Zeyi Wen

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Bingsheng He, 何丙胜Dean's Chair Associate Professor, Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Rui Zhanghttps://ruizhang.info/Verified email at sz.tsinghua.edu.cn
Qinbin LiSchool of Computing, National University of SingaporeVerified email at comp.nus.edu.sg
Jiashuai ShiSouth China University of TechnologyVerified email at mail.scut.edu.cn
Jianzhong QiSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Zhen HeAssociate Professor, La Trobe UniversityVerified email at latrobe.edu.au
Jin HuangGoogleVerified email at google.com
Kerry TaylorProfessor of Computer Science, Australian National UniversityVerified email at acm.org
Sixu HuGraduate Student, National University of SingaporeVerified email at u.nus.edu
Hongzhi Wang (王宏志)Harbin Intitute of TechnologyVerified email at hit.edu.cn
Naibo WangInstitute of Data Science, National University of SingaporeVerified email at u.nus.edu
Xu LiuNational University of SingaporeVerified email at u.nus.edu
Yuan Li, 李远National University of SingaporeVerified email at u.nus.edu
Chen YawenSouth China University of TechnologyVerified email at mail.scut.edu.cn
Andy Yuan Xue (薛原)Verified email at unimelb.edu.au
Shengliang LuNational University of SingaporeVerified email at nus.edu.sg
Dong DengRutgers UniversityVerified email at rutgers.edu
Zhenghua Xu (许铮铧)Hebei University of Technology, China & University of Oxford, UKVerified email at cs.ox.ac.uk
Bin LiSouth China University of TechnologyVerified email at mail.scut.edu.cn
Zeke WangZhejiang UniversityVerified email at zju.edu.cn

Zeyi Wen

Lecturer at University of Western Australia

Verified email at uwa.edu.au - Homepage

Machine Learning Systems High-Performance Computing Data Mining


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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 IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019	162*	2019
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	128	2018
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	65	2011
Practical Federated Gradient Boosting Decision Trees Q Li, Z Wen, B He AAAI Conference on Artificial Intelligence (AAAI), 2020	54	2020
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	33	2018
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	24	2019
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	24	2015
Privacy-Preserving Gradient Boosting Decision Trees Q Li, Z Wu, Z Wen, B He AAAI Conference on Artificial Intelligence (AAAI), 2020	23	2020
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	23	2015
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	21	2014
Efficient subgraph matching using gpus X Lin, R Zhang, Z Wen, H Wang, J Qi Australasian Database Conference, 74-85, 2014	14	2014
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	12	2020
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	10	2017
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	10	2014
Scalable and fast SVM regression using modern hardware Z Wen, R Zhang, K Ramamohanarao, L Yang World Wide Web 21 (2), 261-287, 2018	9	2018
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	9	2015
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	9	2011
Efficient Multi-Class Probabilistic SVMs on GPUs Z Wen, J Shi, B He, J Chen, Y Chen IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018	8	2018
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	8	2018

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