英文论文详见：https://dblp.uni-trier.de/pid/82/6187-3.html
部分论文：
2023
Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian: Multitask Sparse Representation Model-Inspired Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian: Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking. IEEE Trans. Image Process. 32: 2901-2914 (2023)
Zhengwang Xia, Tao Zhou, Saqib Mamoon, Amani Alfakih, Jianfeng Lu: A Structure-Guided Effective and Temporal-Lag Connectivity Network for Revealing Brain Disorder Mechanisms. IEEE J. Biomed. Health Informatics 27(6): 2990-3001 (2023)
Zhenbo Song, Zhenyuan Zhang, Kaihao Zhang, Wenhan Luo, Zhaoxin Fan, Wenqi Ren, Jianfeng Lu: Robust Single Image Reflection Removal Against Adversarial Attacks. CVPR 2023: 24688-24698
2022
Xiaoshuang Sang, Jianfeng Lu, Hong Lu: Consensus graph learning for auto-weighted multi-view projection clustering. Inf. Sci. 609: 816-837 (2022)
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian: SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. IEEE Trans. Image Process. 31: 5469-5483 (2022)
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian: SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. IEEE Trans. Image Process. 31: 5469-5483 (2022)
Zhenbo Song, Jianfeng Lu, Yazhou Yao, Jian Zhang:Self-Supervised Depth Completion From Direct Visual-LiDAR Odometry in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(8): 11654-11665 (2022)
Huafeng Liu, Haofeng Zhang, Jianfeng Lu, Zhenmin Tang:Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global Sample Selection. IEEE Trans. Multim. 24: 1105-1115 (2022)
Feiyi Fang, Yazhou Yao, Tao Zhou, Guo-Sen Xie, Jianfeng Lu:Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 26(11): 5310-5320 (2022)
2021
Xiaoshuang Sang, Hong Lu, Qinghua Zhao, Faen Zhang, Jianfeng Lu: Nonconvex regularizer and latent pattern based robust regression for face recognition. Inf. Sci. 547: 384-403 (2021)
Kaitao Song, Qingkang Huang, Faen Zhang, Jianfeng Lu: Coarse-to-fine: A dual-view attention network for click-through rate prediction. Knowl. Based Syst. 216: 106767 (2021)
Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu: Cross-View Gait Recognition Using Pairwise Spatial Transformer Networks. IEEE Trans. Circuits Syst. Video Technol. 31(1): 260-274 (2021)
Xiaohong Zhang, Yi Chen, Haofeng Zhang, Shuihua Wang, Jianfeng Lu, Jingyu Yang: When Visual Disparity Generation Meets Semantic Segmentation: A Mutual Encouragement Approach. IEEE Trans. Intell. Transp. Syst. 22(3): 1853-1867 (2021)
2020
Hong Lu, Zhu Shen, Xiaoshuang Sang, Qinghua Zhao, Jianfeng Lu: Community detection method using improved density peak clustering and nonnegative matrix factorization. Neurocomputing 415: 247-257 (2020)
Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian: ?3-Net: Feature Fusion and Filtration Network for Object Detection in Optical Remote Sensing Images. Remote. Sens. 12(24): 4027 (2020)
Kaitao Song, Xiu-Shen Wei, Xiangbo Shu, Ren-Jie Song, Jianfeng Lu: Bi-Modal Progressive Mask Attention for Fine-Grained Recognition. IEEE Trans. Image Process. 29: 7006-7018 (2020)
Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu: Gait Recognition from a Single Image Using a Phase-Aware Gait Cycle Reconstruction Network. ECCV (19) 2020: 386-403
Kaitao Song, Xu Tan, Jianfeng Lu: Neural Machine Translation with Error Correction. IJCAI 2020: 3891-3897
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu: MPNet: Masked and Permuted Pre-training for Language Understanding. NeurIPS 2020
2019
Xiangrui Li, Andong Wang, Jianfeng Lu, Zhenmin Tang: Statistical performance of convex low-rank and sparse tensor recovery. Pattern Recognit. 93: 193-203 (2019)
Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu, Qiang Wu: Heritage image annotation via collective knowledge. Pattern Recognit. 93: 204-214 (2019)
Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu: Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks. CVPR 2019: 2956-2964
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu: MASS: Masked Sequence to Sequence Pre-training for Language Generation. ICML 2019: 5926-5936
2018
Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu: Multilabel Image Classification With Regional Latent Semantic Dependencies. IEEE Trans. Multim. 20(10): 2801-2813 (2018)
Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu: Kill Two Birds With One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement. AAAI 2018: 7550-7557
Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu: Double Path Networks for Sequence to Sequence Learning. COLING 2018: 3064-3074
Xiaofeng Han, Chuong V. Nguyen, Shaodi You, Jianfeng Lu: Single Image Water Hazard Detection Using FCN with Reflection Attention Units. ECCV (6) 2018: 105-121
Junjie Zhang, Qi Wu, Chunhua Shen, Jian Zhang, Jianfeng Lu, Anton van den Hengel: Goal-Oriented Visual Question Generation via Intermediate Rewards. ECCV (5) 2018: 189-204
2017
Liantao Wang, Deyu Meng, Xuelei Hu, Jianfeng Lu, Ji Zhao: Instance Annotation via Optimal BoW for Weakly Supervised Object Localization. IEEE Trans. Cybern. 47(5): 1313-1324 (2017)
2016
Sheng Wang, Jianfeng Lu, Xingjian Gu, Benjamin Asubam Weyori, Jing-Yu Yang: Unsupervised discriminant canonical correlation analysis based on spectral clustering. Neurocomputing 171: 425-433 (2016)
Furong Peng, Jianfeng Lu, Yongli Wang, Richard Yi Da Xu, Chao Ma, Jingyu Yang: N-dimensional Markov random field prior for cold-start recommendation. Neurocomputing 191: 187-199 (2016)
Sheng Wang, Jianfeng Lu, Xingjian Gu, Haishun Du, Jing-Yu Yang: Semi-supervised linear discriminant analysis for dimension reduction and classification. Pattern Recognit. 57: 179-189 (2016)
2015
Liantao Wang, Xuelei Hu, Bo Yuan, Jianfeng Lu: Active learning via query synthesis and nearest neighbour search. Neurocomputing 147: 426-434 (2015)
2014
Yanting Lu, Liantao Wang, Jianfeng Lu, Jingyu Yang, Chunhua Shen: Multiple kernel clustering based on centered kernel alignment. Pattern Recognit. 47(11): 3656-3664 (2014)
2012
Q. Tu, Jianfeng Lu, Bo Yuan, J. B. Tang, Jing-Yu Yang: Density-based hierarchical clustering for streaming data. Pattern Recognit. Lett. 33(5): 641-645 (2012)
2011
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jianfeng Lu, Jing-Yu Yang: Graph attribute embedding via Riemannian submersion learning. Comput. Vis. Image Underst. 115(7): 962-975 (2011)
2010
Yanting Lu, Jianfeng Lu, Tianming Liu, Jingyu Yang: Automated Cell Phase Classification for Zebrafish Fluorescence Microscope Images. ICPR 2010: 2584-2587