曹兆洋 电气与电子工程副教授
电气与电子工程系 / 理工学院



联系方式 办公室
理工楼421

校园
宁波诺丁汉大学

地址
浙江省宁波市泰康东路199号

电话
+86 574 8818 0000-3631

邮箱
david.cho@nottingham.edu.cn



学历
BEng (Hons)
PhD
MIEEE
MIET

个人简介
曹兆洋博士从2011年9月开始担任宁波诺丁汉大学工程系电气与电子工程专业的副教授。他曾经是新加坡南洋理工大学（NTU）计算机工程学院的助理教授。同时，他还曾是该校法医与安全实验室（简称ForSe实验室）的主管。在他的任期内，他领导实验室致力于生物统计学和法医分析方面的计算机技术应用的研究。他是从色差未提中找出多颜色形状的神经颜色反射率模型的共同发明人，他已经在国际顶级杂志上发表了数篇与此相关的论文。曹博士1999年获得了香港城市大学的博士学位。他的研究课题是开发用于3D形状重构的有效神经网络学习算法。他已经出版了一本专著，5个书刊章节和50多篇技术论文，其中有20多篇论文都是发表在顶级国际杂志（例如IEEE反式神经网络、IEEE反式知识与数据工程、神经计算和模式识别等）上的。曹博士作为主要研究人员获得了来自于新加坡教育部、信息通信研究院和新加坡南洋理工大学的多项研究补助。在2003年，他还作为合作研究者与其他研究者共同获得了竞争非常激烈的香港科研补助金委员会提供的研究项目补助金（40,000美元）。
他在计算智能、模式识别和计算机视觉方面都有广泛研究。从最近的出版物来看，他在计算智能、图像分析和计算机视觉方面都做出了积极的贡献。他的长期研究计划是建立一个研究纲领，利用计算技术解决不同领域（医疗保健、教育、国土安全，甚至是社会科学）的现实问题。


教学
宁波诺丁汉大学本科生教学内容:
电气与电子工程入门
电子工程学
通信工程入门
加入宁波诺丁汉大学之前本科生教学内容:
计算机视觉与图像处理
应用信息技术
设计与开发项目
研究生教学内容:
博士生和硕士生导师


研究方向
计算智能、模式识别和型号加工领域的基础知识和应用，特别是：
-神经网络及其应用——针对3D形状重构的神经反射率模型；针对结构模式适应过程的递归神经网络。
-认知系统——物体与人脸识别中的自组织人类视觉皮质模型与应用；针对阿尔兹海默氏病和孤独症的辅助技术
-模式识别——鲁棒性人脸识别、场景识别与理解、生物计量与安全技术
-生物医学应用——激光散斑对比成像、功能性MRI、阿尔兹海默氏病和孤独症EEG分析


荣誉职位
编辑委员会1. 计算机科学杂志，信息学与电气工程，ISSN 1556-6757，国际科学期刊。
2. 国际图像处理杂志（IJIP），ISSN 1985-2304， CSC杂志。
3. 国际智能信息处理杂志，ISSN 2093-1964， HumanPub。
杂志特刊客座编辑1. IEICE信息与系统学报《多媒体信号处理技术和应用研究进展》特刊。
博士生答辩校外评审1. 印度金奈安那大学博士论文《有效的演讲者独立演讲识别系统设计与实现》校外评审。
2.新加坡南洋理工大学博士论文《基于数据的神经模糊系统》校外评审
3. 新加坡南洋理工大学博士论文《专注于精确性和可解释性的混合智能系统》校外评审
国际期刊审稿人IEEE神经网络学报；IEEE计算机学报；IEEE系统、人与控制处理学报B部分；神经计算；神经处理快报；模式识别；神经计算与应用；信息科学；连接科学；知识库系统。
会议组织者筹备委员会主席
信号处理与应用跟踪委员会联合主席——IEEE TENCON 2010，日本北九州
筹备委员会成员
IEEE ICARCV 2012——第12届国际控制、自动化、机器人与视觉会议，中国广州
ICONIP’10——第17届国际神经信息处理会议，澳大利亚悉尼
BIFE2010——第3届国际商业智能与金融工程会议
ICONIP’09——第16届国际神经信息处理会议，泰国曼谷
MWNS'09——2009国际移动与无线网络安全研讨会，德国亚琛
ICAI'08——2008国际人工智能会议，美国拉斯维加斯
IPCV'08——2008国际图像处理、计算机视觉与模式识别会议，美国拉斯维加斯
FSKD 2005——第2届国际模糊系统与知识挖掘会议
章节组织者及主席
IEEE ICIEA 2012 “人工神经网络”例会
IEEE TENCON 2010“面部识别”例会
IEEE ICARCA 2010“新兴计算机视觉先进理念”
IEEE ISIE 2009 “计算机视觉 1”例会
IJCNN 2008 “强化学习 1”例会
ICAI 2007 “神经网络与应用”例会
ICARCA 2004 “计算机视觉中的神经网络应用”特别会议
2005 FSKD第2届国际会议“认知计算机视觉中的神经与模糊计算”特别会议
大学管理职务宁波诺丁汉大学理工学院电气与电子工程系系主任
学院董事会成员
理工学院教学委员会成员
英国诺丁汉大学质量管控委员会成员（中国校区代表）


