Professor H Lilian Tang

Professor in Artificial Intelligence
BEng, MEng, PhD (Cantab)
+44 (0)1483 686054
10 BB 02



Research interests




About 100 refereed papers were published. Highlights below include those from recent years:


  1. Q Huang, Y Zhang, T Ko, X Liu, B Wu, W Wang, H Tang, Personalized dialogue generation with persona-adaptive attention, - Proceedings of the AAAI Conference on Artificial Intelligence, 2023
  2. Chloe Hinchcliffe, Mahinda Yogarajah, Samia Elkommos, Hongying Tang, Daniel Abasolo, Entropy measures of electroencephalograms towards the diagnosis of psychogenic non-epileptic seizures, Entropy 2022, 24(10), 1348;
  3. Al Turk L; Georgieva D; Al S H; Wang S; Krause P; Al H; Al S A;  Saleh G M; Tang H L, Learning to Discover Explainable Clinical Features With Minimum Supervision, Translational Vision Science & Technology January 2022, Vol.11, 11. 
  4. Mei X, Huang Q, Liu Q, Chen G, Wu J, Wu Y, Zhao J, Li S, Ko T, Tang H L, Shao X, Plumbley M D, Wang W, An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning, DCASE-21.
  5. Liu X, Huang Q, Mei X, Ko T, Tang H L, Plumbley M D, Wang W, A Contrastive Loss for Audio Captioning, DCASE-21
  6. Quinn N, Brazionis L, Zhu B, Ryan C, Tang* H L, Peto T, A Jenkins, Facilitating diabetic retinopathy screening using automated retinal image analysis in less-advantaged communities or under-resourced settings, Diabetic Medicine 
  7. Huang, Q., Ko, T., Tang, H.L., Liu, X., Wu, B. (2021) Token-Level Supervised Contrastive Learning for Punctuation Restoration. Proc. Interspeech 2021, 2012-2016, doi: 10.21437/Interspeech.2021-661
  8. Al Turk L, Wawrzynski J, Wang S , Krause P, Saleh G M, Alsawadi H, Alshamrani A Z, Peto T, Bastawrous A, Li J, and Tang H L, Automated Feature-Based Grading and Progression Analysis of Diabetic Retinopathy (Running title: Feature based detection of diabetic retinopathy), Eye, Nature Journal.
  9. Al Turk L; Wang S; Krause P; Wawrzynski J; Saleh G M.; Alsawadi H; Alshamrani A Z; Peto T; Bastawrous A; J Li; Tang H L, Evidence Based Prediction and Progression Monitoring on Retinal Images from Three Nations, Translational Vision Science & Technology August 2020, Vol.9, 44. doi:
  10. Hingley-Wilson S M., Ma N, Hu Y, Casey R, Bramming A,  Curry R J., Tang H L, Wu H, Butler R E.,  Jacobs Jr W R.,  Rocco A, and McFadden J, Loss of phenotypic inheritance associated with ydcI mutation leads to increased frequency of small, slow persisters in Escherichia coli, PNAS, first published February 6, 2020
  11. Almani N and Tang L, Deep Attention-Based Review Level Sentiment Analysis for Arabic Reviews, 6TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND MACHINE LEARNING APPLICATIONS, 4-5 March, Prince Sultan University, Riyadh, KSA
  12. Almisbahi H. O., Faux D. A., Tang L. H., Abulkhair M. F., Visualizing molecular phonons using eigenvectors with smallest eigenvalues of the atomic trajectories", Computational Materials Science, 2019,
  13. Hamill, B; Tang, HL; Sivaraman, N; Peto, T, The Comparison Between An Automated Reading and Human Grading of Images From a Handheld Wide Field Imaging Device, European Journal of Ophthalmology, Volume: 29 Issue: 3, MAY 2019.
  14. Al Turk L., Wang S, Krause P, Alsawadi H, Alshamrani A. Z. Peto T, Bastawrous A., Huang W., and Tang H. L, Automated Retinal Image Reading and Progression Analysis, European Journal of Ophthalmology, 2018.
  15. Balal S, Smith P, Bader T, Tang H, Sullivan P, Thomsen A. S, Carlson T, Saleh G, Computer analysis of individual cataract surgery segments in the operating room, Eye, Nature, volume 33, pages 313–319 (2019).
  16. Balntas V, Tang L, Mikolajczyk K, 2018, Binary Online Learned Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence.
  17. Day A., Smith P, Tang H. L., Aiello F, Hussain B, Maurino V, Marshall J, Saleh G. S., Surgical efficiency in femtosecond laser cataract surgery compared to phacoemulsification cataract surgery: a case control study, BMJ Open.
  18. Hu Y, Wang S, Ma N, Hingley-Wilson S, Rocco, A, McFadden J, H. L. Tang, "Trajectory Energy Minimisation for Cell Growth Tracking and Genealogy Analysis", Royal Society Open Science.
  19. Thomsen A S, Smith P, Morten la Cour Y S,, Tang L, Saleh G M., Konge L, High correlation between performance on a virtual-reality simulator and real-life cataract surgery, Acta Ophthalmologica. 2016 Sep 29. doi: 10.1111/aos.13275.
  20. Hansen M B., Tang HL, Wang S, Al Turk L, Piermarocchi R, Speckauskas M, Hense H-W, Leung I and Peto T, Automated detection of Diabetic Retinopathy in Three European Populations, Journal of Clinical & Experimental Ophthalmology, cited as: Hansen et al., J Clin Exp Ophthalmol 2016, 7:4, DOI: 10.4172/2155-9570.1000582.
  21. Din N, Smith P, Emeriewen K, Sharma A, Jones S, Tang H, Sullivan P, Caputo S and Saleh G M., Man vs Machine: Software training for surgeons -an objective evaluation of human and computer-based training tools for cataract surgical performance.", Journal of Ophthalmology, vol. 2016, Article ID 3548039, 7 pages, 2016. doi:10.1155/2016/3548039.
