ÌÇÐÄÔ­´´

Contact

• workRoom BB63 Faculty of Science
  Malaysia Campus
  Jalan Broga
  43500 Semenyih
  Selangor Darul Ehsan
  Malaysia
• work+6 (03) 8725 3438
• Iman.Liao@nottingham.edu.my

Biography

Dr. Iman Yi Liao obtained her BSc, MSc, PhD all from School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, China, in 1996, 1999, and 2006 respectively. She was a visiting researcher in Chinese University of Hong Kong from July 2001 to Dec 2001, and in CVSSP, University of Surrey, UK from Dec 2003 to Sep 2004, respectively. She was a Post-Doctorate research fellow at the School of Computer Sciences, Universiti Sains Malaysia in 2008 and subsequently a Senior Lecturer from 2009 to 2012. She joined the School of Computer Science, ÌÇÐÄÔ­´´ Malaysia Campus, as an Associate Professor in December 2012.

Expertise Summary

I am interested in innovating and applying Machine Learning techniques to various Computer Vision problems, including 3D reconstruction from single 2D images, 3D point cloud registration and classification, landmark detection of objects in 2D/3D images, semantic segmentation of 2D/3D images, object detection and classification in 2D images. My recent research focuses on industrial applications where data are often collected with small sample size.

Theoretical tools I have investigated include but not limited to variational methods, optimization theory and algorithms, regularization methods, relaxation algorithms, fractal analysis, multi-scale analysis (e.g., wavelets), Markov random fields, B-Splines, Differential Geometry, Principal Component Analysis, and some typical Machine Learning techniques as well as Deep Convolutional Neural Networks.

Teaching Summary

The current modules she is teaching include

- Mathematics for Computer Scientists

- Computer Vision

- Machine Learning

- Advance Algorithms and Data Structure

Other modules she has taught/ was involved in include

- Computer Graphics

- Database

- Software Engineering

Research Summary

My current research includes both theoretical and application works.

In the theoretical aspect, currently I am focusing on Small Sample Size Problem in High Dimensional Data Modeling, a challenging problem that has recently drawn attention of researchers from various fields such as genomics, Image and Video Analysis, Chemometrics, Economics, and Humanities. As a common problem in the above mentioned areas, where the classic statistical theories have difficulty (as they work based on assumption of large number of examples as compared to data dimensionality), it requires exploring new theories and techniques in statistical and machine learning, which can be hopefully applied to solve related problems in all those aforementioned areas.

As for the application of image processing and computer vision, I have worked with medical doctors and forensic experts at Hospital Kuala Lumpur on Post Mortem Computerised Tomography (PMCT) data, to analyse and identify the associated demographics such as gender, age, race, etc, using image processing and machine learning techniques apart from standard methodologies in Forensic Medicine and Sciences. I have also collaborations with Universiti Kebangsaan Malaysia, Monash University Malaysia, and several industrial partners, on various Image Processing and Computer Vision researches/projects.

Selected Publications

• JUNHUI NG, IMAN YI LIAO, MOHAMMAD FAKHRY JELANI, ZI YAN CHEN, CHOO KIEN WONG and WEI CHEE WONG, 2024. Computers and Electronics in Agriculture.
• CHANGHONG JING, HONGZHI KUAI, HIROKI MATSUMOTO, TOMOHARU YAMAGUCHI, IMAN YI LIAO and SHUQIANG WANG, 2024. Brain Informatics.
• XIANGMIN LUO, ZIWEI CHEN, DA HUANG, FANGYUAN LEI, CHANG-DONG WANG and IMAN YI LIAO, 2024. IEEE Transactions on Instrumentation & Measurement.
• MUHAMMAD WAQAS, AMR AHMED, TOMAS MAUL and IMAN YI LIAO, 2024. Neural Computing and Applications.

