David Siu-Yeung CHO

Associate Professor

Electrical and Electronic Engineering / Faculty of Science and Engineering
Staff Profile Portrait Image


Contact

Office

Room 421, Sir Peter Mansfield Building

Campus

University of Nottingham Ningbo China

Address

199 Taikang East Road, Ningbo, 315100, China

Telephone

+86 574 8818 0000-3631

Qualifications

BEng (Hons)

PhD

MIEEE

MIET 


Biography

Expertise summary

Dr. David Siu-Yeung CHO is an Associate Professor in Electrical and Electronic Engineering, Division of Engineering at The University of Nottingham Ningbo, China since Sept. 2011. He was an Assistant Professor in the School of Computer Engineering at Nanyang Technological University (NTU). Concurrently, he was the Director of Forensics and Security Laboratory (ForSe Lab) in the same school. In his tenure of directorship, he involves to create and organize the lab dedicated to research in the application of computational techniques to biometrics and forensics analysis. He is the co-inventor of the neural color reflectance model to tackle the multi-coloured shape from shading problem in which he has published several papers in the premium international journals. Dr. Cho earned his PhD from the City University of Hong Kong in 1999. His research topic was to develop an effective neural network learning algorithms in applying to the 3D shape reconstruction. He has published one monograph book, five book chapters, and over 50 technical papers in which more than 20 papers are in the top-notch international journals (IEEE Trans. Neural Network, IEEE Trans. Knowledge & Data Engineering, Neural Computation, Pattern Recognition,… etc). Dr. Cho received numerous research grants as a principal investigator, funded by Singapore Ministry of Education, Institute for Infocomm Research and NTU in Singapore. He also jointly received a highly competitive grant from Hong Kong Research Grant Council for fundable research project (~US$40,000) as a co-investigator in 2003.

He works extensively in the area of computational intelligence, pattern recognition and computer vision. The recent publication indicates the active contributions in the areas of computational intelligences, image analysis, and computer vision. The long-term research plan is to establish a research programme that making use of computational techniques to solve out the real-life problems in different areas, such as, healthcare, education, homeland security and even social sciences.

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University Administration

  • Associate Dean for Teaching & Learning, Faculty of Science and Engineering
  •  Head of Department (UNNC), Electrical & Electronic Engineering
  •  Faculty Management Board committee
  • Committee of UNNC Campus Teaching Committee
  • Faculty of Engineering, UoN, Teaching and Learning Board representative (UNNC)
  • UoN QSC representative (UNNC)

Teaching

University of Nottingham Ningbo China

Undergraduate:

Introduction in Electrical and Electronic Engineering

Electronic Engineering

Introduction in Communication Engineering

Prior to joining UNNC

Undergraduate:

Computer Vision and Image Processing

Applying IT

Design and Development Project

Postgraduate:

PhD and MSc supervisions

External PhD thesis examiner

1.     External examiner for the PhD Thesis “Design and Implementation of an Efficient Speaker Independent Speech Recognition System” from Anna University Chennai, India.

2.     External examiner for the PhD Thesis “Data-based Neuro-fuzzy System” from Nanyang Technological University, Singapore

3.     External examiner for the PhD Thesis “A Hybrid Intelligent System Focuses on Both Accuracy and Interpretability” from Nanyang Technological University, Singapore


Research interests

Research interests

Foundations and applications of computational intelligence, pattern recognition and signal processing, in particular:

Neural Networks and its applications – neural reflectance model for 3D shape reconstruction; recursive neural network for adaptive processing of structural patterns.

Cognitive System – Self-organizing human visual cortex model and applications in object/face recognition; Assistive technology for Alzheimer’s Disease and Autism.

Pattern Recognition – robust face recognition, scene recognition and understanding, biometric and security technologies.

Biomedical applications – Laser Speckle Contrast Imaging, functional MRI, EEG analysis for Alzheimer’s Disease and Autism.


Honorary positions

Editorial board

1.     Journal of Computer Science, Informatics and Electrical Engineering, ISSN 1556-6757, Scientific Journals International.

