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2020 – today
- 2025
[j10]Mao Tan
, Jie Zhao, Xiao Liu, Yongxin Su, Ling Wang, Rui Wang, Zhuocen Dai:
Federated Reinforcement Learning for smart and privacy-preserving energy management of residential microgrids clusters. Eng. Appl. Artif. Intell. 139: 109579 (2025)- [j9]Zhuocen Dai, Mao Tan, Yin Yang, Xiao Liu, Rui Wang, Yongxin Su:
Massive Coordination of Distributed Energy Resources in VPP: A Mean Field RL-Based Bi-Level Optimization Approach. IEEE Trans. Cybern. 55(3): 1332-1346 (2025) - [j8]Mao Tan, Yaqing Gong, Lin Wang, Kang Li, Jiawen Tong, Yongxin Su:
LFArc-PFE: A Series Arc Fault Detection Method Based on Low-Frequency Current Data and Perturbation Feature Extraction. IEEE Trans. Instrum. Meas. 74: 1-11 (2025) - [c6]Tinglong Zhou, Yongxin Su, Yukuan Sun:
MAFD-GCN: Multi-view Adaptive Frequency Dynamic Graph Convolutional Networks. IJCNN 2025: 1-8 - [i4]Chenfeng Hou, Qi Xun Yeo, Mengqi Guo, Yongxin Su, Yanyan Li, Gim Hee Lee:
MVGSR: Multi-View Consistency Gaussian Splatting for Robust Surface Reconstruction. CoRR abs/2503.08093 (2025) - [i3]Yongxin Su, Lin Chen, Kaiting Zhang, Zhongliang Zhao, Chenfeng Hou, Ziping Yu:
GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels. CoRR abs/2505.01934 (2025) - 2024
- [j7]Ziping Yu, Hongbo Huang, Weijun Chen, Yongxin Su, Yahui Liu, Xiuying Wang:
YOLO-FaceV2: A scale and occlusion aware face detector. Pattern Recognit. 155: 110714 (2024) - [j6]Yongxin Su, Haotian Peng, Mao Tan, Jie Chen:
Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j5]Jun Xiao, Mao Tan, Rui Pan, Yongxin Su, Ting Li, Zhenxuan Xu:
Nonintrusive Load Identification Considering Unknown Load Based on Bimodal Fusion and One-Class Classification. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - 2023
- [j4]Mao Tan, Zhuocen Dai, Yongxin Su, Caixue Chen, Ling Wang, Jie Chen:
Bi-level optimization of charging scheduling of a battery swap station based on deep reinforcement learning. Eng. Appl. Artif. Intell. 118: 105557 (2023) - [j3]Zhiyao Zhang, Yongxin Su, Mao Tan, Rui Cao:
Fusing domain knowledge and reinforcement learning for home integrated demand response online optimization. Eng. Appl. Artif. Intell. 121: 105995 (2023) - [c5]Lei Chen, Yongxin Su, Tao Zhang:
Deep Reinforcement Learning based Demand Response for Domestic Variable Volume Water Heater. ICPS 2023: 1-6 - 2022
- [c4]Yongxin Su, Hongbo Huang, Zun Song, Lei Lin, Jinhan Liu:
UMixer: A Novel U-shaped Convolutional Mixer for Multi-scale Feature Fusion in Medical Image Segmentation. CCBR 2022: 694-702 - [i2]Ziping Yu, Hongbo Huang, Weijun Chen, Yongxin Su, Yahui Liu, Xiuying Wang:
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector. CoRR abs/2208.02019 (2022)
2010 – 2019
- 2019
- [j2]Mao Tan, Hua-Li Yang, Yongxin Su:
Genetic algorithms with greedy strategy for green batch scheduling on non-identical parallel machines. Memetic Comput. 11(4): 439-452 (2019) - [c3]Mao Tan, Jicheng Jin, Yongxin Su:
An Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid. SSCI 2019: 497-502 - 2018
- [j1]Mao Tan, Bin Duan, Yongxin Su:
Economic batch sizing and scheduling on parallel machines under time-of-use electricity pricing. Oper. Res. 18(1): 105-122 (2018) - 2017
- [c2]Mao Tan, Siping Yuan, Yongxin Su:
Content-Based Similar Document Image Retrieval Using Fusion of CNN Features. ICIMCS 2017: 260-270 - [c1]Penglei Liu, Yalian Wu, Yongxin Su, Bin Duan:
Fault detection and location of microgrid based on distributed decision. IECON 2017: 5054-5059 - 2015
- [i1]Mao Tan, Bin Duan, Yongxin Su, Feng He:
Optimal hot rolling production scheduling for economic load dispatch under time-of-use electricity pricing. CoRR abs/1501.05502 (2015)
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