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Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side


Nov 11, 2022
Jinsong Sang, Hongbin Sun, Lei Kou

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* Sensors 

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DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection


Jul 22, 2022
Jinrong Yang, Lin Song, Songtao Liu, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, Nanning Zheng

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S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving


Jun 22, 2022
Weihuang Chen, Fangfang Wang, Hongbin Sun

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* Accepted by ACML2021 

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RF-LIO: Removal-First Tightly-coupled Lidar Inertial Odometry in High Dynamic Environments


Jun 19, 2022
Chenglong Qian, Zhaohong Xiang, Zhuoran Wu, Hongbin Sun

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Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation


Apr 08, 2022
Ensheng Shi, Wenchao Gub, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

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ECMG: Exemplar-based Commit Message Generation


Apr 07, 2022
Ensheng Shia, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

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One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks


Mar 30, 2022
Qiong Liu, Ye Guo, Lirong Deng, Haotian Liu, Dongyu Li, Hongbin Sun, Wenqi Huang

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A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction


Jan 08, 2022
Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun

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* 10 pages, 11 figures, 2 tables and 3 frameworks 

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threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning


Nov 08, 2021
Su Wang, Zhiliang Wang, Tao Zhou, Xia Yin, Dongqi Han, Han Zhang, Hongbin Sun, Xingang Shi, Jiahai Yang

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* 13 pages, 6 figures 

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