论文著作

▶2024

• Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin, Haonan Su. CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024).

  https://ojs.aaai.org/index.php/AAAI/article/view/28627

• 肖照林, 苏展, 左逢源, 金海燕. 隐特征监督的孪生网络弱光光流估计，中国图象图形学报, 2024, 29(1): 231-242.

  http://www.cjig.cn/jig/ch/reader/view_abstract.aspx?file_no=230093&flag=1

▶2023

• Haiyan Jin, Ningmin Cui, Lei Cai, et. al. State-of-health estimation for lithium-ion batteries with hierarchical feature construction and auto-configurable Gaussian process regression [J]. Energy, 2023, 262: 125503. (ESI高被引)

  https://www.sciencedirect.com/science/article/abs/pii/S0360544222023854

• Haiyan Jin, Yue Yang, Haonan Su, et al. Low Light RGB and IR Image Fusion with Selective CNN-Transformer Network. ICIP 2023.

  https://ieeexplore.ieee.org/document/10222611

• 肖照林, 孙彤鑫, 张晶瑞, 金海燕. 油画相似度的表面光场特征点分布鉴别. 中国图象图形学报, 2023, 28(10): 3123-3135.

  http://www.cjig.cn/jig/ch/reader/view_abstract.aspx?file_no=220774&flag=1

• Lei Cai, Ningmin Cui, Haiyan Jin, Jinhao Meng, Shengxiang Yang, Jichang Peng, Xinchao Zhao. A Unified Deep Learning Optimization Paradigm for Lithium-Ion Battery State-of-Health Estimation. IEEE Transactions on Energy Conversion, 2023, (7):1-12.

  https://ieeexplore.ieee.org/document/10180053

• Jin Haiyan, Wang Qiaobin, Su Haonan, Xiao Zhaolin. Event-guided low light image enhancement via a dual branch GAN. Journal of Visual Communication and Image Representation (JVCIR), 2023. 95:

  https://www.sciencedirect.com/science/article/abs/pii/S1047320323001372

• Qiaobin Wang, Haiyan Jin, Haonan Su, Zhaolin Xiao. Event-Guided Attention Network for Low Light Image Enhancement. IJCNN 2023.

  https://ieeexplore.ieee.org/document/10191272

• Haiyan Jin, Dawei Wei, Haonan Su. Deep Low Light Image Enhancement Via Multi-Scale Recursive Feature Enhancement and Curve Adjustment. ICASSP 2023.

  https://ieeexplore.ieee.org/document/10095243

• Zhaolin Xiao, Yinhai Liu, Haiyan Jin, Christine Guillemot. ZEPI-Net: Light Field Super Resolution via Internal Cross-scale Epipolar Plane Image Zero-shot Learning, Neural Processing Letters, 2023, 55: 1649-1662.

  https://link.springer.com/article/10.1007/s11063-022-10955-x

▶2022

• Zhang Meng, Jin Haiyan, Xiao Zhaolin, Guillemot Christine. A Light Field FDL-HCGH Feature in Scale-Disparity Space[J]. IEEE Transactions on Image Processing, 2022, 31, 6164-6174. (SCI: 000861430300002)

  https://ieeexplore.ieee.org/document/9895181

• 金海燕, 肖照林, 蔡磊, 等. 显著性目标检测理论与应用研究综述[J]. 计算机技术与发展, 2022, 32(09): 1-7.

  https://bhxb.buaa.edu.cn/bhzk/cn/article/Y2021/I3/441

• Haonan Su, Long Yu, Cheolkon Jung. Joint Contrast Enhancement and Noise Reduction of Low Light Images Via JND Transform, IEEE Transactions on Multimedia, 2022, 24: 17-32

  https://ieeexplore.ieee.org/abstract/document/9289000

• 肖照林,杨志林,刘欢,金海燕.面向旷场实验视频分类的特征拼接矩阵学习方法[J].中国图象图形学报,v.27;No.311(03):988-1000.（2022）

  http://www.cjig.cn/jig/ch/reader/view_abstract.aspx?file_no=20220326

• Zhaolin Xiao,Huan Liu,Haiyan Jin.COLF-GAN: Learning to axial super-resolve focal stacks[J]. IET Image Processing. v16,No.(7): 1949-1958, 2022.(SCI 000762017800001)

  https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/ipr2.12460

• Zhaolin Xiao, Jinglei Shi, Xiaoran Jiang, Christine Guillemot. Axial refocusing precision model with light fields[J]. Signal Processing: Image Communication. accepted,2022

  https://www.sciencedirect.com/science/article/abs/pii/S092359652200056X

• Z Xiao, Y Liu, X Yang, H Jin, C Guillemot. Light field super resolution via internal cross-scale EPIs feature learning[J].NEPL2022

