Cancer Classification Using Ensemble of Error Correcting Output Codes. - Zhihao Zeng; Kun-Hong Liu 001; Zheyuan Wang (ICIC (3), 2014)

Live demonstration: A smart homecage system with behavior analysis and closed-loop optogenetic stimulation capacibilities. - Yaoyao Jia; Zheyuan Wang; S. Abdollah Mirbozorgi; Maysam Ghovanloo (BioCAS, 2015)

A closed-loop wireless homecage for optogenetic stimulation experiments. - Yaoyao Jia; Zheyuan Wang; S. Abdollah Mirbozorgi; Maysam Ghovanloo (BioCAS, 2015)

Towards a kinect-based behavior recognition and analysis system for small animals. - Zheyuan Wang; S. Abdollah Mirbozorgi; Maysam Ghovanloo (BioCAS, 2015)

A wirelessly-powered homecage with animal behavior analysis and closed-loop power control. - Yaoyao Jia; Zheyuan Wang; Daniel Canales; Morgan Tinkler; Chia-Chun Hsu; Teresa E. Madsen; S. Abdollah Mirbozorgi; Donald Rainnie; Maysam Ghovanloo (EMBC, 2016)

Object detection capability evaluation for SAR image. - Zheyuan Wang; Yuanxiang Li; Fangjie Yu; Wenxian Yu; Zhuhui Jiang; Yongke Ding (IGARSS, 2016)

An automated tracking system for Y-maze behavioral test using kinect depth imaging. - Zheyuan Wang; Kevin Murnane; Maysam Ghovanloo (BioCAS, 2017)

Big-video mining of road appearances in full spectrums of weather and illuminations. - Guo Cheng; Zheyuan Wang; Jiang Yu Zheng (ITSC, 2017)

All weather road edge identification based on driving video mining. - Zheyuan Wang; Guo Cheng; Jiang Yu Zheng (ITSC, 2017)

Position and Orientation Insensitive Wireless Power Transmission for EnerCage-Homecage System. - Yaoyao Jia; S. Abdollah Mirbozorgi; Zheyuan Wang; Chia-Chun Hsu; Teresa E. Madsen; Donald Rainnie; Maysam Ghovanloo (IEEE Trans. Biomed. Eng., 2017)

Deep Convolutional Neural Networks for Automated Convulsion Scoring using RGB-D Images. - Zheyuan Wang; Maysam Ghovanloo; Azizi Ray; Kevin S. Murnane (BioCAS, 2018)

An automated behavior analysis system for freely moving rodents using depth image. - Zheyuan Wang; S. Abdollah Mirbozorgi; Maysam Ghovanloo (Medical Biol. Eng. Comput., 2018)

Modeling Weather and Illuminations in Driving Views Based on Big-Video Mining. - Guo Cheng; Zheyuan Wang; Jiang Yu Zheng (IEEE Trans. Intell. Veh., 2018)

Visual Counting of Traffic Flow from a Car via Vehicle Detection and Motion Analysis. - Kevin Kolcheck; Zheyuan Wang; Haiyan Xu; Jiang Yu Zheng (ACPR (1), 2019)

Learning to Dynamically Coordinate Multi-Robot Teams in Graph Attention Networks. - Zheyuan Wang; Matthew C. Gombolay (CoRR, 2019)

Road Edge Detection in All Weather and Illumination via Driving Video Mining. - Zheyuan Wang; Guo Cheng; Jiang Yu Zheng (IEEE Trans. Intell. Veh., 2019)

Detecting Vehicle Interactions in Driving Videos via Motion Profiles. - Zheyuan Wang; Jiang Yu Zheng; Zhen Gao (ITSC, 2020)

Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data. - Frank Bieder; Sascha Wirges; Johannes Janosovits; Sven Richter; Zheyuan Wang; Christoph Stiller (IV, 2020)

Heterogeneous Graph Attention Networks for Scalable Multi-Robot Scheduling with Temporospatial Constraints. - Zheyuan Wang; Matthew C. Gombolay (Robotics: Science and Systems, 2020)

Learning Scheduling Policies for Multi-Robot Coordination With Graph Attention Networks. - Zheyuan Wang; Matthew C. Gombolay (IEEE Robotics Autom. Lett., 2020)

