Quantitative Analysis Academic Evaluation Based on Attenuation-Mechanism. - Fan Li; Wenli Yu 002; Jinjing Zhang; Li Li 006 (KSEM, 2016)

Stability Analysis of Switched Systems. - Jinjing Zhang; Fan Li; Xiaobin Yang; Li Li 006 (KSEM, 2016)

Context-Aware Topic Modeling for Content Tracking in Social Media. - Jinjing Zhang; Jing Wang; Li Li 006 (APWeb/WAIM (1), 2017)

Research on Image Colorization Algorithm Based on Residual Neural Network. - Pinle Qin; Zirui Cheng; Yuhao Cui; Jinjing Zhang; Qiguang Miao (CCCV (1), 2017)

Learning Image Representation Based on Convolutional Neural Networks. - Zhanbo Yang; Fei Hu 004; Jingyuan Wang; Jinjing Zhang; Li Li 006 (ICONIP (2), 2017)

AEDR: An Adaptive Mechanism to Achieve Online Learning Rate Dynamically. - Jinjing Zhang; Fei Hu 004; Li Li 006; Xiaofei Xu; Zhanbo Yang (ICTAI, 2017)

Remote Monitoring and Control System for Aquarium Based on Mobile Communication Platform. - Wen Ding 002; Yinchi Ma; Jinjing Zhang (CCTA (1), 2017)

Exploring Latent Bundles from Social Behaviors for Personalized Ranking. - Wenli Yu 002; Li Li 006; Fan Li; Jinjing Zhang; Fei Hu 004 (KSEM, 2017)

Modeling Complementary Relationships of Cross-Category Products for Personal Ranking. - Wenli Yu 002; Li Li 006; Fei Hu 004; Fan Li; Jinjing Zhang (WISE (2), 2017)

Content tracking by leveraging hashtag and time information in Twitter social media. - Xiaofei Xu; Li Li 006; Jinjing Zhang; Jing Wang; Shuo He 001 (Web Intell., 2018)

Stochastic gradient descent with variance reduction technique. - Jinjing Zhang; Fei Hu 004; Xiaofei Xu; Li Li 006 (Web Intell., 2018)

Opinion extraction by distinguishing term dependencies and digging deep text features. - Fei Hu 004; Li Li 006; Xiaofei Xu; Jingyuan Wang; Jinjing Zhang (Neural Comput. Appl., 2019)

An adaptive mechanism to achieve learning rate dynamically. - Jinjing Zhang; Fei Hu 004; Li Li 006; Xiaofei Xu; Zhanbo Yang; Yanbin Chen (Neural Comput. Appl., 2019)

A framework combining DNN and level-set method to segment brain tumor in multi-modalities MR image. - Pinle Qin; Jinjing Zhang; Jianchao Zeng 001; Haiyan Liu; Yuhao Cui (Soft Comput., 2019)

Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation. - Lijun Zhao 002; Jinjing Zhang; Fan Zhang; Anhong Wang; Huihui Bai 001; Yao Zhao 001 (CoRR, 2020)

Research on Beijing Consumers' Willingness to Purchase Home Intelligent Aquarium equipment: Based on binary Logisticregression models. - Jinjing Zhang; Kai Lin; Wen Ding 002; Yinchi Ma (ICCIR, 2021)

Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets. - Jinjing Zhang; Jianchao Zeng 001; Pinle Qin; Lijun Zhao 002 (Neurocomputing, 2021)

D2-UTransforIner: Deep Modulated Dual-UTransformer for Multiple Description Image Enhancement. - Congying Cao; Lijun Zhao 002; Jinjing Zhang; Xinlu Wang; Anhong Wang (MIPR, 2022)

SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron. - Jinjing Zhang; Lijun Zhao 002; Jianchao Zeng 001; Pinle Qin (MIUA, 2022)

Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss. - Jinjing Zhang; Lijun Zhao 002; Jianchao Zeng 001; Pinle Qin; Yanbo Wang; Xiaoqing Yu (Expert Syst. Appl., 2022)

LMDC: Learning a multiple description codec for deep learning-based image compression. - Lijun Zhao 002; Jinjing Zhang; Huihui Bai 001; Anhong Wang; Yao Zhao 001 (Multim. Tools Appl., 2022)

Edge-Guided Interpretable Neural Network for Image Compressive Sensing Reconstruction. - Xinlu Wang; Lijun Zhao 002; Jinjing Zhang; Yufeng Zhang; Anhong Wang (ICIG (3), 2023)

