Jing Geng

According to our database, Jing Geng authored at least 19 papers between 2017 and 2026.

Collaborative distances:

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

2026

Adaptive Graph Partitioning for Clustering Datasets with Heterogeneous Density.

Jing Geng, Shangxian Zhao, Wang Weizhe, Qi Li

ACM Trans. Knowl. Discov. Data, February, 2026

DictRoadNet: A Dictionary-Based RNN With Road Network Module for GPS Trajectory Completion.

Wancong Gao, Siyang Mao, Jing Geng, Wei Li, Haohui Sun

IEEE Trans. Intell. Transp. Syst., January, 2026

2025

Adversarial Example Generation With Pseudo-Siamese Adversarial Generative Networks for Multimodal Remote Sensing Images.

Haifeng Li, Hang Cao, Jiahao Cui, Jing Geng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Optimizing the Spatial Layout of Agricultural Irrigation Sprinklers Using Remote Sensing Data: An Adaptive Incremental $K$-Means Clustering Algorithm.

Jing Geng, Shangxian Zhao, Yifei Wang, Qi Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Preprocessing Enhanced Image Compression for Machine Vision.

Guo Lu, Xingtong Ge, Tianxiong Zhong, Qiang Hu, Jing Geng

IEEE Trans. Circuits Syst. Video Technol., December, 2024

Coresets for fast causal discovery with the additive noise model.

Boxiang Zhao, Shuliang Wang, Lianhua Chi, Hanning Yuan, Ye Yuan, Qi Li, Jing Geng, Shao-Liang Zhang

Pattern Recognit., April, 2024

Deep Contrastive Multi-view Clustering Under Semantic Feature Guidance.

Siwen Liu, Hanning Yuan, Ziqiang Yuan, Lianhua Chi, Jinyan Liu, Jing Geng, Shuliang Wang

Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023

HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery.

Boxiang Zhao, Shuliang Wang, Lianhua Chi, Chuanfeng Zhao, Hanning Yuan, Qi Li, Xiaojia Liu, Jing Geng, Ye Yuan

IEEE Trans. Knowl. Data Eng., December, 2023

Causal Discovery via Causal Star Graphs.

Boxiang Zhao, Shuliang Wang, Lianhua Chi, Qi Li, Xiaojia Liu, Jing Geng

ACM Trans. Knowl. Discov. Data, 2023

2022

Learning based Multi-modality Image and Video Compression.

Guo Lu, Tianxiong Zhong, Jing Geng, Qiang Hu, Dong Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

<i>HIBOG</i>: Improving the clustering accuracy by ameliorating dataset with gravitation.

Qi Li, Shuliang Wang, Chuanfeng Zhao, Boxiang Zhao, Xin Yue, Jing Geng

Inf. Sci., 2021

2020

Global and Local Tensor Factorization for Multi-criteria Recommender System.

Shuliang Wang, Jingting Yang, Zhengyu Chen, Hanning Yuan, Jing Geng, Zhen Hai

Patterns, 2020

Support vector machine regression (SVR)-based nonlinear modeling of radiometric transforming relation for the coarse-resolution data-referenced relative radiometric normalization (RRN).

Jing Geng, Wenxia Gan, Jinying Xu, Ruqin Yang, Shuliang Wang

Geo spatial Inf. Sci., 2020

Extracting Skeleton of the Global Terrorism Network Based on m-Modified Topology Potential.

Shuliang Wang, Kanokwan Malang, Hanning Yuan, Aniwat Phaphuangwittayakul, Yuanyuan Lv, Matthew David Lowdermilk, Jing Geng

Complex., 2020

2019

Promoting Geospatial Service from Information to Knowledge with Spatiotemporal Semantics.

Jing Geng, Shuliang Wang, Wenxia Gan, Hanning Yuan, Zeqiang Chen, Ziqiang Yuan, Tianru Dai

Complex., 2019

2018

δ-Open set clustering - A new topological clustering method.

Shuliang Wang, Qi Li, Hanning Yuan, Deren Li, Jing Geng, Chuanfeng Zhao, Yimeng Lei, Chuanlu Liu, Chengfei Liu

WIREs Data Mining Knowl. Discov., 2018

Fast search local extremum for maximal information coefficient (MIC).

Shuliang Wang, Yiping Zhao, Yue Shu, Hanning Yuan, Jing Geng, Shaopeng Wang

J. Comput. Appl. Math., 2018

Clustering by differencing potential of data field.

Shuliang Wang, Shaopeng Wang, Hanning Yuan, Qi Li, Jing Geng, Yang Yu

Computing, 2018

2017

Robust Clustering with Distance and Density.

Hanning Yuan, Shuliang Wang, Jing Geng, Yang Yu, Ming Zhong

Int. J. Data Warehous. Min., 2017