Books

1. Artificial Intelligence and Psychological Cognition, Xuefeng Liang, Guangyu Chen, Beijing Normal University Press. 2024.
2. Modern Neural Network, S.Y. Yang, L.C. Jiao, M.K. Liu, J.Zhao, F. Liu, X.F. Liang, Xidian University Press, 2019.

Journal Papers

1. Ying Zhou, Xuefeng Liang, Y. Xu "Dataset-Aware Utopia Modality Contribution for Imbalanced Multimodal Learning ”Accepted by Information Fusion (IF 15.5) [Link].
2. G.H. Shi, X.F. Liang, X.Y. Lin, "Rethinking Multi-pattern Mining from a Perspective of Pattern Prototype Learning" Accepted by Pattern Recognition, (IF 7.6) [Link].
3. Jingyi Duan, Xuefeng Liang, Jiangqun Liao, Ryoichi Nakashima, Hongyi Shi, Chenhao Hu, Takatsune Kumada, Kaiping Peng, Tong Song, "Big Picture Predicts Destination Attractiveness: the Role of Physical Breadth and Contextual Breadth" Accepted by Tourism Management, (IF 10.9) [Link].
4. Ying Zhou, Xuefeng Liang, Han Chen, Yin Zhao, Xin Chen, Lida Yu, "Triple Disentangled Representation Learning for Multimodal Affective Analysis" Information Fusion Vol. 114, February 2025. (IF 15.5) [Link].
5. X.F. Liang, W.X. Xu, H.X. Jiang, Y. Zhou, Y. Zhao, J. Zhang, "Learning Subjective Time-Series Data via Utopia Label Distribution Approximation", Pattern Recognition, Vol. 157, January 2025. IF(7.5) [Link].
6. X.F. Liang, Z.H. Liang, H.W. Shi, X.S. Zhang, Y. Zhou, Y.F. Ma, "Multi-pattern Mining using Pattern-level Contrastive Learning and Multi-pattern Activation Map", IEEE Trans. on Neural Networks and Learning Systems, Vol.35 (7), pp. 9080-9094, July, 2024. IF(10.4).[Link]
7. N. Huyan, D. Quan, X.R. Zhang, X.F. Liang, J. Chanussot, L.C. Jiao, “Unsupervised Outlier Detection using Memory and Contrastive Learning”, IEEE Transactions on Image Processing, Vol. 31, pp.  6440-6454, Oct. 2022, IF (11.041) [Link]
8. X.F. Liang, X.Y. Liu, L.S. Yao, "A Survey of Learning from Noisy Labels", ECS Sensors Plus, Vol. 1(2), June 2022. [Link]
9. Y. Zhou, X.F. Liang, X.S. Zhang, Z.H. Liang, C.Y. Wang, Y. Gu, Y.F. Yin, "A Joint Framework for Mining Discriminative and Frequent Visual Representation",  Neurocomputing (ELSEVIER), Vol. 500, pp. 776-790, Aug 2022, IF(6.5). [Link]
10. Y. Zhou, X.F. Liang, Y. Gu, Y.F. Yin, L.S. Yao, "Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition", IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 30, pp. 695 - 705, Jan. 2022, IF (5.1). [Link]
11. Y.H. Cui, F. Liu, L.C. Jiao, Y.W. Guo, X.F. Liang, L.L. Li, S.Y. Yang, X.X. Qian, "Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification", IEEE Trans. on Geoscience and Remote Sensing, Vol. 60,  pp. 1-18, May. 2021, IF(8.125).
12. D. Quan, S. Wang, N. Huyan, J. Chanussot, R.J. Wang, X.F. Liang, B. Hou, L.C. Jiao, ``Element-wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching'', IEEE Trans. on Neural Networks and Learning Systems, Vol. 33(8), pp. 3372-3386, Aug. 2022. IF(14.255).