发表文章
Books and monographs:1.Neural Networks and Computing: Learning Algorithms and Applications, T.W.S. Chow andSiu-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 Choand 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 andSiu-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 Choand Jia-Jun Wong, “Probabilistic based Recursive Model for Face Recognition”, inLecture 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 GuptaandSiu-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 andSiu-Yeung Cho, “Edge curvature and convexity based ellipse detection method”,Pattern Recognition(SCIimpact 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 , andSiu-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 andSiu-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 andSiu-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 andSiu-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 andSiu-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 andSiu-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 Choand 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 andSiu-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 andSiu-Yeung Cho, "DCT-Yager FNN: A novel Yager based Fuzzy Neural Network with the Discrete Clustering Technique",IEEE Transactions on Neural Networks(SCIimpact factor: 2.889), vol. 19, no. 4, pp. 625-644, 2008.
17.L. Wang, G. Leedham andSiu-Yeung Cho, "Minutiae Feature Analysis for Infrared Hand Vein Pattern Biometrics",Pattern Recognition(SCIimpact factor: 2.554), 41 (3), pp. 920-929, 2008.
18.T. Xiang, Maylor K.H. Leung andSiu-Yeung Cho, “Expression recognition using fuzzy spatio-temporal modeling”,Pattern Recognition(SCIimpact 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 Choand F. Li, "Mining User Hidden Semantics from Image Content for Image Retrieval",Journal of Visual Communication and Image Representation(SCIimpact factor: 1.326), vol. 19, iss. 3, pp. 145-164, 2008.
21.Lingyu Wang, Graham Leedham andSiu-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 Choand Jia-Jun Wong, “Human face recognition by adaptive processing of tree structures representation”,Neural Computing and Applications(SCIimpact factor: 0.812), 17 (3), pp. 201-215, 2008.
23.L. Wang, G. Leedham andS.-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 andSiu-Yeung Cho, "Local Experts Organization Model for Natural Scene Images classification",Neural Processing Letters(SCIimpact factor: 1.015), vol. 26, no. 2, pp. 83-99, 2007.
25.Jia-Jun Wong andSiu-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 Choand T.W.S. Chow, “Robust Face Recognition By Using Generalised Neural Reflectance Model”Neural Computing and Applications(SCIimpact factor: 0.812), vol. 15, pp. 170-182, 2006.
27.Siu-Yeung Choand Z. Chi, “Genetic Evolution Processing of Data Structures for Image Classification”,IEEE Transactions on Knowledge and Data Engineering(SCIimpact 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 Letters(SCIimpact factor: 1.015), Vol. 17, no. 2, pp. 175-190, April 2003.
30.Siu-Yeung Choand T.W.S. Chow, “A New colour 3D SFS methodology Using Neural based Colour Reflectance Models and Iterative Recursive method”,Neural Computation(SCIimpact factor: 2.175), vol. 14, no. 11, pp. 2751-2789, Nov. 2002.
31.T.W.S. Chow andSiu-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 Letters(SCIimpact factor: 1.015), vol. 16, no. 2, pp. 121-136, Oct. 2002.
33.Siu-Yeung Choand 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 Choand T.W.S. Chow, "Enhanced 3D Shape Recovery Using Neural Based Hybrid Reflectance Model",Neural Computation(SCIimpact 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 Choand 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 Choand T.W.S. Chow, "A Neural Learning based Reflectance Model for 3-D Shape Reconstruction",IEEE Transactions on Industrial Electronics(SCIimpact factor: 4.678), Vol. 47, No. 6, pp. 1346-50, December 2000.
38.Siu-Yeung Choand T.W.S. Chow, “Shape and Surface Measurement Technology by An Improved Shape From Shading Neural Algorithm”,IEEE Transactions on Industrial Electronics(SCIimpact factor: 4.678), vol. 47, no. 1, Feb. 2000.
39.T.W.S. Chow, X. Li andSiu-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(SCIimpact factor: 3.007), vol. 29, no. 4, pp. 534-540, Aug. 1999.
41.Siu-Yeung Choand 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 Choand T.W.S. Chow, “Training Multilayer Neural Networks Using Fast Global Learning Algorithm - Least Squares and Penalized Optimization Methods”,Neurocomputing(SCIimpact factor: 1.440), vol. 25, no. 1-3, pp. 115-131, 1999.
43.T.W.S. Chow, J.Y.-F. Yam andSiu-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 Choand T.W.S. Chow, “A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations platform”,Neural Processing Letters(SCIimpact factor: 1.015), vol. 10, no. 2, pp. 111-120, 1999.
45.Siu-Yeung Choand T.W.S. Chow, “A Fast Heuristic Global Learning Algorithm for Multilayer Neural Networks”,Neural Processing Letters(SCIimpact factor: 1.015), vol. 9, no. 2, pp. 177-187, 1999.
46.Siu-Yeung Choand T.W.S. Chow, “A Layer-by-Layer Least Squares based Recurrent Networks Training Algorithm: Stalling and Escape”,Neural Processing Letters(SCIimpact factor: 1.015), vol. 7, no. 1, pp. 15-25, February 1998.
47.T.W.S. Chow andSiu-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(SCIimpact factor: 2.043), vol. 44, no. 11, pp. 1082-1085, November 1997.
48.T.W.S. Chow, G. Fei andSiu-Yeung Cho, “Higher-Order Cumulants Based Least Squares for Nonmimum Phase System Identification,”IEEE Transactions on Industrial Electronics(SCIimpact factor: 4.678), Vol. 44, No. 5, pp. 707-717, Oct., 1997.
49.T.W.S. Chow andSiu-Yeung Cho, “Development of a Recurrent Sigma-Pi Neural Network Rainfall Forecasting System in Hong Kong,”Neural Computing & Applications(SCIimpact factor: 0.812), vol. 5, pp. 76-98, 1997.
50.Siu-Yeung Choand 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 andSiu-Yeung Cho, “A novel neural based Rainfall Nowcasting System in Hong Kong,”Journal of Intelligent Systems, vol. 7, no. 3-4, 1997.


