Zeyi Wen

Cited by

	All	Since 2016
Citations	460	404
h-index	11	10
i10-index	13	12

180

135

201120122013201420152016201720182019202020213 4 15 6 22 30 27 56 66 163 60

Public access

View all

7 articles

1 article

available

not available

Based on funding mandates

Co-authors

Rui Zhanghttps://ruizhang.info/Verified email at sz.tsinghua.edu.cn
Bingsheng He, 何丙胜Associate Professor, Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Qinbin LiSchool of Computing, National University of SingaporeVerified email at comp.nus.edu.sg
Jianzhong QiSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Jiashuai ShiSouth China University of TechnologyVerified email at mail.scut.edu.cn
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
Andy Yuan Xue (薛原)Autumn CompassVerified 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
Chen YawenSouth China University of TechnologyVerified email at mail.scut.edu.cn
Prof R KotagiriProfessor, Computing and Information Systems, The University of Melbourne 1980-2020Verified email at unimelb.edu.au

Zeyi Wen

Lecturer of Computer Science, University of Western Australia

Verified email at uwa.edu.au - Homepage

Machine Learning Systems High-Performance Computing Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	90	2018
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	70	2019
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	64	2011
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	28	2018
Practical Federated Gradient Boosting Decision Trees Q Li, Z Wen, B He AAAI Conference on Artificial Intelligence (AAAI), 2020	23	2020
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	23	2015
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	18	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	18	2014
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	12	2019
Efficient subgraph matching using gpus X Lin, R Zhang, Z Wen, H Wang, J Qi Australasian Database Conference, 74-85, 2014	12	2014
An Efficient Method for Min-dist Location Selection J Qi, Z Xu, Y Xue, Z Wen Australasian Database Conference, 2012	12*	2012
Privacy-Preserving Gradient Boosting Decision Trees Q Li, Z Wu, Z Wen, B He AAAI Conference on Artificial Intelligence (AAAI), 2020	11	2020
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
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 arXiv preprint arXiv:1907.09693, 2019	8	2019
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
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	8	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	8	2011
ThunderGBM: Fast GBDTs and Random Forests on GPUs Z Wen, J Shi, B He, Q Li, J Chen Journal of Machine Learning Research (JMLR) 21 (108), 2020	7	2020
Scalable and fast SVM regression using modern hardware Z Wen, R Zhang, K Ramamohanarao, L Yang World Wide Web 21 (2), 261-287, 2018	7	2018
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	7	2017

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors