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Author

Lingyang Chu

Observed name: Chu, Lingyang
Institution: McMaster University
Observed institutions: East China University of Science and Technology, Simon Fraser University, Chinese Academy of Sciences, Institute of Computing Technology, Huawei Technologies (Canada), McMaster University
ORCID: 0000-0002-8937-1750
Observed ORCID: 0000-0002-8937-1750
OpenAlex ID: A5007946897
Personalized Cross-Silo Federated Learning on Non-IID Data
2021 · Yutao Huang, Lingyang Chu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 744
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Model complexity of deep learning: a survey
2021 · Xia Hu, Lingyang Chu, et al. · Knowledge and Information Systems · 411
Exact and Consistent Interpretation for Piecewise Linear Neural Networks
2018 · Lingyang Chu, Xia Hu, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 87
Activity Maximization by Effective Information Diffusion in Social Networks
2017 · Zhefeng Wang, Yu Yang, et al. · IEEE Transactions on Knowledge and Data Engineering · 64
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Towards Fair Federated Learning
2021 · Zirui Zhou, Lingyang Chu, et al. · 47
Robust Spatial Consistency Graph Model for Partial Duplicate Image Retrieval
2013 · Lingyang Chu, Shuqiang Jiang, et al. · IEEE Transactions on Multimedia · 45
Finding Gangs in War from Signed Networks
2016 · Lingyang Chu, Zhefeng Wang, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 43
Robust Counterfactual Explanations on Graph Neural Networks
2021 · Bajaj, Mohit, Chu, Lingyang, et al. · arXiv (Cornell University) · 40
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Effective Multimodality Fusion Framework for Cross-Media Topic Detection
2014 · Lingyang Chu, Yanyan Zhang, et al. · IEEE Transactions on Circuits and Systems for Video Technology · 40
Online density bursting subgraph detection from temporal graphs
2019 · Lingyang Chu, Yanyan Zhang, et al. · Proceedings of the VLDB Endowment · 39
Cross-media topic detection: A multi-modality fusion framework
2013 · Yanyan Zhang, Guorong Li, et al. · IEEE International Conference on Multimedia and Expo (ICME) · 35
Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction
2024 · Yu Zang, Zhe Xue, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 33
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Boosting efficiency in a clinical literature surveillance system with LightGBM
2024 · Cynthia Lokker, Wael Abdelkader, et al. · PLOS Digital Health · 31
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Cosine Model Watermarking against Ensemble Distillation
2022 · Laurent Charette, Lingyang Chu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 27
FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data
2023 · Yunfei Long, Zhe Xue, et al. · ACM International Conference on Multimedia (ACM MM) · 21
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Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation
2023 · Cynthia Lokker, Elham Bagheri, et al. · Journal of Biomedical Informatics · 20
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Personalized Federated Learning: An Attentive Collaboration Approach.
2020 · Yutao Huang, Lingyang Chu, et al. · arXiv (Cornell University) · 19
Training Fair Models in Federated Learning without Data Privacy Infringement
2021 · Che, Xin, Hu, Jingdi, et al. · arXiv (Cornell University) · 18
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Mining Density Contrast Subgraphs
2018 · Yu Yang, Lingyang Chu, et al. · Proceedings - International Conference on Data Engineering · 16
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Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
2018 · Chu, Lingyang, Hu, Xia, et al. · arXiv (Cornell University) · 15
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ALID
2015 · Lingyang Chu, Shuhui Wang, et al. · Proceedings of the VLDB Endowment · 15
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
2023 · Qiying Pan, Yifei Zhu, et al. · Proceedings - International Conference on Data Engineering · 14
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A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation
2021 · Wael Abdelkader, Tamara Navarro, et al. · JMIR Research Protocols · 14
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Stealthy Targeted Data Poisoning Attack on Knowledge Graphs
2021 · Prithu Banerjee, Lingyang Chu, et al. · Proceedings - International Conference on Data Engineering · 13
Classification with label noise: a Markov chain sampling framework
2018 · Zijin Zhao, Lingyang Chu, et al. · Data Mining and Knowledge Discovery · 12
Works count: 68
Citation count: 1,984
H-index: 18
I10-index: 29
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