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Yanru Zhang
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FedTADBench: Federated Time-Series Anomaly Detection Benchmark


Dec 19, 2022
Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu

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* 8 pages, 6 figures, published by IEEE HPCC 2022 
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Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets


Jun 23, 2022
Chenghao Huang, Weilong Chen, Xiaoyi Wang, Feng Hong, Shunji Yang, Yuxi Chen, Shengrong Bu, Changkun Jiang, Yingjie Zhou, Yanru Zhang

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DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning


Jan 30, 2022
Chenghao Huang, Weilong Chen, Yuxi Chen, Shunji Yang, Yanru Zhang

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Protum: A New Method For Prompt Tuning Based on "[MASK]"


Jan 28, 2022
Pan He, Yuxi Chen, Yan Wang, Yanru Zhang

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* under review in ICML 
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Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Spatial-Temporal Graph Information


Dec 22, 2021
Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang

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* 18 pages, 14 figures 
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Feature Encoding with AutoEncoders for Weakly-supervised Anomaly Detection


Jun 03, 2021
Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu

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* 12pages,4 figures, accepted by 2021 IEEE Transactions on Neural Networks and Learning Systems 
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