2.     International Journal of Image Processing (IJIP), ISSN 1985-2304, CSC Journal.

3.     International Journal of Intelligent Information Processing, ISSN 2093-1964, HumanPub.

Guest editor in journal special issue

1.     Special Issue of “Recent Advances in Multimedia Signal Processing Techniques and Applications” in IEICE Transactions on Information and Systems.

International journal reviewer

IEEE Transaction on Neural Networks; IEEE Transaction on Computer; IEEE Transaction on System, Man, and Cybernetic Part B; Neurocomputing; Neural Processing Letters; Pattern Recognition; Neural Computing and Applications; Information Sciences; Connection Sciences; Knowledge Based Systems.

Conference organizers

Program Chair

  • Co-Chair of Signal Processing & Applications Track – IEEE TENCON 2010, Kitakyushu, Japan

Program Committee

  • IEEE ICARCV 2012 – The 12th International Conference on Control, Automation, Robotics and Vision, Guangzhou, China.
  • ICONIP’10 – The 17th International Conference on Neural Information Processing, Sydney, Australia.
  • BIFE 2010 - The Third International Conference on Business Intelligence and Financial Engineering.
  • ICONIP’09 – The 16th International Conference on Neural Information Processing, Bangkok, Thailand.
  • MWNS'09 – The 2009 International Workshop on Mobile and Wireless Networks Security, Aachen, Germany.
  • ICAI'08 - The 2008 International Conference on Artificial Intelligence, Las Vegas, USA.
  • IPCV'08 - The 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, USA.
  • FSKD 2005 – 2nd International Conference on Fuzzy System and Knowledge Discovery

Session organizer and chair

  • Regular Session “Artificial Neural Network” in IEEE ICIEA 2012.
  • Regular Session “Face Recognition I “ in IEEE TENCON 2010 .
  • Special Session “Advanced Concept for Emerging Computer Vision “ in IEEE ICARCV 2010 .
  • Regular Session “Computer Vision I” in IEEE ISIE 2009
  • Regular Session “Reinforcement Learning I” in IJCNN 2008
  • Regular Session “Neural Networks and Applications” in ICAI 2007
  • Special Session “Neural Networks Applications in Computer Vision” in ICARCV 2004.
  • Special Session “Neural and Fuzzy Computation in Cognitive Computer Vision” in 2nd International Conference, FSKD 2005.

Publications

Books and monographs:

1.     Neural Networks and Computing: Learning Algorithms and Applications, T.W.S. Chow and Siu-Yeung Cho, Imperial College Press, 2007.

Book chapters:

1.     Siu-Yeung Cho, Teik-Toe Teoh and Yok-Yen Nguwi, “Advanced Feature Selection and Classification methods”, Advances in Face Image Analysis: Techniques and Technologies, Edited by Yu-Jin Zhang (Tsing Hua University), IGI Global Publishing, 2010.

2.     Lei Zheng, Siu-Yeung Cho and Chai Quek, “Reinforcement Based U-Tree: A Novel Approach for Solving POMDP”, Handbook on Decision Making, ISRL 4, Edited by: L.C. Jain and C.P. Lim, Springer-Verlag Berlin Heidelberg 2010.

3.     Jia-Jun Wong and Siu-Yeung Cho, "A Brain-inspired model for recognizing human emotional states from facial expression", Neurodynamics of Cognition and Consciousness, Edited by: Leonid I. Perlovsky and Robert Kozma, Springer-Verlag, 2007.

4.     Siu-Yeung Cho and Jia-Jun Wong, “Probabilistic based Recursive Model for Face Recognition”, in Lecture Notes in Artificial Intelligence: Fuzzy Systems and Knowledge Discovery, Springer Berlin, Vol. 3614, pp. 1245-54, 2005., Springer Berlin, Vol. 3614, pp. 1245-54, 2005.

5.     Z. Wang, Z. Chi, D. Feng, Siu-Yeung Cho, “Adaptive processing of tree-structure image representation”, Lecture Notes in Computer Science 2195: Advances in Multimedia Information Processing, Springer-Verlag, pp. 989-995, 2002.

Refereed international journal papers:

1.     Dilip K. Prasada, Maylor K.H. Leung, Chai Quek, Siu-Yeung Cho, "A novel framework for making dominant point detection methods non-parametric", Image and Vision Computing (SCI impact factor: 1.723), in press, 2012.

