Yixiong Liang

Yixiong Liang, Ph.D. 

Professor 

School of Computer Science and Engineering  

Central South University 

Changsha, Hunan 410083, P.R.China

yxliang@csu.edu.cn

General Interests: 

Computer Vision, Machine Learning, Pattern Recognition, Image Processing 

Curriculum Vitae

Selected Papers (in English)：

1.  Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, and Jianxin Wang. "Exploring Contextual Relationships for Cervical Abnormal Cell Detection. " IEEE Journal of Biomedical and Health Informatics, 2023 (Accepted).

2. Chen, Bolei, Yongzheng Cui, Ping Zhong, Wang yang, Yixiong Liang, and Jianxin Wang. "STExplorer: A Hierarchical Autonomous Exploration Strategy with Spatio-Temporal Awareness for Aerial Robots." ACM Transactions on Intelligent Systems and Technology, 2023, doi: 10.1145/3595184. 

3. Yixiong Liang, Zhihua Yin, Haotian Liu, Hailong Zeng, Jianxin Wang, Jianfeng Liu, and Nanying Che, “Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 20, no. 1, pp. 785–795, 2023, doi: 10.1109/TCBB.2021.3138189.

4.  Qing Liu, Haotian Liu, Wei Ke, and Yixiong Liang, “Automated lesion segmentation in fundus images with many-to-many reassembly of features,” Pattern Recognition, vol. 136, p. 109191, 2023.

5.  Gaojie Li, Qing Liu, Haotian Liu, and Yixiong Liang, “A novel transformer-based pipeline for lung cytopathological whole slide image classification,” in ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

6. Shichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang, and Zhihai He, “Coded Residual Transform for Generalizable Deep Metric Learning,” in Advances in Neural Information Processing Systems, 2022, [Online]. Available: https://openreview.net/forum?id=AlgbeSuE1lx.

7. Yongsheng Zhang, Qing Liu, Yang Zhao, and Yixiong Liang, “MEJIGCLU: More Effective Jigsaw Clustering For Unsupervised Visual Representation Learning,” in ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 2135–2139.

8. Ping Zhong, Bolei Chen, Siyi Lu, Xiaoxi Meng, and Yixiong Liang, “Information-driven fast marching autonomous exploration with aerial robots,” IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 810–817, 2022.

9. Qing Liu, Haotian Liu, Yang Zhao, and Yixiong Liang, “Dual-branch network with dual-sampling modulated dice loss for hard exudate segmentation in color fundus images,” IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 3, pp. 1091–1102, 2022.

10. Yixiong Liang, Changli Pan, Wanxin Sun, Qing Liu, and Yun Du, “Global context-aware cervical cell detection with soft scale anchor matching,” Computer Methods and Programs in Biomedicine, p. 106061, 2021.

11. Yixiong Liang, Zhihong Tang, Meng Yan, Jialin Chen, Qing Liu, and Yao Xiang, “Comparison Detector for Cervical Cell/Clumps Detection in the Limited Data Scenario,” Neurocomputing, vol. 437, pp. 195–205, 2021.

12. Hulin Kuang, Yixiong Liang, Ning Liu, Jin Liu, and Jianxin Wang, “BEA-SegNet: body and edge aware network for medical image segmentation,” in 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 939–944.

13. Yao Xiang, Zhujun He, Qing Liu, Jialin Chen, and Yixiong Liang, “Autofocus of whole slide imaging based on convolution and recurrent neural networks,” Ultramicroscopy, vol. 220, p. 113146, 2021.

14. Yao Xiang, Jialin Chen, Qing Liu, and Yixiong Liang, “Disentangled Representation Learning Based Multidomain Stain Normalization For Histological Images,” in 2020 IEEE International Conference on Image Processing (ICIP), 2020, pp. 360–364.

15. Yao Xiang, Wanxin Sun, Changli Pan, Meng Yan, Zhihua Yin, and Yixiong Liang, “A novel automation-assisted cervical cancer reading method based on convolutional neural network,” Biocybernetics and Biomedical Engineering, vol. 40, no. 2, pp. 611–623, 2020.

16. Qing Liu, Beiji Zou, Yang Zhao, and Yixiong Liang, “A deep gradient boosting network for optic disc and cup segmentation,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 971–975.

17. Meng Yan, Qing Liu, Zhihua Yin, Du Wang, and Yixiong Liang, “A bidirectional context propagation network for urine sediment particle detection in microscopic images,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 981–985.

18. Yixiong Liang, Yuan Mao, Jiazhi Xia, Yao Xiang, and Jianfeng Liu, “Scale-Invariant Structure Saliency Selection for Fast Image Fusion,” Neurocomputing, vol. 356, no. 9, pp. 119–130, 2019.

19. Yixiong Liang, Meng Yan, Zhihong Tang, Zhujun He, and Jianfeng Liu, “Learning to autofocus based on gradient boosting machine for optical microscopy,” Optik, vol. 198, p. 163002, 2019.

