TatTvamAsi

Professor H Lilian Tang

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

Academic and research departments

Computer Science Research Centre, School of Computer Science and Electronic Engineering.

About

Research

Research interests

Teaching

Publications

Highlights

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

 

  1. R Banks, V Thengane; M Eugenia Guerrero; N M García-Madueño; Y Li; H Tang; A Chaurasia, Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing, Computers in Biology and Medicine, 2026
  2. X Kang, M Rana, L Tang, J Kittler, Z Feng, Short-term 3D Human Mesh Recovery with Virtual Markers Disentanglement, CVPR’25.
  3. Q Huang, T Ko, Z Zhuang, L Tang, Y Zhang, Hira: Parameter-efficient hadamard high-rank adaptation for large language models, - The Thirteenth International Conference on Learning Representations (ICLR 2025), 2025;
  4. Q Huang, T Ko, L Tang, Y Zhang, ComLoRA: A Competitive Learning Approach for Enhancing LoRA, The Thirteenth International Conference on Learning Representations (ICLR 2025), 2025
  5. Chloe H. L. Hinchliffe, Mahinda Yogarajah, Samia Elkommos, Hongying Tang and Daniel Abasolo, Non-ictal Electroencephalogram Measures towards the Diagnosis of Functional Seizures, Epilepsia, https://doi.org/10.1111/epi.18110, 10 September 2024.
  6. Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, H Tang, Selective Prompting Tuning for Personalized Conversations with LLMs, ACL 2024
  7. Qiushi Huang, Shuai Fu, Xubo Liu, Wenwu Wang, Tom Ko, Yu Zhang, H Tang, Learning Retrieval Augmentation for Personalized Dialogue Generation, EMNLP 2023
  8. 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
  9. Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H Tang, Mark D Plumbley, Volkan Kılıç, Wenwu Wang,, Visually-aware audio captioning with adaptive audio-visual attention, 2022/10/28, arXiv preprint arXiv:2210.16428
  10. Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H Tang, Mark D Plumbley, Volkan Kılıç, Wenwu Wang,, Visually-aware audio captioning with adaptive audio-visual attention, Interspeech 2023;
  11. Xubo Liu, Qiushi Huang, Xinhao Mei, Tom Ko, H Tang, Mark D Plumbley, Wenwu Wang, CL4AC: A contrastive loss for audio captioning, 2021/7/21, arXiv preprint arXiv:2107.09990
  12. Chloe Hinchcliffe, Mahinda Yogarajah, Samia Elkommos, Hongying Tang, Daniel Abasolo, Entropy measures of electroencephalograms towards the diagnosis of psychogenic non-epileptic seizures, MDPI Entropy.
  13. L Al Turk; D Georgieva; H Alsawadi; S Wang; P Krause; H Alsawadi; A Alshamrani; G M Saleh; Hongying Tang, Learning to Discover Explainable Clinical Features With Minimum Supervision, Translational Vision Science & Technology January 2022, Vol.11, 11.
  14. X Mei, Q Huang, X Liu, G Chen, J Wu, Y Wu3, J Zhao, S Li, T Ko, H Tang, X Shao, M D. Plumbley, W Wang, An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning, DCASE-21.
  15. X Liu, Q Huang, X Mei, T Ko, H Tang, M D. Plumbley, W Wang, A Contrastive Loss for Audio Captioning, DCASE-21.
  16. N Quinn, L Brazionis, B Zhu, C Ryan, Hongying Tang*, T Peto, A Jenkins, Facilitating diabetic retinopathy screening using automated retinal image analysis in less-advantaged communities or under-resourced settings, Diabetic Medicine, 2021.
  17. 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.
  18. L Al Turk, J Wawrzynski, S Wang , P Krause, G M Saleh, H Alsawadi, A Z Alshamrani , T Peto , A Bastawrous , J Li , and H Tang, Automated Feature-Based Grading and Progression Analysis of Diabetic Retinopathy, Eye, Nature, volume 36, pages524–532 (2022).
  19. L Al Turk; S Wang; P Krause; J Wawrzynski; G M. Saleh; H Alsawadi; A Z Alshamrani; T Peto; A Bastawrous; J Li; H Tang, Evidence Based Prediction and Progression Monitoring on Retinal Images from Three Nations, Translational Vision Science & Technology August 2020, Vol.9, 44.
  20. S M. Hingley-Wilson, N Ma, Y Hu, R Casey, A Bramming, R J. Curry, H Tang, H Wu, R E. Butler,  W R. Jacobs Jr,  A Rocco, and J McFadden, 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, https://doi.org/10.1073/pnas.1914741117.
  21. N Almani and H Tang, 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.
  22. H. O. Almisbahi, D. A. Faux, H. Tang, Maysoon F. Abulkhair, Visualizing molecular phonons using eigenvectors with smallest eigenvalues of the atomic trajectories", Computational Materials Science, 2019.