2.     Raj Kumar Gupta and Siu-Yeung Cho, “Stereo correspondence using efficient hierarchical belief propagation”, Neural Computing and Applications (SCI impact factor: 0.812)in press, 2012.

3.     Dilip K. Prasad, Maylor K.H. Leung and Siu-Yeung Cho, “Edge curvature and convexity based ellipse detection method”, Pattern Recognition (SCI impact factor: 2.554), vol. 45, Iss. 9, pp. 3204-3221, 2012.

4.     Alex Yong-Sang Chia, Shaojie Zhuo, Raj Kumar Gupta, Yu-Wing Tai, Siu-Yeung Cho, Ping Tan, Stephen Lin “Semantic colorization with internet images” ACM Transactions on Graphics (TOG), vol. 30, Iss. 6, Article No. 156, 2011.

5.     Lei Zheng , and Siu-Yeung Cho, “A modified Memory-based Reinforcement Learning Method for Solving POMDP Problems”, Neural Processing Letters (SCI impact factor: 1.015), in press, 2011.

6.     Siu-Yeung Cho, Chan Wai Ting and Chai Quek, “Thermal Facial Pattern Recognition for Personal Verification Using Fuzzy CMAC Model”, International Journal of Innovative Computing, Information and Control (IJICIC) (SCI impact factor: 2.932), vol. 7, no. 1, pp. 203-222, 2011.

7.     Yok-Yen Nguwi and Siu-Yeung Cho, “An unsupervised self-organizing learning with support vector ranking for imbalanced datasets”, Expert Systems with Applications (SCI impact factor: 2.908), vol. 37, iss. 12, pp. 8303-12, 2010.

8.     Yok-Yen Nguwi and Siu-Yeung Cho, “Support Vector based Emergent Self-Organizing Approach for Emotional Understanding” Connection Sciences (SCI impact factor: 0.806), vol. 22, iss. 4, pp. 355-371, 2010.

9.     Yok-Yen Nguwi, Teik-Toe Teoh and Siu-Yeung Cho, “Developing an Assistive Technology to Help Children with Autism for Recognizing Human Emotion”, HKIE Transactions, 2010 (shortlisted paper for The HKIE Outstanding Paper Award for Young Engineers/Researchers 2010).

10.Yok-Yen Nguwi and Siu-Yeung Cho, “Emergent Self-Organizing Feature Map for Recognizing Road Sign Images”, Neural Computing and Applications (SCI impact factor: 0.812), vol. 19, no. 4, pp. 601-615, 2010.

11.Jia-Jun Wong and Siu-Yeung Cho, “A face emotion tree structure representation with probabilistic recursive neural network modeling”, Neural Computing and Applications (SCI impact factor: 0.812), vol. 19, no. 1, pp. 33-54, Feb. 2010.

12.Wing-Cheong Wong, Siu-Yeung Cho and Chai Quek, “R-POPTVR: A Novel Reinforcement based POPTVR Fuzzy Neural Network for Pattern Classification”, IEEE Transactions on Neural Networks (SCI impact factor: 2.889), vol. 20, no. 11, pp. 1740-55, Nov. 2009.

13.Siu-Yeung Cho, Chai Quek, Shao-Xiong Seah and Chin-Hui Chong, “HebbR2-Taffic: A novel application of Neuro-Fuzzy Network for Visual Based Traffic Monitoring System”, Expert Systems with Applications (SCI impact factor: 2.908), 36, pp. 6343-6356, 2009.

14.Jia-Jun Wong and Siu-Yeung Cho, "A Local Experts Organization Model with Application to Face Emotion Recognition", Expert Systems with Applications (SCI impact factor: 2.908), 36, pp. 804-819, 2009.

15.Teik-Toe Teoh, Yok-Yen Nguwi and Siu-Yeung Cho, “Towards a Portable Intelligent Facial Expression Recognizer”, Intelligent Decision Technologies, vol. 3, no. 3, pp. 181-92, 2009.

16.A. Singh, C. Quek and Siu-Yeung Cho, "DCT-Yager FNN: A novel Yager based Fuzzy Neural Network with the Discrete Clustering Technique", IEEE Transactions on Neural Networks (SCI impact factor: 2.889), vol. 19, no. 4, pp. 625-644, 2008.