• View all publications

I am the Principal Investigator (PI) of the following 7 grants/contracts (Total of RM 640,560):

• Development of Automated Detection and Quality Classification of Germinated Oil Palm Seeds, Industry Funded MOA, Malaysia (2021-2023), RM49,120
• Automated analysis of tumour immune cells from breast cancer, Industry Funded MOA, Malaysia (2021-2022), RM89,735
• Real-Life Sized 3D Human Body Shape Reconstruction from 2D Images for Virtual Garment Fitting, Industry Funded MOA, Malaysia (2018-2022), RM81,420
• A Novel Data Space Regularization Method for Solving Anti-Learning Problems in Machine Learning, Fundamental Research Grant Scheme (FRGS), Ministry of Education, Malaysia (2014-2017), RM72,785
• Automatic Identification from 3D Cranio-Facial Data for Forensic Examinations, eScienceFund, Ministry of Science, Technology, and Innovation, Malaysia (2014-2017), RM145,500
• Robust 3D Face Reconstruction from Single 2D Images, Research University Grant, Universiti Sains Malaysia (2011-2013), RM192,000
• Automatic 3D Face Reconstruction from Single 2D Images, Incentive Grant, Universiti Sains Malaysia (2009-2010), RM10,000

I am the key co-investigator for the following 6 grants (Total of RM 809,758):

• Software for Real-time Verification of Advanced Radiotherapy Treatment Delivery, Prototype Development Research Grant Scheme (PRGS), Ministry of Education (2019-2022), RM148,500, Led by Dr. Mohd Hafiz bin Mohd Zin
• Development of a Prototype Computational Platform for Assisted Interventional Planning of Radiofrequency Ablation and Cryoablation Treatment of Cancer, eScienceFund, MOSTI (2017-2020), RM186,758, Led by Dr. Ooi Ean Hin
• A study of 3-D geometric morphometrics for classification of human crania in Malaysia, Young Researcher Award (UKM) (2016-2019), RM45,000, Led by Dr. Faridah binti Mohd Nor
• Generalized Transfer Function Technique: Can We Rely on It for Blood Pressure Measurement in Clinical Diagnosis in Malaysia Hospitals?, eScienceFund, MOSTI (2014-2016), RM196,000, Led by Dr. Yubing Shi
• Fault Localisation for an in-pipe Culvert Inspection Robot Using Visual Odometry, Exploratory Research Grant Scheme (ERGS), Ministry of Education, Malaysia (2011-2013), RM130,000, Led by Dr. Munir Zaman
• Feature Lines Extraction and Enhancement for 3D Volumetric Data, Research University (RU) Grant,Universiti Sains Malaysia (2011-2012), RM103,500, Led by Dr. Bahari Belaton

Past Research

I have conducted research on 3D Terrain Reconstruction from Remote Sensing Images, 3D Face Reconstruction from Single 2D Images, Automatic Landmarks Detection and Placement on 3D Cranio-Facial Data, and some preliminary work on Computer-Aided Anthropology in Forensic Science. I also co-researched on Mobile Robot Localization and Vision-based Techniques.

My doctoral research was on reconstruction of 3D surfaces from single 2D images with fractal prior, falling under the ambit of Shape from Shading (SFS). While conventional methods relied on constructing smoothness constraints to regularise the problem, I took a revolutionary view and introduced a fractal priori that is able to recover rough, as well as smooth surfaces, more accurately.

When dealing with small sample size problem in Machine Learning, I have developed several methods for the problem of 3D face reconstruction from 2D single images, including an adaptive model based on generating artificial samples and a latent variable model based on general human traits such as gender, age, and racial groups.

In domains of very high dimensional sample data, a compact representation of original data is obtained before further processing. We have proposed a method that takes the full advantage of feature extraction and simultaneously relate features to the importance of anatomical regions on skulls for sex determination. We have also provided a full automated process that takes in the skull CT scan images and estimates the sex of the subject. Our work was considered "first of a kind" by peer review and the prototype we developed was invited to the International Conference and Exposition on Inventions by Institutions of Higher Learning (PECIPTA 2017), in Terrengganu, Malaysia, 2017.

My recent research involves solving problems in industry where the data sample size is small. We have designed novel methods leveraging on transfer learning from existing Deep Learning solutions/models to address such issues. In one of the recent case, we have successfully designed a deep convolutional neural network model for detecting body landmarks for customised tailoring services based on transfer-learning from an existing model that was dedicated for fashion landmark detection. The model has been successfully deployed by the partner company.

Future Research

With my previous research experience in 3D reconstruction and 3D vision data processing, and my current interest on example based modeling, I would hope to explore and solve research problems with applications to Geophysical Science, Forensic Science, Medical Image Analysis/Retrieval and any other related areas that can make full use of vision and image analysis, statistical learning, and pattern recognition techniques.

