Wei-Cheng Chang
Wei-Cheng Chang
Language Technologies Institute, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
TitleCited byYear
Mmd gan: Towards deeper understanding of moment matching network
CL Li, WC Chang, Y Cheng, Y Yang, B Póczos
Advances in Neural Information Processing Systems, 2203-2213, 2017
Deep learning for extreme multi-label text classification
J Liu, WC Chang, Y Wu, Y Yang
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
A revisit to support vector data description
WC Chang, CP Lee, CJ Lin
Dept. Comput. Sci., Nat. Taiwan Univ., Taipei, Taiwan, Tech. Rep, 2013
Modeling Long-and Short-Term Temporal Patterns with Deep Neural Networks
G Lai, WC Chang, Y Yang, H Liu
Proceedings of the 41st International ACM SIGIR Conference on Research …, 2018
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
Data-driven random Fourier features using Stein effect
WC Chang, CL Li, Y Yang, B Poczos
Proceedings of the 26th International Joint Conference on Artificial …, 2017
The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints
PW Wang, WC Chang, JZ Kolter
arXiv preprint arXiv:1706.00476, 2017
Cross-Domain Kernel Induction for Transfer Learning
WC Chang, Y Wu, H Liu, Y Yang
Thirty-first AAAI Conference on Artificial Intelligence, 1763-1769, 2017
Implicit Kernel Learning
CL Li, WC Chang, Y Mroueh, Y Yang, B Póczos
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Kernel Change-point Detection with Auxiliary Deep Generative Models
WC Chang, CL Li, Y Yang, B Póczos
International Conference on Learning Representations (ICLR), 2019
X-BERT: eXtreme Multi-label Text Classification with BERT
WC Chang, HF Yu, K Zhong, Y Yang, I Dhillon
arXiv preprint arXiv:1905.02331, 2019
SeCSeq: Semantic Coding for Sequence-to-Sequence based Extreme Multi-label Classification
WC Chang, HF Yu, IS Dhillon, Y Yang
Neural Information Processing Systems (NIPS) CDRNN Workshop, 2018
Contextual Encoding for Translation Quality Estimation
J Hu, WC Chang, Y Wu, G Neubig
Proceedings of the Third Conference on Machine Translation (WMT) 2, 788–793, 2018
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Articles 1–14