17.L. Wang, G. Leedham and Siu-Yeung Cho, "Minutiae Feature Analysis for Infrared Hand Vein Pattern Biometrics", Pattern Recognition (SCI impact factor: 2.554), 41 (3), pp. 920-929, 2008.

18.T. Xiang, Maylor K.H. Leung and Siu-Yeung Cho, “Expression recognition using fuzzy spatio-temporal modeling”, Pattern Recognition (SCI impact factor: 2.554), 41(1), pp. 204-216, 2008.

19.Siu-Yeung Cho, “Probabilistic Based Recursive Model for Adaptive Processing of Data Structures”, Expert Systems with Applications (SCI impact factor: 2.908), 32 (2), pp. 1403-1422, Feb 2008.

20.X. Shen, S. Ju, Siu-Yeung Cho and F. Li, "Mining User Hidden Semantics from Image Content for Image Retrieval", Journal of Visual Communication and Image Representation (SCI impact factor: 1.326), vol. 19, iss. 3, pp. 145-164, 2008.

21.Lingyu Wang, Graham Leedham and Siu-Yeung Cho, “A Physiological Vein Pattern Biometric System”, HKIE Transactions, vol. 15, iss. 4, Dec. 2008 (shortlisted paper for The HKIE Outstanding Paper Award for Young Engineers/Researchers 2008).

22.Siu-Yeung Cho and Jia-Jun Wong, “Human face recognition by adaptive processing of tree structures representation”, Neural Computing and Applications (SCI impact factor: 0.812), 17 (3), pp. 201-215, 2008.

23.L. Wang, G. Leedham and S.-Y. Cho, "Infrared imaging of hand vein patterns for biometric purposes", IET Computer Vision (SCI impact factor: 0.969), vol. 1, Iss. 3-4, pp. 113-122, Dec. 2007.(), vol. 1, Iss. 3-4, pp. 113-122, Dec. 2007.

24.Jia-Jun Wong and Siu-Yeung Cho, "Local Experts Organization Model for Natural Scene Images classification", Neural Processing Letter(SCI impact factor: 1.015), vol. 26, no. 2, pp. 83-99, 2007.

25.Jia-Jun Wong and Siu-Yeung Cho, “A Brain-Inspired Framework for Emotion Recognition”, Neural Information Processing—Letters and Reviews, Vol. 10, No. 7, pp. 169-79, July 2006.

26.Siu-Yeung Cho and T.W.S. Chow, “Robust Face Recognition By Using Generalised Neural Reflectance Model” Neural Computing and Applications (SCI impact factor: 0.812), vol. 15, pp. 170-182, 2006.

27.Siu-Yeung Cho and Z. Chi, “Genetic Evolution Processing of Data Structures for Image Classification”, IEEE Transactions on Knowledge and Data Engineering (SCI impact factor: 2.285), vol. 17, no. 2, pp. 261-31, Feb. 2005.

28.Siu-Yeung Cho, Z. Chi, W.C. Siu and A.C. Tsoi, “An Improved Algorithm for Learning Long-Term Dependency Problem in Adaptive Processing of Data Structures”, IEEE Transactions on Neural Networks (SCI impact factor: 2.889), Vol. 14, Iss. 4, pp. 781-793, July 2003.

29.Siu-Yeung Cho, Z. Chi, Z. Wang and W.C. Siu, “An Efficient Learning Algorithm for Adaptive Processing of Data Structure”, Neural Processing Letter(SCI impact factor: 1.015), Vol. 17, no. 2, pp. 175-190, April 2003.

30.Siu-Yeung Cho and T.W.S. Chow, “A New colour 3D SFS methodology Using Neural based Colour Reflectance Models and Iterative Recursive method”, Neural Computation (SCI impact factor: 2.175), vol. 14, no. 11, pp. 2751-2789, Nov. 2002.

31.T.W.S. Chow and Siu-Yeung Cho, “Industrial neural vision system for underground railway station platform surveillance”, Advanced Engineering Informatics (SCI impact factor: 1.730), vol. 16, pp. 73-83, 2002.

