从事计算机视觉，人工智能，深度学习，大数据，无线电信号处理等方向的研究。目前主要精力放在深度学习相关研究以及图像视频处理相关应用。非常欢迎数学、计算机、电子信息专业学生报考硕士。

Selected Publications:

[28] Mingxing Pu (学生), Bing Luo*, Chao Zhang, Li Xu, Fayou Xu, Mingming Kong. Text-Vision Relationship Alignment for Referring Image Segmentation. Neural processing letters, 2023, Springer. （SCI）

[27] Fayou Xu (学生), Bing Luo*, Chao Zhang, Li Xu, Mingxing Pu, Bo Li. Vision-Aware Language Reasoning for Referring Image Segmentation. Neural processing letters, 2023, Springer.（SCI）

[26] Jun Yang (学生), Chao Zhang, Li Xu, Bing Luo*. Superpixel Driven Unsupervised Deep Image Super-resolution. Neural processing letters, 2023, Springer.（SCI）

[25] Jiaren Xiao (学生), Bing Luo*, Li Xu, Bo Li, Zhiguo Cheng. A survey on application in RF signal, Multimedia Tools and Applications, 2023, Springer.（SCI）

[24] Zhongzhe Cheng (学生), Bing Luo*, Li Xu, Bo Li, Zheng Pei, Chao Zhang. Blind image deblurring via content adaptive method. Signal Processing: Image Communication. Vol. 113, pp. 116924, 2023（中科院SCI 2区）

[23] Bing Luo*, Zhongzhe Cheng, Li Xu, Guangrong Zhang, Hongliang Li. Blind Image Deblurring via Superpixel Segmentation Prior. IEEE Transactions on Circuits and Systems for Video Technology 2021 (中科院SCI 1区top) （code: https://pan.baidu.com/s/1RR7ZmD7YoZ0bFrdVMlZU8A, 提取码 5i23）

[22] Zhongzhe Cheng (学生), Bing Luo*, Li Xu, Siwei Li, Kunshu Xiao, Zheng Pei. Multi-scale Two-Way Deblurring Network for Non-uniform Single Image Deblurring. International Conference on Mobile Multimedia Communications. MobiMedia 2021. （EI）

[21] Hong Cheng (学生); Li Xu; Bing Luo; Shuai Du; Kunshu Xiao; Siwei Li; Image Super-Resolution Based on Additional Self-Loop Supervision, International Conference on Artificial Intelligence and Computer Science(AICS) 2021 29-31 July 2021, Beijing, China

[20] Bing Luo*, Junkai Xiong, Li Xu. Superpixel Segmentation by Forgetting Geodesic Distance. IEEE Access, vol. 8, pp. 195810 -195819,  2020. (中科院SCI 2区)

[19] Bing Luo*, Junkai Xiong, Li Xu, Zheng Pei. Superpixel Segmentation Based on Global Similarity and Contour Region Transform. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (SCI). Vol: ‏ E103D, issue:‏3, pages: ‏ 716-719 MAR 2020

[18] Li Xu, Bing Luo*, Mingming Kong, Bo Li, Zheng Pei. Fast Superpixel Segmentation via Boundary Sampling and Interpolation，IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (SCI). Vol: ‏ E102D, issue:‏4, pages: ‏871-874, April,  2019

[17] Li Xu, Bing Luo*, Zheng Pei, Keyun Qin. PFS: Particle Filter based Superpixel Segmentation, Symmetry, 2018. (SCI)

[16] Li Xu, Bing Luo*,  Zheng Pei. Weak Boundary Preserved Superpixel Segmentation based on  Directed Graph Clustering. Signal Processing: Image Communication.  2018. (中科院SCI 2区)

[15] Li Xu, Bing Luo*,  Zheng Pei. Boundary-aware Superpixel Segmentation based on Minimum  Spanning Tree. IEICE Transactions on Information and System,  Vol.E101-D,No.6,pp.-,Jun. 2018.  (SCI) (code: https://pan.baidu.com/s/1XUUD85QJSSd2YCRcocOr7A, 提取码 vga9)

[14] Bing Luo*,  Hongliang Li, Fanman Meng, Qingbo Wu and King N. Ngan, An Unsupervised  Method to Extract Video Object via Complexity Awareness and Object Local  Parts. IEEE Transactions on Circuits and Systems for Video Technology, 2017. (中科院SCI 1区top) (code: https://pan.baidu.com/s/1p9vh_pkCPOwtAO9mDM1-0Q, 提取码  ysa0)