You are welcome to collaborate with me if you see any possibilities that I can contribute to your research areas.

• ALEXANDER JOSEPH FEZOVICH, IMAN YI LIAO and EAN HIN OOI, 2026. Time-Aware Neural Operator for Liver Radiofrequency Ablation Planning In: 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI). (In Press.)
• XINGBO DONG, BOWEN ZHOU, CHEN YIN, IMAN YI LIAO, ZHE JIN, ZHAOZHAO XU and BIN PU, 2025. IEEE Journal of Biomedical and Health Informatics.
• XINBO DONG, LIWENG WANG, XINGGUO LV, XIAOYAN ZHANG, HUI ZHANG, BIN PU, ZHE JIN and IMAN YI LIAO, 2025. Information Fusion.
• IMAN YI LIAO, MUSTAFA MAHIR, MAHMOUD KHATTAB, AMR AHMED and JIA WERN PAN, 2025. In: ACM Multimedia Asia 2025.
• JUNHUI NG, IMAN YI LIAO, MOHAMMAD FAKHRY JELANI, ZI YAN CHEN, CHOO KIEN WONG and WEI CHEE WONG, 2024. Computers and Electronics in Agriculture.
• CHANGHONG JING, HONGZHI KUAI, HIROKI MATSUMOTO, TOMOHARU YAMAGUCHI, IMAN YI LIAO and SHUQIANG WANG, 2024. Brain Informatics.
• XIANGMIN LUO, ZIWEI CHEN, DA HUANG, FANGYUAN LEI, CHANG-DONG WANG and IMAN YI LIAO, 2024. IEEE Transactions on Instrumentation & Measurement.
• MUHAMMAD WAQAS, AMR AHMED, TOMAS MAUL and IMAN YI LIAO, 2024. Neural Computing and Applications.
• YUHANG QIU, HONGHUI CHEN, XINGBO DONG, ZHENG LIN, IMAN YI LIAO, MASSIMO TISTARELLI and ZHE JIN, 2024. IEEE Transactions on Information Forensics & Security.
• MUHAMMAD WAQAS, TOMAS MAUL, IMAN YI LIAO and AMR AHMED, 2024. In: 31st International Conference on Neural Information Processing (ICONIP2024).
• AHMAD HAZEM ABDELSALAM AHMED MAHMOUD AGLAN and IMAN YI LIAO, 2024. In: the 8th IEEE- EMBS Conference on Biomedical Engineering and Sciences (IECBES2024). (In Press.)
• IRFAN YAQUB, ZHIYUAN CHEN, IMAN YI LIAO, TOMAS MAUL, HSIN-VONN SEOW and TISSA CHANDESA, 2024. Large Language Model-Based Multidisciplinary Feedback System (LLM-MFS) In: The 16th International Conference on Education Technology and Computers (ICETC 2024).
• XUANHE ER, MAHMOUD KHATTAB, IMAN YI LIAO, AMR AHMED, JIA WERN PAN and HASLINA MAKMUR, 2024. In: The 3rd International Workshop on Pattern Recognition in Healthcare Analytics (PRHA 2024), In conjunction with the 27th International Conference on Pattern Recognition (ICPR 2024).
• MOHAMMAD ASDAQ BHUTTA, IMAN YI LIAO and EAN HIN OOI, 2024. In: the 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES2024) (Best Paper Award).
• MAHMOOD HAITHAMI, AMR AHMED, IMAN YI LIAO and HAMID JALAB, 2023. In: the IEEE International Symposium on Biomedical Imaging (ISBI) 2023.
• MAHMOOD HAITHAMI, AMR AHMED and IMAN YI LIAO, 2023. In: 13th International Conference on Brain-Inspired Cognitive Systems (BICS 2023).
• MUHAMMAD WAQAS, TOMAS MAUL, AMR AHMED and IMAN YI LIAO, 2023. In: 13th International Conference on Brain-Inspired Cognitive Systems (BICS 2023).
• YISHENG LI, IMAN YI LIAO, NING ZHONG, FURUKAWA TOSHIHIRO, YISHAN WANG and SHUQIANG WANG, 2023. In: Biometric Recognition 17th Chinese Conference, CCBR 2023, Xuzhou, China, December 1–3, 2023, Proceedings.
