Jianing Zhang

According to our database, Jianing Zhang authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

LKAFormer: A Lightweight Kolmogorov-Arnold Transformer Model for Image Semantic Segmentation.

Shoulin Yin, Liguo Wang, Tao Chen, Huafei Huang, Jing Gao, Jianing Zhang, Meng Liu, Peng Li, Chengpei Xu

ACM Trans. Intell. Syst. Technol., June, 2026

2025

Hard Sample Aware Robust Contrastive Learning for Multi-View Clustering.

Yuanzhe Cai, Zhikui Chen, Jing Gao, Peng Li, Jianing Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Dynamic-static Feature Fusion with Multi-scale Attention for Continuous Blood Glucose Prediction.

Jing Gao, Chenhua Guo, Yingshu Liu, Peng Li, Jianing Zhang, Meng Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Deep Multiview Adaptive Clustering With Semantic Invariance.

Jing Gao, Meng Liu, Peng Li, Jianing Zhang, Zhikui Chen

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT.

Jing Gao, Peng Li, Asif Ali Laghari, Gautam Srivastava, Thippa Reddy Gadekallu, Sidra Abbas, Jianing Zhang

ACM Trans. Multim. Comput. Commun. Appl., June, 2024

2023

Deep Reinforcement Clustering.

Peng Li, Jing Gao, Jianing Zhang, Shan Jin, Zhikui Chen

IEEE Trans. Multim., 2023

A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image Segmentation.

Jianing Zhang, Jing Gao, Zhikui Chen, Junyang Zhou, Yingshu Liu, Peng Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine.

Xu Zhang, Zhikui Chen, Jing Gao, Wei Huang, Peng Li, Jianing Zhang

Knowl. Based Syst., 2022

Multimodal Data Fusion.

Zhikui Chen, Liang Zhao, Qiucen Li, Xin Song, Jianing Zhang

Proceedings of the Advances in Computing, Informatics, Networking and Cybersecurity, 2022

2021

Semisupervised Deep Embedded Clustering with Adaptive Labels.

Zhikui Chen, Chaojie Li, Jing Gao, Jianing Zhang, Peng Li

Sci. Program., 2021

A Deep Non-negative Matrix Factorization Model for Big Data Representation Learning.

Zhikui Chen, Shan Jin, Runze Liu, Jianing Zhang

Frontiers Neurorobotics, 2021

Multi-View Representation Learning via Dual Optimal Transportation.

Peng Li, Jing Gao, Bin Zhai, Jianing Zhang, Zhikui Chen

IEEE Access, 2021

2020

A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering.

Peng Li, Zhikui Chen, Jing Gao, Jianing Zhang, Shan Jin, Wenhan Zhao, Feng Xia, Lu Wang

Wirel. Commun. Mob. Comput., 2020

A Survey on Deep Learning for Multimodal Data Fusion.

Jing Gao, Peng Li, Zhikui Chen, Jianing Zhang

Neural Comput., 2020

2019

Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning.

Xu Yuan, Jianing Zhang, Zhikui Chen, Jing Gao, Peng Li

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019