  22. Saleh G M., Wawrzynski J, Caputo S, Peto T, Al turk L, Wang S, Hu Y, Cruz L. D, Smith P and Tang H, An automated detection system for microaneurysms that is effective across different racial groups, Journal of Ophthalmology.
  23. Wang S; Tang, H L; Al turk, L; Hu, Y; Sanei, S; Saleh, G; Peto, T, Localising Microaneurysms in Fundus Images Through Singular Spectrum Analysis, IEEE Transactions on Biomedical Engineering, Print ISSN: 0018-9294, Online ISSN: 1558-2531, Digital Object Identifier: 10.1109/TBME.2016.2585344, 2016 Jun 27.
  24. Safaei A, Tang HL, Sanei S (2016), Real Time Search Free Multiple License Plate Recognition via Likelihood Estimation of Saliency, Computers and Electrical Engineering.
  25.  Safaei A, Tang HL, Sanei S, Incorporating Negentropy in Saliency-based Search Free Car Number Plate Localization, 2016 International Conference on Digital Signal Processing (DSP) 
  26. Safaei A, Tang HL, Sanei S (2016) Robust Search-Free Car Number Plate Localization Incorporating Hierarchical Saliency. Journal of Computer Science & Systems Biology, 9:093-103. doi:10.4172/jcsb.1000225
  27. Wawrzynski J R, Smith P, Tang L, Hoare T, Caputo S, Marshall J, Tsatsos M, Saleh G M, Tracking camera control in endoscopic dacryocystorhinostomy surgery., Clinical Otolaryngology, 2015 Apr 8. PMID: 25858299.
  28. Balntas V, Johns E, Tang L, Mikolajczyk K, PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors, arXiv:1601.05030 [cs.CV].
  29. Peto T, Saleh G M, Caputo S, Al turk L I, Wang S, Hu Y, Tang H L, The Application of Machine Learning to the Automated Detection of Microaneurysms in Different Ethnic Group with Diabetic Retinopathy, European Journal of Ophthalmology. 
  30. Balntas V, Tang L, Mikolajczyk K, “BOLD - Binary Online Learnt Descriptor for efficient image matching”, CVPR2015, June 7-12 2015, Boston, Massachusetts.
  31. Balntas V, Tang L, Mikolajczyk K, Improving object tracking with voting from false positive detections, 22nd International Conference on Pattern Recognition (ICPR), 24-28 August 2014 Stockholm, Sweden. 
  32. Safaei A, Tang HL. and Sanei S, Search-free license plate localisation based on Saliency and local variance estimation. The 7th International Conference on Machine Vision (ICMV 2014).
  33. Tang HL, Goh J, Peto T, Ling BW-K, Al turk L, et al. (2013) The Reading of Components of Diabetic Retinopathy: An Evolutionary Approach for Filtering Normal Digital Fundus Imaging in Screening and Population Based Studies. PLoS ONE 8(7): e66730. doi:10.1371/journal.pone.0066730.
  34. Smith P, Tang L, Balntas V, Young K, Athanasiadis Y, Sullivan P, Hussain B and Saleh GM, “PhacoTracking” An Evolving Paradigm in Ophthalmic Surgical Training, JAMA Ophthalmol. 2013;131(5):659-661. doi:10.1001/jamaophthalmol.2013.28. 
  35. Corney DPA, Tang HL, Clark JY, Hu Y, Jin J (2012) Automating Digital Leaf Measurement: The Tooth, the Whole Tooth, and Nothing but the Tooth. PloS ONE 7(8): e42112. doi:10.1371/journal.pone.0042112.
  36. Clark J, Corney D and Tang L (2012), Automated Plant Identification using Artificial Neural Networks, the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, May 9-12, 2012 San Diego, California.
  37. Subramaniam S. R, Georgakis A, Ling B.W.K, Goh J, Tang H.L., Peto T. and Saleh G., Optimal and Simultaneous Designs of Hermitian Transforms and Masks for Reducing Intraclass Separations of Feature Vectors for Anomaly Detection of Diabetic Retinopathy Images, IEEE, IET 8th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP 2012), 18-20 July 2012, Poznan, Poland.
  38. Goh J, Tang L, Peto T and Saleh G, An Evolutionary Approach for Determining Hidden Markov Model for Medical Image Analysis, the 2012 IEEE Congress on Evolutionary Computation, 11-15 June 2012, Brisbane, Australia. 
  39. Corney DPA, Clark JY, Tang HL, Wilkin P, Automatic Extraction of Leaf Characters from Herbarium Specimens, TAXON 61 (1), February 2012: 231–244. 
  40. Tang H. L., Peto T., Goh J., Jin Y., Chuluunkhuu C., Filtering Normal Diabetic Retinopathy Images through Evolutionary Computation, European Journal of Ophthalmology, Vol.21, No.3, May-June 2011.
  41. 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. 
  42. Goh, J., Tang, 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. 
  43. 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.
  44. Tang, H. L., Hanka, R., & Ip, H. (2003). Histological image retrieval based on semantic content analysis. IEEE Transactions On Information Technology In Biomedicine, 7(1), 26-36. doi:10.1109/TITB.2003.808500, MARCH 2003.
  45. Tang, L. H. Y., Hanka, R., Ip, H., Cheung, K., & 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).


There are further 57 refereed papers published, including 17 publications on early work in natural language processing and machine translation.