Unfolding-Model-Based Visualization: Theory, Method and Applications. - Yunxiao Chen; Zhiliang Ying; Haoran Zhang (J. Mach. Learn. Res., 2021)

A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency. - Yunxiao Chen; Xiaoou Li (CoRR, 2022)

Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power. - Mingliang Bai; Yunxiao Chen; Xinyu Zhao; Jinfu Liu; Daren Yu (Expert Syst. Appl., 2022)

Asymptotically Optimal Sequential Design for Rank Aggregation. - Xi Chen 010; Yunxiao Chen; Xiaoou Li (Math. Oper. Res., 2022)

Optimal Parallel Sequential Change Detection Under Generalized Performance Measures. - Zexian Lu; Yunxiao Chen; Xiaoou Li (IEEE Trans. Signal Process., 2022)

Few-Shot Segmentation Network Robust to Background Interference. - Enze Ji; Yunxiao Chen; Anni Chen; Zhikui Chen (HPCC/DSS/SmartCity/DependSys, 2023)

Deep attention convolutional neural network-based adaptive multi-source information fusion for accurate short-term photovoltaic power forecast. - Mingliang Bai; Yunxiao Chen; Zhihao Zhou; Zhenhua Long; Jinfu Liu; Daren Yu (ISGT EUROPE, 2023)

HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field. - Mingliang Bai; Zhihao Zhou; Ruidong Wang; Yusheng Yang; Zizhen Qin; Yunxiao Chen; Chunjin Mu; Jinfu Liu; Daren Yu (CoRR, 2023)

Statistical Inference for Noisy Incomplete Binary Matrix. - Yunxiao Chen; Chengcheng Li; Jing Ouyang; Gongjun Xu (J. Mach. Learn. Res., 2023)

Accurate four-hour-ahead probabilistic forecast of photovoltaic power generation based on multiple meteorological variables-aided intelligent optimization of numeric weather prediction data. - Mingliang Bai; Zhihao Zhou; Yunxiao Chen; Jinfu Liu; Daren Yu (Earth Sci. Informatics, 2023)

Multivariable space-time correction for wind speed in numerical weather prediction (NWP) based on ConvLSTM and the prediction of probability interval. - Yunxiao Chen; Mingliang Bai; Yilan Zhang; Jinfu Liu; Daren Yu (Earth Sci. Informatics, 2023)

Error revision during morning period for deep learning and multi-variable historical data-based day-ahead solar irradiance forecast: towards a more accurate daytime forecast. - Yunxiao Chen; Mingliang Bai; Yilan Zhang; Jinfu Liu; Daren Yu (Earth Sci. Informatics, 2023)

Deep graph gated recurrent unit network-based spatial-temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial-temporal probabilistic forecast of photovoltaic power. - Mingliang Bai; Zhihao Zhou; Jingjing Li; Yunxiao Chen; Jinfu Liu; Xinyu Zhao; Daren Yu (Expert Syst. Appl., 2024)

Tracked but not trapped: Negotiating body tracking technologies for embodiment and privacy protection in VR. - Kun Xu 006; Yunxiao Chen; Jiayue Li; Tony Liao; Sylvia Chan-Olmsted (Comput. Hum. Behav., 2025)

Deep multi-attribute spatial-temporal graph convolutional recurrent neural network-based multivariable spatial-temporal information fusion for short-term probabilistic forecast of multi-site photovoltaic power. - Mingliang Bai; Guowen Zhou; Peng Yao; Fuxiang Dong 002; Yunxiao Chen; Zhihao Zhou; Xusheng Yang; Jinfu Liu; Daren Yu (Expert Syst. Appl., 2025)

Improved multiple penalty mechanism based loss function for more realistic aeroengine RUL advanced prediction. - Chaojing Lin; Yunxiao Chen; Mingliang Bai; Zhenhua Long; Peng Yao; Jinfu Liu; Daren Yu (Reliab. Eng. Syst. Saf., 2025)

Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications. - Sze Ming Lee; Yunxiao Chen (CoRR, 2025)

Deep multivariable spatial attention CNN-based spatial grid NWP error correction for accurate one-day-ahead photovoltaic power forecast. - Mingliang Bai; Ruidong Wang; Chaojing Lin; Yunxiao Chen; Fuxiang Dong 002; Zhihao Zhou; Xusheng Yang; Jinfu Liu; Daren Yu (Earth Sci. Informatics, 2025)