▶2021

• Zhaolin Xiao*, Jinglei Shi, Xiaoran Jiang, Christine Guillemot, A learning-based view extrapolation method for axial super-resolution[J]. Neurocomputing 455(30): 229-241(2021) （SCI 000672811100002）

  https://www.sciencedirect.com/science/article/abs/pii/S0925231221008092

• Z. Xiao, M. Zhang, H. Jin and C. Guillemot, "A Light Field FDL-HSIFT Feature in Scale-Disparity Space," 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 1549-1553, doi: 10.1109/ICIP42928.2021.9506361.

  https://ieeexplore.ieee.org/document/9506361

• 金海燕,曹甜,肖聪,肖照林.基于多特征图像视觉显著性的视频摘要化生成[J].北京航空航天大学学报,2021,47(03):441-450.

  https://kns.cnki.net/kcms/detail/detail.aspx?doi=10.13700/j.bh.1001-5965.2020.0479

▶2020

• Zhaolin Xiao, Huan Liu, Guoqing Zhou, Feng Zhu, Haiyan Jin*. Behavioral features fusion for ethological CNN classification of open field test videos [J]. Multimedia Tools and Applications. 2020. (SCI: 000526205900001)

  https://link.springer.com/article/10.1007/s11042-020-08858-x

• Jinhao Meng, Lei Cai, Daniel-Ioan Stroe, Junpeng Ma, Guangzhao Luo， Remus Teodorescu. “An Optimized Ensemble Learning Framework for Lithium-Ion Battery State of Health Estimation in Energy Storage System”. Energy . 206. Sep: 118140.

  https://doi.org/10.1016/j.energy.2020.118140

• Lei Cai, Jinhao Meng, Daniel-Ioan Stroe, Jichang Peng, Guangzhao Luo, and Remus Teodorescu. “Multi-objective Optimization of Data-driven Model for Lithium-ion Battery SOH estimation with Short-term Feature.” IEEE Transactions on Power Electronics, doi: 10.1109/TPEL.2020.2987383.

  https://ieeexplore.ieee.org/document/9069426

• Junfei Shi, Haiyan Jin, Zhaolin Xiao, A Novel Hybrid Edge Detection Method for PolSAR Images [J]. IEEE Access, 2020,8: 8974 – 8991. (SCI)

  https://www.researchgate.net/publication/338440725_A_Novel_Hybrid_Edge_Detection_Method_for_Polarimetric_SAR_Images

▶2019

• Haonan Su, Cheolkon Jung, Lu Wang, Shuyao Wang, Yuanjia Du. Adaptive Tone Mapping for Display Enhancement under Ambient Light Using Constrained Optimization, Displays, 2019, 56: 11-22

  https://www.sciencedirect.com/science/article/abs/pii/S0141938216301123

• Haiyan Jin, Le Xie, Zhaolin Xiao, Ting Zhou. Classification for Human Balance Capacity Based on Visual Stimulation under a Virtual Reality Environment. Sensors, vol. 19, no. 12, pp. 2738, 2019. (SCI检索：000473762500090, IF: 3.031)

  https://www.mdpi.com/1424-8220/19/12/2738/xml

• Zhaolin Xiao, Meng Zhang, Lisheng Chen, Haiyan Jin. Detection and segmentation of underwater CW-like signals in spectrum image under strong noise background. Journal of Visual Communication and Image Representation, vol. 60, pp. 287-294, 2019. (SCI检索：000464088000031)

  https://www.researchgate.net/publication/331469336_Detection_and_segmentation_of_underwater_CW-like_signals_in_spectrum_image_under_strong_noise_background

• Yang X , Guo B , Xiao Z , et al. Improved structure tensor for fine-grained texture inpainting[J]. Signal Processing Image Communication, 2019, 73, pp: 84-95. SCI, IF= 2.814 WOS:000463307000009

  https://www.researchgate.net/publication/323130502_Improved_structure_tensor_for_fine-grained_texture_inpainting