20. Yixiong Liang, Yuan Mao, Zhihong Tang, Meng Yan, Yuqian Zhao, and Jianfeng Liu, “Efficient Misalignment-Robust Multi-Focus Microscopical Images Fusion,” Signal Processing, vol. 161, no. 8, pp. 111–123, 2019.

21. Yingjun Jiang, Jianxin Wang, Yixiong Liang, and Jiazhi Xia, “Combining static and dynamic features for real-time moving pedestrian detection,” Multimedia Tools and Applications, vol. 78, no. 3, pp. 3781–3795, 2019.

22. Yixiong Liang, Zhihong Tang, Meng Yan, and Jianfeng Liu, “Object detection based on deep learning for urine sediment examination,” Biocybernetics and Biomedical Engineering, vol. 38, no. 3, pp. 661–670, 2018.

23. Jiazhi Xia, Le Gao, Kezhi Kong, Ying Zhao, Yi Chen, Xiaoyan Kui, and Yixiong Liang, “Exploring linear projections for revealing clusters, outliers, and trends in subsets of multi-dimensional datasets,” Journal of Visual Languages & Computing, vol. 48, pp. 52–60, 2018.

24. Chunyan Lian, Yixiong Liang, Rui Kang, and Yao Xiang, “Deep convolutional neural networks for diabetic retinopathy classification,” in Proceedings of the 2nd International Conference on Advances in Image Processing, 2018, pp. 68–72.

25. Ye-zhan Zeng, Sheng-hui Liao, Ping Tang, Yu-qian Zhao, Miao Liao, Yan Chen, and Yi-xiong Liang, “Automatic liver vessel segmentation using 3D region growing and hybrid active contour model,” Computers in biology and medicine, vol. 97, pp. 63–73, 2018.

26. Yixiong Liang, Rui Kang, Chunyan Lian, and Yuan Mao, “An End-to-End System for Automatic Urinary Particle Recognition with Convolutional Neural Network,” Journal of medical systems, vol. 42, no. 9, p. 165, 2018.

27. Chunyan Lian, Yixiong Liang, Rui Kang, Yuan Mao, Yao Xiang, and Ling Gao, “A Novel Diabetic Retinopathy Classification Scheme based on Compact Bilinear Pooling CNN and Gradient Boosted Decision Tree.,” J. Inf. Hiding Multim. Signal Process., vol. 9, no. 4, pp. 821–829, 2018.

28. Chengzhang Zhu, Beiji Zou, Rongchang Zhao, Jinkai Cui, Xuanchu Duan, Zailiang Chen, and Yixiong Liang, “Retinal vessel segmentation in colour fundus images using extreme learning machine,” Computerized Medical Imaging and Graphics, vol. 55, pp. 68–77, 2017.

29. Lei Wang, Yixiong Liang, Wangyang Cai, and Beiji Zou, “Failure detection and correction for appearance based facial tracking,” Chinese Journal of Electronics, vol. 24, no. 1, pp. 20–25, 2015.

30. Sheng-Hui Liao, Yixiong Liang, Ling-Zhi Li, Bei-Ji Zou, Xing-Hao Zhu, and Wei Ai, “Practical craniofacial surgery simulator based on GPU accelerated lattice shape matching,” Computer Animation and Virtual Worlds, vol. 22, no. 2–3, pp. 269–276, 2011.

31. Yixiong Liang, Lingbo Liu, Ying Xu, Yao Xiang, and Beiji Zou, “Multi-task GLOH feature selection for human age estimation,” in 2011 18th IEEE International Conference on Image Processing, 2011, pp. 565–568.

32. Yixiong Liang, Lei Wang, Shenghui Liao, and Beiji Zou, “Feature selection via simultaneous sparse approximation for person specific face verification,” in 2011 18th IEEE International Conference on Image Processing, 2011, pp. 789–792.

33. Yixiong Liang, Shenghui Liao, Lei Wang, and Beiji Zou, “Exploring regularized feature selection for person specific face verification,” in 2011 International Conference on Computer Vision, 2011, pp. 1676–1683.

34. Yixiong Liang, Ying Xu, Lingbo Liu, Shenghui Liao, and Beiji Zou, “A multi-layer model for face aging simulation,” Transactions on edutainment VI, pp. 182–192, 2011.

35. Liping Yang, Weiguo Gong, Xiaohua Gu, Weihong Li, and Yixiong Liang, “Null space discriminant locality preserving projections for face recognition,” Neurocomputing, vol. 71, no. 16–18, pp. 3644–3649, 2008.

36. Yixiong Liang, Chengrong Li, Weiguo Gong, and Yingjun Pan, “Uncorrelated linear discriminant analysis based on weighted pairwise Fisher criterion,” Pattern Recognition, vol. 40, no. 12, pp. 3606–3615, Dec. 2007, doi: 10.1016/j.patcog.2007.03.030.

37. Yixiong Liang, Weiguo Gong, Yingjun Pan, and Weihong Li, “Generalizing relevance weighted LDA,” Pattern Recognition, vol. 38, no. 11, pp. 2217–2219, 2005.