Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification. - Hong Huang 002; Yule Duan; Guangyao Shi; Zhiyong Lv (IEEE Access, 2018)

Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery. - Guangyao Shi; Hong Huang 002; Jiamin Liu; Zhengying Li; Lihua Wang (Remote. Sens., 2019)

Fast Biconnectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance. - Guangyao Shi; Ishat E. Rabban; Pratap Tokekar (CoRR, 2020)

Multi-manifold locality graph preserving analysis for hyperspectral image classification. - Guangyao Shi; Hong Huang 002; Zhengying Li; Yule Duan (Neurocomputing, 2020)

Two-stream feature aggregation deep neural network for scene classification of remote sensing images. - Kejie Xu; Hong Huang 002; Peifang Deng; Guangyao Shi (Inf. Sci., 2020)

Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature Learning. - Guangyao Shi; Hong Huang 002; Lihua Wang (IEEE Geosci. Remote. Sens. Lett., 2020)

Multilayer Feature Fusion Network for Scene Classification in Remote Sensing. - Kejie Xu; Hong Huang 002; Yuan Li 061; Guangyao Shi (IEEE Geosci. Remote. Sens. Lett., 2020)

DLPNet: A deep manifold network for feature extraction of hyperspectral imagery. - Zhengying Li; Hong Huang 002; Yule Duan; Guangyao Shi (Neural Networks, 2020)

Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning. - Hong Huang 002; Guangyao Shi; Haibo He; Yule Duan; Fulin Luo (IEEE Trans. Cybern., 2020)

Local Linear Spatial-Spectral Probabilistic Distribution for Hyperspectral Image Classification. - Hong Huang 002; Yule Duan; Haibo He; Guangyao Shi (IEEE Trans. Geosci. Remote. Sens., 2020)

Communication-Aware Multi-robot Coordination with Submodular Maximization. - Guangyao Shi; Ishat E. Rabban; Lifeng Zhou; Pratap Tokekar (ICRA, 2021)

Local Structure Graph Discriminant Embedding for Hyperspectral Image Classification. - Zehua Zou; Fulin Luo; Jiamin Liu; Guangyao Shi; Yufei Liu (IGARSS, 2021)

Fine-Tuned Deep Convolutional Networks for the Detection of Femoral Neck Fractures on Pelvic Radiographs: A Multicenter Dataset Validation. - Lin Mu; Taiping Qu; Dong Dong; Xiuli Li; Yun Pei 001; Yuchong Wang; Guangyao Shi; Yongrui Li; Fujin He; Huimao Zhang (IEEE Access, 2021)

Modeling the response of negative air ions to environmental factors using multiple linear regression and random forest. - Guangyao Shi; Yu Zhou; Yu-Qiang Sang; Hui Huang; Jin-Song Zhang; Ping Meng; Lu-Lu Cai (Ecol. Informatics, 2021)

Dimensionality Reduction of Hyperspectral Image Based on Local Constrained Manifold Structure Collaborative Preserving Embedding. - Guangyao Shi; Fulin Luo; Yiming Tang; Yuan Li (Remote. Sens., 2021)

Risk-aware UAV-UGV Rendezvous with Chance-Constrained Markov Decision Process. - Guangyao Shi; Nare Karapetyan; Ahmad Bilal Asghar; Jean-Paul Reddinger; James Dotterweich; James Humann; Pratap Tokekar (CDC, 2022)

Interactive Multi-Robot Aerial Cinematography Through Hemispherical Manifold Coverage. - Xiaotian Xu; Guangyao Shi; Pratap Tokekar; Yancy Diaz-Mercado (IROS, 2022)

Risk-aware Resource Allocation for Multiple UAVs-UGVs Recharging Rendezvous. - Ahmad Bilal Asghar; Guangyao Shi; Nare Karapetyan; James Humann; Jean-Paul Reddinger; James Dotterweich; Pratap Tokekar (CoRR, 2022)

Manifold-Based Multi-Deep Belief Network for Feature Extraction of Hyperspectral Image. - Zhengying Li; Hong Huang 002; Zhen Zhang; Guangyao Shi (Remote. Sens., 2022)

Risk-aware Recharging Rendezvous for a Collaborative Team of UAVs and UGVs. - Ahmad Bilal Asghar; Guangyao Shi; Nare Karapetyan; James Humann; Jean-Paul Reddinger; James Dotterweich; Pratap Tokekar (ICRA, 2023)

Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise. - Rui Liu; Guangyao Shi; Pratap Tokekar (IROS, 2023)

Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem. - Guangyao Shi; Pratap Tokekar (IROS, 2023)

Decision-Oriented Intervention Cost Prediction for Multi-robot Persistent Monitoring. - Guangyao Shi; Chak Lam Shek; Nare Karapetyan; Pratap Tokekar (CoRR, 2023)

Pansharpening Method Based on Deep Nonlocal Unfolding. - Xingxing Li; Yujia Li; Guangyao Shi; Liping Zhang; Weisheng Li 001; Dajiang Lei (IEEE Trans. Geosci. Remote. Sens., 2023)

