Object Enhancement and Recognition Based on Hough Forest for Underground Video. - Bo Fu 001; Chuan-Ming Song 001 (PAAP, 2014)

Adaptive Centroid-Based Clustering Algorithm for Text Document Data. - Ximing Li 002; Jihong Ouyang; Xiaotang Zhou; Bo Fu 001 (PAAP, 2014)

An image topic model for image denoising. - Bo Fu 001; Weiwei Li; You-Ping Fu; Chuan-Ming Song 001 (Neurocomputing, 2015)

Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs. - Ximing Li 002; Jinjin Chi; Changchun Li; Jihong Ouyang; Bo Fu 001 (COLING, 2016)

A salt and pepper noise image denoising method based on the generative classification. - Bo Fu 001; Xiao-Yang Zhao 003; Yong-Gong Ren; Ximing Li 002; Xiang-Hai Wang 001 (CoRR, 2018)

A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise. - Bo Fu 001; Xiao-Yang Zhao 003; Yi Li; Xiang-Hai Wang 001; Yong-Gong Ren (CoRR, 2018)

Wavelet Video Coding Algorithm Based on Energy Weighted Significance Probability Balancing Tree. - Chuan-Ming Song 001; Bo Fu 001; Xiang-Hai Wang 001; Ming-Zhe Fu (CoRR, 2018)

Image Super-Resolution Using TV Priori Guided Convolutional Network. - Bo Fu 001; Yi Li; Xiang-Hai Wang 001 (CoRR, 2018)

Non-Local Directional-Guided Filter for Impulse-Gaussian Mixed Noise Image Denoising. - Bo Fu 001; Ruizi Wang; Yi Li; Chengdi Xing (ISKE, 2019)

Patch-based contour prior image denoising for salt and pepper noise. - Bo Fu 001; Xiaoyang Zhao 003; Yi Li; XiangHai Wang 001 (Multim. Tools Appl., 2019)

A convolutional neural networks denoising approach for salt and pepper noise. - Bo Fu 001; Xiaoyang Zhao 003; Yi Li; XiangHai Wang 001; Yonggong Ren (Multim. Tools Appl., 2019)

A salt and pepper noise image denoising method based on the generative classification. - Bo Fu 001; Xiaoyang Zhao 003; Chuanming Song 001; Ximing Li 002; Xiang-Hai Wang 001 (Multim. Tools Appl., 2019)

A wavelet video coding algorithm with balanced significance probability tree based on energy weighting. - Chuan-Ming Song 001; Bo Fu 001; Xiang-Hai Wang 001; Ming-Zhe Fu (Multim. Tools Appl., 2019)

Image super-resolution using TV priori guided convolutional network. - Bo Fu 001; Yi Li; Xiang-Hai Wang 001; Yong-gong Ren (Pattern Recognit. Lett., 2019)

Week Texture Information Map Guided Image Super-resolution with Deep Residual Networks. - Bo Fu 001; Liyan Wang; Yuechu Wu; Yufeng Wu; Shilin Fu; Yonggong Ren (CoRR, 2020)

Deep Residual Split Directed Graph Convolutional Neural Networks for Action Recognition. - Bo Fu 001; Shilin Fu; Liyan Wang; Yuhan Dong; Yonggong Ren (IEEE Multim., 2020)

Robust Image Denoising with Texture-Aware Neural Network. - Bo Fu 001; Liyan Wang; Zhongxuan Luo (ICME, 2021)

Underwater Image Restoration and Enhancement via Residual Two-Fold Attention Networks. - Bo Fu 001; Liyan Wang; Ruizi Wang; Shilin Fu; Fangfei Liu; Xin Liu (Int. J. Comput. Intell. Syst., 2021)

Consistent, Balanced, and Overlapping Label Trees for Extreme Multi-label Learning. - Zhiqi Ge; Yuanyuan Guan; Ximing Li 002; Bo Fu 001 (CIKM, 2022)

Single Image Inpainting Method Using Wasserstein Generative Adversarial Networks and Self-attention. - Yuanxin Mao; Tianzhuang Zhang; Bo Fu 001; Dang N. H. Thanh (ICPR Workshops (2), 2022)

Blindfold Attention: Novel Mask Strategy for Facial Expression Recognition. - Bo Fu 001; Yuanxin Mao; Shilin Fu; Yonggong Ren; Zhongxuan Luo (ICMR, 2022)

A Robust Image Denoising Method With Multiview Texture-Aware Convolutional Neural Networks. - Bo Fu 001; Liyan Wang; Zhongxuan Luo (IEEE Multim., 2022)

Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement. - Bo Fu 001; Yuhan Dong; Shilin Fu; Yuanxin Mao; Dang N. H. Thanh (Int. J. Imaging Syst. Technol., 2022)

Weak texture information map guided image super-resolution with deep residual networks. - Bo Fu 001; Liyan Wang; Yuechu Wu; Yufeng Wu; Shilin Fu; Yonggong Ren (Multim. Tools Appl., 2022)

A hybrid attention network with convolutional neural network and transformer for underwater image restoration. - Zhan Jiao; Ruizi Wang; Xiangyi Zhang; Bo Fu 001; Dang Ngoc Hoang Thanh (PeerJ Comput. Sci., 2023)

Multistage supervised contrastive learning for hybrid-degraded image restoration. - Bo Fu 001; Yuhan Dong; Shilin Fu; Yuechu Wu; Yonggong Ren; Dang N. H. Thanh (Signal Image Video Process., 2023)

Few-shot learning for dermatological conditions with Lesion Area Aware Swin Transformer. - Yonggong Ren; Wenqiang Xu; Yuanxin Mao; Yuechu Wu; Bo Fu 001; Dang N. H. Thanh (Int. J. Imaging Syst. Technol., 2023)

Why Misinformation is Created? Detecting them by Integrating Intent Features. - Bing Wang 018; Ximing Li 002; Changchun Li; Bo Fu 001; Songwen Pei; Shengsheng Wang 001 (CIKM, 2024)

Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. - Bo Fu 001; Yunyun Jiang; Di Wang 018; Jiaxin Gao; Cong Wang 018; Ximing Li 002 (IEEE Trans. Instrum. Meas., 2024)

Deep non-blind deblurring network for saturated blurry images. - Bo Fu 001; Shilin Fu; Yuechu Wu; Yuanxin Mao; Yonggong Ren; Dang N. H. Thanh (Neural Comput. Appl., 2024)

Robust Misinformation Detection by Visiting Potential Commonsense Conflict. - Bing Wang 018; Ximing Li 002; Changchun Li; Bingrui Zhao; Bo Fu 001; Renchu Guan; Sheng-Sheng Wang 001 (CoRR, 2025)

Dual visual align-cross attention-based image captioning transformer. - Yonggong Ren; Jinghan Zhang 012; Wenqiang Xu; Yuzhu Lin; Bo Fu 001; Dang N. H. Thanh (Multim. Tools Appl., 2025)

Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors. - Bing Wang 018; Ximing Li 002; Mengzhe Ye; Changchun Li; Bo Fu 001; Jianfeng Qu; Lin Yuanbo Wu (CoRR, 2025)