First-year engineering students' self-reported knowledge of nanotechnology - The development of a coding scheme. - Oguz Hanoglu; Kelsey Joy Rodgers; Yi Kong; Krishna Madhavan; Heidi A. Diefes-Dux (FIE, 2014)

Development and validation of a Nano Size and Scale Instrument (NSSI). - Yi Kong; Heidi A. Diefes-Dux; Kelsey Joy Rodgers; Kerrie Anna Douglas; Krishna Madhavan (FIE, 2014)

Mini workshop - Developing engineers for a changing world through modeling and simulation-based pedagogy. - Kelsey Joy Rodgers; Heidi A. Diefes-Dux; Krishna Madhavan; Yi Kong (FIE, 2014)

A Method of Weather Recognition based on Outdoor Images. - Qian Li 014; Yi Kong; Shi-ming Xia (VISAPP (2), 2014)

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

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

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

Spectral-Spatial Feature Extraction for HSI Classification Based on Supervised Hypergraph and Sample Expanded CNN. - Yi Kong; Xuesong Wang 001; Yuhu Cheng (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; Xuesong Wang 001; Xiaoluo Cui; Yi Kong; Junping Du 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Hyperspectral Image Clustering Based on Unsupervised Broad Learning. - Yi Kong; Yuhu Cheng; 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; Xuesong Wang 001; Yuhu Cheng; 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; Yuhu Cheng (Remote. Sens., 2021)

Short-Side Excursion for Oriented Object Detection. - Yuhu Cheng; Chengqing Xu; Yi Kong; 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; Xuesong Wang 001; Yuhu Cheng; 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 (ICIC (4), 2023)

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

Graph Dual Adversarial Network for Hyperspectral Image Classification. - Yuhu Cheng; Yang Chen 031; Yi Kong; 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; Yang Chen 031; Yi Kong; Xuesong Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

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

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

Two Birds With One Stone: Toward Communication and Computation Efficient Federated Learning. - Yi Kong; Wei Yu; Shu Xu 001; Fei Yu 003; Yinfei Xu; Yongming Huang 001 (IEEE Commun. Lett., 2024)

Dual-Branch Information Alignment Fusion Network for Hyperspectral Image and LiDAR Data Classification. - Chunlan Yang; Yuhu Cheng; Yi Kong (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; Shaocai Yu; Yuhu Cheng; C. L. Philip Chen; Xuesong Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

MapAgent: Trajectory-Constructed Memory-Augmented Planning for Mobile Task Automation. - Yi Kong; Dianxi Shi; Guoli Yang; Zhang ke-di; Chenlin Huang; Xiaopeng Li; Songchang Jin (CoRR, 2025)