Recent Progress in Image Deblurring. - Ruxin Wang 002; Dacheng Tao (CoRR, 2014)

Diverse Expected Gradient Active Learning for Relative Attributes. - Xinge You; Ruxin Wang 002; Dacheng Tao (IEEE Trans. Image Process., 2014)

Single Image Superresolution via Directional Group Sparsity and Directional Features. - Xiaoyan Li; Hongjie He; Ruxin Wang 002; Dacheng Tao (IEEE Trans. Image Process., 2015)

Superpixel-guided nonlocal means for image denoising and super-resolution. - Xiaoyan Li; Hongjie He; Ruxin Wang 002; Jun Cheng 002 (Signal Process., 2016)

Multi-View Object Retrieval via Multi-Scale Topic Models. - Richang Hong; Zhenzhen Hu; Ruxin Wang 002; Meng Wang 001; Dacheng Tao (IEEE Trans. Image Process., 2016)

Non-Local Auto-Encoder With Collaborative Stabilization for Image Restoration. - Ruxin Wang 002; Dacheng Tao (IEEE Trans. Image Process., 2016)

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. - Radu Timofte; Eirikur Agustsson; Luc Van Gool; Ming-Hsuan Yang 001; Lei Zhang 006; Bee Lim; Sanghyun Son 002; Heewon Kim; Seungjun Nah; Kyoung Mu Lee; Xintao Wang 002; Yapeng Tian; et al. (CVPR Workshops, 2017)

Coupled Deep Autoencoder for Single Image Super-Resolution. - Kun Zeng; Jun Yu 002; Ruxin Wang 002; Cuihua Li; Dacheng Tao (IEEE Trans. Cybern., 2017)

Deep learning-inspired image quality enhancement - Ruxin Wang 002 (2017)

Face Sketch Synthesis From Coarse to Fine. - Mingjin Zhang; Nannan Wang 001; Yunsong Li 001; Ruxin Wang 002; Xinbo Gao 001 (AAAI, 2018)

A novel skeleton-based action recognition method via cuboid rearranging. - Kaijun Zhu; Ruxin Wang 002; Jun Cheng 002; Dapeng Tao (ICIA, 2018)

Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems. - Kangjian He; Ruxin Wang 002; Dapeng Tao; Jun Cheng 002; Weifeng Liu 001 (IEEE Access, 2018)

Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning. - Huafeng Li; Xiaoge He; Dapeng Tao; Yuanyan Tang; Ruxin Wang 002 (Pattern Recognit., 2018)

Training Very Deep CNNs for General Non-Blind Deconvolution. - Ruxin Wang 002; Dacheng Tao (IEEE Trans. Image Process., 2018)

Multiclass Learning With Partially Corrupted Labels. - Ruxin Wang 002; Tongliang Liu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution. - Yajun Qiu; Ruxin Wang 002; Dapeng Tao; Jun Cheng 002 (ICCV, 2019)

Big Map R-CNN for object detection in large-scale remote sensing images. - Linfei Wang; Dapeng Tao; Ruonan Wang; Ruxin Wang 002; Hao Li (Math. Found. Comput., 2019)

A tensor framework for geosensor data forecasting of significant societal events. - Lihua Zhou; Guowang Du; Ruxin Wang 002; Dapeng Tao; Lizhen Wang 001; Jun Cheng 002; Jing Wang (Pattern Recognit., 2019)

Dual-Transfer Face Sketch-Photo Synthesis. - Mingjin Zhang; Ruxin Wang 002; Xinbo Gao 001; Jie Li 001; Dacheng Tao (IEEE Trans. Image Process., 2019)

Pairwise Similarity Regularization for Adversarial Domain Adaptation. - Haotian Wang 001; Wenjing Yang 002; Ji Wang 001; Ruxin Wang 002; Long Lan; Mingyang Geng (ACM Multimedia, 2020)

Discriminative Dictionary Learning-Based Multiple Component Decomposition for Detail-Preserving Noisy Image Fusion. - Huafeng Li; Yitang Wang; Zhao Yang 001; Ruxin Wang 002; Xiang Li 103; Dapeng Tao (IEEE Trans. Instrum. Meas., 2020)

Receptive Field Size Versus Model Depth for Single Image Super-Resolution. - Ruxin Wang 002; Mingming Gong; Dacheng Tao (IEEE Trans. Image Process., 2020)

A Cuboid CNN Model With an Attention Mechanism for Skeleton-Based Action Recognition. - Kaijun Zhu; Ruxin Wang 002; Qingsong Zhao; Jun Cheng 002; Dapeng Tao (IEEE Trans. Multim., 2020)

Attention-based F-UNet for Remote Sensing Image Fusion. - Pingfan Zhang; Qian Jiang; Li Cai; Ruxin Wang 002; Puming Wang; Xin Jin 005 (HPCC/DSS/SmartCity/DependSys, 2021)

Scientific Rumors Detection in Short Online Texts. - Hui Zeng; Ruxin Wang 002; Yan Huang; Xiaohui Cui; Qian Jiang (SMC, 2021)

EnsembleFool: A method to generate adversarial examples based on model fusion strategy. - Wenyu Peng; Renyang Liu 001; Ruxin Wang 002; Taining Cheng; Zifeng Wu; Li Cai; Wei Zhou 011 (Comput. Secur., 2021)

A Dual-Model Architecture with Grouping-Attention-Fusion for Remote Sensing Scene Classification. - Junge Shen; Tong Zhang; Yichen Wang; Ruxin Wang 002; Qi Wang 009; Min Qi (Remote. Sens., 2021)