• MAHMOUD A. AZIM KHATTAB, IMAN YI LIAO, EAN HIN OOI and SIANG YEW CHONG, 2022. Computational and Mathematical Methods in Medicine: Machine Learning and Artificial Intelligence Methods in Computer Vision and Visualization for Healthcare.
• IMAN YI LIAO, ERIC SAVERO HERMAWAN and MUNIR ZAMAN, 2022. Pattern Analysis and Applications.
• MAHMOOD HAITHAMI, AMR AHMED, IMAN YI LIAO and HAMID JALAB, 2022. In: 2nd International Workshop on Artificial Intelligence for Healthcare Applications (AIHA 2022), International Conference on Pattern Recognition (ICPR2022).
• MUHAMMAD WAQAS, TOMAS MAUL, IMAN YI LIAO and AMR AHMED, 2022. In: The 2022 15th International Conference on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2022).
• YUAN LING LEONG, JOI SAN TAN, SENG POH LIM, IMAN YI LIAO and SENG CHEE LIM, 2022. In: The 26th International Computer Science and Engineering Conference 2022 (ICSEC2022, Best Paper Presentation).
• ZI YAN CHEN, IMAN YI LIAO and AMR AHMED, 2021. Applied Soft Computing.
• SHEENA LEEZA VERGHESE, IMAN YI LIAO, TOMAS MAUL and CHONG SIANG YEW, 2021. IEEE Access. 9, 69157-69172
• MAHMOOD HAITHAMI, AMR AHMED, IMAN YI LIAO and HAMID JALAB, 2021. In: 3rd International Endoscopy Computer Vision Challenge and Workshop (EndoCV2021).
• MAHMOOD HAITHAMI, AMR AHMED and IMAN YI LIAO, 2021. Nordic Machine Intelligence: MedAI: Transparency in Medical Image Segmentation (NMI Challenge). 1(1),
• IMAN YI LIAO, BRANDON SOO KHEY SHEN, ZI YAN CHEN, MOHAMMAD FAKHRY JELANI, CHOO KIEN WONG and WEI CHEE WONG, 2021. In: 7th workshop on Computer Vision in Plant Phenotyping and Agriculture, the International Conference on Computer Vision 2021..
• IMAN YI LIAO, MOHAMMAD FAKHRY JELANI, ZI YAN CHEN, CHOO KIEN WONG and WEI CHEE WONG, 2021. Deep Convolutional Neural Networks and Their Applications to Quality Classification of Germinated Oil Palm Seeds In: E-Proceedings International Seminar on Digitalisation of Data for Oil Palm Breeding.
• WENG KIN LAI, TOMAS MAUL, IMAN YI LIAO and KAM MENG GOH, 2021. Journal of the Institution of Engineers, Malaysia. 82(1),
• ZI YAN CHEN and IMAN YI LIAO, 2020. International Journal of Machine Learning and Computing. 10(1), 122-127
• WENG SAN WONG, MOHAMMED AMER, TOMAS HENRIQUE MAUL, IMAN YI LIAO and AMR AHMED, 2020. Conditional Generative Adversarial Networks for Data Augmentation in Breast Cancer Classification. In: Recent Advances on Soft Computing and Data Mining
• CASPER OAKLEY, LI BAI, IMAN YI LIAO, OLASIMBO AYODEJI ARIGBABU, NURLIZA ABDULLAH and MOHAMAD HELMEE MOHAMAD NOOR, 2019. In: 7th IAPR International Workshop on Computational Forensics, Lecture Notes in Computer Science. 11188. 89-102
• EAN HIN OOI, KHIY WEI LEE, YAP SHELLEY, MAHMOUD KHATTAB, IMAN YI LIAO, EAN TAT OOI, JI JINN FOO, SHALINI NAIR and AHMAD FAIZAL MOHD ALI, 2019. Computers in Biology and Medicine.
• LIM, W X, CHEN, Z-Y, AHMED, A, CHANDESA, T and LIAO, I-Y, 2019. In: The International Conference on Digital Image and Signal Processing (DISP 2019).
• JOI SAN TAN, IMAN YI LIAO, IBRAHIM VENKAT, BAHARI BELATON and P. T. JAYAPRAKASH, 2019. The Visual Computer.