13. S. Tong, X.F. Liang, T. Kumada, S. Iwaki, "Putative Ratios of Facial Attractiveness in a Deep Neural Network", Vision Research, Vol. 178, pp. 86-99, Jan. 2021. IF(2.610) [Link]
14. C.X. Wu, B.B. Ju, Y. Wu, X. Lin, N. Xiong, G.Q. Xu, X.F. Liang, “UAV Autonomous Target Search Based on Deep Reinforcement Learning in Complex Disaster Scene”, IEEE ACCESS, Vol. 7, Issue 1, pp.  117227-117245, Dec. 2019. IF(4.098)
15. K.L. Zeng, T. Lu, X.F. Liang, K. Liu, H. Chen, Y.D. Zhang, “Face Super-resolution via Bil[ant]ayer Contextual Representation”, Signal Processing: Image Communication (ELSEVIER),  Vol.75, pp. 147-157, July 2019. IF(2.814)
16. S. Tong, Y.P. Loh, X.F. Liang, T. Kumada, “Wide or Narrow? A Visual Attention Inspired Model for View-Type Classification”, IEEE ACCESS, Vol. 7, pp. 48725 - 48738, April, 2019. IF(4.098)
17. Y.P. Loh, X.F. Liang, C.S. Chan, "Low-light image enhancement using Gaussian Process for features retrieval" Signal Processing: Image Communication (ELSEVIER), Vol.74, pp. 175-190, May 2019. IF(2.814).
18. B. Yue, S. Wang, X.F. Liang, L.C. Jiao, "An External Learning Assisted Self-examples Learning for Image Super-resolution", Neurocomputing (ELSEVIER),  Vol.312, No.27, pp. 107-119, Oct. 2018. IF(5.719).
19. S. Wang, D. Quan, X.F. Liang, M.D. Ning, Y.H. Guo, L.C. Jiao, “A Deep Learning Framework for Remote Sensing Image Registration”，ISPRS Journal of Photogrammetry and Remote Sensing (ELSEVIER),  Vol. 145 A, pp. 148-164, Nov. 2018. IF(6.942).
20. S. Wang, B. Yue, X.F. Liang, L.C. Jiao, “How does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution”, IEEE Transactions on Image Processing, Vol. 27, No. 3, pp. 1086-1099, Nov. 2017. (IF 6.79).
21. B. Yue, S. Wang, X.F. Liang, L.C. Jiao, “Robust coupled dictionary learning with ℓ1-norm coefficients transition constraint for noisy image super-resolution”, Signal Processing (ELSEVIER), Vol. 140, pp. 177–189, Apr. 2017. (IF 4.086)
22. R. Iseki, S. Kajima, X. Zhao, X.F. Liang, S. Tsujimoto, “The Role of Presenter Actions in the Evaluation of Oral Presentations: Evidence from fMRI and Motion-Vector Analysis”, Psychologia, Vol. 59, No.4, Nov. 2016.
23. B. Yue, S. Wang, X.F. Liang, L.C. Jiao, C.J. Xu, “Joint Prior Learning for Visual Sensor Network Noisy Image Super-Resolution”, Sensors, Vol. 16, No. 3, pii. 288, Mar. 2016. (IF 3.031)
24. X.F. Liang, C.C. Zhang, T. Matsuyama, “A General Inlier Estimation for Moving Camera Motion Segmentation”, IPSJ Transactions on Computer Vision and Applications, Vol. 7, pp. 163 ~ 174, Dec. 2015. (Invited paper)
25. C.C. Zhang, X.F. Liang, T. Matsuyama, “Generic Learning based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks”, Sensors, Vol. 14, No. 12, pp. 23509 ~ 23538, Dec. 2014. (IF 3.031)
26. C.C. Zhang, X.F. Liang, T. Matsuyama, “Mixed-Motion Segmentation using Helmholtz Decomposition”, IPSJ Transactions on Computer Vision and Applications, Vol. 5, pp. 55-59, 2013. (Invited paper)
27. X.F. Liang, P.W. McOwan, A. Johnston, “A Biologically Inspired Framework for Spatial and Spectral Velocity Estimations”, Journal of the Optical Society of America A, JOSA A., Vol. 28, Issue 4, pp. 713-723, Apr. 2011. (IF 1.861)
