Mao Tan

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 17

Top Topics

Production Scheduling

Parallel Machines

Document Image Retrieval

Reinforcement Learning

Top Venues

Eng. Appl. Artif. Intell.

IEEE Trans. Instrum. Meas.

IEEE Trans. Veh. Technol.

Publications

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 (2024)
Xiao Liu, Jie Zhao, Wubing Chen, Mao Tan, Yongxing Su
BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions. CoRR (2024)
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 (2024)
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) (2023)
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 (2023)
Xiao Liu, Wubing Chen, Mao Tan
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning. CoRR (2023)
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 (2023)
Lulu Wang, Mao Tan, Jie Chen, Chengchen Liao
Multi-task learning based multi-energy load prediction in integrated energy system. Appl. Intell. 53 (9) (2023)
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) (2023)
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 (2022)
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) (2021)
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 (2021)
Mao Tan, Jicheng Jin, Yongxin Su
An Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid. SSCI (2019)
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) (2019)
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)
Mao Tan, Bin Duan, Yongxin Su
Economic batch sizing and scheduling on parallel machines under time-of-use electricity pricing. Oper. Res. 18 (1) (2018)
Mao Tan, Siping Yuan, Yongxin Su
Content-Based Similar Document Image Retrieval Using Fusion of CNN Features. ICIMCS (2017)
Mao Tan, Bin Duan, Yongxin Su, Feng He
Optimal hot rolling production scheduling for economic load dispatch under time-of-use electricity pricing. CoRR (2015)
Qigang Gao, Alan Parslow, Mao Tan
Perceptual motion tracking from image sequences. ICIP (1) (2001)
Qigang Gao, Alan Parslow, Mao Tan
Object Motion Detection Based on Perceptual Edge Tracking. Workshop on Digital and Computational Video (2001)