• SHELLEY YAP, JASON KK CHEONG, EAN H OOI, IMAN Y LIAO, JI J FOO, SHALINI R NAIR and AHMAD F MOHD ALI, 2019. In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2887-2890
• ZI YAN CHEN and IMAN YI LIAO, 2019. In: International Conference on Computer and Drone Applications 2019 (Best Paper Award).
• EAN H. OOI, NICHOLAS J. Y. CHIA, EAN T. OOI, JI J. FOO, IMAN Y. LIAO, SHALINI R. NAIR and AHMAD F. MOHD ALI, 2018. International Journal of Hyperthermia.
• OLASIMBO AYODEJI ARIGBABU, IMAN YI LIAO, NURLIZA ABDULLAH and MOHAMAD HELMEE MOHAMAD NOOR, 2018. In: 9th International Conference on Brain Inspired Cognitive Systems(BICS 2018) ​.
• ASPALILAH ALIAS, ABDELNASSER IBRAHIM, SITI NORAIN ABU BAKAR, MOHAMAD SWARHIB SHAFIE, SRIJIT DAS, NURLIZAH ABDULLAH, HELMEE MOHAMAD NOR, IMAN YI LIAO and FARIDAH MOHD NOR, 2018. Clinica Terapeutica.
• OLASIMBO AYODEJI ARIGBABU, IMAN YI LIAO, NURLIZA ABDULLAH and MOHAMAD HELMEE MOHAMAD NOOR, 2017. IPSJ Transactions on Computer Vision and Applications. 9(19), 1-15
• PAN ZHENG, BAHARI BELATON, IMAN YI LIAO and ZAINUL AHMAD RAJION, 2017. PLOS ONE. 11(9), 1-25
• JOI SAN TAN, IBRAHIM VENKAT, IMAN YI LIAO and PHILIPPE DE WILDE, 2016. In: BMVC 2016.
• OLASIMBO ARIGBABU, IMAN YI LIAO, NURLIZA ABDULLAH and MUHAMMAD HELMEE, 2016. In: The 13th Asian Conference on Computer Vision (ACCV'16).
• JUNFEN CHEN, IMAN YI LIAO, BAHARI BELATON and MUNIR ZAMAN, 2015. Journal of Intelligent and Fuzzy Systems. 28(5), 2297-2308
• ASHRAF MAGHARI, IMAN YI LIAO, IBRAHIM VENKAT and BAHARI BELATON, 2015. In: 4th International Visual Informatics Conference. IVIC 2015, LNCS 9429. 1-18
• ASHRAF MAGHARI, IBRAHIM VENKAT, IMAN YI LIAO and BAHARI BELATON, 2014. IET Computer Vision. 8(5), 441 - 454
• JUNFEN CHEN, MUNIR ZAMAN, IMAN YI LIAO and BAHARI BELATON, 2014. Bi-Stage Large Point Set Registration Using Gaussian Mixture Models. In: Computer Vision -- ACCV 2014 Part V, LNCS 9007. Springer.
• JUNFEN CHEN, IMAN YI LIAO, BAHARI BELATON and MUNIR ZAMAN, 2013. World Wide Web.
• ASHRAF Y. A. MAGHARI, IBRAHIM VENKAT, IMAN YI LIAO and BAHARI BELATON, 2013. International Journal of Advances in Soft Computing and Its Applications (IJASCA). 5(2), 4
• ASHRAF MAGHARI, IBRAHIM VENKAT, IMAN YI LIAO and BAHARI BELATON, 2013. In: 3rd International Visual Informatics Conference 2013. 300-310
• ASHRAF MAGHARI, IBRAHIM VENKAT, IMAN YI LIAO and BAHARI BELATON, 2013. Effect of Training Sample on Reconstructing 3D Face Shapes from Feature Points. In: Advances in Information Technology: 6th International Conference, IAIT 2013, Bangkok, Thailand, December 12-13, 2013. Proceedings 409. Springer International Publishing. 131-140
• ASHRAF MAGHARI, IMAN YI LIAO and BAHARI BELATON, 2012. In: ICONIP2012/LNCS. 7667. 516–524
• ASHRAF MAGHARI, IMAN YI LIAO and BAHARI BELATON, 2012. . In: DI GIAMBERARDINO ET AL., ed., Computational Modeling of Objects Presented in Images:Fundamentals, Methods and Applications 3rd Edition. Taylor & Francis Group. 13-18
• PAN ZHENG, BAHARI BELATON, IMAN YI LIAO and Z. A. RAJION, 2011. In: IEEE Symposium on Computers & Informatics 2011 (ISCI 2011). 413-418