32.Siu-Yeung Cho, T.W.S. Chow and K.T. Ng, “Shape From Shading by Using Neural Based Colour Reflectance Model”, Neural Processing Letter(SCI impact factor: 1.015), vol. 16, no. 2, pp. 121-136, Oct. 2002.

33.Siu-Yeung Cho and T.W.S. Chow, “Neural Computation Approach for Developing a 3-D Shape Reconstruction Model”, IEEE Transactions on Neural Networks (SCI impact factor: 2.889), Vol. 12, No. 5, pp. 1204-1214, Sept 2001.

34.Siu-Yeung Cho and T.W.S. Chow, "Enhanced 3D Shape Recovery Using Neural Based Hybrid Reflectance Model", Neural Computation (SCI impact factor: 2.175), vol. 13, no. 11, pp. 2617-2637, Nov. 2001.

35.Tommy W.S. Chow, Siu-Yeung Cho, and John K. L. Ho, “A neural network Based shape-from-shading measuring technique for engineering industries”, Journal of the Institute of Measurement and Control, vol. 34, iss., 7, Sept 2001, pp. 212-215 (invited special issue on neural applications).  

36.Siu-Yeung Cho and T.W.S. Chow, "Learning parametric specular reflectance model by radial basis function networks", IEEE Transactions on Neural Networks (SCI impact factor: 2.889), Vol. 11, No. 6, pp. 1498-1503, November 2000.

37.Siu-Yeung Cho and T.W.S. Chow, "A Neural Learning based Reflectance Model for 3-D Shape Reconstruction", IEEE Transactions on Industrial Electronics (SCI impact factor: 4.678), Vol. 47, No. 6, pp. 1346-50, December 2000.

38.Siu-Yeung Cho and T.W.S. Chow, “Shape and Surface Measurement Technology by An Improved Shape From Shading Neural Algorithm”, IEEE Transactions on Industrial Electronics (SCI impact factor: 4.678), vol. 47, no. 1, Feb. 2000.

39.T.W.S. Chow, X. Li and Siu-Yeung Cho, "An improved blind image restoration scheme using recurrent filtering", IEE Proceedings - Vision, Image and Signal Processing, vol. 147, no. 1, pp. 23-28, Feb. 2000.

40.Siu-Yeung Cho, T.W.S. Chow and C.T. Leung, “A Neural based Crowd Estimation by Hybrid Global Learning Algorithm”, IEEE Transactions on Systems, Man, and Cybernetic - Part B: Cybernetics (SCI impact factor: 3.007), vol. 29, no. 4, pp. 534-540, Aug. 1999.

41.Siu-Yeung Cho and T.W.S. Chow, "Shape Recovery From Shading by a New Neural based Reflectance model", IEEE Transactions on Neural Networks (SCI impact factor: 2.889), vol. 10, no. 6, pp. 1536-1540, Nov. 1999.

42.Siu-Yeung Cho and T.W.S. Chow, “Training Multilayer Neural Networks Using Fast Global Learning Algorithm - Least Squares and Penalized Optimization Methods”, Neurocomputing (SCI impact factor: 1.440), vol. 25, no. 1-3, pp. 115-131, 1999.

43.T.W.S. Chow, J.Y.-F. Yam and Siu-Yeung Cho, "Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations", Artificial Intelligence in Engineering, 13 (3) (1999) pp. 301-307.

44.Siu-Yeung Cho and T.W.S. Chow, “A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations platform”, Neural Processing Letters (SCI impact factor: 1.015), vol. 10, no. 2, pp. 111-120, 1999.

45.Siu-Yeung Cho and T.W.S. Chow, “A Fast Heuristic Global Learning Algorithm for Multilayer Neural Networks”, Neural Processing Letters (SCI impact factor: 1.015), vol. 9, no. 2, pp. 177-187, 1999.

46. Siu-Yeung Cho and T.W.S. Chow, “A Layer-by-Layer Least Squares based Recurrent Networks Training Algorithm: Stalling and Escape”, Neural Processing Letters (SCI impact factor: 1.015), vol. 7, no. 1, pp. 15-25, February 1998.

47.T.W.S. Chow and Siu-Yeung Cho, “An accelerated Recurrent Network Training algorithm using IIR filter model and Recursive Least Squares method,” IEEE Transactions on Circuits and Systems - I: Fundamental Theory and Applications (SCI impact factor: 2.043), vol. 44, no. 11, pp. 1082-1085, November 1997.  

