Kuan-Hao Huang

75 papers A* 4A 2B 2Journal 41Unranked 25
YearRankTypeTitle / Venue / Authors
2026 — conf
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors.
EACL (Volume 1: Long Papers)
Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Chieh-Yen Lin, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
2026 J jnl
Language Steering for Multilingual In-Context Learning.
CoRR
Neeraja Kirtane, Kuan-Hao Huang
2026 J jnl
Steering Vector Fields for Context-Aware Inference-Time Control in Large Language Models.
CoRR
Jiaqian Li, Yanshu Li, Kuan-Hao Huang
2026 — conf
What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning.
EACL (Volume 1: Long Papers)
Zhaotian Weng, Haoxuan Li, Xin Eric Wang, Kuan-Hao Huang, Jieyu Zhao
2025 J jnl
Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors.
CoRR
Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
2025 A* conf
Contrastive Visual Data Augmentation.
ICML
Yu Zhou, Bingxuan Li, Mohan Tang, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng
2025 J jnl
Contrastive Visual Data Augmentation.
CoRR
Yu Zhou, Bingxuan Li, Mohan Tang, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng
2025 A* conf
Eliminating Position Bias of Language Models: A Mechanistic Approach.
ICLR
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2025 J jnl
Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance.
CoRR
Taeyoon Kwon, Dongwook Choi, Sunghwan Kim, Hyojun Kim, Seungjun Moon, Beong-woo Kwak, Kuan-Hao Huang, Jinyoung Yeo
2025 J jnl
PEPPER: Perception-Guided Perturbation for Robust Backdoor Defense in Text-to-Image Diffusion Models.
CoRR
Oscar Chew, Po-Yi Lu, Jayden Lin, Kuan-Hao Huang, Hsuan-Tien Lin
2025 J jnl
SHA256 at SemEval-2025 Task 4: Selective Amnesia - Constrained Unlearning for Large Language Models via Knowledge Isolation.
CoRR
Saransh Agrawal, Kuan-Hao Huang
2025 J jnl
Visually Descriptive Language Model for Vector Graphics Reasoning.
Trans. Mach. Learn. Res.
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
2025 J jnl
What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning.
CoRR
Zhaotian Weng, Haoxuan Li, Kuan-Hao Huang, Jieyu Zhao
2024 J jnl
ARMADA: Attribute-Based Multimodal Data Augmentation.
CoRR
Xiaomeng Jin, Jeonghwan Kim, Yu Zhou, Kuan-Hao Huang, Te-Lin Wu, Nanyun Peng, Heng Ji
2024 — conf
Contextual Label Projection for Cross-Lingual Structured Prediction.
NAACL-HLT
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
2024 J jnl
Eliminating Position Bias of Language Models: A Mechanistic Approach.
CoRR
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2024 — conf
Event Detection from Social Media for Epidemic Prediction.
NAACL-HLT
Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
2024 J jnl
Event Detection from Social Media for Epidemic Prediction.
CoRR
Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
2024 J jnl
FARM: Functional Group-Aware Representations for Small Molecules.
CoRR
Thao Nguyen, Kuan-Hao Huang, Ge Liu, Martin D. Burke, Ying Diao, Heng Ji
2024 A* conf
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System.
ACM Multimedia
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 B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji
2024 J jnl
Text-Based Reasoning About Vector Graphics.
CoRR
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
2024 — conf
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction.
ACL (Findings)
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
2024 — conf
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis.
EACL (Findings)
Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang
2023 J jnl
A Reevaluation of Event Extraction: Past, Present, and Future Challenges.
CoRR
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
2023 — conf
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model.
ACL (1)
I-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan, Nanyun Peng
2023 J jnl
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model.
CoRR
I-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan, Nanyun Peng
2023 — —
Building Reliable and Robust Natural Language Processing Models: Enhancing Understanding of Semantically Equivalent Texts
Kuan-Hao Huang
2023 J jnl
Contextual Label Projection for Cross-Lingual Structure Extraction.
CoRR
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
2023 — conf
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles.
ACL (1)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
2023 — conf
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix.
EMNLP (Findings)
Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott
2023 J jnl
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes.
CoRR
Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott
2023 — conf
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation.
ACL (Findings)
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
2023 J jnl
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation.
