| Predicting winning price in real time bidding with censored data WCH Wu, MY Yeh, MS Chen Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 115 | 2015 |
| Deep censored learning of the winning price in the real time bidding W Wu, MY Yeh, MS Chen Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 45 | 2018 |
| On shortest unique substring queries J Pei, WCH Wu, MY Yeh 2013 IEEE 29th International Conference on Data Engineering (ICDE), 937-948, 2013 | 39 | 2013 |
| Combining powers of two predictors in optimizing real-time bidding strategy under constrained budget CC Lin, KT Chuang, WCH Wu, MS Chen Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 24 | 2016 |
| digest: Create compact hash digests of R objects D Eddelbuettel, A Lucas, J Tuszynski, H Bengtsson, S Urbanek, M Frasca, ... R package version 0.6 27, 2018 | 14 | 2018 |
| RcppCNPy: Read-Write Support for NumPy Files in R. D Eddelbuettel, W Wu J. Open Source Softw. 1 (5), 55, 2016 | 8 | 2016 |
| Random error reduction in similarity search on time series: A statistical approach WCH Wu, MY Yeh, J Pei 2012 IEEE 28th International Conference on Data Engineering, 858-869, 2012 | 8 | 2012 |
| Budget-constrained real-time bidding optimization: Multiple predictors make it better CC Lin, KT Chuang, WCH Wu, MS Chen ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (2), 1-27, 2020 | 6 | 2020 |
| FeatureHashing: Creates a model matrix via feature hashing with a formula interface W Wu, M Benesty R package version 0.9, 2016 | 5 | 2016 |
| Package ‘digest’ D Eddelbuettel, A Lucas, J Tuszynski, H Bengtsson, S Urbanek, M Frasca, ... | 1 | 2024 |
| Package ‘FeatureHashing’ W Wu, M Benesty | | 2024 |
| 在即時競標中使用設限資料預測可獲勝的價格 吳齊軒 | | 2019 |
| 在即時競標中使用設限資料預測可獲勝的價格 WCH Wu 國立臺灣大學電機工程學系學位論文 2019, 1-48, 2019 | | 2019 |
| Package ‘RcppCNPy’ D Eddelbuettel, W Wu, MD Eddelbuettel | | 2018 |
| RcppCNPy: Reading and writing NumPy binary files D Eddelbuettela, W Wub | | |