48.T.W.S. Chow, G. Fei and Siu-Yeung Cho, “Higher-Order Cumulants Based Least Squares for Nonmimum Phase System Identification,” IEEE Transactions on Industrial Electronics (SCI impact factor: 4.678), Vol. 44, No. 5, pp. 707-717, Oct., 1997.

49.T.W.S. Chow and Siu-Yeung Cho, “Development of a Recurrent Sigma-Pi Neural Network Rainfall Forecasting System in Hong Kong,” Neural Computing & Applications (SCI impact factor: 0.812), vol. 5, pp. 76-98, 1997.

50.Siu-Yeung Cho and T.W.S. Chow, “An Efficient and Stable Recurrent Neural Networks Training Algorithm for Time series forecasting”, International Journal of Knowledge-Based Intelligent Engineering Systems, Vol. 1, No. 3, pp. 138-48, July 1997.

51.T.W.S. Chow and Siu-Yeung Cho, “A novel neural based Rainfall Nowcasting System in Hong Kong,” Journal of Intelligent Systems, vol. 7, no. 3-4, 1997.


Conference presentations

Refereed international conference papers:

1.     Siu-Yeung Cho, "Content-Based Structural Recognition for Flower Image Classification”,7th IEEE Conference on Industrial Electronics and Applications (ICIEA 2012), July 2012.

2.     Prasad, D.K., Chai Quek ; Leung, M.K.H. ; Siu-Yeung Cho, "A parameter independent line fitting method", 2011 First Asian Conference on Pattern Recognition (ACPR), 441 - 445, Nov. 2011.

3.     M.K.M. Raham, T.W.S. Chow and Siu-Yeung Cho, “A Segmentation based Approach for Shape Recovery from Multi-color Images”, ICARCV 2010, Dec 2010, Singapore.

4.     Raj Kumar Gupta and Siu-Yeung Cho, “A color-based approach for disparity refinement”, ICARCV 2010, Dec 2010, Singapore.

5.     Raj Kumar Gupta and Siu-Yeung Cho, “A Correlation-based Approach for Real-Time Stereo Matching”, 6th International Symposium on Visual Computing, Nov 2010Las Vegas, Nevada, USA.

6.     Di Liu, Siu-Yeung Cho, Dong-Mei Sun and Zheng-Ding Qiu, “A Spearman correlation coefficient ranking for matching-score fusion on speaker recognition”, TENCON 2010, Nov. 2010, Fukuoka, Japan.

7.     Siu-Yeung Cho and Nanda-Pwint Tin, “Using Infrared Imaging Technology for Concealed Weapons Detection and Visualization”, TENCON 2010, Nov. 2010, Fukuoka, Japan.

8.     Raj Kumar Gupta and Siu-Yeung Cho, “Real-time Stereo Matching using Adaptive Binary Window”, Paper Accepted at the 5th International Symposium on 3D Data Processing, Visualization and Transmission, May 2010, France.

9.     Teik-Toe Teoh, Yok-Yen Nguwi and Siu-Yeung Cho, “Intelligent Face Locator for Smartphone”, in IEEE International Symposium on Industrial Electronics 2009, July 2009, Seoul, Korea.

10.Siu-Yeung Cho, Lingyu Wang and Wen Jin Ong, “Thermal Imprint Feature Analysis for Face Recognition”, in IEEE International Symposium on Industrial Electronics 2009, July 2009, Seoul, Korea.

11.Yok Yen Nguwi and Siu Yeung Cho, “Support Vector Self-Organizing Learning for Imbalanced Medical Data”, in 2009 International Joint Conference on Neural Networks, June 2009, Atlanta, Georgia, USA.

12.Siu-Yeung Cho, Teik-Toe Teoh and Yok-Yen Nguwi, “Development of an Intelligent Facial Expression Recognizer for Mobile Applications”, in First KES International Symposium on Intelligent Decision Technologies, April 2009, Himeji, Japan.

13.Lingyu Wang, Siu-Yeung Cho, and Wee Jin Ong, “Analyzing Thermal Facial Patterns for Personal Verification”, in The 2008 International Symposium on Applied Computing and Computational Sciences (ACCS 2008), August 2008, Hong Kong.