Coordination and Learning Algorithms for Multi-robot Information Gathering. - Guangyao Shi (2023)

Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. - Guangyao Shi; Lifeng Zhou; Pratap Tokekar (IEEE Trans. Robotics, 2023)

Rethinking Representation Learning-Based Hyperspectral Target Detection: A Hierarchical Representation Residual Feature-Based Method. - Tan Guo; Fulin Luo; Yule Duan; Xinjian Huang; Guangyao Shi (Remote. Sens., 2023)

Where to Drop Sensors from Aerial Robots to Monitor a Surface-Level Phenomenon? - Chak Lam Shek; Guangyao Shi; Ahmad Bilal Asghar; Pratap Tokekar (ACC, 2024)

AG-Cvg: Coverage Planning with a Mobile Recharging UGV and an Energy-Constrained UAV. - Nare Karapetyan; Ahmad Bilal Asghar; Amisha Bhaskar; Guangyao Shi; Dinesh Manocha; Pratap Tokekar (ICRA, 2024)

LAVA: Long-horizon Visual Action based Food Acquisition. - Amisha Bhaskar; Rui Liu; Vishnu D. Sharma; Guangyao Shi; Pratap Tokekar (IROS, 2024)

Inverse Submodular Maximization with Application to Human-in-the-Loop Multi-Robot Multi-Objective Coverage Control. - Guangyao Shi; Gaurav S. Sukhatme (IROS, 2024)

From Words to Routes: Applying Large Language Models to Vehicle Routing. - Zhehui Huang; Guangyao Shi; Gaurav S. Sukhatme (CoRR, 2024)

Fast k-connectivity Restoration in Multi-Robot Systems for Robust Communication Maintenance. - Md. Ishat E. Rabban; Guangyao Shi; Griffin Bonner; Pratap Tokekar (CoRR, 2024)

Inverse Risk-sensitive Multi-Robot Task Allocation. - Guangyao Shi; Gaurav S. Sukhatme (CoRR, 2024)

Hierarchical LLMs In-the-loop Optimization for Real-time Multi-Robot Target Tracking under Unknown Hazards. - Yuwei Wu 005; Yuezhan Tao; Peihan Li; Guangyao Shi; Gaurav S. Sukhatme; Vijay Kumar 001; Lifeng Zhou (CoRR, 2024)

Hyperspectral Target Detection With Target Prior Augmentation and Background Suppression-Based Multidetector Fusion. - Tan Guo; Fulin Luo; Jiakun Guo; Yule Duan; Xinjian Huang; Guangyao Shi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

TCDM: Effective Large-Factor Image Super-Resolution via Texture Consistency Diffusion. - Yan Zhang 108; Hanqi Liu; Zhenghao Li; Xinbo Gao 001; Guangyao Shi; Jianan Jiang (IEEE Trans. Geosci. Remote. Sens., 2024)

A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges. - Zongxia Li; Xiyang Wu; Hongyang Du; Fuxiao Liu; Huy Nghiem; Guangyao Shi (CVPR Workshops, 2025)

A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification. - Peng Chen; Wenxuan He; Feng Qian; Guangyao Shi; Jingwen Yan (Digit. Signal Process., 2025)

MDGF-CD: Land-cover change detection with multi-level DiffFormer feature grouping fusion for VHR remote sensing images. - Jamin Liu; Rui Xu; Yule Duan; Tan Guo; Guangyao Shi; Fulin Luo (Inf. Fusion, 2025)

Dimensionality reduction of hyperspectral imagery based on spatial-spectral neighborhood tensor graph embedding. - Guangyao Shi; Wenhao Xiang; Feng Chen (J. Frankl. Inst., 2025)

Patch Tensor-Based Geometric Structure Representation for Hyperspectral Imagery Classification. - Guangyao Shi; Jingwen Yan; Wenhao Xiang; Feng Chen (IEEE Geosci. Remote. Sens. Lett., 2025)

MMD-MLP: LiDAR-Guided Hyperspectral Data Classification Using Local-Global Directional-MLP With Multiresolution Multiscale Representation. - Fulin Luo; Yiyan Hua; Chuan Fu; Tan Guo; Yule Duan; Guangyao Shi (IEEE Trans. Geosci. Remote. Sens., 2025)

Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey. - Zongxia Li; Xiyang Wu; Hongyang Du; Huy Nghiem; Guangyao Shi (CoRR, 2025)

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding. - Zongxia Li; Xiyang Wu; Guangyao Shi; Yubin Qin; Hongyang Du; Tianyi Zhou 001; Dinesh Manocha; Jordan Lee Boyd-Graber (CoRR, 2025)

Compositional Coordination for Multi-Robot Teams with Large Language Models. - Zhehui Huang; Guangyao Shi; Yuwei Wu 005; Vijay Kumar 001; Gaurav S. Sukhatme (CoRR, 2025)

Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach. - Chak Lam Shek; Guangyao Shi; Pratap Tokekar (CoRR, 2025)