang; Jinyoung Yeo (CoRR, 2025)

What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning. - Zhaotian Weng; Haoxuan Li; Kuan-Hao Huang; Jieyu Zhao 001 (CoRR, 2025)