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2020 – today

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2023
[j2]
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  - journals/tkde/DingLZWDL23
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Wangxiang Ding, Wenzhong Li, Zhijie Zhang, Chen Wan, Jian-Hui Duan, Sanglu Lu:
Time-Varying Gaussian Markov Random Fields Learning for Multivariate Time Series Clustering. IEEE Trans. Knowl. Data Eng. 35(11): 11950-11966 (2023)
[c3]
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Jian-Hui Duan, Wenzhong Li, Derun Zou, Ruichen Li, Sanglu Lu:
Federated Learning with Data-Agnostic Distribution Fusion. CVPR 2023: 8074-8083
2022
[j1]
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Jian-Hui Duan, Wenzhong Li, Xiao Zhang, Sanglu Lu:
Forecasting fine-grained city-scale cellular traffic with sparse crowdsourced measurements. Comput. Networks 214: 109156 (2022)
[c2]
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  - conf/ipccc/ZouLSDLXLL22
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Derun Zou, Xusheng Liu, Lintan Sun, Jian-Hui Duan, Ruichen Li, Yeting Xu, Wenzhong Li, Sanglu Lu:
FedMC: Federated Reinforcement Learning on the Edge with Meta-Critic Networks. IPCCC 2022: 344-351
2021
[c1]
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  - conf/pkdd/DuanLL21
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Jian-Hui Duan, Wenzhong Li, Sanglu Lu:
FedDNA: Federated Learning with Decoupled Normalization-Layer Aggregation for Non-IID Data. ECML/PKDD (1) 2021: 722-737

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