14.Anh-Duc Do, Siu-Yeung Cho and Yew-Soon Ong, “A Multi-Objective Memetic Algorithm Based Clustering Method”, in The 2008 International Conference on Artificial Intelligence, July 2008, Las Vegas, USA.

15.Siu-Yeung Cho, and Teik-Toe Teoh, “A Real-time Facial Emotion Recognition System Using Fuzzy Neural Networks”, in The 2008 International Conference on Artificial Intelligence, July 2008, Las Vegas, USA.

16.Lei Zheng, Siu-Yeung Cho and Chai Quek, “A Memory-based Reinforcement Learning Algorithm for Partially Observable Markovian Decision Processes”, in IEEE World Congress on Computational Intelligence, June, 2008, Hong Kong, China.

17.Yok-Yen Nguwi and Siu-Yeung Cho, “Two-tier Self-Organizing Visual Model for Road Sign Recognition”, in IEEE World Congress on Computational Intelligence, June, 2008, Hong Kong, China.

18.Vladimir Pervouchine, Graham Leedham, Haishan Zhong, Siu-Yeung (David) Cho, Haizhou Li, “Comparative Study of Several Novel Acoustic Features for Speaker Recognition”, BIOSIGNALS (1) 2008: 220-223.

19.Haishan Zhong, Siu-Yeung (David) Cho, Vladimir Pervouchine, Graham Leedham, “Combining Novel Acoustic Features using SVM to Detect Speaker Changing Points”, BIOSIGNALS (1) 2008: 224-227.

20.Lingyu Wang, Graham Leedham and Siu-Yeung Cho, “Deriving filter parameters using dual-images for image de-noising”, 2007 International Symposium on Intelligent Signal Processing and Communications Systems ISPACS 2007, Dec. 2007, Xiamen, China.

21.Tong, R., Li, H., Bin, M., Chng E.S., Cho, S.-Y, “Spoken language recognition with relevance feedback”, IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP, April 2007, Honolulu, US.

22.Anh-Duc Do and Siu-Yeung Cho, “Memetic Algorithm Based Fuzzy Clustering”, IEEE Congress on Evolutionary Computation, Sept. 2007, Singapore.

23.Siu-Yeung Cho and Yok-Yen Nguwi, “Self-Organizing Adaptation for Facial Emotion Mapping”, The 2007 International Conference on Artificial Intelligence, June 2007, Las Vegas, US.

24.Siu-Yeung Cho and Peh-Ti Lim, “A novel Virus Infection Clustering for Flower Image Identification” International Conference on Pattern Recognition ICPR2006, Aug 2006, Hong Kong.

25.Jia-Jun Wong and Siu-Yeung Cho, “Adaptive Processing of Face Emotion Tree Structures” International Conference on Pattern Recognition ICPR2006, Aug 2006, Hong Kong.

26.Jia-Jun Wong and Siu-Yeung Cho, “Recognizing Human Emotion From Partial Facial Features”, in IEEE World Congress on Computational Intelligence, July 2006, Vancouver, Canada.

27.Jia-Jun Wong and Siu-Yeung Cho, “Facial Emotion Recognition by Adaptive Processing of Data Structures”, in 2006 ACM Symposium on Applied Computing, April 2006, Dijon France.

28.Siu-Yeung Cho and Jia-Jun Wong, "Robust Facial Recognition By Localized Gabor Features", in Proc. of the 8th International Workshop on Advance Imaging Technology, Korea, 2005.

29.Siu-Yeung Cho, “Region-based Tree Structures Representation for the Classification of Flowers, Proceedings of the International Workshop on Advance Imaging Technology, Singapore, 2004, pp. 5-10., Singapore, 2004, pp. 5-10.

30.Siu-Yeung Cho and Zheru Chi, “A Simple Genetic Approach to Adaptive Processing of Tree-Structure Patters”, International Conference on Artificial Intelligence/International Conference on Machine Learning, Models, Technologies and Applications, Las Vegas, NV, JUN 21-24, pp. 555-61.

