EMI signal feature enhancement based on extreme energy difference and deep auto-encoder. - Hongyi Li; Shengyu Chen; Shaofeng Xu; Ziming Song; Jiaxin Chen; Di Zhao 001 (IET Signal Process., 2018)

Two-Tier Spectrum Trading Strategy for Heterogeneous Cognitive Radio Networks. - Xiaowen Huang 002; Wenjie Zhang 003; Liwei Yang; Chai Kiat Yeo; Shengyu Chen (ITNAC, 2019)

Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. - Shengyu Chen; Shervin Sammak; Peyman Givi; Joseph P. Yurko; Xiaowei Jia (IEEE BigData, 2021)

Heterogeneous Stream-reservoir Graph Networks with Data Assimilation. - Shengyu Chen; Alison P. Appling; Samantha Oliver; Hayley Corson-Dosch; Jordan S. Read; Jeffrey M. Sadler; Jacob Zwart; Xiaowei Jia (ICDM, 2021)

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. - Xiaowei Jia; Yiqun Xie; Sheng Li 001; Shengyu Chen; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (ICDM, 2021)

Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks. - Shengyu Chen; Jacob A. Zwart; Xiaowei Jia (KDD, 2022)

Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. - Xiaowei Jia; Shengyu Chen; Yiqun Xie; Haoyu Yang; Alison P. Appling; Samantha Oliver; Zhe Jiang 001 (SDM, 2022)

Physics guided neural networks for spatio-temporal super-resolution of turbulent flows. - Tianshu Bao; Shengyu Chen; Taylor T. Johnson; Peyman Givi; Shervin Sammak; Xiaowei Jia (UAI, 2022)

From the whole to detail: Progressively sampling discriminative parts for fine-grained recognition. - Chen Guo; Yaojin Lin; Shengyu Chen; Zhichun Zeng; Mingwen Shao; Shaozi Li (Knowl. Based Syst., 2022)

Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. - Shengyu Chen; Nasrin Kalanat; Simon N. Topp; Jeffrey M. Sadler; Yiqun Xie; Zhe Jiang 001; Xiaowei Jia (CIKM, 2023)

Coordinated Virtual Inertial Control of DFIG with BESS for Frequency Support. - Shengyu Chen; Guidong Zhang; Samson Shenglong Yu; Yun Zhang 001; Zhong Li 001 (ISKE, 2023)

Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. - Shengyu Chen; Yiqun Xie; Xiang Li; Xu Liang; Xiaowei Jia (SDM, 2023)

Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. - Xiaowei Jia; Shengyu Chen; Can Zheng; Yiqun Xie; Zhe Jiang 001; Nasrin Kalanat (SDM, 2023)

Capacity Allocation Optimization Framework for Hydrogen Integrated Energy System Considering Hydrogen Trading and Long-Term Hydrogen Storage. - Luo Weiming; Wu Jiekang; Jinjian Cai; Yunshou Mao; Shengyu Chen (IEEE Access, 2023)

Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement. - Shengyu Chen; Tianshu Bao; Peyman Givi; Can Zheng; Xiaowei Jia (CoRR, 2023)

HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation. - Shengyu Chen; Shihang Feng; Yao Huang; Zhou Lei; Xiaowei Jia; Youzuo Lin; Estaben Rougier (CoRR, 2023)

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. - Shiyuan Luo; Juntong Ni; Shengyu Chen; Runlong Yu; Yiqun Xie; Licheng Liu; Zhenong Jin; Huaxiu Yao; Xiaowei Jia (CoRR, 2023)

Physics-guided machine learning from simulated data with different physical parameters. - Shengyu Chen; Nasrin Kalanat; Yiqun Xie; Sheng Li 001; Jacob A. Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha K. Oliver; Jordan S. Read; Xiaowei Jia (Knowl. Inf. Syst., 2023)

Sybil attack simulation on Enhanced IdAPoS protocol with different network topology. - Shengyu Chen; Shenghao Jin; Yigang Wei; Hui Zhang (IIKI, 2024)

Neighborhood Subgraph-based Illicit Transaction Detection in Cryptocurrency Networks. - Shenghao Jin; Qiwen Yang; Shengyu Chen; Hui Zhang (IIKI, 2024)

Physics-enhanced Neural Operator for Simulating Turbulent Transport. - Shengyu Chen; Peyman Givi; Can Zheng; Xiaowei Jia (CoRR, 2024)

Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement. - Shengyu Chen; Peyman Givi; Can Zheng; Xiaowei Jia (CoRR, 2024)

Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics. - Shengyu Chen; Tianshu Bao; Peyman Givi; Can Zheng; Xiaowei Jia (ACM Trans. Intell. Syst. Technol., 2024)

A Survey of Foundation Models for Environmental Science. - Runlong Yu; Shengyu Chen; Yiqun Xie; Xiaowei Jia (PAKDD (6), 2025)

Estimating daily reference evapotranspiration with reduced data input using ensemble learning models in arid and humid regions of China. - Qi Wei; Qi Wei; Junzeng Xu; Peng Chen; Shengyu Chen; Zihao Liu; Wenhao Qian; Zhiheng Huang; Jingyi Ren; Haoxuan Wang; Yimin Ding; Chao Lei; et al. (Comput. Electron. Agric., 2025)

Foundation Models for Environmental Science: A Survey of Emerging Frontiers. - Runlong Yu; Shengyu Chen; Yiqun Xie; Huaxiu Yao; Jared Willard; Xiaowei Jia (CoRR, 2025)

X-MethaneWet: A Cross-scale Global Wetland Methane Emission Benchmark Dataset for Advancing Science Discovery with AI. - Yiming Sun 004; Shuo Chen; Shengyu Chen; Chonghao Qiu; Licheng Liu; Youmi Oh; Sparkle L. Malone; Gavin McNicol; Qianlai Zhuang; Chris Smith; Yiqun Xie; Xiaowei Jia (CoRR, 2025)