Joint Sample Expansion and 1D Convolutional Neural Networks for Tumor Classification. - Jian Liu; Yuhu Cheng 001; Xuesong Wang 001; Yi Kong 001 (ICIC (2), 2017)

Dimensionality Reduction for Hyperspectral Data Based on Pairwise Constraint Discriminative Analysis and Nonnegative Sparse Divergence. - Xuesong Wang 001; Yi Kong 001; Yang Gao; Yuhu Cheng 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Hyperspectral Imagery Classification Based on Semi-Supervised Broad Learning System. - Yi Kong 001; Xuesong Wang 001; Yuhu Cheng 001; C. L. Philip Chen (Remote. Sens., 2018)

Spectral-Spatial Feature Extraction for HSI Classification Based on Supervised Hypergraph and Sample Expanded CNN. - Yi Kong 001; Xuesong Wang 001; Yuhu Cheng 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Low Rank Subspace Clustering via Discrete Constraint and Hypergraph Regularization for Tumor Molecular Pattern Discovery. - Jian Liu; Yuhu Cheng 001; Xuesong Wang 001; Xiaoluo Cui; Yi Kong 001; Junping Du 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Hyperspectral Image Clustering Based on Unsupervised Broad Learning. - Yi Kong 001; Yuhu Cheng 001; C. L. Philip Chen; Xuesong Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Multi-Stage Convolutional Broad Learning with Block Diagonal Constraint for Hyperspectral Image Classification. - Yi Kong 001; Xuesong Wang 001; Yuhu Cheng 001; C. L. Philip Chen (Remote. Sens., 2021)

Spectral-Spatial Joint Classification of Hyperspectral Image Based on Broad Learning System. - Guixin Zhao; Xuesong Wang 001; Yi Kong 001; Yuhu Cheng 001 (Remote. Sens., 2021)

Short-Side Excursion for Oriented Object Detection. - Yuhu Cheng 001; Chengqing Xu; Yi Kong 001; Xuesong Wang 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Graph Domain Adversarial Network With Dual-Weighted Pseudo-Label Loss for Hyperspectral Image Classification. - Yi Kong 001; Xuesong Wang 001; Yuhu Cheng 001; Yang Chen 031; C. L. Philip Chen (IEEE Geosci. Remote. Sens. Lett., 2022)

Zero-Shot Learning Based on Weighted Reconstruction of Hybrid Attribute Groups. - Jiarui Zhang; Ruilin Li; Nannan Yu; Jian Liu; Yi Kong 001 (ICIC (4), 2023)

Bi-Classifier Adversarial Network for Cross-Scene Hyperspectral Image Classification. - Haoyu Wang 008; Yuhu Cheng 001; Xiaomin Liu; Yi Kong 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Graph Dual Adversarial Network for Hyperspectral Image Classification. - Yuhu Cheng 001; Yang Chen 031; Yi Kong 001; C. L. Philip Chen; Xuesong Wang 001 (IEEE Trans. Artif. Intell., 2023)

Soft Instance-Level Domain Adaptation With Virtual Classifier for Unsupervised Hyperspectral Image Classification. - Yuhu Cheng 001; Yang Chen 031; Yi Kong 001; Xuesong Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Discriminator-Quality Evaluation GAN. - Xuesong Wang 001; Ke Jin; Yi Kong 001; C. L. Philip Chen; Yuhu Cheng 001 (IEEE Trans. Multim., 2023)

Joint Classification of Hyperspectral Image and LiDAR Data Based on Spectral Prompt Tuning. - Yi Kong 001; Yuhu Cheng 001; Yang Chen 031; Xuesong Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Image Classification Based on Adaptive Global-Local Feature Fusion. - Chunlan Yang; Yi Kong 001; Xuesong Wang 001; Yuhu Cheng 001 (Remote. Sens., 2024)

Dual-Branch Information Alignment Fusion Network for Hyperspectral Image and LiDAR Data Classification. - Chunlan Yang; Yuhu Cheng 001; Yi Kong 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Joint Classification of Hyperspectral Images and LiDAR Data Based on Candidate Pseudo Labels Pruning and Dual Mixture of Experts. - Yi Kong 001; Shaocai Yu; Yuhu Cheng 001; C. L. Philip Chen; Xuesong Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Alternating Training-based Label Smoothing Enhances Prompt Generalization. - Yang Chen 031; Yanbin Wei; Ke Jin; Yi Kong 001; James T. Kwok; Yu Zhang 006 (CoRR, 2025)