CoRR
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
2023 — conf
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.
ACL (1)
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
2023 J jnl
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.
CoRR
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
2023 — conf
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.
IJCNLP (2)
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
2023 J jnl
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.
CoRR
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
2023 — conf
TAGPRIME: A Unified Framework for Relational Structure Extraction.
ACL (1)
I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
2023 J jnl
Understanding and Mitigating Spurious Correlations in Text Classification.
CoRR
Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin
2022 J jnl
A Comparative Survey of Deep Active Learning.
CoRR
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
2022 J jnl
A Simple and Unified Tagging Model with Priming for Relational Structure Predictions.
CoRR
I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
2022 — conf
DEGREE: A Data-Efficient Generation-Based Event Extraction Model.
NAACL-HLT
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
2022 J jnl
GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types.
CoRR
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
2022 — conf
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.
ACL (1)
Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
2022 J jnl
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.
CoRR
Kuan-Hao Huang, I-Hung Hsu, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
2022 — conf
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.
EMNLP (Findings)
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
2022 J jnl
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.
CoRR
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
2021 J jnl
DeepAL: Deep Active Learning in Python.
CoRR
Kuan-Hao Huang
2021 — conf
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models.
NAACL-HLT
James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
2021 J jnl
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models.
CoRR
James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
2021 J jnl
Event Extraction as Natural Language Generation.
CoRR
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
2021 A conf
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs.
EACL
Kuan-Hao Huang, Kai-Wei Chang
2021 J jnl
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs.
CoRR
Kuan-Hao Huang, Kai-Wei Chang
2021 — conf
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training.
EMNLP (1)
Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
2021 J jnl
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training.
CoRR
Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
2020 — conf
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization.
AACL/IJCNLP
Kuan-Hao Huang, Chen Li, Kai-Wei Chang
2020 B conf
JECL: Joint Embedding and Cluster Learning for Image-Text Pairs.
ICPR
Sean T. Yang, Kuan-Hao Huang, Bill Howe
2019 J jnl
Dynamic principal projection for cost-sensitive online multi-label classification.
Mach. Learn.
Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin
2019 — conf
Examining Gender Bias in Languages with Grammatical Gender.
EMNLP/IJCNLP (1)
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
2019 J jnl
Examining Gender Bias in Languages with Grammatical Gender.
CoRR
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
2019 J jnl
MultiDEC: Multi-Modal Clustering of Image-Caption Pairs.
CoRR
Sean T. Yang, Kuan-Hao Huang, Bill Howe
2018 — conf
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.
PAKDD (1)
Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
2017 J jnl
Cost-sensitive label embedding for multi-label classification.
Mach. Learn.
Kuan-Hao Huang, Hsuan-Tien Lin
2017 J jnl
Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification.
CoRR
Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin
2016 A* conf
A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning.
ICDM
Kuan-Hao Huang, Hsuan-Tien Lin
2016 J jnl
Cost-sensitive Label Embedding for Multi-label Classification.
CoRR
Kuan-Hao Huang, Hsuan-Tien Lin
2016 — conf
Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards.
PAKDD (2)
Kuan-Hao Huang, Hsuan-Tien Lin
2015 J jnl
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.
J. Mach. Learn. Res.
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
2015 J jnl
Undergraduate Students Compete in the IEEE Signal Processing Cup: Part 2 [sp Education].
IEEE Signal Process. Mag.
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
2014 J jnl
Effective string processing and matching for author disambiguation.
J. Mach. Learn. Res.
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
2013 — conf
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013.
KDD Cup
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
2013 — conf
Effective string processing and matching for author disambiguation.
KDD Cup
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
2005 B conf
The Hard SCORM LMS: Reading SCORM Courseware on Hardcopy Textbooks.
ICALT
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
2004 — conf
A Cognition Assessment Authoring System for E-Learning.
ICDCS Workshops
Jason C. Hung, L. J. Lin, Wen-Chih Chang, Timothy K. Shih, Hui-Huang Hsu, Han-Bin Chang, Hsuan-Pu Chang, Kuan-Hao Huang
2004 A conf
Adaptive pocket SCORM reader.
ICME
Timothy K. Shih, Nigel H. Lin, Hsuan-Pu Chang, Kuan-Hao Huang