Decision-Level Fusion with a Pluginable Importance Factor Generator for Remote Sensing Image Scene Classification. - Junge Shen; Chi Zhang; Yu Zheng; Ruxin Wang 002 (Remote. Sens., 2021)

Towards Query-limited Adversarial Attacks on Graph Neural Networks. - Haoran Li; Jinhong Zhang; Song Gao; Liwen Wu; Wei Zhou 011; Ruxin Wang 002 (ICTAI, 2022)

CASR-Net: A color-aware super-resolution network for panchromatic image. - Ling Liu 001; Qian Jiang; Xin Jin 005; Jia-Nan Feng; Ruxin Wang 002; Hangying Liao; Shin-Jye Lee; Shaowen Yao 001 (Eng. Appl. Artif. Intell., 2022)

An Attention Cascade Global-Local Network for Remote Sensing Scene Classification. - Junge Shen; Tianwei Yu; Haopeng Yang; Ruxin Wang 002; Qi Wang 009 (Remote. Sens., 2022)

Adversarial UV-Transformation Texture Estimation for 3D Face Aging. - Yiqiang Wu; Ruxin Wang 002; Mingming Gong; Jun Cheng 002; Zhengtao Yu 001; Dapeng Tao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Remote Sensing Scene Classification Based on Attention-Enabled Progressively Searching. - Junge Shen; Bin Cao; Chi Zhang; Ruxin Wang 002; Qi Wang 009 (IEEE Trans. Geosci. Remote. Sens., 2022)

LR-SVM+: Learning Using Privileged Information with Noisy Labels. - Zhengning Wu; Xiaobo Xia; Ruxin Wang 002; Jiatong Li; Jun Yu 001; Yinian Mao; Tongliang Liu (IEEE Trans. Multim., 2022)

Abstract Painting Synthesis via Decremental optimization. - Ming Yan; Yuanyuan Pu; Zhengpeng Zhao; Dan Xu 001; Hao Wu; Qiuxia Yang; Ruxin Wang 002 (Comput. Graph. Forum, 2022)

MMID: Combining Maximized the Mutual Information and Diffusion Model for Image Super-Resolution. - Yu Shi; Hu Tan; Song Gao; Yunyun Dong; Wei Zhou 011; Ruxin Wang 002 (ACPR (2), 2023)

Improving the Adversarial Robustness of Object Detection with Contrastive Learning. - Weiwei Zeng; Song Gao; Wei Zhou 011; Yunyun Dong; Ruxin Wang 002 (PRCV (9), 2023)

CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization. - Shuo Ye; Yufeng Shi; Ruxin Wang 002; Yu Wang; Jiamiao Xu; Chuanwu Yang; Xinge You (CoRR, 2023)

Multi-focus image fusion based on gradient tensor HOSVD. - Puming Wang; Ting Cao; Xue Li 009; Xin Jin 005; Peng Liu; Wei Zhou 011; Ruxin Wang 002; Shiyu Chen (J. Electronic Imaging, 2023)

Detecting Adversarial Examples on Deep Neural Networks With Mutual Information Neural Estimation. - Song Gao; Ruxin Wang 002; Xiaoxuan Wang; Shui Yu 001; Yunyun Dong; Shaowen Yao 001; Wei Zhou 011 (IEEE Trans. Dependable Secur. Comput., 2023)

Type-I Generative Adversarial Attack. - Shenghong He; Ruxin Wang 002; Tongliang Liu; Chao Yi; Xin Jin 005; Renyang Liu 001; Wei Zhou 011 (IEEE Trans. Dependable Secur. Comput., 2023)

Securing Deep Learning as a Service Against Adaptive High Frequency Attacks With MMCAT. - Bingbing Song; Ruxin Wang 002; Song Gao; Yunyun Dong; Ling Liu 001; Wei Zhou 011 (IEEE Trans. Serv. Comput., 2023)

Adversarial attacks on multi-focus image fusion models. - Xin Jin 005; Xin Jin 021; Ruxin Wang 002; Shin-Jye Lee; Qian Jiang; Shaowen Yao 001; Wei Zhou 011 (Comput. Secur., 2023)

CNFA: Conditional Normalizing Flow for Query-Limited Attack. - Renyang Liu 001; Wei Zhou 011; Jinhong Zhang; Haoran Li; Ruxin Wang 002 (ICASSP, 2024)

Mitigating Label Noise on Graphs via Topological Sample Selection. - Yuhao Wu; Jiangchao Yao; Xiaobo Xia; Jun Yu 001; Ruxin Wang 002; Bo Han 003; Tongliang Liu (ICML, 2024)

Mitigating Label Noise on Graph via Topological Sample Selection. - Yuhao Wu; Jiangchao Yao; Xiaobo Xia; Jun Yu 001; Ruxin Wang 002; Bo Han 003; Tongliang Liu (CoRR, 2024)

Hiding image with inception transformer. - Yunyun Dong; Ping Wei; Ruxin Wang 002; Bingbing Song; Tingchu Wei; Wei Zhou 011 (IET Image Process., 2024)

An efficient training-from-scratch framework with BN-based structural compressor. - Fuyi Hu; Jin Zhang; Song Gao; Yu Lin; Wei Zhou 011; Ruxin Wang 002 (Pattern Recognit., 2024)

DTA: distribution transform-based attack for query-limited scenario. - Renyang Liu 001; Wei Zhou 011; Xin Jin 005; Song Gao; Yuanyu Wang; Ruxin Wang 002 (Cybersecur., 2024)

A comprehensive review of network pruning based on pruning granularity and pruning time perspectives. - Kehan Zhu; Fuyi Hu; Yuanbing Ding; Wei Zhou 011; Ruxin Wang 002 (Neurocomputing, 2025)