Dr Hongying (Lilian) Tang

Research Interests

Computer vision, Image processing, Probabilistic computation, Uncertainty reasoning, Machine learning, Classification, Natural language processing

Research Collaborations

Moorfields Eye Hospital, Royal Surrey County Hospital, Royal Botanic Gardens, Kew

Publications

Book chapters published:

[1] TANG, H. (2003, September 30). Handbook of video databases. In B. Furht, & O. Marques (Eds.), Handbook of video databases (pp. 593-611). CRC.
[2] Tang, H. L. (2002, January). Distributed multimedia databases. In T. K. Shih (Ed.), Distributed multimedia databases (pp. 379 pages), Chapter IV. IGI Global.
[3] Tang H, Natural Language Understanding, (book), Chapter 12-13, Tsinghua University Press, 1996.

Refereed Articles published:

[4] Corney DPA, Clark JY, Tang HL, Wilkin P, Automatic Extraction of Leaf Characters from Herbarium Specimens, accepted by TAXON.
[5] Tang, H. L., Peto, T., Goh, J., Jin, Y., & Chuluunkhuu, C. (2011, May). FILTERING NORMAL DIABETIC RETINOPATHY IMAGES THROUGH EVOLUTIONARY COMPUTATION. EUR J OPHTHALMOL, 21(3), 347-348.
[6] Baldas, V., Tang, L., Bountris, P., Saleh, G., & Koutsouris, D. (2010). A real-time automatic instrument tracking system on cataract surgery videos for dexterity assessment. Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB.
[7] Goh, J., Tang, L., Al Turk, L., & Jin, Y. (2011). Combining particle swarm optimisation with genetic algorithm for contextual analysis of medical images. HEALTHINF 2011 - Proceedings of the International Conference on Health Informatics, 235-241.
[8] Allinjawi A. A., Krause P, Tang L, and Al-Nuaim H A., On Experimental Design for Diagnosing Student Learning Problems in Higher Education, The 2011 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'11: July 18-21, 2011, USA)
[9] Goh, J., Tang, L., & Al Turk, L. (2010). Evolving the structure of hidden Markov models for micro aneurysms detection. 2010 UK Workshop on Computational Intelligence, UKCI 2010.
[10] Goh, J., Tang, L., Al Turk, L., Vrikki, C., & Saleh, G. (2010). Detection of micro aneurysms using multiple classifiers and hidden Markov models. HEALTHINF 2010 - 3rd International Conference on Health Informatics, Proceedings, 269-274.
[11] Goh, J., Tang, L. L., Saleh, G., Al Turk, L., Fu, Y., & Browne, A. (2009). Filtering Normal Retinal Images for Diabetic Retinopathy Screening Using Multiple Classifiers. In 2009 9TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS IN BIOMEDICINE (pp. 609-612). Larnaka, CYPRUS: IEEE.
[12] Ho, A. T. S., Zhu, X., & Tang, L. H. (2007). Digital watermarking authentication and restoration for Chinese calligraphy images. In S. Sanei, J. A. Chambers, J. McWhirter, Y. Hicks, & A. G. Constantinides (Eds.), Proceedings of the 2007 15th International Conference on Digital Signal Processing (pp. 483-486). Cardiff Univ, Cardiff, WALES: IEEE.
[13] Cheng, X. Q., Tan, S. B., & Tang, L. (2006, July). Using DragPushing to refine concept index for text categorization. J COMPUT SCI TECHNOL, 21(4), 592-596.
[14] Tang, L. (2006). Preface to the special issue on knowledge and informatics for virtual primary healthcare, International Journal of Healthcare Technology and Management, 7(5), 333-334.
[15] Chen, L., Tang, H. L., & Wells, I. (2005). Clinical content detection for medical image retrieval. In 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-7 (pp. 6441-6444). Shanghai, PEOPLES R CHINA: IEEE.
[16] Chen L, Tang H L, Wells I, “Determining Clinical Context in a Large-Scale Histological Image Database”, Medical Image Understanding and Analysis 2005, Bristol, 19-20 July 2005.
