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Junhao Gan
Junhao Gan
Lecturer, School of Computing and Information Systems, The University of Melbourne
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
DBSCAN revisited: Mis-claim, un-fixability, and approximation
J Gan, Y Tao
Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015
2322015
Locality-sensitive hashing scheme based on dynamic collision counting
J Gan, J Feng, Q Fang, W Ng
Proceedings of the 2012 ACM SIGMOD international conference on management of …, 2012
2052012
On the hardness and approximation of Euclidean DBSCAN
J Gan, Y Tao
ACM Transactions on Database Systems (TODS) 42 (3), 1-45, 2017
372017
Dynamic density based clustering
J Gan, Y Tao
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
302017
Personalized pagerank to a target node, revisited
H Wang, Z Wei, J Gan, S Wang, Z Huang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
102020
Unifying the global and local approaches: an efficient power iteration with forward push
H Wu, J Gan, Z Wei, R Zhang
Proceedings of the 2021 International Conference on Management of Data, 1996 …, 2021
72021
Fast Euclidean optics with bounded precision in low dimensional space
J Gan, Y Tao
Proceedings of the 2018 international conference on management of data, 1067 …, 2018
72018
Neural graph matching based collaborative filtering
Y Su, R Zhang, S M. Erfani, J Gan
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
62021
Range thresholding on streams
M Qiao, J Gan, Y Tao
Proceedings of the 2016 International Conference on Management of Data, 571-582, 2016
52016
Dynamic structural clustering on graphs
B Ruan, J Gan, H Wu, A Wirth
Proceedings of the 2021 International Conference on Management of Data, 1491 …, 2021
32021
Graph Clustering in All Parameter Regimes
J Gan, DF Gleich, N Veldt, A Wirth, X Zhang
arXiv preprint arXiv:1910.06435, 2019
32019
Incremental preference adjustment: a graph-theoretical approach
L Song, J Gan, Z Bao, B Ruan, HV Jagadish, T Sellis
The VLDB Journal 29 (6), 1475-1500, 2020
22020
Result-sensitive binary search with noisy information
NS Epa, J Gan, A Wirth
30th International Symposium on Algorithms and Computation (ISAAC 2019), 2019
22019
Learning Based Distributed Tracking
H Wu, J Gan, R Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
12020
An I/O-Efficient Algorithm for Computing Vertex Separators on Multi-Dimensional Grid Graphs and Its Applications.
J Gan, Y Tao
J. Graph Algorithms Appl. 22 (2), 297-327, 2018
12018
Approximate Range Thresholding
Z Zhang, J Gan, Z Bao, SMH Kazemi, G Chen, F Zhu
Proceedings of the 2022 International Conference on Management of Data, 1108 …, 2022
2022
Edge-based Local Push for Personalized PageRank
H Wang, Z Wei, J Gan, Y Yuan, X Du, JR Wen
arXiv preprint arXiv:2203.07937, 2022
2022
An Almost Optimal Algorithm for Unbounded Search with Noisy Information
J Gan, A Wirth, X Zhang
18th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2022), 2022
2022
High Performance Density-based Clustering on Massive Data
J Gan
2017
Approximate Range Thresholding Technical Report
Z Zhang, J Gan, Z Bao, SM Hussein, G Chen, F Zhu
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