Lingyang Chu (褚令洋)
Lingyang Chu (褚令洋)
Assistant Professor, McMaster University
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
Model Complexity of Deep Learning: A Survey
X Hu, L Chu, J Pei, W Liu, J Bian
Knowledge and Information Systems, 2021, 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
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
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
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
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
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
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
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
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
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
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
Mining Density Contrast Subgraphs
Y Yang, L Chu, Y Zhang, Z Wang, J Pei, E Chen
International Conference on Data Engineering (ICDE) 2018., 2018
Alid: scalable dominant cluster detection
L Chu, S Wang, S Liu, Q Huang, J Pei
Proceedings of the VLDB Endowment 2015, 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
Cosine Model Watermarking Against Ensemble Distillation
L Charette, L Chu, Y Chen, J Pei, L Wang, Y Zhang
Proceedings of the AAAI Conference on Artificial Intelligence, 2022, 2022
Achieving model fairness in vertical federated learning
C Liu, Z Fan, Z Zhou, Y Shi, J Pei, L Chu, Y Zhang
arXiv preprint arXiv:2109.08344, 2021
Method, apparatus and system for secure vertical federated learning
CHU Lingyang, Y Huang, Y Zhang, L Wang
US Patent 11,836,583, 2023
Finding Representative Interpretations on Convolutional Neural Networks
PCH Lam, L Chu, M Torgonskiy, J Pei, Y Zhang, L Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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