Planning Autonomous Driving with Compact Road Profiles. - Zheyuan Wang; Guo Cheng; Jiang Yu Zheng (ITSC, 2021)

Heterogeneous Graph Attention Networks for Learning Diverse Communication. - Esmaeil Seraj; Zheyuan Wang; Rohan R. Paleja; Matthew Sklar; Anirudh Patel; Matthew C. Gombolay (CoRR, 2021)

Stochastic Resource Optimization over Heterogeneous Graph Neural Networks for Failure-Predictive Maintenance Scheduling. - Zheyuan Wang; Matthew C. Gombolay (ICAPS, 2022)

Learning Efficient Diverse Communication for Cooperative Heterogeneous Teaming. - Esmaeil Seraj; Zheyuan Wang; Rohan R. Paleja; Daniel Martin; Matthew Sklar; Anirudh Patel; Matthew C. Gombolay (AAMAS, 2022)

Scale Attention Mechanism. - Zheyuan Wang; Yingchi Mao; Shuai Zhang; Yong Qian; Zeyu Zhang; Zhihao Chen (BigDataService, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation. - Batuhan Altundas; Zheyuan Wang; Joshua Bishop; Matthew C. Gombolay (IROS, 2022)

Heterogeneous graph attention networks for scalable multi-robot scheduling with temporospatial constraints. - Zheyuan Wang; Chen Liu; Matthew C. Gombolay (Auton. Robots, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CoRR, 2022)

FeNet: Feature Enhancement Network for Lightweight Remote-Sensing Image Super-Resolution. - Zheyuan Wang; Liangliang Li 001; Yuan Xue; Chenchen Jiang; Jiawen Wang; Kaipeng Sun; Hongbing Ma (IEEE Trans. Geosci. Remote. Sens., 2022)

A2M: An Amplification-Arbitrary Module for Remote Sensing Image Super-Resolution. - Yuan Xue; Zheyuan Wang; Liangliang Li 001; Hongbing Ma (IEEE Geosci. Remote. Sens. Lett., 2023)

Learning Dynamic Priority Scheduling Policies with Graph Attention Networks. - Zheyuan Wang (2023)

Rydberg Atoms Enabled Miniaturization of Quantum State OAM On-Off Keying System. - Zheyuan Wang; Chao Zhang (ICC Workshops, 2024)

Power Reuse Green Communication Technology Using Vortex Electromagnetic Waves. - Zheyuan Wang; Chao Zhang (ICC Workshops, 2024)

Lightweight Remote Sensing Image Super-Resolution via Background-Based Multiscale Feature Enhancement Network. - Tianren Wu; Rundong Zhao; Ming Lv; Zhenhong Jia; Liangliang Li 001; Zheyuan Wang; Hongbing Ma (IEEE Geosci. Remote. Sens. Lett., 2024)

A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children. - Ziyi Qi; Tingyao Li; Jun Chen 005; Jason C. Yam; Yang Wen; Gengyou Huang; Hua Zhong; Mingguang He; Dan Zhu; Rongping Dai; Bo Qian; Jingjing Wang; et al. (npj Digit. Medicine, 2024)

Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination. - Esmaeil Seraj; Rohan R. Paleja; Luis Pimentel; Kin Man Lee; Zheyuan Wang; Daniel Martin; Matthew Sklar; John Z. Zhang; Zahi M. Kakish; Matthew C. Gombolay (IEEE Trans. Robotics, 2024)

A Progressive Local Variance-guided Strategy for Improving Data Augmentation Reliability. - Zheyuan Wang; Ziyao Meng; Dezhi Wu; Haoran Liao; Tianyi Wang; Hao Shen; Jiajia Li 004; Haitao Song (ICASSP, 2025)

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images. - Bo Qian; Xiangning Wang; Zhouyu Guan; Dawei Yang; An-ran Ran; Tingyao Li; Zheyuan Wang; Yang Wen; Xinming Shu; Jinyang Xie; Shichang Liu; Guanyu Xing; et al. (Vis. Comput., 2025)

MSPAN: lightweight image super-resolution with multi-semantic guidance. - Zheyuan Wang; Ziyao Meng; Yiming Qin (Vis. Comput., 2025)