[17] Tang H L, Chen L, “Organ Origin Identification Based on Fine Feature Analysis Using Support Vector Machines”, International Journal of The Computer, The Internet and Management (IJCIM), Vol. 12, No.3, pp.22-31, (September-December, 2004).
[18] Chen, L., & Tang, H. L. (2004, February 19). Improved computation of beliefs based on confusion matrix for combining multiple classifiers. ELECTRON LETT, 40(4), 238-239. doi:10.1049/el:20040176.
[19] Tang, H. L., Hanka, R., & Ip, H. H. S. (2003, March). Histological image retrieval based on semantic content analysis. IEEE TRANSACTION ON INF TECHNOL IN BIOMEDICINE, 7(1), 26-36. doi:10.1109/TITB.2003.808500.
[20] Chen L, Tang H L, “Dynamic Knowledge Base Updating through Learning from Feedback for Semantic Analysis of Images”, Proceedings of the Third IASTED International Conference on Visualization, Imaging, and Image Processing, September 8-10, 2003, Benalmádena Spain, ISBN: 0-66986-382-2, pp. 522-527.
[21] Tang, H. L., & Chen, L. (2003). Improving automatic annotation for medical images based on feedback. In S. H. Chen, H. D. Cheng, D. K. Y. Chiu, S. Das, R. Duro, E. E. Kerre, . . . J. Wu (Eds.), PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES (pp. 1303-1306). RES TRIANGLE PK, NC: ASSOC INTELLIGENT MACHINERY.
[22] Zhao, T., Tang, L. H., Ip, H. H. S., & Qi, F. (2003). On relevance feedback and similarity measure for image retrieval with synergetic neural nets. Neurocomputing, 51, 105-124.
[23] Tang L H, Chen L, “IAnnotation - Medical Image Annotation System Based on Relevance Feedback” Proceedings of the International Conference on Intelligent Information Technology, ICIIT-02, Sept 22-25, 2002, pp 215-220, Beijing, China, sponsored by Chinese Computer Federation and in cooperation with IEEE Computer Society.
[24] Tang L, “Knowledge Elicitation and Semantic Representation for the Heterogeneous Web”, WWW journal, 5(3): 229-243, 2002.
[25] Tang L H, “Computerised Analysis of Aortic Distensibility on Computed Tomography Using a Temporal Active Contour Model”, Int. J. Healthcare Technology and Management, Vol. 4, No. 6, 2002, 433-450.
[26] Tang, L. H., Ip, H. H. S., Hanka, R., Cheung, K. K. T., & Lam, R. (2001). An image retrieval and annotation system based on semantic content. In N. Callaos, I. N. DaSilva, & J. Molero (Eds.), WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL 1, PROCEEDINGS (pp. 311-315). ORLANDO, FL: INT INST INFORMATICS & SYSTEMICS.
[27] Tang, L. H., Hanka, R., Ip, H. H. S., Cheung, K. K. T., & Lam, R. (2001). An intelligent system for integrating semantic and iconic features for image retrieval. Proceedings of Computer Graphics International Conference, CGI, 240-246.
[28] Zhao, T., Tang, L. H., Ip, H. H. S., & Qi, F. (2001). Visual keyword image retrieval based on synergetic neural network for web-based image search. Real-Time Systems, 21(1-2), 127-142.
[29] Lam, R. W. K., Ip, H. H. S., Cheung, K. K. T., Tang, L. H. Y., & Hanka, R. (2000). A multi-window approach to classify histological features. Proceedings - International Conference on Pattern Recognition, 15(2), 259-262.
[30] Tang, L. H. Y., Hanka, R., Ip, H. H. S., Cheung, K. K. T., & Lam, R. (2000). Integration of intelligent engines for a large scale medical image database. Proceedings of the IEEE Symposium on Computer-Based Medical Systems, 235-240.
[31] Tang, L. H. Y., Hanka, R., Ip, H. H. S., Cheung, K. K. T., & Lam, R. (2000). Semantic query processing and annotation generation for content-based retrieval of histological images. Proceedings of SPIE - The International Society for Optical Engineering, 3980, 366-375. (Cum Laude Award).
