Object Motion Detection Based on Perceptual Edge Tracking. - Qigang Gao; Alan Parslow; Mao Tan (Workshop on Digital and Computational Video, 2001)

Perceptual motion tracking from image sequences. - Qigang Gao; Alan Parslow; Mao Tan (ICIP (1), 2001)

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)

Content-Based Similar Document Image Retrieval Using Fusion of CNN Features. - Mao Tan; Siping Yuan; Yongxin Su (ICIMCS, 2017)

An Improved NSGA-II based Algorithm for Economical Hot Rolling Batch Scheduling under Time-sensitive Electricity Prices. - Mao Tan; Miqing Li; Ling Wang 001 (CASE, 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 Ensemble Learning Approach for Short-Term Load Forecasting of Grid-Connected Multi-energy Microgrid. - Mao Tan; Jicheng Jin; Yongxin Su (SSCI, 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)

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)

Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization. - Rui Wang 017; Wubin Ma; Mao Tan; Guohua Wu 001; Ling Wang 001; Dunwei Gong; Jian Xiong 002 (Inf. Sci., 2021)

Multi-node load forecasting based on multi-task learning with modal feature extraction. - Mao Tan; Chenglin Hu; Jie Chen 003; Ling Wang 001; Zhengmao Li (Eng. Appl. Artif. Intell., 2022)

Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning. - Xiao Liu; Wubing Chen; Mao Tan (CoRR, 2023)

Multi-Agent System for Electric Vehicle Charging Scheduling in Parking Lots. - Mao Tan; Zhonglin Zhang; Yuling Ren; Irampaye Richard; Yuzhou Zhang (Complex Syst. Model. Simul., 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 001; Jie Chen 003 (Eng. Appl. Artif. Intell., 2023)

Multi-task learning based multi-energy load prediction in integrated energy system. - Lulu Wang; Mao Tan; Jie Chen; Chengchen Liao (Appl. Intell., 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., 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 001; Jie Chen 003 (IEEE Trans. Veh. Technol., 2023)

BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions. - Xiao Liu; Jie Zhao; Wubing Chen; Mao Tan; Yongxing Su (CoRR, 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)

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)

Federated Reinforcement Learning for smart and privacy-preserving energy management of residential microgrids clusters. - Mao Tan; Jie Zhao; Xiao Liu; Yongxin Su; Ling Wang; Rui Wang; Zhuocen Dai (Eng. Appl. Artif. Intell., 2025)

LFArc-PFE: A Series Arc Fault Detection Method Based on Low-Frequency Current Data and Perturbation Feature Extraction. - Mao Tan; Yaqing Gong; Lin Wang 101; Kang Li 002; Jiawen Tong; Yongxin Su (IEEE Trans. Instrum. Meas., 2025)

Massive Coordination of Distributed Energy Resources in VPP: A Mean Field RL-Based Bi-Level Optimization Approach. - Zhuocen Dai; Mao Tan; Yin Yang 003; Xiao Liu; Rui Wang 017; Yongxin Su (IEEE Trans. Cybern., 2025)