2026
PIUL-DERs: Physics-Informed Pseudo-Labeling Unsupervised Learning for Smart Homes with Distributed Energy Resources
Yihan Huang, Jing Jiang#, Zhilin Gao, Hongjian Sun, Zhiwei Gao (# corresponding author)
Applied Energy 2026
This article proposes a novel algorithm PIUL-DERs, physics-informed pseudo-labeling unsupervised learning for the residential DERs management of smart homes with EV and PV systems. This work is supported by the VPP-WARD Project (https://www.vppward.com).
PIUL-DERs: Physics-Informed Pseudo-Labeling Unsupervised Learning for Smart Homes with Distributed Energy Resources
Yihan Huang, Jing Jiang#, Zhilin Gao, Hongjian Sun, Zhiwei Gao (# corresponding author)
Applied Energy 2026
This article proposes a novel algorithm PIUL-DERs, physics-informed pseudo-labeling unsupervised learning for the residential DERs management of smart homes with EV and PV systems. This work is supported by the VPP-WARD Project (https://www.vppward.com).
2025
PLT-GRU: Physics-Informed Lightweight Transformer-GRU Algorithm for Few-Shot Battery State-of-Health Estimation
Yue Yin,, Zhilin Gao, Yihan Huang#, Qinyang Liu (# corresponding author)
Measurement Science and Technology 2025
This article proposes the PLT-GRU, a physics-informed lightweight Transformer-GRU algorithm for few-shot battery SoH Estimation.
PLT-GRU: Physics-Informed Lightweight Transformer-GRU Algorithm for Few-Shot Battery State-of-Health Estimation
Yue Yin,, Zhilin Gao, Yihan Huang#, Qinyang Liu (# corresponding author)
Measurement Science and Technology 2025
This article proposes the PLT-GRU, a physics-informed lightweight Transformer-GRU algorithm for few-shot battery SoH Estimation.
PG-DAT: Physics-Guided Domain-Adaptive Transformer for Battery State-of-Health Forecast
Yue Yin, Jing Jiang#, Yihan Huang, Zhilin Gao (# corresponding author)
2025 IEEE/CIC International Conference on Communications in China (ICCC) 2025
We propose the physics-guided domain-adaptive Transformer (PG-DAT) for battery SoH forecasting in smart-city energy systems.
PG-DAT: Physics-Guided Domain-Adaptive Transformer for Battery State-of-Health Forecast
Yue Yin, Jing Jiang#, Yihan Huang, Zhilin Gao (# corresponding author)
2025 IEEE/CIC International Conference on Communications in China (ICCC) 2025
We propose the physics-guided domain-adaptive Transformer (PG-DAT) for battery SoH forecasting in smart-city energy systems.
PUL-DERs: Distributed Energy Resources Prediction Algorithm Via Pseudo-Labeling Unsupervised Learning
Yihan Huang, Jing Jiang#, Zhilin Gao, Yue Yin, Hongjian Sun, Zhiwei Gao (# corresponding author)
2025 IEEE Statistical Signal Processing Workshop (SSP) 2025
We propose PUL-DERs, predicting the characteristic electrical profiles produced by EV and PV systems in the distribution network utilizing pseudo-labeling unsupervised learning.
PUL-DERs: Distributed Energy Resources Prediction Algorithm Via Pseudo-Labeling Unsupervised Learning
Yihan Huang, Jing Jiang#, Zhilin Gao, Yue Yin, Hongjian Sun, Zhiwei Gao (# corresponding author)
2025 IEEE Statistical Signal Processing Workshop (SSP) 2025
We propose PUL-DERs, predicting the characteristic electrical profiles produced by EV and PV systems in the distribution network utilizing pseudo-labeling unsupervised learning.
2024
A Novel Autonomous Exploration Algorithm via LiDAR/IMU SLAM and Hierarchical Subsystem for Mobile Robot in Unknown Indoor Environments
Zhilin Gao, Fei Xie#, Yihan Huang, Jing Zhao, Haisen Luo, Xinchen Yan, Fei Zhao, Pin Lv (# corresponding author)
Measurement Science and Technology 2024
To perform accurate and efficient exploration tasks, we have proposed a novel autonomous exploration algorithm via LiDAR/IMU SLAM and hierarchical subsystem for mobile robot in unknown environments.
A Novel Autonomous Exploration Algorithm via LiDAR/IMU SLAM and Hierarchical Subsystem for Mobile Robot in Unknown Indoor Environments
Zhilin Gao, Fei Xie#, Yihan Huang, Jing Zhao, Haisen Luo, Xinchen Yan, Fei Zhao, Pin Lv (# corresponding author)
Measurement Science and Technology 2024
To perform accurate and efficient exploration tasks, we have proposed a novel autonomous exploration algorithm via LiDAR/IMU SLAM and hierarchical subsystem for mobile robot in unknown environments.
ULG-SLAM: A Novel Unsupervised Learning and Geometric Feature-Based Visual SLAM Algorithm for Robot Localizability Estimation
Yihan Huang, Fei Xie#, Jing Zhao, Zhilin Gao, Jun Chen, Fei Zhao, Xixiang Liu (# corresponding author)
Remote Sensing 2024
This paper proposes ULG-SLAM, a novel unsupervised learning and geometric-based visual SLAM algorithm for robot localizability estimation to improve the accuracy and robustness of visual SLAM.
ULG-SLAM: A Novel Unsupervised Learning and Geometric Feature-Based Visual SLAM Algorithm for Robot Localizability Estimation
Yihan Huang, Fei Xie#, Jing Zhao, Zhilin Gao, Jun Chen, Fei Zhao, Xixiang Liu (# corresponding author)
Remote Sensing 2024
This paper proposes ULG-SLAM, a novel unsupervised learning and geometric-based visual SLAM algorithm for robot localizability estimation to improve the accuracy and robustness of visual SLAM.