Yi Wang

30 papers Misc 1Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
An adversarial transformer for anomalous lamb wave pattern detection.
Neural Networks
Jiawei Guo, Sen Zhang, Nikta Amiri, Lingyu Yu, Yi Wang
2025 J jnl
Graphics processing unit-enabled path planning based on global evolutionary dynamic programming and local genetic algorithm optimization.
Appl. Soft Comput.
Junlin Ou, Ge Song, Yi Wang
2025 Misc conf
Make Unseen Clear: Occluder Removal for Complete 3D Pedestrian Detection.
ICASSP
Yan Luo, Zefeng Qian, Chongyang Zhang, Yi Wang, Xiaolei Hu
2025 J jnl
Stgcn-pad: a spatial-temporal graph convolutional network for detecting abnormal pedestrian motion patterns at grade crossings.
Pattern Anal. Appl.
Ge Song, Yu Qian, Yi Wang
2024 J jnl
Artificial neural network-based model predictive visual servoing for mobile robots.
Robotica
Seong Hyeon Hong, Benjamin Albia, Tristan Kyzer, Jackson Cornelius, Eric R. Mark, Asha J. Hall, Yi Wang
2024 J jnl
Constrained optimized dynamic mode decomposition with control for physically stable systems with exogeneous inputs.
J. Comput. Phys.
Jacob Rains, Yi Wang, Alec House, Andrew L. Kaminsky, Nathan A. Tison, Vamshi M. Korivi
2024 J jnl
Railroad missing components detection via cascade region-based convolutional neural network with predefined proposal templates.
Comput. Aided Civ. Infrastructure Eng.
Youzhi Tang, Yi Wang, Yu Qian
2023 J jnl
A low-cost indoor positioning system based on data-driven modeling for robotics research and education.
Robotica
Junlin Ou, Seong Hyeon Hong, Tristan Kyzer, Haizhou Yang, Xianlian Zhou, Yi Wang
2023 J jnl
A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments.
Neural Comput. Appl.
Zhuocheng Jiang, Seong Hyeon Hong, Benjamin Albia, Adrian A. Hood, Asha J. Hall, Jackson Cornelius, Yi Wang
2023 J jnl
A sparse multi-fidelity surrogate-based optimization method with computational awareness.
Eng. Comput.
Haizhou Yang, Yi Wang
2023 J jnl
An adaptively weighted loss-enabled lightweight teacher-student model for real-time railroad inspection on edge devices.
Neural Comput. Appl.
Jiawei Guo, Sen Zhang, Yu Qian, Yi Wang
2023 J jnl
Analysis of abnormal pedestrian behaviors at grade crossings based on semi-supervised generative adversarial networks.
Appl. Intell.
Ge Song, Yu Qian, Yi Wang
2023 J jnl
Energy consumption auditing based on a generative adversarial network for anomaly detection of robotic manipulators.
Future Gener. Comput. Syst.
Ge Song, Seong Hyeon Hong, Tristan Kyzer, Yi Wang
2023 J jnl
GPU-enabled microfluidic design automation for concentration gradient generators.
Eng. Comput.
Seong Hyeon Hong, Jung-Il Shu, Junlin Ou, Yi Wang
2023 J jnl
Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots.
Eng. Appl. Artif. Intell.
Junlin Ou, Seong Hyeon Hong, Ge Song, Yi Wang
2023 J jnl
Multi-fidelity reduced-order model for GPU-enabled microfluidic concentration gradient design.
Eng. Comput.
Haizhou Yang, Seong Hyeon Hong, Gang Wang, Yi Wang
2023 J jnl
Physics-guided neural network and GPU-accelerated nonlinear model predictive control for quadcopter.
Neural Comput. Appl.
Seong Hyeon Hong, Junlin Ou, Yi Wang
2023 J jnl
Real-time dense traffic detection using lightweight backbone and improved path aggregation feature pyramid network.
J. Ind. Inf. Integr.
Feng Guo, Yi Wang, Yu Qian
2022 J jnl
A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossings.
Neural Comput. Appl.
Zhuocheng Jiang, Ge Song, Yu Qian, Yi Wang
2022 J jnl
A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.
Neural Comput. Appl.
Zhuocheng Jiang, Feng Guo, Yu Qian, Yi Wang, W. David Pan
2022 J jnl
A reduced order modeling method based on GNAT-embedded hybrid snapshot simulation.
Math. Comput. Simul.
Feng Bai, Yi Wang
2022 J jnl
Computer vision-based approach for smart traffic condition assessment at the railroad grade crossing.
Adv. Eng. Informatics
Feng Guo, Yi Wang, Yu Qian
2022 J jnl
Correction to: A deep learning-assisted mathematical model for decongestion time prediction at railroad grade crossings.
Neural Comput. Appl.
Zhuocheng Jiang, Feng Guo, Yu Qian, Yi Wang, W. David Pan
2022 J jnl
Dense Traffic Detection at Highway-Railroad Grade Crossings.
IEEE Trans. Intell. Transp. Syst.
Feng Guo, Zhuocheng Jiang, Yi Wang, Chen Chen, Yu Qian
2022 J jnl
GPU-based Global Path Planning Using Genetic Algorithm with Near Corner Initialization.
J. Intell. Robotic Syst.
Junlin Ou, Seong Hyeon Hong, Paul Ziehl, Yi Wang
2020 — conf
Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems.
ICPHM
Jackson Cornelius, Blake Brockner, Seong Hyeon Hong, Yi Wang, Kapil Pant, John E. Ball
2020 — conf
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.
ECCV Workshops (4)
Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu
2014 J jnl
Feature extraction from massive, dynamic computational data based on proper orthogonal decomposition and feature mining.
J. Vis.
Yi Wang, Jing Qian, Hongjun Song, Kapil Pant, H. Q. Yang, Xiang Li, Matthew J. Grismer, José Camberos, Fariba Fahroo
2006 J jnl
Composable Behavioral Models and Schematic-Based Simulation of Electrokinetic Lab-on-a-Chip Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yi Wang, Qiao Lin, Tamal Mukherjee
2006 J jnl
System-Level Simulation of Flow-Induced Dispersion in Lab-on-a-Chip Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Anand S. Bedekar, Yi Wang, S. Krishnamoorthy, Sachin S. Siddhaye, Shankar Sundaram