28. N.X. Xiong, L.T. Yang, J.H. Park, X.F. Liang, T.H. Kim, “Towards a Performance-based Resource Server Control in Grid Computing Environments”, Wireless Personal Communications (Springer), Vol. 51, No. 1, pp. 209-220, Oct. 2009. (IF 1.200)
29. K. Ohara, T. Sugawara, J.H. Lee, T. Tomizawa, H.M. Do, X.F. Liang, Y.S. Kim. B.K. Kim, Y. Sumi, T. Tanikawa. K. Ohba, “Visual Mark for Robot Manipulation and Its RT Middleware Component”, Advanced Robotics, Vol. 22, No. 6, pp. 633-655, 2008. (IF 1.104)
30. X.F. Liang, N.X. Xiong, L.T. Yang, H. Zhang, J.H. Park, “A Compensation Scheme of Fingerprint Distortion using Combined Radial Basis Function Model for Ubiquitous Services”, Computer Communications, Vol. 31, No. 18, pp. 4360-4366, Dec. 2008. (IF 2.766)
31. X.F. Liang, A. Bishnu, T. Asano, “A Robust Fingerprint Indexing Scheme Using Minutia Neighborhood Structure and Low-order Delaunay Triangle”, IEEE Trans. on Information Forensics and Security, Vol. 2, No. 4, pp. 721-733, Dec. 2007. (IF 6.211)
32. X.F. Liang, A. Bishnu, T. Asano, “A Combinatorial Approach to Fingerprint Binarization and Minutiae Extraction Using Euclidean Distance Transform”, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 21, No. 7, pp. 1141-1158, Nov. 2007.
33. X.F. Liang, T. Asano, “A Linear Time Algorithm for Binary Fingerprint Image Denoising using Distance Transform”, IEICE Trans. on INF. & SYST., Vol.E89-D, No. 4, pp. 1534–1542, April 2006. (IF 1.11)
34. X.F. Liang, F. Liu, “A SVM Algorithm Based on Linear Combinatorial Kernels”, Computer Science, Vol. 29, pp. 361–363, 2002. (In Chinese)
35. X.F. Liang, F. Liu, “A SVM Algorithm Based on the minimal Support Vector Set”, Journal of Xidian University, Vol. 29, 2002. (In Chinese)

International Conferences

1. G.H. Shi, X.F. Liang, W.J. Li, X.Y. Lin, "Learning Separable Fine-Grained Representation via Dendrogram Construction from Coarse Labels for Fine-grained Visual Recognition" Accepted by ICCV 2025. 
2. W.X. Xu, H.X. Jiang, X.F. Liang, "Leveraging Knowledge of Modality Experts for Incomplete Multimodal Learning", Proc. the 32th ACM International Conference on Multimedia (ACMMM 2024), (Oral presentation, Acceptance rate: 3.97%,  Honorable Mention Award ) Melbourne, Australia, October, 2024.
3. X.X. Cui, X.F. Liang, C. Cao, G.H. Shi, and Nesma El-haddar, "Quadripartite: Tackle Noisy Labels by Better Utilizing Uncertain Samples'', Proc. Intl. Joint Conf. on Neural Networks (IJCNN 2024), Yokohama, Japan, July. 2024.
4. X.F. Liang, Han Chen, Huijun Xuan, Ying Zhou, "MetaSelection: A Learnable Masked AutoEncoder for Multimodal Sentiment Feature Selection", Proc. the 6th Chinese Conf. on Pattern Recognition and Computer Vision (PRCV 2023), Xiamen, China, Oct. 2023. 
5. Hexin, Jiang, X.F. Liang, Wenxin Xu, Ying Zhou, "Pairwise-emotion Data Distribution Smoothing for Emotion Recognition", Proc. the 6th Chinese Conf. on Pattern Recognition and Computer Vision (PRCV 2023), Xiamen, China, Oct. 2023. 
6. Yifan Ma, X.F. Liang, Xiaoyu Lin, Guanghui Shi, "Stable Visual Pattern Mining via Pattern Probability Distribution", Proc. the 6th Chinese Conf. on Pattern Recognition and Computer Vision (PRCV 2023), Xiamen, China, Oct. 2023. 
7. X.L. Zhang, R.C. Liu, J. L, X.F. Liang, "Interpret Positional Information in Perspective of Word Order", Proc. the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July, 2023.
