Lingyang Chu (褚令洋)
McMaster University
H-index: 16
North America-Canada
Top articles of Lingyang Chu (褚令洋)
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction | Yu Zhang Zhe Xue Shilong Ou Lingyang Chu Junping Du | 2024 | |
Method, apparatus and system for secure vertical federated learning | 2023/12/5 | ||
Machine learning to increase the efficiency of a literature surveillance system: a performance evaluation | medRxiv | Cynthia Lokker Wael Abdelkader Elham Bagheri Parrish Rick Chris Cotoi | 2023 |
Methods and systems for mining minority-class data samples for training a neural network | 2023/11/14 | ||
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices | Qiying Pan Yifei Zhu Lingyang Chu | 2023 | |
FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data | Yunfei Long Zhe Xue Lingyang Chu Tianlong Zhang Junjiang Wu | 2023/10 | |
Methods and systems for horizontal federated learning using non-IID data | 2023/8/1 | ||
Method and system for evaluating fairness of machine learning model | 2023/7/13 | ||
Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation | Journal of Biomedical Informatics | Cynthia Lokker Elham Bagheri Wael Abdelkader Rick Parrish Muhammad Afzal | 2023/6/1 |
Flexible order aware sequential recommendation | Mingda Qian Xiaoyan Gu Lingyang Chu Feifei Dai Haihui Fan | 2022/6/27 | |
Mining Minority-class Examples With Uncertainty Estimates | Gursimran Singh Lingyang Chu Lanjun Wang Jian Pei Qi Tian | 2022/3/15 | |
Cosine Model Watermarking Against Ensemble Distillation | Proceedings of the AAAI Conference on Artificial Intelligence | Laurent Charette Lingyang Chu Yizhou Chen Jian Pei Lanjun Wang | 2022/6/28 |
System and method for ai model watermarking | 2022/9/22 | ||
Methods, systems, and media for deep neural network interpretation via rule extraction | 2022/8/30 | ||
Revealing Unfair Models by Mining Interpretable Evidence | arXiv preprint arXiv:2207.05811 | Mohit Bajaj Lingyang Chu Vittorio Romaniello Gursimran Singh Jian Pei | 2022/7/12 |
Personalized cross-silo federated learning on non-iid data | Proceedings of the AAAI Conference on Artificial Intelligence | Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu | 2021/5/18 |
Fedfair: Training fair models in cross-silo federated learning | arXiv preprint arXiv:2109.05662 | Lingyang Chu Lanjun Wang Yanjie Dong Jian Pei Zirui Zhou | 2021/9/13 |
Deep Learning Model Complexity: Concepts and Approaches | SDM 2021 Tutorial | Xia Hu Lingyang Chu Jian Pei Jiang Bian Weiqing Liu | 2021 |
Towards fair federated learning | Zirui Zhou Lingyang Chu Changxin Liu Lanjun Wang Jian Pei | 2021/8/14 | |
Robust Counterfactual Explanations on Graph Neural Networks | Advances in Neural Information Processing Systems | Mohit Bajaj Lingyang Chu Zi Yu Xue Jian Pei Lanjun Wang | 2021/12/6 |
