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Lingyang Chu
Lingyang Chu
Assistant Professor, McMaster University
Verified email at mcmaster.ca - Homepage
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
125*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
802018
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
552013
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
472017
Model Complexity of Deep Learning: A Survey
X Hu, L Chu, J Pei, W Liu, J Bian
Knowledge and Information Systems, 2021, 2021
402021
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
372016
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
372014
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
312013
Alid: scalable dominant cluster detection
L Chu, S Wang, S Liu, Q Huang, J Pei
Proceedings of the VLDB Endowment 2015, 2015
182015
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
172011
Robust Counterfactual Explanations on Graph Neural Networks
M Bajaj, L Chu, ZY Xue, J Pei, L Wang, PCH Lam, Y Zhang
Advances in Neural Information Processing Systems, 2021, 2021
152021
Mining Density Contrast Subgraphs
Y Yang, L Chu, Y Zhang, Z Wang, J Pei, E Chen
International Conference on Data Engineering (ICDE) 2018., 2018
132018
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
122019
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
112020
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
82021
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
82021
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
72019
Stealthy targeted data poisoning attack on knowledge graphs
P Banerjee, L Chu, Y Zhang, LVS Lakshmanan, L Wang
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2069-2074, 2021
52021
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
52014
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
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Articles 1–20