8. S. Tong, J.Y. Duan, X.F. Liang, T. Kumada, K.P. Peng, "Inferring Affective Experience from the Big Picture Metaphor: A Two-dimensional Visual Breadth Model", CVPR 2023  Workshop ABAW, Vancouver, Canada, June, 2023.
9. Y. Zhou, X.F. Liang, S.Q. Zheng, H.J. Xuan, "Adaptive Mask Co-optimization for Modal Dependence in Multimodal Learning", Proc. Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2023) (Oral presentation, Acceptance rate: 5%), Rhodes island, Greece, June, 2023.
10. S. Zhang, G.D. Lei, X.F. Liang, "A Single-pathway Biomimetic Model for Potential Collision Prediction", Proc. the 5th Chinese Conf. on Pattern Recognition and Computer Vision (PRCV 2022), Shenzhen, China, October, 2022.
11. X.F. Liang, X.Y. Liu, L.S. Yao, "Noisy Label Learning in Deep Learning", Proc. the 5th Intl. Conf. on Intelligence Science (ICIS 2022), Xian, China, October, 2022.
12. Y.Y. Huang, X.F. Liang, C.W. Fang, "CALLip: Lipreading using Contrastive and Attribute Learning", Proc. the 29th ACM International Conference on Multimedia (ACMMM 2021), Chengdu, China, October, 2021.
13. Y.F Yin, Y. Gu, L.S. Yao, Y. Zhou, X.F. Liang, H. Zhang,"Progressive Co-teaching for Ambiguous Speech Emotion Recognition", Proc. Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2021), Toronto, Canada, June, 2021.
14. Q.N. Wang, Y. Zhou, Z.Y. Zhu, X.F. Liang, Yu. Gu, "Jointly Discriminating and Frequent Visual Representation Mining", Proc. Asian Conf. on Computer Vision (ACCV 2020), Kyoto, Japan, November, 2020.
15. Q.N. Wang, Z.Y. Zhu, X.F. Liang, H.W. Shi, P. Cao, "Deep Relevance Feature Clustering for Discovering Visual Representation of Tourism Destination", Proc. Chinese Conf. on Pattern Recognition and Computer Vision (PRCV 2020), Nanjing, China, October, 2020.
16. D. Quan, X.F. Liang, S. Wang, S.W. Wei, Y.F. Li, N. Huyan, L.C. Jiao, "AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching", ICCV2019 (Oral Presentation, Acceptance rate: 4.3%), Seoul, Korea, October, 2019.
17. S. Wang, Y.F. Li, X.F. Liang, D. Quan, B.W. Yang, S.W. Wei, L.C. Jiao, "Better and Faster: Exponential Loss for Image Patch Matching", ICCV2019, Seoul, Korea, October, 2019.
18. X.F. Liang, S. Tong, T. Kumada, S. Iwaki, “Golden Ratio: The Attributes of Facial Attractiveness Learned by CNN”, Proc. Intl. Conf. on Image Processing (ICIP 2019), Taipei, Taiwan, September, 2019.
19. Y. Liu,  X.F. Liang, S. Tong, T. Kumada, “Photo Shot-type Disambiguation by Multi-Classifier Semi-supervised Learning”, Proc. Intl. Conf. on Image Processing (ICIP 2019), Taipei, Taiwan, September, 2019.
20. X.F. Liang, S. Tong, T. Kumada, Y.P. Loh, "Understanding the Photo-shooting Patterns of Sightseeing", Proc. Intl. Conf. on Data Science and Information Technology Proceedings (DSIT 2019), Seoul, Korea, July, 2019.
21. S. Wang, L.G. Zhou, P. He, D. Quan, Q. Zhao, X.F. Liang, B. Hou, “An Improved Fully Convolutional Network for Learning Rich Building Features”, Proc. IEEE Intl. Geoscience and Remote Sensing Symposium (IGARSS 2019), Yokohama, Japan, July, 2019.
22. D. Quan, S. Fang, X.F. Liang, S. Wang, L.C. Jiao,"Cross-spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shared Space” Proc. 14th Asian Conf. on Computer Vision (ACCV 2018), Perth, Australia, Dec, 2018. 
