Kuan-Hao Huang
Kuan-Hao Huang
Ph.D. Student, UCLA
Verified email at cs.ucla.edu - Homepage
Cited by
Cited by
Cost-sensitive label embedding for multi-label classification
KH Huang, HT Lin
Machine Learning 106 (9), 1725-1746, 2017
Examining Gender Bias in Languages with Grammatical Gender
P Zhou, W Shi, J Zhao, KH Huang, M Chen, R Cotterell, KW Chang
EMNLP, 2019
Effective string processing and matching for author disambiguation
WS Chin, Y Zhuang, YC Juan, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ...
The Journal of Machine Learning Research 15 (1), 3037-3064, 2014
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013
CL Li, YC Su, TW Lin, CH Tsai, WC Chang, KH Huang, TM Kuo, SW Lin, ...
The Journal of Machine Learning Research 16 (1), 2921-2947, 2015
A novel uncertainty sampling algorithm for cost-sensitive multiclass active learning
KH Huang, HT Lin
ICDM, 2016
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
KH Huang, KW Chang
EACL, 2021
Dynamic principal projection for cost-sensitive online multi-label classification
HM Chu, KH Huang, HT Lin
Machine Learning 108 (8-9), 1193-1230, 2019
JECL: Joint Embedding and Cluster Learning for Image-Text Pairs
S Yang, KH Huang, B Howe
ICPR, 2020
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning
YY Yang, KH Huang, CW Chang, HT Lin
PAKDD, 2018
Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards
KH Huang, HT Lin
PAKDD, 2016
DEGREE: A Data-Efficient Generative Event Extraction Model
IH Hsu, KH Huang, E Boschee, S Miller, P Natarajan, KW Chang, N Peng
arXiv preprint arXiv:2108.12724, 2021
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models
JY Huang, KH Huang, KW Chang
NAACL, 2021
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization
KH Huang, C Li, KW Chang
AACL, 2020
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
KH Huang, WU Ahmad, N Peng, KW Chang
EMNLP, 2021
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