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2020 – today
- 2024
[j12]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)- [j11]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) - [i3]Xiao Liu, Jie Zhao, Wubing Chen, Mao Tan, Yongxing Su:
BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions. CoRR abs/2401.07263 (2024) - 2023
- [j10]Lulu Wang, Mao Tan, Jie Chen, Chengchen Liao:
Multi-task learning based multi-energy load prediction in integrated energy system. Appl. Intell. 53(9): 10273-10289 (2023) - [j9]Mao Tan, Zhonglin Zhang, Yuling Ren, Irampaye Richard, Yuzhou Zhang:
Multi-Agent System for Electric Vehicle Charging Scheduling in Parking Lots. Complex Syst. Model. Simul. 3(2): 129-142 (2023) - [j8]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) - [j7]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) - [j6]Mao Tan, Yuling Ren, Rui Pan, Ling Wang, Jie Chen:
Fair and Efficient Electric Vehicle Charging Scheduling Optimization Considering the Maximum Individual Waiting Time and Operating Cost. IEEE Trans. Veh. Technol. 72(8): 9808-9820 (2023) - [i2]Xiao Liu, Wubing Chen, Mao Tan:
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning. CoRR abs/2309.06097 (2023) - 2022
- [j5]Mao Tan, Chenglin Hu, Jie Chen, Ling Wang, Zhengmao Li:
Multi-node load forecasting based on multi-task learning with modal feature extraction. Eng. Appl. Artif. Intell. 112: 104856 (2022) - 2021
- [j4]Lingzhi Yi, Xiu Xu, Mao Tan, Zongguang Zhang, Weihong Xiao, Lv Fan:
PID self-tuning method based on deep belief network and improved firefly algorithm. Int. J. Autom. Control. 15(3): 363-377 (2021) - [j3]Rui Wang, Wubin Ma, Mao Tan, Guohua Wu, Ling Wang, Dunwei Gong, Jian Xiong:
Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization. Inf. Sci. 546: 1148-1165 (2021)
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) - [c5]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) - [c4]Mao Tan, Miqing Li, Ling Wang:
An Improved NSGA-II based Algorithm for Economical Hot Rolling Batch Scheduling under Time-sensitive Electricity Prices. CASE 2018: 962-967 - 2017
- [c3]Mao Tan, Siping Yuan, Yongxin Su:
Content-Based Similar Document Image Retrieval Using Fusion of CNN Features. ICIMCS 2017: 260-270 - 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)
2000 – 2009
- 2001
- [c2]Qigang Gao, Alan Parslow, Mao Tan:
Object Motion Detection Based on Perceptual Edge Tracking. Workshop on Digital and Computational Video 2001: 78-85 - [c1]Qigang Gao, Alan Parslow, Mao Tan:
Perceptual motion tracking from image sequences. ICIP (1) 2001: 389-392
Coauthor Index
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