23. D. Quan, S. Wang, X.F. Liang, R.J. Wang, S. Fang, B. Hou, L.C. Jiao, "Deep Generative Matching Network for Optical and SAR Image Registration'', Proc. IEEE Intl. Geoscience and Remote Sensing Symposium (IGARSS 2018), (Oral presentation), Valencia, Spain, July, 2018.
24. Y.P. Loh, S. Tong, X.F. Liang, T. Kumada, C.S. Chan, “Understanding Scenery Quality: A Visual Attention Measure and Its Computational Model”, ICCV2017 Workshop on VSM: Web-Scale Vision and Social Media, Venice, Italy, October, 2017.
25. S. Tong, X.F. Liang, T. Kumada, S. Iwaki, “Learning the Cultural Consistent Facial Aesthetics by Convolutional Neural Network”, Proc. Intl. Conf. on Culture and Computing (ICCC 2017), (Oral presentation, Best paper candidate), Kyoto, Japan, September, 2017.
26. Z. Wang, S. Wang, C.J. Xu, C.Y. Li, B. Yue, X.F. Liang, “SAR Images Super-Resolution via Cartoon-Texture Image Decomposition and Jointly Optimized Regressors”, IEEE Intl. Geoscience and Remote Sensing Symposium (IGARSS 2017), Texas, USA, July, 2017.
27. B. Yue, S. Wang, X.F. Liang, L.C. Jiao, “Robust Noisy Image Super-Resolution using L1-norm Regularization and Non-local Constraint”, ACCV 2016 Workshop on NTIRE: New Trends in Image Restoration and Enhancement, (Oral presentation), Taipei, Taiwan, November, 2016.
28. S. Tong, Y.P. Loh, X.F. Liang, T. Kumada, “Visual Attention Inspired Distant View and Close-Up View Classification”, Proc. Intl. Conf. on Image Processing (ICIP 2016), Phoenix, USA, September, 2016.
29. S. Wang, S.P. Lin, X.F. Liang, B. Yue, L.C. Jiao, “External And Internal Learning For Single-Image Super-Resolution”, Proc. Intl. Conf. on Image Processing (ICIP 2015), Quebec, Canada, September, 2015.
30. C.Y. Zhuang, Q. Ma, X.F. Liang, M. Yoshikawa, “Discovering Obscure Sightseeing Spots by Analysis of Geo-tagged Social Images”, Proc. Intl. Conf. on Advances in Social Network Analysis and Mining (ASONAM 2015), Paris, France, August, 2015.
31. C.C. Zhang, X.F. Liang, X. Xiong, “Decision-Tree Based Hybrid Filter-Wrapping Method for Optimal Combination of Multiple Feature Sets”, Proc. 8th Intl. Conf. on Image and Graphics (ICIG 2015), Tianjin, China, August, 2015.
32. C.C. Zhang, X.F. Liang, T. Matsuyama, “Multi-Depth Deep Feature Learning for Face Recognition”, Proc. Intl. Conf. on Informatics, Networking and Intelligent Computing (INIC 2014), Shenzhen, China, November, 2014.
33. X.F. Liang, C.C. Zhang, T. Matsuyama, “Inlier Estimation for Moving Camera Motion Segmentation”, Proc. 12th Asian Conf. on Computer Vision (ACCV 2014), (Oral presentation, Acceptance rate: 3.8%), Singapore, November, 2014.
34. C.Y. Zhuang, Q. Ma,  X.F. Liang, M. Yoshikawa, “Anaba: An Obscure Sightseeing Spots Discovering System”, Proc. IEEE Intl. Conf. on Multimedia and Expo (ICME 2014), Chengdu, China, July, 2014.
35. X.F. Liang, “Minutia Detail in Fingerprint Indexing”, Proc. 20th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV 2014), Okinawa, Japan, February, 2014.
36. X.F. Liang, Xiangjun Li, “Intelligent Camera Network using Multi-functional Middleware”, Proc. 20th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV 2014), Okinawa, Japan, February, 2014.
37. C.C. Zhang, X.F. Liang, T. Matsuyama, “Small Sample Size Face Recognition using Random Quad-Tree based Ensemble Algorithm”, Proc. The 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013), London, UK, December, 2013.
