Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting. - Yu Huang 017; Yufei Tang; Hanqi Zhuang; James H. VanZwieten; Laurent M. Chérubin (CoRR, 2020)

Evolutionary Architecture Search for Graph Neural Networks. - Min Shi 001; David A. Wilson; Xingquan Zhu 001; Yu Huang 017; Yuan Zhuang 001; Jianxun Liu 001; Yufei Tang (CoRR, 2020)

GraSSNet: Graph Soft Sensing Neural Networks. - Yu Huang 017; Chao Zhang 050; Jaswanth K. Yella; Sergei Petrov; Xiaoye Qian; Yufei Tang; Xingquan Zhu 001; Sthitie Bom (IEEE BigData, 2021)

IEEE BigData 2021 Cup: Soft Sensing at Scale. - Sergei Petrov; Chao Zhang 050; Jaswanth K. Yella; Yu Huang 017; Xiaoye Qian; Sthitie Bom (IEEE BigData, 2021)

Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned. - Xiaoye Qian; Chao Zhang 050; Jaswanth K. Yella; Yu Huang 017; Ming-Chun Huang; Sthitie Bom (IEEE BigData, 2021)

Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer. - Jaswanth K. Yella; Chao Zhang 050; Sergei Petrov; Yu Huang 017; Xiaoye Qian; Ali A. Minai; Sthitie Bom (IEEE BigData, 2021)

Learning from Failures in Large Scale Soft Sensing. - Chao Zhang 050; Jaswanth K. Yella; Yu Huang 017; Sthitie Bom (IEEE BigData, 2021)

Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word. - Chao Zhang 050; Jaswanth K. Yella; Yu Huang 017; Xiaoye Qian; Sergei Petrov; Andrey Rzhetsky; Sthitie Bom (IEEE BigData, 2021)

GAEN: Graph Attention Evolving Networks. - Min Shi 001; Yu Huang 017; Xingquan Zhu 001; Yufei Tang; Yuan Zhuang 001; Jianxun Liu 001 (IJCAI, 2021)

Deep Learning Based Multi-Label Attack Detection for Distributed Control of AC Microgrids. - Sheik M. Mohiuddin; Junjian Qi; Sasha Fung; Yu Huang 017; Yufei Tang (SmartGridComm, 2021)

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. - Yu Huang 017; Yufei Tang; Xingquan Zhu 001; Min Shi 001; Ali Muhamed Ali; Hanqi Zhuang; Laurent M. Chérubin (CoRR, 2021)

ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting. - Yu Huang 017; James Li; Min Shi 001; Hanqi Zhuang; Xingquan Zhu 001; Laurent M. Chérubin; James H. VanZwieten; Yufei Tang (CoRR, 2021)

Physics-Informed Tensor-Train ConvLSTM for Volumetric Velocity Forecasting of the Loop Current. - Yu Huang 017; Yufei Tang; Hanqi Zhuang; James H. VanZwieten; Laurent M. Chérubin (Frontiers Artif. Intell., 2021)

Mashup tag completion with attention-based topic model. - Min Shi 001; Yufei Tang; Yu Huang 017; Maohua Lin (Serv. Oriented Comput. Appl., 2021)

Real-Time Vertical Path Planning Using Model Predictive Control for an Autonomous Marine Current Turbine. - Arezoo Hasankhani; Yufei Tang; Yu Huang 017; James H. VanZwieten (CCTA, 2022)

Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. - Yu Huang 017; Yufei Tang; Xingquan Zhu 001; Hanqi Zhuang; Laurent M. Chérubin (IEEE Access, 2022)

Reliable machine prognostic health management in the presence of missing data. - Yu Huang 017; Yufei Tang; James H. VanZwieten; Jianxun Liu 001 (Concurr. Comput. Pract. Exp., 2022)

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks. - Min Shi 001; Yufei Tang; Xingquan Zhu 001; Yu Huang 017; David A. Wilson; Yuan Zhuang 001; Jianxun Liu 001 (Knowl. Based Syst., 2022)

Prognostics With Variational Autoencoder by Generative Adversarial Learning. - Yu Huang 017; Yufei Tang; James H. VanZwieten (IEEE Trans. Ind. Electron., 2022)

Soft-Sensing Regression Model: From Sensor to Wafer Metrology Forecasting. - Angzhi Fan; Yu Huang 017; Fei Xu; Sthitie Bom (Sensors, 2023)

Utilitarian Online Learning from Open-World Soft Sensing. - Heng Lian; Yu Huang 017; Xingquan Zhu 001; Yi He 007 (ICDM, 2024)