学术交流
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 2010,Las 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 the5th 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”, inIEEE 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”, inIEEE 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”, in2009 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”, inFirst 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”, inThe 2008 International Symposium on Applied Computing and Computational Sciences (ACCS 2008), August 2008, Hong Kong.
14.Anh-Duc Do,Siu-Yeung Choand Yew-Soon Ong, “A Multi-Objective Memetic Algorithm Based Clustering Method”, inThe 2008International 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”, inThe 2008International Conference on Artificial Intelligence, July 2008, Las Vegas, USA.
16.Lei Zheng,Siu-Yeung Choand Chai Quek, “A Memory-based Reinforcement Learning Algorithm for Partially Observable Markovian Decision Processes”, inIEEE World Congress on Computational Intelligence, June, 2008, Hong Kong, China.
17.Yok-Yen Nguwi andSiu-Yeung Cho, “Two-tier Self-Organizing Visual Model for Road Sign Recognition”, inIEEE 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 andSiu-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 andSiu-Yeung Cho, “Memetic Algorithm Based Fuzzy Clustering”,IEEE Congress on Evolutionary Computation, Sept. 2007, Singapore.
23.Siu-Yeung Choand 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 Choand 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 andSiu-Yeung Cho, “Adaptive Processing of Face Emotion Tree Structures”International Conference on Pattern Recognition ICPR2006, Aug 2006, Hong Kong.
26.Jia-Jun Wong andSiu-Yeung Cho,“Recognizing Human Emotion From Partial Facial Features”, inIEEE World Congress on Computational Intelligence, July 2006, Vancouver, Canada.
27.Jia-Jun Wong andSiu-Yeung Cho, “Facial Emotion Recognition by Adaptive Processing of Data Structures”, in2006 ACM Symposium on Applied Computing, April 2006, Dijon France.
28.Siu-Yeung Choand Jia-Jun Wong, "Robust Facial Recognition By Localized Gabor Features", in Proc. of the8th 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 Choand 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 6^thInternational 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 16^thInternational 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 Choand 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 andSiu-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 andSiu-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 Choand 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 Choo, 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 andSiu-Yeung Cho, “Neural Network Application: Rainfall Forecasting System in Hong Kong,”Proceeding of 4^thEuropean Symposium on Artificial Neural Networks,pp. 297-302, April 1996., pp. 297-302, April 1996.


科研项目 / 研究基金
1. 中国宁波自然科学基金会主要研究人员——2012年宁波科技局项目《针对使用表情识别系统对早期阿尔兹海默氏病患者进行异常和鲁棒性面部识别的研究》
2.新加坡教育部主要研究人员——2011年获得《CAPESR:针对自闭症儿童面部情绪识别障碍的辅助设备开发》项目的1级学术研究基金（90,000新元）
3.新加坡教育部合作研究员——2009年获得《针对弱视群体的目标共空间匹配》项目的1级学术研究基金（100,000新元）
4. 新加坡教育部主要研究人员——2008年获得《在热图像中使用面部血管网络进行个人身份认证》项目的1级学术研究基金（51,500新元）
5. 2007年新加坡A-Star人员因素工程试验计划《可疑人类情绪检测》项目的共同研究员（32,000新元）
6. 2006年新加坡A星信息通信研究院《声音生物计量特性法医学研究》项目主要研究人员（90,000新元）
7. 新加坡教育部主要研究人员——2004年获得《花卉图像内容分类、索引和检索数据结构适应性处理》项目启动补助金（13,356新元）
8. 2004年《通过基于模型的3D面部特征匹配进行鲁棒性面部识别》项目的主要研究人员，项目获得了新加坡南洋理工大学的启动补助金（6,500新元）
9. 2003年《图像分类数据结构适应性处理》项目的合作研究员，项目获得了香港科研补助金委员会的补助（300,000港元