A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement. - Lijun Zhao 002; Ke Wang; Jinjing Zhang; Jie Zhao; Anhong Wang (ICIP, 2023)

Explainable Unfolding Network For Joint Edge-Preserving Depth Map Super-Resolution. - Jialong Zhang; Lijun Zhao 002; Jinjing Zhang; Ke Wang; Anhong Wang (ICME, 2023)

WDU-Net: Wavelet-Guided Deep Unfolding Network for Image Compressed Sensing Reconstruction. - Xinlu Wang; Lijun Zhao 002; Jinjing Zhang; Yufeng Zhang; Anhong Wang (PRCV (6), 2023)

Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution. - Jialong Zhang; Lijun Zhao 002; Jinjing Zhang; Bintao Chen; Anhong Wang (PRCV (10), 2023)

Color-Image Guided Depth Map Super-Resolution Based on Iterative Depth Feature Enhancement. - Lijun Zhao 002; Ke Wang; Jinjing Zhang; Jialong Zhang; Anhong Wang (KSII Trans. Internet Inf. Syst., 2023)

Boundary-constrained interpretable image reconstruction network for deep compressive sensing. - Lijun Zhao 002; Xinlu Wang; Jinjing Zhang; Anhong Wang; Huihui Bai 001 (Knowl. Based Syst., 2023)

Learning deep texture-structure decomposition for low-light image restoration and enhancement. - Lijun Zhao 002; Ke Wang; Jinjing Zhang; Anhong Wang; Huihui Bai 001 (Neurocomputing, 2023)

Joint depth map super-resolution method via deep hybrid-cross guidance filter. - Ke Wang; Lijun Zhao 002; Jinjing Zhang; Jialong Zhang; Anhong Wang; Huihui Bai 001 (Pattern Recognit., 2023)

Multi-model Collaboration and Prompt-driven Patent Classification Methods. - Jinjing Zhang; He Ren; Shijing Guo; Jianzhi Sun (CAIBDA, 2024)

RIRO: From Retinex-Inspired Reconstruction Optimization Model to Deep Low-Light Image Enhancement Unfolding Network. - Lijun Zhao 002; Bintao Chen; Jinjing Zhang; Anhong Wang; Huihui Bai 001 (IEEE Trans. Computational Imaging, 2024)

A Wavelet-Domain Consistency-Constrained Compressive Sensing Framework Based on Memory-Boosted Guidance Filtering. - Xinlu Wang; Lijun Zhao 002; Jinjing Zhang; Anhong Wang; Huihui Bai 001 (IEEE Trans. Instrum. Meas., 2024)

Joint Discontinuity-Aware Depth Map Super-Resolution via Dual-Tasks Driven Unfolding Network. - Lijun Zhao 002; Jialong Zhang; Jinjing Zhang; Huihui Bai 001; Anhong Wang (IEEE Trans. Instrum. Meas., 2024)

RFLSE: Joint radiomics feature-enhanced level-set segmentation for low-contrast SPECT/CT tumour images. - Zhaotong Guo; Pinle Qin; Jianchao Zeng 001; Rui Chai; Zhifang Wu; Jinjing Zhang; Jia Qin; Zanxia Jin; Pengcheng Zhao; Yixiong Wang (IET Image Process., 2024)

HNGF-NET: Hybrid Neural-Gabor Fusion Network for Brain Glioma Segmentation. - Hongxin Dong; Zhentang Li; Jinjing Zhang; Pinle Qin; Jianshan Zhang; Fengbo Xie (ICIC (25), 2025)

DMRO-Fusion: Infrared and Visible Image Fusion Based on Recurrent-Octave Auto-Encoder via Two-Level Modulation. - Jinjing Zhang; Pinle Qin; Jianchao Zeng 001; Lijun Zhao 002 (IEEE Trans. Instrum. Meas., 2025)

RV-YOLO: real-time object detection algorithm for rail transit platform scenarios. - Ke Dong; Dongyang Li; Jinjing Zhang; Xinlei Zhao; Lijia Dong; Peng Zhang (J. Real Time Image Process., 2025)

A survey on image compressive sensing: From classical theory to the latest explicable deep learning. - Lijun Zhao 002; Yufeng Zhang; Xinlu Wang; Jinjing Zhang; Huihui Bai 001; Anhong Wang (Pattern Recognit., 2026)