  23. Hamill, B; Tang, H; 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.
  24. L. Al Turk, S. Wang, P. Krause, H. Alsawadi, A. Alshamrani, T. Peto, A. Bastawrous, W. Huang, and H. Tang, Automated Retinal Image Reading and Progression Analysis, European Journal of Ophthalmology, 2018.
  25. S. Balal, P. Smith, T. Bader, H Tang, P. Sullivan, A. Skou Thomsen, T. Carlson, G. Saleh, Computer analysis of individual cataract surgery segments in the operating room, Eye, Nature, volume 33, pages 313–319 (2019).
  26. Balntas V, Tang L, Mikolajczyk K, Binary Online Learned Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence.
  27. A C Day PhD, P Smith, H L Tang, F Aiello, B Hussain, V Maurino, J Marshall, G M Saleh, Surgical efficiency in femtosecond laser cataract surgery compared to phacoemulsification cataract surgery: a case control study, BMJ Open.
  28. Y Hu, J McFadden, HL Tang, "Trajectory Energy Minimisation for Cell Growth Tracking and Genealogy Analysis", Royal Society Open Science.
  29. A S Skou Thomsen, P Smith, Y S, Morten la Cour, L Tang, G M. Saleh, L Konge, High correlation between performance on a virtual-reality simulator and real-life cataract surgery, Acta Ophthalmologica. 2016 Sep 29. doi: 10.1111/aos.13275.
  30. M B. Hansen, HL Tang, S Wang, L Al Turk, R Piermarocchi, M Speckauskas, H-W Hense, Irene Leung and Tunde Peto, Automated detection of Diabetic Retinopathy in Three European Populations, Journal of Clinical & Experimental Ophthalmology, DOI: 10.4172/2155-9570.1000582.
  31. N Din, P Smith, K Emeriewen, A Sharma, S Jones, H Tang, P Sullivan, S Caputo and G M. Saleh, 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, doi:10.1155/2016/3548039.
  32. G M. Saleh, J Wawrzynski, S Caputo, T Peto, L Al turk, S Wang, Y Hu, L. D Cruz, P Smith and H Tang, An automated detection system for microaneurysms that is effective across different racial groups, Journal of Ophthalmology.
  33. 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.
  34. Safaei A, Tang HL, Sanei S (2016), Real Time Search Free Multiple License Plate Recognition via Likelihood Estimation of Saliency, Computers and Electrical Engineering.
  35. 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)
  36. 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.
  37. J R Wawrzynski, P Smith, L Tang, T Hoare, S Caputo, J Marshall, M Tsatsos, G M Saleh, Tracking camera control in endoscopic dacryocystorhinostomy surgery., Clinical Otolaryngology, 2015 Apr 8.  (IF: 2.627. ISI Journal Citation Reports © Ranking: 2013: 7/44 (Otorhinolaryngology), Online ISSN: 1749-4486), PMID: 25858299.
  38. Balntas V, Johns E, Tang L, Mikolajczyk K, PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors, arXiv:1601.05030 [cs.CV].
  39. T. Peto, G.M. Saleh, S. Caputo, L I Al turk, S Wang, Y Hu, HL Tang, The Application of Machine Learning to the Automated Detection of Microaneurysms in Different Ethnic Group with Diabetic Retinopathy, European Journal of Ophthalmology.
  40. Balntas V, Tang L, Mikolajczyk K, “BOLD - Binary Online Learnt Descriptor for efficient image matching”, CVPR2015, June 7-12 2015, Boston, Massachusetts.
  41. 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.
  42. 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).
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. S. R. Subramaniam, A. Georgakis, B.W.K.Ling, J.Goh, H.L.Tang, T.Peto and G.Saleh, 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.
  48. 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.
  49. Corney DPA, Clark JY, Tang HL, Wilkin P, Automatic Extraction of Leaf Characters from Herbarium Specimens, TAXON 61 (1), February 2012: 231–244.
  50. 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.
  51. 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 4th International Conference on Health Informatics, 235-241.
  52. 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.
  53. 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.
  54. 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. 

  55. Tang, H. L et al (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.

     

I have at least a further 57 refereed papers published including my early work in natural language processing and machine translation.