System-Level Simulation of Flow-Induced Dispersion in Lab-on-a-Chip Systems. - Anand S. Bedekar; Yi Wang 070; S. Krishnamoorthy; Sachin S. Siddhaye; Shankar Sundaram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006)

Composable Behavioral Models and Schematic-Based Simulation of Electrokinetic Lab-on-a-Chip Systems. - Yi Wang 070; Qiao Lin; Tamal Mukherjee (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006)

Feature extraction from massive, dynamic computational data based on proper orthogonal decomposition and feature mining. - Yi Wang 070; Jing Qian; Hongjun Song; Kapil Pant; H. Q. Yang; Xiang Li; Matthew J. Grismer; José Camberos; Fariba Fahroo (J. Vis., 2014)

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; et al. (ECCV Workshops (4), 2020)

Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems. - Jackson Cornelius; Blake Brockner; Seong Hyeon Hong; Yi Wang 070; Kapil Pant; John E. Ball (ICPHM, 2020)

Computer vision-based approach for smart traffic condition assessment at the railroad grade crossing. - Feng Guo; Yi Wang 070; Yu Qian (Adv. Eng. Informatics, 2022)

GPU-based Global Path Planning Using Genetic Algorithm with Near Corner Initialization. - Junlin Ou; Seong Hyeon Hong; Paul Ziehl; Yi Wang 070 (J. Intell. Robotic Syst., 2022)

A reduced order modeling method based on GNAT-embedded hybrid snapshot simulation. - Feng Bai; Yi Wang 070 (Math. Comput. Simul., 2022)

A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings. - Zhuocheng Jiang; Feng Guo; Yu Qian; Yi Wang 070; W. David Pan (Neural Comput. Appl., 2022)

Correction to: A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings. - Zhuocheng Jiang; Feng Guo; Yu Qian; Yi Wang 070; W. David Pan (Neural Comput. Appl., 2022)

A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossings. - Zhuocheng Jiang; Ge Song; Yu Qian; Yi Wang 070 (Neural Comput. Appl., 2022)

Dense Traffic Detection at Highway-Railroad Grade Crossings. - Feng Guo; Zhuocheng Jiang; Yi Wang 070; Chen Chen 001; Yu Qian (IEEE Trans. Intell. Transp. Syst., 2022)

Physics-guided neural network and GPU-accelerated nonlinear model predictive control for quadcopter. - Seong Hyeon Hong; Junlin Ou; Yi Wang 070 (Neural Comput. Appl., 2023)

Real-time dense traffic detection using lightweight backbone and improved path aggregation feature pyramid network. - Feng Guo; Yi Wang 070; Yu Qian (J. Ind. Inf. Integr., 2023)

A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments. - Zhuocheng Jiang; Seong Hyeon Hong; Benjamin Albia; Adrian A. Hood; Asha J. Hall; Jackson Cornelius; Yi Wang 070 (Neural Comput. Appl., 2023)

GPU-enabled microfluidic design automation for concentration gradient generators. - Seong Hyeon Hong; Jung-Il Shu; Junlin Ou; Yi Wang 070 (Eng. Comput., 2023)

Multi-fidelity reduced-order model for GPU-enabled microfluidic concentration gradient design. - Haizhou Yang; Seong Hyeon Hong; Gang Wang; Yi Wang 070 (Eng. Comput., 2023)

A low-cost indoor positioning system based on data-driven modeling for robotics research and education. - Junlin Ou; Seong Hyeon Hong; Tristan Kyzer; Haizhou Yang; Xianlian Zhou 001; Yi Wang 070 (Robotica, 2023)

Analysis of abnormal pedestrian behaviors at grade crossings based on semi-supervised generative adversarial networks. - Ge Song; Yu Qian; Yi Wang 070 (Appl. Intell., 2023)

A sparse multi-fidelity surrogate-based optimization method with computational awareness. - Haizhou Yang; Yi Wang 070 (Eng. Comput., 2023)

Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots. - Junlin Ou; Seong Hyeon Hong; Ge Song; Yi Wang 070 (Eng. Appl. Artif. Intell., 2023)

Energy consumption auditing based on a generative adversarial network for anomaly detection of robotic manipulators. - Ge Song; Seong Hyeon Hong; Tristan Kyzer; Yi Wang 070 (Future Gener. Comput. Syst., 2023)

An adaptively weighted loss-enabled lightweight teacher-student model for real-time railroad inspection on edge devices. - Jiawei Guo; Sen Zhang; Yu Qian; Yi Wang 070 (Neural Comput. Appl., 2023)

Artificial neural network-based model predictive visual servoing for mobile robots. - Seong Hyeon Hong; Benjamin Albia; Tristan Kyzer; Jackson Cornelius; Eric R. Mark; Asha J. Hall; Yi Wang 070 (Robotica, 2024)

Constrained optimized dynamic mode decomposition with control for physically stable systems with exogeneous inputs. - Jacob Rains; Yi Wang 070; Alec House; Andrew L. Kaminsky; Nathan A. Tison; Vamshi M. Korivi (J. Comput. Phys., 2024)

Railroad missing components detection via cascade region-based convolutional neural network with predefined proposal templates. - Youzhi Tang; Yi Wang 070; Yu Qian (Comput. Aided Civ. Infrastructure Eng., 2024)

Make Unseen Clear: Occluder Removal for Complete 3D Pedestrian Detection. - Yan Luo 003; Zefeng Qian; Chongyang Zhang; Yi Wang 070; Xiaolei Hu (ICASSP, 2025)

Graphics processing unit-enabled path planning based on global evolutionary dynamic programming and local genetic algorithm optimization. - Junlin Ou; Ge Song; Yi Wang 070 (Appl. Soft Comput., 2025)

An adversarial transformer for anomalous lamb wave pattern detection. - Jiawei Guo; Sen Zhang; Nikta Amiri; Lingyu Yu; Yi Wang 070 (Neural Networks, 2025)

Stgcn-pad: a spatial-temporal graph convolutional network for detecting abnormal pedestrian motion patterns at grade crossings. - Ge Song; Yu Qian; Yi Wang 070 (Pattern Anal. Appl., 2025)