38. C.C. Zhang, X.F. Liang, T. Matsuyama, “Mixed-Motion Segmentation using Helmholtz Decomposition”, Proc. 16th Meeting on Image Recognition and Understanding (MIRU 2013), Outstanding Paper Award, Tokyo, Japan, August, 2013.
39. C.C. Zhang, X.F. Liang, T. Matsuyama, “Multi-subregion Face Recognition using Coarse-to-fine Quad-tree Decomposition”, Proc. 21st Intl. Conf. on Pattern Recognition, (Oral presentation, Acceptance rate: 15%), Tsukuba, Japan, Nov. 2012.
40. C.C. Zhang, X.F. Liang, “A Minimum-Computational-Cost Method for the Parameterization of Quadric Surfaces”, Proc. The Computer Graphics International, Ottawa, Canada, June, 2011.
41. X.F. Liang, P. W. McOwan, A. Johnston, “A Color Neuromorphic Approach for Motion Estimation”, Proc. IEEE Winter Vision Meetings, Workshop on Motion and Video Computing, pp. 49–54, Snowbird Utah, USA, December, 2009.
42. X.F. Liang, Y. Sumi, B.K. Kim, H.M. Do, Y.S. Kim, T. Tomizawa, K. Ohara, T. Tanikawa, K. Ohba, “A Camera Array with Flexible Software Architecture in Intelligent Space”, IEEE/ASME Intl. Conf. on Advanced Intelligent Mechatronics 2008 (Accepted).
43. X.F. Liang, Y. Sumi, B.K. Kim, H.M. Do, Y.S. Kim, T. Tomizawa, K. Ohara, T. Tanikawa, K. Ohba, “A Large Planar Camera Array for Multiple Automated Guided Vehicles Localization”, Proc. IEEE/ASME Intl. Conf. on Advanced Intelligent Mechatronics, pp. 608–613, Xian, China, July, 2008.
44. X.F. Liang, T. Tomizawa, H.M. Do, Y.S. Kim, K. Ohara, B.K. Kim, T. Tanikawa, K. Ohba, “Multiple Robots Localization Using Large Planar Camera Array for Automated Guided Vehicle System”, Proc. IEEE Intl. Conf. on Information and Automation, pp. 984–990, Zhangjiajie, China, June, 2008.
45. X.F. Liang, T. Tomizawa, J.H. Lee, H.M. Do, Y.S. Kim, K. Ohara, B.K. Kim, T. Tanikawa, K. Ohba, “Large Camera Array System for Real Time Surveillance”, ACCV’07 Workshop on Multi-dimensional and Multi-view Image Processing, Tokyo, Japan, September, 2007.
46. T.Tomizawa, K.Ohara, T.Sugawara, H.Onda, J.H.Lee, X.F. Liang, H.M.Do, Y.S.Kim, B.K.Kim, T.Tanikawa, K.Ohba, T.Sonoyama, “Introduction to Ubiquitous Space Related Japan Science and Technology Agency Projects at AIST”, IROS 2007, Workshop on Ubiquitous Robotic Space Design and Applications, San Diego, November, 2007.
47. H.M. Do, B.K. Kim, Y.S. Kim, J.H. Lee, K. Ohara, T. Sugawara, T. Tomizawa, X.F. Liang, T. Tanikawa, K. Ohba, “Development of Simulation Framework for Ubiquitous Robots Using RT-Middleware”, Proc. Intl. Conf. on Control, Automation and Systems, pp. 2483z2486, Korea, October, 2007.
48. Y.S. Kim, J.H. Lee, B.K. Kim, H.M. Do, T. Tomizawa, K. Ohba, X.F. Liang, K. Ohara, T. Sugawara, and T. Tanikawa, “Localization of Ubiquitous Environment Based Mobile Robot”, Proc. Intl. Conf. on Control, Automation and Systems, pp. 2355–2358, Korea, October, 2007.
49. X.F. Liang, T. Asano, H. Zhang, “A Combined RBF Model for Fingerprint Distortion”, Proc. 3rd Intl. Conf. on Image Analysis and Recognition (ICIAR 2006), Povoa de Varzim, Portugal, Lecture Notes in Computer Science LNCS 4142, edited by A. Campilho and M. Kamel, “Image Analysis and Recognition”, pp. 286–296, September, 2006.
