Double-Loop Feedback-Based Scheduling Approach for Distributed Real-Time Systems. - Suzhen Lin; G. Manimaran (HiPC, 2003)

A Novel Value of Paragraph Content Based PageRank Approach. - Jinghao Miao; Suzhen Lin (ICADL, 2003)

ConFiRM-DRTS: A Certification Framework for Dynamic Resource Management in Distributed Real-Time Systems. - Suzhen Lin; A. Sai Sudhir; G. Manimaran (IPDPS, 2003)

A Feedback-Based Adaptive Algorithm for Combined Scheduling with Fault-Tolerance in Real-Time Systems. - Suzhen Lin; G. Manimaran (HiPC, 2004)

Feedback-based Real-time Scheduling in Autonomous Vehicle Systems. - Suzhen Lin; G. Manimaran; B. L. Steward (IEEE Real-Time and Embedded Technology and Applications Symposium, 2004)

On Intangible Learning Resources in E-learning. - Suzhen Lin; Hongyan Li (ICEE, 2010)

FusionInsight LibrA: Huawei's Enterprise Cloud Data Analytics Platform. - Le Cai; Jianjun Chen 001; Jun Chen; Yu Chen; Kuorong Chiang; Marko A. Dimitrijevic; Yonghua Ding; Yu Dong; Ahmad Ghazal; Jacques Hebert; Kamini Jagtiani; Suzhen Lin; et al. (Proc. VLDB Endow., 2018)

A Novel Synchronized Fusion Model for Multi-Band Images. - Bin Wang 082; Guifeng Bai; Suzhen Lin; Yanbo Wang; Jianchao Zeng 001 (IEEE Access, 2019)

基于联合图像块聚类自适应字典学习的多模态医学图像融合 (Multi-modal Medical Image Fusion Based on Joint Patch Clustering of Adaptive Dictionary Learning). - Lifang Wang; Chaoyu Shi; Suzhen Lin; Pinle Qin; Yuan Gao (计算机科学, 2019)

An improved coupled dictionary and multi-norm constraint fusion method for CT/MR medical images. - Lifang Wang; Xia Dong; Xi Cheng; Suzhen Lin (Multim. Tools Appl., 2019)

Convolutional Sparse Representation and Local Density Peak Clustering for Medical Image Fusion. - Lifang Wang; Chaoyu Shi; Suzhen Lin; Pinle Qin; Yanli Wang (Int. J. Pattern Recognit. Artif. Intell., 2020)

Integrating model- and data-driven methods for synchronous adaptive multi-band image fusion. - Suzhen Lin; Ze Han; Dawei Li; Jianchao Zeng 001; Xiaoli Yang; Xinwen Liu 003; Feng Liu 005 (Inf. Fusion, 2020)

Multimodal medical image fusion based on nonsubsampled shearlet transform and convolutional sparse representation. - Lifang Wang; Jieliang Dou; Pinle Qin; Suzhen Lin; Yuan Gao; Ruifang Wang; Jin Zhang (Multim. Tools Appl., 2021)

Latent Representation Learning Model for Multi-Band Images Fusion via Low-Rank and Sparse Embedding. - Bin Wang 082; Huifang Niu; Jianchao Zeng 001; Guifeng Bai; Suzhen Lin; Yanbo Wang (IEEE Trans. Multim., 2021)

Deep Unfolding Network for Multi-Band Images Synchronous Fusion. - Dong Yu; Suzhen Lin; Xiaofei Lu; Dawei Li; Yanbo Wang (IEEE Access, 2023)

Perceptual contrast and residual self-attention generative adversarial network-based for highly under-sampled MRI reconstruction. - Suzhen Lin; Xiaoyu Fan; Fengfei Ma; Feng Liu 005; Lifang Wang; Yanbo Wang; Hualu Qiu (Digit. Signal Process., 2024)

Causality-Driven Infrared and Visible Image Fusion. - Linli Ma; Suzhen Lin; Jianchao Zeng 001; Zanxia Jin; Yanbo Wang; Fengyuan Li; Yubing Luo (CoRR, 2025)