Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. - Yuntian Chen; Dou Huang; Dongxiao Zhang; Junsheng Zeng; Nanzhe Wang; Haoran Zhang; Jinyue Yan (CoRR, 2020)

Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method. - Yuntian Chen; Dou Huang; Dongxiao Zhang; Junsheng Zeng; Nanzhe Wang; Haoran Zhang 002; Jinyue Yan (J. Comput. Phys., 2021)

Data-Driven Adaptive Operation of Soft Open Points in Active Distribution Networks. - Yanda Huo; Peng Li 014; Haoran Ji; Jinyue Yan; Guanyu Song; Jianzhong Wu; Chengshan Wang (IEEE Trans. Ind. Informatics, 2021)

Peer-to-Peer Electricity Trading of Interconnected Flexible Distribution Networks Based on Distributed Ledger. - Haoran Ji; Jie Jian; Hao Yu; Jie Ji; Mingjiang Wei; Xinmin Zhang; Peng Li 014; Jinyue Yan; Chengshan Wang (IEEE Trans. Ind. Informatics, 2022)

Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling. - Zhiling Guo; Yinqiang Zheng; Haoran Zhang 002; Xiaodan Shi; Zekun Cai; Ryosuke Shibasaki; Jinyue Yan (CoRR, 2023)

Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets. - Zhiling Guo; Xiaodan Shi; Haoran Zhang 002; Dou Huang; Xiaoya Song; Jinyue Yan; Ryosuke Shibasaki (CoRR, 2023)

A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants. - Jian Du; Jianqin Zheng; Yongtu Liang; Qi Liao 001; Bohong Wang; Xu Sun; Haoran Zhang 002; Maher Azaza; Jinyue Yan (Eng. Appl. Artif. Intell., 2023)

Cloud-Edge Collaboration-Based Local Voltage Control for DGs With Privacy Preservation. - Jinli Zhao; Ziqi Zhang; Hao Yu; Haoran Ji; Peng Li 014; Wei Xi; Jinyue Yan; Chengshan Wang (IEEE Trans. Ind. Informatics, 2023)

Deep solar PV refiner: A detail-oriented deep learning network for refined segmentation of photovoltaic areas from satellite imagery. - Rui Zhu; Dongxue Guo; Man Sing Wong; Zhen Qian; Min Chen 008; Bisheng Yang; Bi Yu Chen; Haoran Zhang; Linlin You; Joon Heo; Jinyue Yan (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Learning Social and Physical Compliant Multi-modal Futures. - Xiaodan Shi; Haoran Zhang 002; Ryosuke Shibasaki; Jinyue Yan (ICPR (24), 2024)

Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data. - Yuxiao Hu 003; Qian Li; Xiaodan Shi; Jinyue Yan; Yuntian Chen (CoRR, 2024)

AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model. - Dayin Chen; Xiaodan Shi; Mingkun Jiang; Haoran Zhang 002; Dongxiao Zhang; Yuntian Chen; Jinyue Yan (CoRR, 2024)

Global Estimation of Building-Integrated Facade and Rooftop Photovoltaic Potential by Integrating 3D Building Footprint and Spatio-Temporal Datasets. - Qing Yu; Kechuan Dong; Zhiling Guo; Jiaxing Li; Hongjun Tan; Yanxiu Jin; Jian Yuan; Haoran Zhang; Junwei Liu; Qi Chen; Jinyue Yan (CoRR, 2024)

FMGCN: Federated Meta Learning-Augmented Graph Convolutional Network for EV Charging Demand Forecasting. - Linlin You; Qiyang Chen; Haohao Qu; Rui Zhu; Jinyue Yan; Paolo Santi; Carlo Ratti (IEEE Internet Things J., 2024)

A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy. - Dayin Chen; Xiaodan Shi; Haoran Zhang 002; Xuan Song 001; Dongxiao Zhang; Yuntian Chen; Jinyue Yan (IEEE Trans. Mob. Comput., 2024)

Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series. - Yuxiao Hu 003; Qian Li; Dongxiao Zhang; Jinyue Yan; Yuntian Chen (ICLR, 2025)

GeoAvatar: A big mobile phone positioning data-driven method for individualized pseudo personal mobility data generation. - Peiran Li; Haoran Zhang 002; Wenjing Li 006; Dou Huang; Zhiling Guo; Jinyu Chen; Junxiang Zhang; Xuan Song 001; Pengjun Zhao; Jinyue Yan; Ryosuke Shibasaki; Noboru Koshizuka (Comput. Environ. Urban Syst., 2025)

Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series. - Yuxiao Hu; Qian Li; Dongxiao Zhang; Jinyue Yan; Yuntian Chen (CoRR, 2025)

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods. - Yuji Cao; Huan Zhao 004; Yuheng Cheng; Ting Shu; Yue Chen; Guolong Liu; Gaoqi Liang; Junhua Zhao 001; Jinyue Yan; Yun Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)