[13] Bing Luo, Hongliang Li, Fanman Meng, Qingbo Wu and Chao Huang. Video Object Segmentation via Global Consistency Aware Query Strategy. IEEE Transactions on Multimedia, 2017. (中科院SCI 1区top)

[12] Bing Luo, Hongliang Li, Tiecheng Song and Chao Huang. Object Segmentation from Long Video Sequences. Proceedings of the 23rd ACM international conference on Multimedia. ACM, 2015: 1187-1190.（CCF A 类top会议）

[11] Bing Luo,  Chao Huang, Lei Ma, Wei Li and Qingbo Wu. Foreground Segmentation via  Dynamic Programming. IEICE Transactions on Information and Systems,  vol.E97-D,no.10, pp. 2818-2822, Oct., 2014.(SCI)

[10] Fanman Meng, Hongliang Li, Qingbo Wu, Bing Luo, King Ngi Ngan, Weakly Supervised Part Proposal Segmentation from Multiple Images, IEEE Transactions on Image Processing, vol. 26, no. 8, 4019-4031, 2017. (SCI 11.041)

[9] Qingbo Wu, Hongliang Li, Zhou Wang, Fanman Meng, Bing Luo, Wei Li, King N Ngan, Blind Image Quality Assessment Based on Rank-Order Regularized Regression, IEEE Transactions on Multimedia, vol. 19, no. 11, 2490-2504, 2017. (SCI)

[8] Chao Huang, Hongliang Li, Yurui Xie, Qingbo Wu, Bing Luo,  PBC: Polygon-Based Classifier for Fine-Grained Categorization, IEEE Transactions on Multimedia, vol. 19, no. 4, pp. 673-684,2017. (SCI)

[7] Tiecheng Song, Fanman Meng, Qingbo Wu, Bing Luo, Tianqi Zhang, Yongjun Xu, L2SSP: Robust keypoint description using local second-order statistics with soft-pooling, Neurocomputing, vol. 230, pp. 230-242, 2017. (SCI)

[6] Fanman Meng, Hongliang Li, Qingbo Wu, Bing Luo, Chao Huang, King Ngan,  Globally measuring the similarity of superpixels by binary edge maps for superpixel clustering, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 4, pp. 906-919, 2016. (SCI)

[5] Qingbo Wu, Hongliang Li, Fanman Meng, King N Ngan, Bing Luo, Chao Huang, Bing Zeng, Blind image quality assessment based on multichannel feature fusion and label transfer, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no 3, pp. 425-440, 2016. (SCI)

[4] Fanman Meng, Hongliang Li, Shuyuan Zhu, Bing Luo, Chao Huang, Bing Zeng, Moncef Gabbouj, Constrained Directed Graph Clustering and Segmentation Propagation for Multiple Foregrounds Co-segmentation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no 11, pp. 1735-1748, 2015. (SCI)

[3] Tiecheng Song, Hongliang Li, Fanman Meng, Qingbo Wu and Bing Luo, Exploring space-frequency co-occurrences via local quantized patterns for texture representation, Pattern Recognition, 2015, 48(8), 2621-2632. (SCI)

[2] Hongliang Li, Fanman Meng, Bing Luo and Shuyuan Zhu, Repairing Bad Co-segmentation using Its Quality Evaluation and Segment Propagation, IEEE Transactions on Image Processing, vol. 23, no. 8, pp. 3545-3559, 2014. (SCI)

[1] Hongliang Li, Fanman Meng, Qingbo Wu and Bing Luo, Unsupervised Multi-class Region Co-segmentation via Ensemble Clustering and Energy Minimization, IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 789-801, May., 2014. (SCI)

·       获西华大学青年学者称号

·       Best Reviewer, Visual Communications and Image Processing (VCIP) 2016

IEEE 会员

ACM 会员，ACM SIGMM 多媒体专业组织会员

中国图像图形CSIG协会会员

担任IEEE Trans. Image Process./Circuits Syst. Video Technol./ Multimedia / Cybern. / SPIC 等多个国际顶级、权威期刊及会议审稿人

·       IEEE Transactions on Image Processing

·       IEEE Transactions on Circuits and Systems for Video Technology

·       IEEE Transactions on Multimedia

·       IEEE Transactions on Cybernetic

·       IEEE/CAA Journal of Automatica Sinicas

·       IEEE Transactions on Computational Imaging

·       IEEE Signal Processing Letters

·       International Journal on Visual Comm. and Image Representation

·       Signal processing and image communication

·       International Conference on Visual Communications and Image Processing (VCIP)

·       IEEE International Conference on Multimedia and Expo (ICME)