Yi Kong

According to our database, Yi Kong authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Discriminator-Quality Evaluation GAN.

Xuesong Wang, Ke Jin, Yi Kong, C. L. Philip Chen, Yuhu Cheng

IEEE Trans. Multim., 2023

Soft Instance-Level Domain Adaptation With Virtual Classifier for Unsupervised Hyperspectral Image Classification.

Yuhu Cheng, Yang Chen, Yi Kong, Xuesong Wang

IEEE Trans. Geosci. Remote. Sens., 2023

Graph Dual Adversarial Network for Hyperspectral Image Classification.

Yuhu Cheng, Yang Chen, Yi Kong, C. L. Philip Chen, Xuesong Wang

IEEE Trans. Artif. Intell., 2023

Zero-Shot Learning Based on Weighted Reconstruction of Hybrid Attribute Groups.

Jiarui Zhang, Ruilin Li, Nannan Yu, Jian Liu, Yi Kong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Graph Domain Adversarial Network With Dual-Weighted Pseudo-Label Loss for Hyperspectral Image Classification.

Yi Kong, Xuesong Wang, Yuhu Cheng, Yang Chen, C. L. Philip Chen

IEEE Geosci. Remote. Sens. Lett., 2022

Short-Side Excursion for Oriented Object Detection.

Yuhu Cheng, Chengqing Xu, Yi Kong, Xuesong Wang

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Spectral-Spatial Joint Classification of Hyperspectral Image Based on Broad Learning System.

Guixin Zhao, Xuesong Wang, Yi Kong, Yuhu Cheng

Remote. Sens., 2021

Multi-Stage Convolutional Broad Learning with Block Diagonal Constraint for Hyperspectral Image Classification.

Yi Kong, Xuesong Wang, Yuhu Cheng, C. L. Philip Chen

Remote. Sens., 2021

2019

Hyperspectral Image Clustering Based on Unsupervised Broad Learning.

Yi Kong, Yuhu Cheng, C. L. Philip Chen, Xuesong Wang

IEEE Geosci. Remote. Sens. Lett., 2019

2018

Low Rank Subspace Clustering via Discrete Constraint and Hypergraph Regularization for Tumor Molecular Pattern Discovery.

Jian Liu, Yuhu Cheng, Xuesong Wang, Xiaoluo Cui, Yi Kong, Junping Du

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Spectral-Spatial Feature Extraction for HSI Classification Based on Supervised Hypergraph and Sample Expanded CNN.

Yi Kong, Xuesong Wang, Yuhu Cheng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Hyperspectral Imagery Classification Based on Semi-Supervised Broad Learning System.

Yi Kong, Xuesong Wang, Yuhu Cheng, C. L. Philip Chen

Remote. Sens., 2018

2017

Dimensionality Reduction for Hyperspectral Data Based on Pairwise Constraint Discriminative Analysis and Nonnegative Sparse Divergence.

Xuesong Wang, Yi Kong, Yang Gao, Yuhu Cheng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Joint Sample Expansion and 1D Convolutional Neural Networks for Tumor Classification.

Jian Liu, Yuhu Cheng, Xuesong Wang, Yi Kong

Proceedings of the Intelligent Computing Theories and Application, 2017

2014

A Method of Weather Recognition based on Outdoor Images.

Qian Li, Yi Kong, Shi-ming Xia

Proceedings of the VISAPP 2014, 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

Proceedings of the IEEE Frontiers in Education Conference, 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

Proceedings of the IEEE Frontiers in Education Conference, 2014

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

Proceedings of the IEEE Frontiers in Education Conference, 2014