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ORCIDJunhao Gan
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2024
[c19]Philip Cervenjak, Junhao Gan, Seeun William Umboh, Anthony Wirth:
Maximum Unique Coverage on Streams: Improved FPT Approximation Scheme and Tighter Space Lower Bound. APPROX/RANDOM 2024: 25:1-25:23- [c18]Hongjie Qiu
, Jinqiang Li, Junhao Gan, Shuwen Zheng, Liqi Yan:
DroneGPT: Zero-shot Video Question Answering For Drones. CVDL 2024: 49:1-49:6 - [c17]Zhuowei Zhao, Junhao Gan, Jianzhong Qi, Zhifeng Bao:
Efficient Example-Guided Interactive Graph Search. ICDE 2024: 342-354 - [i10]Philip Cervenjak, Junhao Gan, Seeun William Umboh, Anthony Wirth:
Maximum Unique Coverage on Streams: Improved FPT Approximation Scheme and Tighter Space Lower Bound. CoRR abs/2407.09368 (2024) - 2023
- [j6]Shixun Huang, Junhao Gan, Zhifeng Bao, Wenqing Lin:
Managing Conflicting Interests of Stakeholders in Influencer Marketing. Proc. ACM Manag. Data 1(1): 80:1-80:27 (2023) - [j5]Fangyuan Zhang, Dechuang Chen, Sibo Wang, Yin Yang, Junhao Gan:
Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks. Proc. ACM Manag. Data 1(4): 259:1-259:26 (2023) - [c16]Philip Cervenjak, Junhao Gan, Anthony Wirth:
Fast Parallel Algorithms for Submodular p-Superseparable Maximization. WAOA 2023: 219-233 - [i9]Philip Cervenjak, Junhao Gan, Anthony Wirth:
Fast Parallel Algorithms for Submodular p-Superseparable Maximization. CoRR abs/2311.13123 (2023) - 2022
- [j4]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. Proc. VLDB Endow. 15(7): 1376-1389 (2022) - [c15]Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang:
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. KDD 2022: 1676-1686 - [c14]Zhuo Zhang, Junhao Gan, Zhifeng Bao, Seyed Mohammad Hussein Kazemi, Guangyong Chen, Fengyuan Zhu:
Approximate Range Thresholding. SIGMOD Conference 2022: 1108-1121 - [c13]Junhao Gan, Anthony Wirth, Xin Zhang:
An Almost Optimal Algorithm for Unbounded Search with Noisy Information. SWAT 2022: 25:1-25:15 - [i8]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. CoRR abs/2203.07937 (2022) - [i7]Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang:
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. CoRR abs/2206.13764 (2022) - 2021
- [c12]Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. SIGIR 2021: 849-858 - [c11]Boyu Ruan, Junhao Gan, Hao Wu, Anthony Wirth:
Dynamic Structural Clustering on Graphs. SIGMOD Conference 2021: 1491-1503 - [c10]Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang:
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. SIGMOD Conference 2021: 1996-2008 - [i6]Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang:
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. CoRR abs/2101.03652 (2021) - [i5]Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. CoRR abs/2105.04067 (2021) - [i4]Boyu Ruan, Junhao Gan, Hao Wu, Anthony Wirth:
Dynamic Structural Clustering on Graphs. CoRR abs/2108.11549 (2021) - 2020
- [j3]Liangjun Song, Junhao Gan, Zhifeng Bao, Boyu Ruan, H. V. Jagadish, Timos Sellis:
Incremental preference adjustment: a graph-theoretical approach. VLDB J. 29(6): 1475-1500 (2020) - [c9]Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang:
Personalized PageRank to a Target Node, Revisited. KDD 2020: 657-667 - [c8]Hao Wu, Junhao Gan, Rui Zhang:
Learning Based Distributed Tracking. KDD 2020: 2040-2050 - [c7]Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang:
Graph Clustering in All Parameter Regimes. MFCS 2020: 39:1-39:15 - [i3]Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang:
Personalized PageRank to a Target Node, Revisited. CoRR abs/2006.11876 (2020) - [i2]Hao Wu, Junhao Gan, Rui Zhang:
Learning Based Distributed Tracking. CoRR abs/2006.12943 (2020)
2010 – 2019
- 2019
- [c6]Narthana S. Epa, Junhao Gan, Anthony Wirth:
Result-Sensitive Binary Search with Noisy Information. ISAAC 2019: 60:1-60:15 - [e1]Lijun Chang, Junhao Gan, Xin Cao:
Databases Theory and Applications, 30th Australasian Database Conference, ADC 2019, Sydney, NSW, Australia, January 29 - February 1, 2019, Proceedings. Lecture Notes in Computer Science 11393, Springer 2019, ISBN 978-3-030-12078-8 [contents] - [i1]Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang:
Graph Clustering in All Parameter Regimes. CoRR abs/1910.06435 (2019) - 2018
- [j2]Junhao Gan, Yufei Tao:
An I/O-Efficient Algorithm for Computing Vertex Separators on Multi-Dimensional Grid Graphs and Its Applications. J. Graph Algorithms Appl. 22(2): 297-327 (2018) - [c5]Junhao Gan, Yufei Tao:
Fast Euclidean OPTICS with Bounded Precision in Low Dimensional Space. SIGMOD Conference 2018: 1067-1082 - 2017
- [b1]Junhao Gan:
High Performance Density-Based Clustering on Massive Data. University of Queensland, Australia, 2017 - [j1]Junhao Gan, Yufei Tao:
On the Hardness and Approximation of Euclidean DBSCAN. ACM Trans. Database Syst. 42(3): 14:1-14:45 (2017) - [c4]Junhao Gan, Yufei Tao:
Dynamic Density Based Clustering. SIGMOD Conference 2017: 1493-1507 - 2016
- [c3]Miao Qiao, Junhao Gan, Yufei Tao:
Range Thresholding on Streams. SIGMOD Conference 2016: 571-582 - 2015
- [c2]Junhao Gan, Yufei Tao:
DBSCAN Revisited: Mis-Claim, Un-Fixability, and Approximation. SIGMOD Conference 2015: 519-530 - 2012
- [c1]Junhao Gan, Jianlin Feng, Qiong Fang, Wilfred Ng:
Locality-sensitive hashing scheme based on dynamic collision counting. SIGMOD Conference 2012: 541-552
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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