Zeyi Wen
Zeyi Wen
Lecturer of Computer Science, University of Western Australia
Verifierad e-postadress på uwa.edu.au - Startsida
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ThunderSVM: A fast SVM library on GPUs and CPUs
Z Wen, J Shi, Q Li, B He, J Chen
Journal of Machine Learning Research (JMLR) 19, 797-801, 2018
992018
Top- Most Influential Location Selection
J Huang, Z Wen, J Qi, R Zhang, J Chen, Z He
ACM International Conference on Information and Knowledge Management (CIKM), 2011
652011
Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.
Q Li, Z Wen, B He
502019
A survey on federated learning systems: vision, hype and reality for data privacy and protection
Q Li, Z Wen, Z Wu, S Hu, N Wang, Y Li, X Liu, B He
arXiv preprint arXiv:1907.09693, 2019
432019
Efficient Gradient Boosted Decision Tree Training on GPUs
Z Wen, B He, K Ramamohanarao, S Lu, J Shi
International Parallel and Distributed Processing Symposium (IPDPS), 234-243, 2018
302018
Practical Federated Gradient Boosting Decision Trees
Q Li, Z Wen, B He
AAAI Conference on Artificial Intelligence (AAAI), 2020
292020
Indexable online time series segmentation with error bound guarantee
J Qi, R Zhang, K Ramamohanarao, H Wang, Z Wen, D Wu
World Wide Web 18 (2), 359-401, 2015
242015
The safest path via safe zones
S Aljubayrin, J Qi, CS Jensen, R Zhang, Z He, Z Wen
2015 IEEE 31st International Conference on Data Engineering (ICDE), 531-542, 2015
202015
MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs
Z Wen, R Zhang, K Ramamohanarao, J Qi, K Taylor
IEEE International Conference on Data Mining (ICDM), 580-589, 2014
192014
Privacy-Preserving Gradient Boosting Decision Trees
Q Li, Z Wu, Z Wen, B He
AAAI Conference on Artificial Intelligence (AAAI), 2020
152020
Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training
Z Wen, J Shi, B He, J Chen, K Ramamohanarao, Q Li
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019
122019
Bingsheng He. A survey on federated learning systems: Vision, hype and reality for data privacy and protection
Q Li, Z Wen, Z Wu, S Hu, N Wang, Y Li, X Liu
arXiv preprint arXiv:1907.09693, 2019
122019
Efficient subgraph matching using gpus
X Lin, R Zhang, Z Wen, H Wang, J Qi
Australasian Database Conference, 74-85, 2014
122014
An Efficient Method for Min-dist Location Selection
J Qi, Z Xu, Y Xue, Z Wen
Australasian Database Conference, 2012
12*2012
Improving Efficiency of SVM -Fold Cross-Validation by Alpha Seeding.
Z Wen, B Li, K Ramamohanarao, J Chen, Y Chen, R Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2768-2774, 2017
92017
Analysis and evaluation of the top- most influential location selection query
J Chen, J Huang, Z Wen, Z He, K Taylor, R Zhang
Knowledge and Information Systems (KAIS) 43 (1), 181-217, 2015
92015
Enabling Precision/Recall Preferences for Semi-supervised SVM Training
Z Wen, R Zhang, K Ramamohanarao
ACM Conference on Information and Knowledge Management (CIKM), 421-430, 2014
92014
Ranking Locations for Facility Selection Based on Potential Influences
J Huang, Z Wen, M Pathan, K Taylor, R Zhang
the 37th Annual Conference of the IEEE Industrial Electronics Society, 2011
92011
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Z Wen, H Liu, J Shi, B He, Q Li, J Chen
Journal of Machine Learning Research (JMLR) 21 (108), 2020
82020
RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services
Z Wen, X Liu, H Cao, B He
IEEE International Conference on Data Engineering (ICDE), 1495-1506, 2018
82018
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Artiklar 1–20