Lingyang Chu (褚令洋)

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Jian PeiProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Qingming HuangUniversity of the Chinese Academy of SciencesVerified email at ucas.ac.cn
Yong ZhangDistinguished Researcher at Huawei Technologies, CanadaVerified email at huawei.com
Shuhui Wang（王树徽）Professor, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Enhong ChenUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Jiannan WangAssociate Professor, Simon Fraser UniversityVerified email at sfu.ca
Wu Liu (刘武)JD AI Research; previously BUPT; ICT, CASVerified email at jd.com
Dacheng TaoThe University of SydneyVerified email at sydney.edu.au
Laks V.S. LakshmananProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
xiaoyan guInstitute of Information Engineering，Chinese Academy of SciencesVerified email at iie.ac.cn
Cynthia LokkerMcMaster University, Dept of Health Evidence and ImpactVerified email at mcmaster.ca
Alfonso IorioProfessor and Chair, Department of Health Research Methods, Evidence, and Impact, McMasterVerified email at mcmaster.ca
R Brian Haynes, OC, MD, PhDProfessor Emeritus, McMaster UniversityVerified email at mcmaster.ca
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningVerified email at manchester.ac.uk
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Yang ShiDepartment of Mechanical Engineering, Faculty of Engineering, University of Victoria, CanadaVerified email at uvic.ca
Qi Tian, Chief Scientist in Artificial Intel...Huawei Cloud & AIVerified email at huawei.com

Lingyang Chu (褚令洋)

Assistant Professor, McMaster University

Verified email at mcmaster.ca - Homepage

Data Mining Big Data Analytics Trustworthy AI


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Personalized cross-silo federated learning on non-iid data Y Huang, L Chu, Z Zhou, L Wang, J Liu, J Pei, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence, 2021	79*	2021
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution L Chu, X Hu, J Hu, L Wang, J Pei Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	73	2018
Robust spatial consistency graph model for partial duplicate image retrieval L Chu, S Jiang, S Wang, Y Zhang, Q Huang IEEE Transactions on Multimedia 15 (8), 1982-1996, 2013	56	2013
Activity maximization by effective information diffusion in social networks Z Wang, Y Yang, J Pei, L Chu, E Chen IEEE Transactions on Knowledge and Data Engineering 29 (11), 2374-2387, 2017	41	2017
Effective multimodality fusion framework for cross-media topic detection L Chu, Y Zhang, G Li, S Wang, W Zhang, Q Huang IEEE Transactions on Circuits and Systems for Video Technology 26 (3), 556-569, 2014	37	2014
Finding Gangs in War from Signed Networks L Chu, Z Wang, J Pei, J Wang, Z Zhao, E Chen Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016	36	2016
Cross-media topic detection: A multi-modality fusion framework Y Zhang, G Li, L Chu, S Wang, W Zhang, Q Huang 2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013	30	2013
Model Complexity of Deep Learning: A Survey X Hu, L Chu, J Pei, W Liu, J Bian arXiv preprint arXiv:2103.05127 (Accepted by KAIS), 2021	19	2021
Alid: scalable dominant cluster detection L Chu, S Wang, S Liu, Q Huang, J Pei Proceedings of the VLDB Endowment 2015, 2015	18	2015
Detection and location of near-duplicate video sub-clips by finding dense subgraphs T Chen, S Jiang, L Chu, Q Huang Proceedings of the 19th ACM international conference on Multimedia, 1173-1176, 2011	17	2011
Mining Density Contrast Subgraphs Y Yang, L Chu, Y Zhang, Z Wang, J Pei, E Chen International Conference on Data Engineering (ICDE) 2018., 2018	13	2018
Online density bursting subgraph detection from temporal graphs L Chu, Y Zhang, Y Yang, L Wang, J Pei Proceedings of the VLDB Endowment 12 (13), 2353-2365, 2020	10	2020
Robust Counterfactual Explanations on Graph Neural Networks M Bajaj, L Chu, ZY Xue, J Pei, L Wang, PCH Lam, Y Zhang arXiv preprint arXiv:2107.04086 (Accepted by NeurIPS 2021), 2021	9	2021
Classification with Label Noise: A Markov Chain Sampling Framework Z Zhao, L Chu, D Tao, J Pei Data Mining and Knowledge Discovery 6 (2018), 2019	9	2019
A common subgraph correspondence mining framework for map search services W Liu, L Zhu, L Chu, H Ma Multimedia Tools and Applications 78 (1), 747-766, 2019	7	2019
Towards Fair Federated Learning Z Zhou, L Chu, C Liu, L Wang, J Pei, Y Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	5	2021
Graph-Density-based visual word vocabulary for image retrieval L Chu, S Wang, Y Zhang, S Jiang, Q Huang 2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014	5	2014
Fedfair: Training fair models in cross-silo federated learning L Chu, L Wang, Y Dong, J Pei, Z Zhou, Y Zhang arXiv preprint arXiv:2109.05662, 2021	4	2021
Finding Theme Communities from Database Networks L Chu, Z Wang, J Pei, Y Zhang, Y Yang, E Chen Proceedings of the VLDB Endowment 2019 12 (10), 2019	4*	2019
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution Z Cong, L Chu, L Wang, X Hu, J Pei International Conference on Data Engineering (ICDE) 2020., 2019	4	2019

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