Single Image Dehazing via Lightweight Multi-scale Networks. - Guiying Tang; Li Zhao 005; Runhua Jiang; Xiaoqin Zhang 002 (IEEE BigData, 2019)

Joint Weighted Tensor Schatten p-Norm and Tensor lp-Norm Minimization for Image Denoising. - Xiaoqin Zhang 002; Jingjing Zheng; Yufang Yan; Li Zhao 005; Runhua Jiang (IEEE Access, 2019)

Feature Fusion Based on Sparse Block for Image Super-resolution. - Shengping Wang; Li Zhao 005; Runhua Jiang; Pengcheng Huang 002; Jiawei Xu 004 (IEEE BigData, 2020)

Structured Dictionary Learning with Block Diagonal Regularization for Image Classification. - Manman Xu; Runhua Jiang; Tao Wang 052; Di Wang 008; Xiaoju Lu (IEEE BigData, 2020)

Multi-level Feature Fusion Network for Single Image Super-Resolution. - Xinxia Zhang; Xiaoqin Zhang 002; Li Zhao 005; Runhua Jiang; Pengcheng Huang 002; Jiawei Xu 004 (IEEE BigData, 2020)

Video Deblurring via Temporally and Spatially Variant Recurrent Neural Network. - Runhua Jiang; Li Zhao 005; Tao Wang 052; Jinxin Wang; Xiaoqin Zhang 002 (IEEE Access, 2020)

Sequence-Dropout Block for Reducing Overfitting Problem in Image Classification. - Ledan Qian; Libing Hu; Li Zhao 005; Tao Wang 052; Runhua Jiang (IEEE Access, 2020)

Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior. - Tao Wang 052; Xiaoqin Zhang 002; Runhua Jiang; Li Zhao 005; Huiling Chen 001; Wenhan Luo (Comput. Vis. Image Underst., 2021)

Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals. - Xiaoqin Zhang 002; Runhua Jiang; Chen-Xiang Fan; Tian-Yu Tong; Tao Wang 052; Peng-Cheng Huang 002 (Int. J. Autom. Comput., 2021)

Self-filtering image dehazing with self-supporting module. - Pengcheng Huang 002; Li Zhao 005; Runhua Jiang; Tao Wang 052; Xiaoqin Zhang 002 (Neurocomputing, 2021)

Attention-based interpolation network for video deblurring. - Xiaoqin Zhang 002; Runhua Jiang; Tao Wang 052; Pengcheng Huang 002; Li Zhao 005 (Neurocomputing, 2021)

Robust feature learning for adversarial defense via hierarchical feature alignment. - Xiaoqin Zhang 002; Jinxin Wang; Tao Wang 052; Runhua Jiang; Jiawei Xu 004; Li Zhao 005 (Inf. Sci., 2021)

Recursive Neural Network for Video Deblurring. - Xiaoqin Zhang 002; Runhua Jiang; Tao Wang 052; Jinxin Wang (IEEE Trans. Circuits Syst. Video Technol., 2021)

Single Image Dehazing via Dual-Path Recurrent Network. - Xiaoqin Zhang 002; Runhua Jiang; Tao Wang 052; Wenhan Luo (IEEE Trans. Image Process., 2021)

Dynamic feature learning for COVID-19 segmentation and classification. - Xiaoqin Zhang 002; Runhua Jiang; Pengcheng Huang 002; Tao Wang 052; Mingjun Hu; Andrew F. Scarsbrook; Alejandro F. Frangi (Comput. Biol. Medicine, 2022)

Multi-Attention Convolutional Neural Network for Video Deblurring. - Xiaoqin Zhang 002; Tao Wang 052; Runhua Jiang; Li Zhao 005; Yuewang Xu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Hierarchical Feature Fusion With Mixed Convolution Attention for Single Image Dehazing. - Xiaoqin Zhang 002; Jinxin Wang; Tao Wang 052; Runhua Jiang (IEEE Trans. Circuits Syst. Video Technol., 2022)

Uncertainty-Aware Variate Decomposition for Self-supervised Blind Image Deblurring. - Runhua Jiang; Yahong Han (ACM Multimedia, 2023)

OraclePoints: A Hybrid Neural Representation for Oracle Character. - Runhua Jiang; Yongge Liu; Boyuan Zhang 003; Xu Chen; Deng Li 003; Yahong Han (ACM Multimedia, 2023)

Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm. - Runhua Jiang; Senqiao Yang; HaoYang Li; Han Wang; Ho-Kin Tang; Sim Kuan Goh (CIS-RAM, 2023)

Dynamic parameterized learning for unsupervised domain adaptation. - Runhua Jiang; Yahong Han (Frontiers Inf. Technol. Electron. Eng., 2023)

Knowledge Fusion By Evolving Weights of Language Models. - Guodong Du 002; Jing Li 034; Hanting Liu; Runhua Jiang; Shuyang Yu; Yifei Guo; Sim Kuan Goh; Ho-Kin Tang (ACL (Findings), 2024)

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network. - Runhua Jiang; Guodong Du 002; Shuyang Yu; Yifei Guo; Sim Kuan Goh; Ho-Kin Tang (IJCNN, 2024)

Parameter Competition Balancing for Model Merging. - Guodong Du 002; Junlin Lee; Jing Li 034; Runhua Jiang; Yifei Guo; Shuyang Yu; Hanting Liu; Sim Kuan Goh; Ho-Kin Tang; Daojing He; Min Zhang 005 (NeurIPS, 2024)

Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks. - Guodong Du 002; Runhua Jiang; Senqiao Yang; Haoyang Li; Wei Chen; Keren Li; Sim Kuan Goh; Ho-Kin Tang (SMC, 2024)

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks. - Guodong Du 002; Runhua Jiang; Senqiao Yang; HaoYang Li; Wei Chen; Keren Li; Sim Kuan Goh; Ho-Kin Tang (CoRR, 2024)

Generalizing to Out-of-Sample Degradations via Model Reprogramming. - Runhua Jiang; Yahong Han (IEEE Trans. Image Process., 2024)

Linking unknown characters via oracle bone inscriptions retrieval. - Feng Gao; Xu Chen; Bang Li; Yongge Liu; Runhua Jiang; Yahong Han (Multim. Syst., 2024)

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer. - Guodong Du 002; Zitao Fang; Jing Li 034; Junlin Li; Runhua Jiang; Shuyang Yu; Yifei Guo; Yangneng Chen; Sim Kuan Goh; Ho-Kin Tang; Daojing He; Honghai Liu 001; et al. (ACL (1), 2025)

Information disentanglement for unsupervised domain adaptive Oracle Bone Inscriptions detection. - Feng Gao; Yongge Liu; Deng Li 003; Xu Chen; Runhua Jiang; Yahong Han (Signal Process. Image Commun., 2025)