50. X.F. Liang, A. Bishnu, T. Asano, “Fingerprint Matching Using Minutiae Polygons”, Proc. 18th Intl. Conf. on Pattern Recognition (ICPR 2006), (Oral presentation, Acceptance rate: 15%), pp. 1046–1049, HongKong, China, August, 2006.
51. X.F. Liang, A. Bishnu, T. Asano, “Distorted Fingerprint Indexing Using Delaunay Triangle and Minutiae Detail”, Proc. 3rd Intl. Sym. on Voronoi Diagrams in Science and Engineering (ISVD 2006), pp. 217–224, Banff, Canada, July, 2006.
52. H. Zhang, T.B. Ho, M.S. Lin, X.F. Liang, “Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients”, Proc. 3rd Intl. Sym. on Neural Networks (ISNN06), Lecture Notes in Computer Science LNCS 3971–1394, pp. 1394–1399, Chengdu, China, May, 2006.
53. X.F. Liang, K. Kotani, T. Asano, “Automatically Choosing Appropriately-Sized Structuring Elements to Eliminate Useless Components in Fingerprint Image”, Proc. Visual  communications and Image Processing 2005 (Proc. Of SPIE, Vol. 5960), pp. 284–293, Beijing, China, July, 2005.
54. X.F. Liang, A. Bishnu, T. Asano, “A near-linear time algorithm for binarization of fingerprint images using distance transforms”, Proc. 10th Intl. Workshop on Combinatorial Image Analysis, Lecture Notes in Computer Science LNCS 3322, edited by R. Klette and J. Zunic, Combinatorial Image Analysis, pp. 197–208, Auckland, December, 2004.
55. X.F. Liang, T. Asano, “A fast denoising method for binary fingerprint image”, Proc. IASTED Conf. on Visualization, Imaging, and Image Processing, pp. 309–313, Marbella, Spain, September, 2004.
56. X.F. Liang, F. Liu, “Choosing Multiple Parameters for SVM Based on Genetic Algorithm”, Proc. 6th Intl. Conf. on Signal Processing, pp. 117–119, Beijing, China, August, 2002.

Japanese Papers

1. S. Tong, X.F. Liang, “The Distant View and Close-up View Classification using DWT and PCANet”, Proc. 18th Meeting on Image Recognition and Understanding (MIRU 2015), Osaka, Japan, July, 2015.
2. C.Y. Zhuang, Q. Ma,  X.F. Liang, M. Yoshikawa, “Discover Anaba Sightseeing Spots using Social Images”, 情報処理学会 データベースシステム（DBS）研究会, July, 2013.
3. 菅原 隆行, 大原 賢一, 李 在勲, 冨沢 哲雄, KIM YONG-SHIK, 梁 雪峰, Do Hyun Min, 金 奉根,音田 弘, 谷川 民生, 角 保志, 園山 隆輔, 大場 光太郎, “ロボットの作業を支援するための物理的環境構造化に関する研究”, 第8回システムインテグレーション部門講演会(SI2007), Dec. 2007.
4. 金奉根, 梁 雪峰, Do Hyun Min, KIM YONG-SHIK, 李 在勲, 冨沢 哲雄, 大原 賢一, 谷川 民生, 大場 光太郎, “Task Oriented Planning Algorithm for Multiple Mobile Robots in the Ubiquitous Robot Technology Space”, 第8回システムインテグレーション部門講演会(SI2007),Dec. 2007.
5. KIM YONG-SHIK, 李 在勲, 金 奉根, Do Hyun Min, 冨沢 哲雄, 梁 雪峰, 谷川 民生, 大場 光太郎, “Localization of Mobile Robot in Ubiquitous Environment”, SICE SI 2007,Dec. 2007.
6. 大原 賢一, 菅原 隆行, 李 在勲, 冨沢 哲雄, 梁 雪峰, Do Hyun Min, 金 容稙, 金 奉根, 角 保志, 谷川 民生, 音田 弘, 園山隆輔, 大場 光太郎, “人間とロボットの共存環境におけるビジュアルマークの提案”, SICE SI 2007,Dec. 2007.
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