31.Siu-Yeung Cho, Z. Chi and W.C. Siu, “Image Classification with Adaptive Processing of BSP Image Representation”, Proceedings of the 6th International Conference on Signal Processing, Beijing, China, 2002, vol. I pp. 925-28. , Beijing, China, 2002, vol. I pp. 925-28.

32.Siu-Yeung Cho, Z. Chi, Z. Wang and W.C. Siu, “Robust Learning in Adaptive Processing of Data Structures for Tree Representation based Image Classification”, Proceedings of the 16th International Conference on Pattern Recognition, Quebec City, Canada, 2002, vol. II, pp 108-111. , Quebec City, Canada, 2002, vol. II, pp 108-111.

33.Z. Wang, M. Hagenbuchner, A.C. Tsoi, Siu-Yeung Cho and Z. Chi, “Image Classification with Structured Self-Organization Map”, Proceedings of the 2002 International Joint Conference on Neural Networks IJCNN’02, vol. 2, pp. 1918-1923, May 2002, Honolulu, Hawaii, USA., vol. 2, pp. 1918-1923, May 2002, Honolulu, Hawaii, USA.

34.Z. Wang, Z. Chi, D. Feng and Siu-Yeung Cho, “Adaptive processing of tree-structure image representation”, Proceedings of the second IEEE Pacific-Rim Conference on Multimedia (PCM2001), pp. 989-995, Beijing, China, October 24-26, 2001. pp. 989-995, Beijing, China, October 24-26, 2001.

35.T.W.S. Chow and Siu-Yeung Cho, "Hybrid Global Learning Algorithm for Feedforward Neural Networks", Proceedings, The Sixth International Conference on Control, Automation, Robotics and Vision (ICARCV 2000) (invited paper), Dec. 2000, Singapore.

36.T.W.S. Chow, Siu-Yeung Cho and W.L. Ng, "A New Neural Network based Approach for 3D Shape Reconstruction from 2-D Image", Proceeding of IEE Intelligent control in Industry and Society (invited paper), July 99, Beijing.

37.Siu-Yeung Cho o, T.W.S. Chow and W.N. Chau, “A Novel Heuristic Global Learning Algorithm for Neural based Crowd Estimation at Underground Stations”, IEEE International Conference on Intelligence Processing Systems (IEEE ICIPS '98), Australia, August 1998, pp. 272-275.

38.T.W.S. Chow and Siu-Yeung Cho, “Neural Network Application: Rainfall Forecasting System in Hong Kong,” Proceeding of 4th European Symposium on Artificial Neural Networks, pp. 297-302, April 1996., pp. 297-302, April 1996.


Funded projects / Research grants

Research awards and grants

1.     Principal Investigator, Ningbo Natural Science Foundation, China – Ningbo S&T Bureau project “An investigation of a novel and robust facial identity with expression recognition system for early Alzheimer’s Disease patients”, 2012

2.     Principal Investigator, Singapore Ministry of Education - Academic Research Fund Tier 1 on project “CAPESR: Development of an assistive device for autistic children impaired recognition of facial emotion” (S$90,000), 2011

3.     Collaborator, Singapore Ministry of Education - Academic Research Fund Tier 1 on project “Object co-space matching for the visually impaired” (S$100,000), 2009

4.     Principal Investigator, Singapore Ministry of Education - Academic Research Fund Tier 1 on project “Using Facial Vascular Network in Thermal Images for Personal Authentication” (S$51,500), 2008

5.     Co-Investigator, Singapore A-Star Human Factor Eng. Pilot Programme on project “Detection of Suspicious Human Emotions” (S$32,000), 2007

6.     Principal Investigator, Singapore A-Star Institute for Infocomm Research on project “A Forensic Study of Voice Biometric Features” (S$90,000), 2006

7.     Principal Investigator, Singapore Ministry of Education - Start-Up Grant on project “Adaptive Processing of Data Structures for Image Content Classification, Indexing and Retrieval of Flowers” (S$13,356), 2004

8.     Principal Investigator, NTU Start-Up Grant on project “Robust Face Recognition by Model-based 3D Facial Surface Features Matching” (S$6,500), 2004

9.     Co-Investigator, Hong Kong Research Grant Council on project “Adaptive Processing of Data Structures for Image Classification”, (~HK$300,000), 2003