Mao Tan

According to our database, Mao Tan authored at least 19 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nonintrusive Load Identification Considering Unknown Load Based on Bimodal Fusion and One-Class Classification.

Jun Xiao, Mao Tan, Rui Pan, Yongxin Su, Ting Li, Zhenxuan Xu

IEEE Trans. Instrum. Meas., 2024

Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring.

Yongxin Su, Haotian Peng, Mao Tan, Jie Chen

IEEE Trans. Instrum. Meas., 2024

BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions.

Xiao Liu, Jie Zhao, Wubing Chen, Mao Tan, Yongxing Su

CoRR, 2024

2023

Fair and Efficient Electric Vehicle Charging Scheduling Optimization Considering the Maximum Individual Waiting Time and Operating Cost.

Mao Tan, Yuling Ren, Rui Pan, Ling Wang, Jie Chen

IEEE Trans. Veh. Technol., August, 2023

Fusing domain knowledge and reinforcement learning for home integrated demand response online optimization.

Zhiyao Zhang, Yongxin Su, Mao Tan, Rui Cao

Eng. Appl. Artif. Intell., May, 2023

Multi-task learning based multi-energy load prediction in integrated energy system.

Lulu Wang, Mao Tan, Jie Chen, Chengchen Liao

Appl. Intell., May, 2023

Bi-level optimization of charging scheduling of a battery swap station based on deep reinforcement learning.

Mao Tan, Zhuocen Dai, Yongxin Su, Caixue Chen, Ling Wang, Jie Chen

Eng. Appl. Artif. Intell., 2023

Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning.

Xiao Liu, Wubing Chen, Mao Tan

CoRR, 2023

2022

Multi-node load forecasting based on multi-task learning with modal feature extraction.

Mao Tan, Chenglin Hu, Jie Chen, Ling Wang, Zhengmao Li

Eng. Appl. Artif. Intell., 2022

2021

Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization.

Rui Wang, Wubin Ma, Mao Tan, Guohua Wu, Ling Wang, Dunwei Gong, Jian Xiong

Inf. Sci., 2021

PID self-tuning method based on deep belief network and improved firefly algorithm.

Lingzhi Yi, Xiu Xu, Mao Tan, Zongguang Zhang, Weihong Xiao, Lv Fan

Int. J. Autom. Control., 2021

2019

Genetic algorithms with greedy strategy for green batch scheduling on non-identical parallel machines.

Mao Tan, Hua-Li Yang, Yongxin Su

Memetic Comput., 2019

An Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid.

Mao Tan, Jicheng Jin, Yongxin Su

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Economic batch sizing and scheduling on parallel machines under time-of-use electricity pricing.

Mao Tan, Bin Duan, Yongxin Su

Oper. Res., 2018

An Improved NSGA-II based Algorithm for Economical Hot Rolling Batch Scheduling under Time-sensitive Electricity Prices.

Mao Tan, Miqing Li, Ling Wang

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017

Content-Based Similar Document Image Retrieval Using Fusion of CNN Features.

Mao Tan, Siping Yuan, Yongxin Su

Proceedings of the Internet Multimedia Computing and Service, 2017

2015

Optimal hot rolling production scheduling for economic load dispatch under time-of-use electricity pricing.

Mao Tan, Bin Duan, Yongxin Su, Feng He

CoRR, 2015

2001

Perceptual motion tracking from image sequences.

Qigang Gao, Alan Parslow, Mao Tan

Proceedings of the 2001 International Conference on Image Processing, 2001

Object Motion Detection Based on Perceptual Edge Tracking.

Qigang Gao, Alan Parslow, Mao Tan

Proceedings of the 2nd International Workshop on Digital and Computational Video (DCV 2001), 2001