Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning. - Xu Yuan 002; Jianing Zhang 001; Zhikui Chen; Jing Gao 007; Peng Li 027 (DASC/PiCom/DataCom/CyberSciTech, 2019)

A Survey on Deep Learning for Multimodal Data Fusion. - Jing Gao 007; Peng Li 027; Zhikui Chen; Jianing Zhang 001 (Neural Comput., 2020)

A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering. - Peng Li 027; Zhikui Chen; Jing Gao 007; Jianing Zhang 001; Shan Jin 003; Wenhan Zhao; Feng Xia 001; Lu Wang (Wirel. Commun. Mob. Comput., 2020)

Multi-View Representation Learning via Dual Optimal Transportation. - Peng Li 027; Jing Gao 007; Bin Zhai; Jianing Zhang 001; Zhikui Chen (IEEE Access, 2021)

A Deep Non-negative Matrix Factorization Model for Big Data Representation Learning. - Zhikui Chen; Shan Jin 003; Runze Liu; Jianing Zhang 001 (Frontiers Neurorobotics, 2021)

Semisupervised Deep Embedded Clustering with Adaptive Labels. - Zhikui Chen; Chaojie Li; Jing Gao 007; Jianing Zhang 001; Peng Li 027 (Sci. Program., 2021)

Multimodal Data Fusion. - Zhikui Chen; Liang Zhao 005; Qiucen Li; Xin Song; Jianing Zhang 001 (Honoring Professor Mohammad S. Obaidat, 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 007; Wei Huang; Peng Li 027; Jianing Zhang 001 (Knowl. Based Syst., 2022)

A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image Segmentation. - Jianing Zhang 001; Jing Gao 007; Zhikui Chen; Junyang Zhou; Yingshu Liu; Peng Li 027 (BIBM, 2023)

Deep Reinforcement Clustering. - Peng Li 027; Jing Gao 007; Jianing Zhang 001; Shan Jin 003; Zhikui Chen (IEEE Trans. Multim., 2023)

Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT. - Jing Gao 007; Peng Li 027; Asif Ali Laghari; Gautam Srivastava 001; Thippa Reddy Gadekallu; Sidra Abbas; Jianing Zhang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Deep Multiview Adaptive Clustering With Semantic Invariance. - Jing Gao 007; Meng Liu 025; Peng Li 027; Jianing Zhang 001; Zhikui Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic-static Feature Fusion with Multi-scale Attention for Continuous Blood Glucose Prediction. - Jing Gao 007; Chenhua Guo; Yingshu Liu; Peng Li 027; Jianing Zhang 001; Meng Liu 025 (ICASSP, 2025)

Hard Sample Aware Robust Contrastive Learning for Multi-View Clustering. - Yuanzhe Cai; Zhikui Chen; Jing Gao 007; Peng Li 027; Jianing Zhang 001 (ICASSP, 2025)

LKAFormer: A Lightweight Kolmogorov-Arnold Transformer Model for Image Semantic Segmentation. - Shoulin Yin; Liguo Wang 001; Tao Chen 002; Huafei Huang 001; Jing Gao 007; Jianing Zhang 001; Meng Liu 025; Peng Li 027; Chengpei Xu (ACM Trans. Intell. Syst. Technol., 2026)