Shou-De Lin
Cited by
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Metricgan: Generative adversarial networks based black-box metric scores optimization for speech enhancement
SW Fu, CF Liao, Y Tsao, SD Lin
International Conference on Machine Learning, 2031-2041, 2019
Designing the market game for a trading agent competition
MP Wellman, PR Wurman, K O'Malley, R Bangera, D Reeves, WE Walsh
IEEE Internet Computing 5 (2), 43-51, 2001
Feature engineering and classifier ensemble for KDD cup 2010
HF Yu, HY Lo, HP Hsieh, JK Lou, TG McKenzie, JW Chou, PH Chung, ...
KDD cup, 2010
Inferring air quality for station location recommendation based on urban big data
HP Hsieh, SD Lin, Y Zheng
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
Exploiting large-scale check-in data to recommend time-sensitive routes
HP Hsieh, CT Li, SD Lin
Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 55-62, 2012
Cost-sensitive multi-label learning for audio tag annotation and retrieval
HY Lo, JC Wang, HM Wang, SD Lin
IEEE Transactions on Multimedia 13 (3), 518-529, 2011
I, poet: automatic chinese poetry composition through a generative summarization framework under constrained optimization
R Yan, H Jiang, M Lapata, SD Lin, X Lv, X Li
IJCAI 2013, Proceedings of the 23rd International Joint Conference on …, 2013
Exploiting machine learning models for Chinese legal documents labeling, case classification, and sentencing prediction
WC Lin, TT Kuo, TJ Chang, CA Yen, CJ Chen, S Lin
Processdings of ROCLING 17 (4), 140, 2012
Unsupervised link discovery in multi-relational data via rarity analysis
H Chalupsky
Third IEEE International Conference on Data Mining, 171-178, 2003
A learning-based framework to handle multi-round multi-party influence maximization on social networks
SC Lin
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Matching users and items across domains to improve the recommendation quality
CY Li, SD Lin
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
A memory-network based solution for multivariate time-series forecasting
YY Chang, FY Sun, YH Wu, SD Lin
arXiv preprint arXiv:1809.02105, 2018
A low-cost ethics shaping approach for designing reinforcement learning agents
YH Wu, SD Lin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Prune: Preserving proximity and global ranking for network embedding
YA Lai, CC Hsu, WH Chen, MY Yeh, SD Lin
Advances in neural information processing systems 30, 2017
Unsupervised link prediction using aggregative statistics on heterogeneous social networks
TT Kuo, R Yan, YY Huang, PH Kung, SD Lin
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
A linear ensemble of individual and blended models for music rating prediction
PL Chen, CT Tsai, YN Chen, KC Chou, CL Li, CH Tsai, KW Wu, YC Chou, ...
Proceedings of KDD Cup 2011, 21-60, 2012
Sparse random feature algorithm as coordinate descent in hilbert space
IEH Yen, TW Lin, SD Lin, PK Ravikumar, IS Dhillon
Advances in Neural Information Processing Systems 27, 2014
A ranking-based KNN approach for multi-label classification
TH Chiang, HY Lo, SD Lin
Asian conference on machine learning, 81-96, 2012
On team formation with expertise query in collaborative social networks
CT Li, MK Shan, SD Lin
Knowledge and Information Systems 42, 441-463, 2015
Discovering and explaining abnormal nodes in semantic graphs
H Chalupsky
Knowledge and Data Engineering, IEEE Transactions on 20 (8), 1039-1052, 2008
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