[32] Lam, R. W. K., Ip, H. H. S., Cheung, K. K. T., Tang, L. H. Y., & Hanka, R. (2000). Similarity measures for histological image retrieval. Proceedings - International Conference on Pattern Recognition, 15(2), 295-298.
[33] Lam, R. W. K., Cheung, K. K. T., Ip, H. H. S., Tang, L. H. Y., & Hanka, R. (2000). An iconic and semantic content based retrieval system for histological images. In R. Laurini (Ed.), ADVANCES IN VISUAL INFORMATION SYSTEMS, PROCEEDINGS Vol. 1929 (pp. 384-395). LYON, FRANCE: SPRINGER-VERLAG BERLIN.
[34] Cheung, K. K. T., Lam, R. W. K., Ip, H. H. S., Tang, L. H. Y., & Hanka, R. (2000). A software framework for combining iconic and semantic content for retrieval of histological images. In R. Laurini (Ed.), ADVANCES IN VISUAL INFORMATION SYSTEMS, PROCEEDINGS Vol. 1929 (pp. 488-499). LYON, FRANCE: SPRINGER-VERLAG BERLIN.
[35] Tang, L. H. Y., Hanka, R., & Ip, H. H. S. (1999). A review of intelligent content-based indexing and browsing of medical images. Health Informatics Journal, 5(1), 40-49.
[36] Cheung K, Ip H, Hanka R., Tang L H, Fuller G, “An Object-oriented Framework for Content-based Image Retrieval Using a 5-tier Architecture”, Proceedings of Asia Pacific Software Engineering Conference 99, pp. 174-177, Takamatsu, Japan, 7-10 Dec. 1999.
[37] Tang L H, Hanka R, Lam R., Fuller G., Cheung K, Ip H, “Automatic Semantic Analysis for Histological Images”, Medical Imaging Understanding and Analysis 99 (MIUA'99), Oxford, 19-20 July 1999.
[38] Tang, L. H., Hanka, R., Ip, H. H. S., & Lam, R. (1999). Extraction of semantic features of histological images for content-based retrieval of images. In G. J. Blaine, & S. C. Horii (Eds.), MEDICAL IMAGING 1999 - PACS DESIGN AND EVALUATION: ENGINEERING AND CLINICAL ISSUES Vol. 3662 (pp. 360-368). SAN DIEGO, CA: SPIE-INT SOC OPTICAL ENGINEERING.
[39] Tang L H, Hanka R, Lam R, Ip H, “Automatic Semantic Labelling of Medical Images for Content-Based Retrieval”, Proceedings of Expersys’98, pp. 77-82, Virginia Beach, USA, 16-17 November 1998.
[40] Tang, L. H., Hanka, R., & Ip, H. H. S. (1998). A system architecture for integrating semantic and iconic content for intelligent browsing of medical images. Proceedings of SPIE - The International Society for Optical Engineering, 3339, 572-580. (Honorable mention Award).
[41] Hanka, R., Ip, H. H. S., & Tang, H. Y. (1997). Computerised analysis of aortic distensibility on computed tomography. In B. Richards (Ed.), CURRENT PERSPECTIVES IN HEALTHCARE COMPUTING, CONFERENCE (pp. 157-165). HARROGATE, ENGLAND: B J H C LTD.
[42] Ip, H. H. S., Hanka, R., & Tang, L. H. (1997). Segmentation of the aorta using a temporal active contour model with regularisation scheduling. Proceedings of SPIE - The International Society for Optical Engineering, 3034, 323-332.
[43] Ip, H. H. S., & Tang, H. Y. (1996). Parallel evidence combination on a SB-tree architecture. In V. L. Narasimhan, & L. C. Jain (Eds.), ANZIIS 96 - 1996 AUSTRALIAN NEW ZEALAND CONFERENCE ON INTELLIGENT INFORMATION SYSTEMS, PROCEEDINGS (pp. 31-34). ADELAIDE, AUSTRALIA: IEEE.
[44] Ip H and Tang H, "A SB-Tree Parallel Computation of Evidence Combination Using the Dempster's Rule", Proceedings of EXPERSYS'96, pp. 317-322, 21-22 October 1996, Paris-Marne La Vallee, France.
[45] Tang H, et al, “A Lexical Semantics Driven Algorithm Based on Collocation Dictionary”, Chinese Journal of Advanced Software Research, Vol.2, No.3, pp. 287-296 (overseas edition), 1995.
[46] Tang H, et al, “The Lexical Semantics Driven Algorithm Based on Collocation Dictionary”, Journal of Software, Vol.6. Supplement, 78-85, 1995.
[47] Tang H, et al,  “A Rule System in Machine Translation”, Advances and Applications on Computational Linguistics, Tsinghua University Press, pp. 308-314, 1995.