• PAN ZHENG, BAHARI BELATON, IMAN YI LIAO and Z. A. RAJION, 2011. In: Proceedings of the Second international conference on Visual informatics: sustaining research and innovations (IVIC’11)/LNCS. Part I. 196-205
• IMAN YI LIAO and MUNIR ZAMAN, 2010. The Visual Computer. 26, 997-1005
• M. AZMI AL-BETAR, A. T. KHADER and IMAN YI LIAO, 2010. A harmony search algorithm with multi-pitch adjusting rate for university course timetabling. In: Z. GEEM, ed., Recent Advances In Harmony Search Algorithm: Studies in Computational Intelligence (SCI) 270.
• BAHARI BELATON, Z. A. RAJION, IMAN YI LIAO, PAN ZHENG and Z. ZAINUDIN, 2010. Automatic 3D Landmarks Detection and Placement on Craniofacial Data In: 4th International Conference on Postgraduate Education ICPE-4. Best Poster Award
• JOI SAN TAN, IMAN YI LIAO, PAN ZHENG and BAHARI BELATON, 2010. In: Proceedings of the IADIS International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2010). 133–140
• MUNIR ZAMAN and IMAN YI LIAO, 2010. In: Proceedings of the 2010 Fourth Asia International Conference on Mathematical/ Analytical Modelling and Computer Simulation (AMS ’10), IEEE Computer Society. 106–111
• IMAN YI LIAO, PAN ZHENG and BAHARI BELATON, 2009. In: ECCOMAS Thematic Conferences on Computer Vision and Medical Image Processing.
• IMAN YI LIAO, PAN ZHENG and BAHARI BELATON, 2009. In: Proceedings of the 6th International Conference on Computer Graphics, Imaging and Visulization. CGIV’09. IEEE Computer Society. 475–479
• PAN ZHENG, BAHARI BELATON and IMAN YI LIAO, 2009. Crest Line Generation on Implicit Surface: A Review. In: Proceeding of Symposium of USM Fellowship Holders 879–886
• PAN ZHENG, BAHARI BELATON and IMAN YI LIAO, 2009. In: Proceedings of the Third Asia International Conference on Modelling & Simulation. AMS ’09. IEEE Computer Society. 555–559
• IMAN YI LIAO, MARIA PETROU and RONGCHUN ZHAO, 2008. Computer Vision and Image Understanding. 109(3), 227-243
• IMAN YI LIAO, 2007. Shape from Terrain Image Using Windowed Fourier Transform In: ROVISP07.
• IMAN YI LIAO and RONGCHUN ZHAO, 2006. In: Proceedings of the Second international conference on Advances in Natural Computation. ICNC’06/LNCS. Part II. 714–723
• HONGBO YU, RONGCHUN ZHAO and YI LIAO, 2005. Journal of Northwestern Polytechnical University (Chinese). 23(3), 303-306
• MING XU, YI LIAO, YANNING ZHANG and RONGCHUN ZHAO, 2004. Computer Engineering and Applications (Chinese). 40(2), 20-22
• YANNING ZHANG, JIANGBIN ZHENG and YI LIAO, 2002. Journal of Northwestern Polytechnical University (Chinese). 20(4), 536-539
• YI LIAO and RONGCHUN ZHAO, 2001. Signal Processing (Chinese). 5-6, 521-527
• YI LIAO and RONGCHUN ZHAO, 2001. Journal of Image and Graphics (Chinese). 6(A)(10), 953-961
• YI LIAO and RONGCHUN ZHAO, 2001. System Simulation (Special Issue, in Chinese). 13, 30-32
• YI LIAO and RONGCHUN ZHAO, 2000. Signal Processing (Special Issue, in Chinese). 17, 395–399
• YI LIAO and RONGCHUN ZHAO, 2000. In: Proceedings of China’s First national Conference on Stereo Vision. (Chinese),. 310–315