Zengfeng Huang

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Zhewei WeiProfessor, Renmin University of ChinaVerified email at ruc.edu.cn
Ke YiHKUSTVerified email at cse.ust.hk
Wenjie ZhangProfessor of Computer Science and Engineering, University of New South WalesVerified email at cse.unsw.edu.au
Ying ZhangProfessor, School of Computer Science, the University of Technology Sydney (UTS)Verified email at uts.edu.au
Shengzhong ZhangFudan UniversityVerified email at fudan.edu.cn
Qin ZhangIndiana University BloomingtonVerified email at indiana.edu
Xuemin LinChair Professor at Shanghai Jiaotong UniversityVerified email at cse.unsw.edu.au
David WipfPrincipal Research Scientist, Amazon Web ServicesVerified email at amazon.com
Jian Wang (王健)Fudan University, Korea University, Duke UniversityVerified email at fudan.edu.cn
Tang LiuAlibaba GroupVerified email at alibaba-inc.com
Min ZhouNoah's Ark Lab, HuaweiVerified email at huawei.com
Pankaj K. AgarwalDuke UniversityVerified email at cs.duke.edu
Jeff PhillipsAssociate Professor, School of Computing, University of UtahVerified email at cs.utah.edu
Graham CormodeMeta AI, University of WarwickVerified email at warwick.ac.uk
Yongyi YangUniversity of MichiganVerified email at umich.edu
Yunhao LiuACM Fellow, IEEE Fellow, CCF Fellow, Tsinghua UniversityVerified email at tsinghua.edu.cn
Zhongyu Wei (魏忠钰)Associate Professor at School of Data Science, Fudan UniversityVerified email at fudan.edu.cn
Milan VojnovicProfessor, Department of Statistics, LSEVerified email at lse.ac.uk
Bozidar RadunovicMicrosoft ResearchVerified email at microsoft.com
Zheng ZhangProfessor of Computer Science and Engineering, NYU ShanghaiVerified email at nyu.edu

Zengfeng Huang

Fudan University

Verified email at fudan.edu.cn - Homepage

Algorithms Graphs Streaming Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Simple and deep graph convolutional networks M Chen, Z Wei, Z Huang, B Ding, Y Li International conference on machine learning, 1725-1735, 2020	710	2020
Mergeable summaries PK Agarwal, G Cormode, Z Huang, JM Phillips, Z Wei, K Yi ACM Transactions on Database Systems (TODS) 38 (4), 1-28, 2013	234	2013
SKYPE: top-k spatial-keyword publish/subscribe over sliding window X Wang, Y Zhang, W Zhang, X Lin, Z Huang Proceedings of the VLDB Endowment 9 (7), 588-599, 2016	69	2016
Randomized algorithms for tracking distributed count, frequencies, and ranks Z Huang, K Yi, Q Zhang Proceedings of the 31st ACM SIGMOD-SIGACT-SIGAI symposium on Principles of …, 2012	63	2012
Sampling based algorithms for quantile computation in sensor networks Z Huang, L Wang, K Yi, Y Liu Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011	63	2011
Communication Complexity of Maximum Matching in Distributed Graph Data Z Huang, B Radunovic, M Vojnovic, Q Zhang LIPIcs-Leibniz International Proceedings in Informatics 30, 2015	46*	2015
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation M He, Z Wei, Z Huang, H Xu Advances in Neural Information Processing Systems 34, 2021	42	2021
Graph neural networks inspired by classical iterative algorithms Y Yang, T Liu, Y Wang, J Zhou, Q Gan, Z Wei, Z Zhang, Z Huang, D Wipf International Conference on Machine Learning, 11773-11783, 2021	38	2021
Discrete-time temporal network embedding via implicit hierarchical learning in hyperbolic space M Yang, M Zhou, M Kalander, Z Huang, I King Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	36	2021
Top-k spatial-keyword publish/subscribe over sliding window X Wang, W Zhang, Y Zhang, X Lin, Z Huang The VLDB Journal 26 (3), 301-326, 2017	35	2017
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices Z Huang Journal of Machine Learning Reseach 20 (56), 1-23, 2019	26	2019
Optimal sampling algorithms for frequency estimation in distributed data Z Huang, K Yi, Y Liu, G Chen 2011 Proceedings IEEE INFOCOM, 1997-2005, 2011	25	2011
Ghost imaging based on y-net: a dynamic coding and decoding approach R Zhu, H Yu, Z Tan, R Lu, SS Han, Z Huang, J Wang Optics Express 28 (12), 17556-17569, 2020	23	2020
Scaling up graph neural networks via graph coarsening Z Huang, S Zhang, C Xi, T Liu, M Zhou Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	22	2021
Gb-kmv: An augmented kmv sketch for approximate containment similarity search Y Yang, Y Zhang, W Zhang, Z Huang 2019 IEEE 35th International Conference on Data Engineering (ICDE), 458-469, 2019	21	2019
Dynamic Graph Stream Algorithms in o(n) Space Z Huang, P Peng Algorithmica 81, 1965-1987, 2019	19	2019
Dynamic self-training framework for graph convolutional networks Z Zhou, S Zhang, Z Huang	18*	2019
PathQG: Neural question generation from facts S Wang, Z Wei, Z Fan, Z Huang, W Sun, Q Zhang, XJ Huang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020	17	2020
Higher-order weighted graph convolutional networks S Liu, L Chen, H Dong, Z Wang, D Wu, Z Huang arXiv preprint arXiv:1911.04129, 2019	17	2019
Optimization of light fields in ghost imaging using dictionary learning C Hu, Z Tong, Z Liu, Z Huang, J Wang, S Han Optics express 27 (20), 28734-28749, 2019	17	2019

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