[48] Tang H, et al, “Chinese Full-text Analysis Based on a Semantic Network Computing Algorithm”, Proceedings of Natural Language Processing Pacific Rim Symposium'95, Seoul, pp. 193-198, 1995.
[49] Cheng X, Tang H, et al, “A Hierarchical Intelligent Rule Base System”, Proceedings of Natural Language Processing Pacific Rim Symposium'95, Seoul, pp. 377-382, 1995.
[50] Tang H, et al, “Object Model in Machine Translation”, Proceedings of the Second Academic Annual Meeting of Youths of Liaoning Province, Dalian, pp. 543-545, 1995.
[51] Tang H, et al, “An Intermediary-Language Based Bi-directional Chinese-English Machine Translation System”, The First Chinese-Korea Joint Symposium on Machine Translation, Yanzi, pp. 1-8, August 1994.
[52] Tang H, et al, “A Lexical Semantic Driven Approach for Natural Language Processing”, Advances on the Research of Machine Translation, Electronics Industry Publishing House, pp. 1-15, 1994.
[53] Tang H, et al, “Knowledge Representation of Chinese and its Language Engineering Method”, Proceedings of National 863 Basic Study for Intelligent Computer, Beijing, pp. 6-8, May 1994.
[54] Tang H, et al,  “Object-Oriented Design of Data Structure”, the 3rd National Conference on Data Structure and its Organization , Xiamen , March 1994.
[55] Tang H, et al, “A Lexical Semantic Based Algorithm in Language Processing”, Proceedings of 1994 International Conference on Computer Processing Oriental Languages, Taejon, Korea, pp. 333-338, 1994.
[56] Tang H, et al, “Chinese Sentence Pattern”, Journal of Chinese Information Processing, Vol.7, No.1, pp. 1-6, 1993.
[57] Tang H, et al, “The Problems of Segmentation and Ambiguous Structure in Chinese Information Processing”, Proceedings of the 3rd Academic Annual Conference of Chinese Information Technique Committee of Computer Society, pp. 90-95, 1993.
[58] Tang H, et al, “The Formal Representation of Chinese Dictionary Information”, Computer Processing of Asian Languages, Tata McGraw-Hill Publishing Company Limited , New Delhi, India, pp. 192-198, 1992.
[59] Tang H, et al,  “The Method of Lexical Semantics-Driven", Intelligent Systems for Processing Oriental Languages, Tampa, Florida, USA, pp. 144-149, 1992.
[60] Tang H, et al,, “The Semantic Network Representation Method in Chinese Parser”, Journal of Chinese Information Processing, Vol.6, No.4, pp. 1-10, 1992.

Teaching

COM2028 Introduction to AI

COMM031 Collective Intelligence

Departmental Duties

Director of Postgraduate Studies

Research Projects

1. Morphometric Herbarium Image Data Analysis (MORPHIDAS)

         (http://www.computing.surrey.ac.uk/morphidas/)

    The work, collaborating with Royal Botanic Gardens, Kew, is funded by a 3-year grant, kindly awarded by the Leverhulme Trust.

       2. Diabetic Retinopathy Filtering of Normal Images (DAPHNE)

           This project is in collaboration with Moorfields Eye Hospital, funded by EPSRC (Engineering and Physical Sciences Research Council). EPSRC Project Code:  EP/H500189/1

       3. Surgical Skill Assessment Through Instrument Motion Analysis (SENTIMENT)

           This work is in collaboration with Moorfields Eye Hospital, funded by EPSRC (Engineering and Physical Sciences Research Council). 

       4. Investigation of stochastic variations in growth rate as the mechanism of drug tolerance in Mycobacterium  Tuberculosis.

           This is a collaborative 3 year project working with Microbial Science Department. More details will follow. 

           This work is funded by  BBSRC (Biotechnology and Biological Sciences Research Council).