▶2018

• Junfei Shi, Haiyan Jin, Yinghui Wang, Zhiyong Lv, Lu Liu, Latent Topic Model Based Multi-feature Learning for PolSAR Terrain Classification[C], Internatioal conference on E-learning & Games. Springer, Xi'an, China, Jun. 2018.(EI)

  https://link.springer.com/chapter/10.1007/978-3-030-23712-7_34

• Haonan Su, Cheolkon Jung, Shuyao Wang, Yuanjia Du. Readability Enhancement of Displayed Images Under Ambient Light, IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28(7): 1481-1496

  https://ieeexplore.ieee.org/abstract/document/7869336

• Haonan Su, Cheolkon Jung. Multi-Spectral Fusion and Denoising of RGB and NIR Images Usin g Multi-Scale Wavelet Analysis, International Conference on Pattern Recognition, 2018, 1779-1784

  https://ieeexplore.ieee.org/abstract/document/8545108

• Haiyan Jin, Meng Zhang, Zhaolin Xiao, Yaning Li. Multi-sensor image fusion based on contrast and directional features optimization. International Journal of Distributed Sensors Networks, vol. 14, no. 12, pp. 1-13, 2018. (SCI 检索：000452886100001)

  https://www.researchgate.net/publication/329511934_Multi-sensor_image_fusion_based_on_contrast_and_directional_features_optimization

▶2017

• Zhaolin Xiao#*, Lipeng Si, Guoqing Zhou. Seeing beyond foreground occlusion: A joint framework for SAP based scene depth and appearance reconstruction[J]. IEEE Journal of Selected Topics in Signal Processing（IEEE JSTSP）. 11(7), pp:979-991.(2017)（SCI:000413944400005）

  https://www.researchgate.net/publication/317556917_Seeing_Beyond_Foreground_Occlusion_A_Joint_Framework_for_SAP-Based_Scene_Depth_and_Appearance_Reconstruction

• Zhaolin Xiao#, Qing Wang*, Guoqing Zhou, Jingyi Yu. Aliasing Detection and Reduction Scheme on Angularly Undersampled Light Fields[J]. IEEE Transactions on Image Processing（IEEE TIP）. 26(5), pp:2103-2115.( 2017) (SCI:000399396400003)

  https://dl.acm.org/doi/10.1109/TIP.2017.2668613

• Haonan Su, Cheolkon Jung. Low light image enhancement based on two-step noise suppression, IEEE International Conference on Acoustics, Speech and Signal Processing, 2017, 1977-1981

  https://ieeexplore.ieee.org/abstract/document/7952502

• Yang X , Guo B . Fractional-order tensor regularisation for image inpainting[J]. IET Image Processing, 2017, 11(9):734-745. SCI, IF=1.401 WOS:000410158000009

  https://ieeexplore.ieee.org/document/8031511

▶2016及之前

• Jin Haiyan, Li Yaning, Xing Bei, Wang Lei. A geometric image segmentation method based on a bi-convex, fuzzy, variational principle with teaching-learning optimization. Journal of Intelligent & Fuzzy Systems, vol. 31, 6, pp. 3075-3081, 2016 (SCI 检索：000392354800038)

  https://www.researchgate.net/publication/311479222_A_geometric_image_segmentation_method_based_on_a_bi-convex_fuzzy_variational_principle_with_teaching-learning_optimization

• Haiyan Jin, Bei Xing, Lei Wang, Yanyan Wang. Fusion of remote sensing images based on pyramid decomposition with Baldwinian Clonal Selection Optimization. Infrared Physics & Technology, vol. 73, pp. 204-211, 2015. (SCI 检索：000366066100025)

  https://www.researchgate.net/publication/282533323_Fusion_of_remote_sensing_images_based_on_pyramid_decomposition
  with_Baldwinian_Clonal_Selection_Optimization

• Haiyan Jin, Qian Xi, Yanyan Wang, Xinhong Hei. Fusion of visible and infrared images using multiobjective evolutionary algorithm based on decomposition. Infrared Physics & Technology, vol.71, pp. 151-158, 2015. (SCI 检索: 000360594900017)

  https://www.sciencedirect.com/science/article/pii/S1350449515000341

• Haiyan Jin, Yanyan Wang. A fusion method for visible and infrared images based on contrast pyramid with teaching learning based optimization. Infrared Physics & Technology, vol.64, pp. 134-142, 2014. (SCI 检索: 000336476400022)

  https://www.researchgate.net/publication/260803685_A_fusion_method_for_visible_and_infrared_images_based_on_
  contrast_pyramid_with_teaching_learning_based_optimization