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2020 – today
- 2021
[j3]Cheng Chen, Jun Yang, Mian Lu, Taize Wang, Zhao Zheng, Yuqiang Chen, Wenyuan Dai, Bingsheng He, Weng-Fai Wong
, Guoan Wu, Yuping Zhao, Andy Rudoff:
Optimizing An In-memory Database System For AI-powered On-line Decision Augmentation Using Persistent Memory. Proc. VLDB Endow. 14(5): 799-812 (2021)- 2020
- [c22]Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen:
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. ICDE 2020: 433-444 - [c21]Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Network On Network for Tabular Data Classification in Real-world Applications. SIGIR 2020: 2317-2326 - [p1]Xiawei Guo, Quanming Yao, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. Federated Learning 2020: 269-283 - [i5]Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Network On Network for Tabular Data Classification in Real-world Applications. CoRR abs/2005.10114 (2020)
2010 – 2019
- 2019
- [c20]Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai:
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. AAAI 2019: 3846-3853 - [c19]Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. IJCAI 2019: 4114-4120 - [c18]Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. KDD 2019: 1936-1945 - [i4]Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR abs/1903.05263 (2019) - [i3]Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen:
AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding. CoRR abs/1904.11682 (2019) - [i2]Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai:
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. CoRR abs/1904.12857 (2019) - 2018
- [i1]Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-preserving Transfer Learning for Knowledge Sharing. CoRR abs/1811.09491 (2018) - 2016
- [j2]Chen Luo, Jia Zeng, Mingxuan Yuan, Wenyuan Dai, Qiang Yang:
Telco User Activity Level Prediction with Massive Mobile Broadband Data. ACM Trans. Intell. Syst. Technol. 7(4): 63:1-63:30 (2016) - 2015
- [c17]Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai:
Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel. AAAI 2015: 439-445 - [c16]Xiuqiang He, Wenyuan Dai, Guoxiang Cao, Ruiming Tang, Mingxuan Yuan, Qiang Yang:
Mining target users for online marketing based on App Store data. IEEE BigData 2015: 1043-1052 - [c15]Yiqing Huang, Fangzhou Zhu, Mingxuan Yuan, Ke Deng, Yanhua Li, Bing Ni, Wenyuan Dai, Qiang Yang, Jia Zeng:
Telco Churn Prediction with Big Data. SIGMOD Conference 2015: 607-618 - 2014
- [j1]Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang:
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. Proc. VLDB Endow. 7(13): 1561-1564 (2014)
2000 – 2009
- 2009
- [c14]Qiang Yang, Yuqiang Chen, Gui-Rong Xue, Wenyuan Dai, Yong Yu:
Heterogeneous Transfer Learning for Image Clustering via the SocialWeb. ACL/IJCNLP 2009: 1-9 - [c13]Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, Yong Yu:
EigenTransfer: a unified framework for transfer learning. ICML 2009: 193-200 - 2008
- [c12]Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Yong Yu:
Knowledge Transferring Via Implicit Link Analysis. DASFAA 2008: 520-528 - [c11]Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu:
Self-taught clustering. ICML 2008: 200-207 - [c10]Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
Spectral domain-transfer learning. KDD 2008: 488-496 - [c9]Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, Yong Yu:
Translated Learning: Transfer Learning across Different Feature Spaces. NIPS 2008: 353-360 - [c8]Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu:
Topic-bridged PLSA for cross-domain text classification. SIGIR 2008: 627-634 - [c7]Xiao Ling, Gui-Rong Xue, Wenyuan Dai, Yun Jiang, Qiang Yang, Yong Yu:
Can chinese web pages be classified with english data source? WWW 2008: 969-978 - 2007
- [c6]Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
Transferring Naive Bayes Classifiers for Text Classification. AAAI 2007: 540-545 - [c5]Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu:
Boosting for transfer learning. ICML 2007: 193-200 - [c4]Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu:
Co-clustering based classification for out-of-domain documents. KDD 2007: 210-219 - [c3]Dikan Xing, Wenyuan Dai, Gui-Rong Xue, Yong Yu:
Bridged Refinement for Transfer Learning. PKDD 2007: 324-335 - [c2]Xin Zhang, Wenyuan Dai, Gui-Rong Xue, Yong Yu:
Adaptive Email Spam Filtering Based on Information Theory. WISE 2007: 159-170 - 2006
- [c1]Wenyuan Dai, Yong Yu, Congle Zhang, Jie Han, Gui-Rong Xue:
A Novel Web Page Categorization Algorithm Based on Block Propagation Using Query-Log Information. WAIM 2006: 435-446
Coauthor Index
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