Dr Xianfang Sun

2025

• Akhtar, N. et al., 2025. A three-level benchmark dataset for spatial and temporal forensic analysis of videos. Machine Vision and Applications 36 (4) 86. (10.1007/s00138-025-01704-w)
• Alwadee, E. J. et al. 2025. LATUP-Net: A lightweight 3D attention U-Net with parallel convolutions for brain tumor segmentation. Computers in Biology and Medicine 184 109353. (10.1016/j.compbiomed.2024.109353)
• Zhao, Z. et al. 2025. FruitQuery: A lightweight query-based instance segmentation model for in-field fruit ripeness determination. Smart Agricultural Technology 12 101068. (10.1016/j.atech.2025.101068)

2024

• Alshewaier, H. , Qin, Y. and Sun, X. 2024. (ExMod) model for medical image segmentation using scribble annotations. Presented at: The 5th International Conference on Medical Imaging and Computer-Aided Diagnosis Manchester, UK 19-21 November 2024. Published in: Su, R. and Frangi, A. F. eds. Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis. Vol. 1372.Lecture Notes in Electrical Engineering Singapore: Springer. , pp.133-143. (10.1007/978-981-96-3863-5_13)
• Alwadee, E. et al. 2024. Assessing and enhancing the robustness of brain tumor segmentation using a probabilistic deep learning architecture. Presented at: 2024 ISMRM & ISMRT Annual Meeting & Exhibition Singapore 4-9 May 2024. Proceedings 2024 ISMRM & ISMRT Annual Meeting & Exhibition. Vol. 4526. International Society for Magnetic Resonance in Medicine. , pp.1-6.
• Duman, A. et al. 2024. Generalizability of deep learning models on brain tumour segmentation. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.3-5. (10.18573/conf1.b)
• Zhang, X. et al. 2024. Surface acoustic wave‐enhanced multi‐view acoustofluidic rotation cytometry (MARC) for pre‐cytopathological screening. Advanced Science 11 (39) 2403574. (10.1002/advs.202403574)
• Zhao, Z. et al. 2024. Lightweight and efficient attention-based CNN models for In-field strawberry instance segmentation. Presented at: 2024 IEEE 20th International Conference on Automation Science and Engineering Bari, Italy 28 August - 1 September 2024. 2024 IEEE 20th International Conference on Automation Science and Engineering. IEEE. , pp.3294-3299. (10.1109/CASE59546.2024.10711802)

2023

• Duman, A. et al. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15 (23) 5620. (10.3390/cancers15235620)
• Hu, F. et al. 2023. Task-driven data fusion for additive manufacturing: framework, approaches, and case studies. Journal of Industrial Information Integration 34 100484. (10.1016/j.jii.2023.100484)
• Lin, M. et al., 2023. Graph autoencoder with preserving node attribute similarity. Entropy 25 (4) 567. (10.3390/e25040567)
• Wang, H. et al. 2023. Modelling hybrid acoustofluidic devices for enhancing nano- and micro-particle manipulation in microfluidics. Applied Acoustics 205 109258. (10.1016/j.apacoust.2023.109258)
• Zhang, F. et al., 2023. CBA-GAN: Cartoonization style transformation based on the convolutional attention module. Computers and Electrical Engineering 106 108575. (10.1016/j.compeleceng.2022.108575)
• Zhu, X. et al., 2023. Deep deformable artistic font style transfer. Electronics 12 (7) 1561. (10.3390/electronics12071561)

2022

• Nieva De La Hidalga, A. et al. 2022. Cross-validation of a semantic segmentation net-work for natural history collection specimens. Machine Vision and Applications 33 39. (10.1007/s00138-022-01276-z)
• Yan, Y. et al., 2022. Fine-grained attention and feature-sharing generative adversarial networks for single image super-resolution. IEEE Transactions on Multimedia 24 , pp.1473-1487. (10.1109/TMM.2021.3065731)

2021

• Al-qazzaz, S. et al. 2021. Image classification-based brain tumour tissue segmentation. Multimedia Tools and Applications 80 , pp.993-1008. (10.1007/s11042-020-09661-4)
• Fan, L. , Sun, X. and Rosin, P. L. 2021. Attention-modulated triplet network for face sketch recognition. IEEE Access 9 , pp.12914 - 12921. (10.1109/ACCESS.2021.3049639)
• Hu, F. et al. 2021. Deep fusion for energy consumption prediction in additive manufacturing. Presented at: 54th CIRP Conference on Manufacturing Systems (CMS 2021) Virtual 22-24 September 2021. 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0. Vol. 104.Procedia CIRP Elsevier. , pp.1878-1883. (10.1016/j.procir.2021.11.317)
• Ji, Z. et al., 2021. Normal manipulation for bas-relief modeling. Graphical Models 114 101099. (10.1016/j.gmod.2021.101099)
• Wu, F. et al. 2021. An enhanced tilted-angle acoustofluidic chip for cancer cell manipulation. IEEE Electron Device Letters 42 (4), pp.577-580. (10.1109/LED.2021.3062292)
• Zhang, B. et al., 2021. Research on performance evaluation and optimization theory for thermal microscope imaging systems. Applied Sciences 11 (13) 5897. (10.3390/app11135897)

2020

• Cai, W. et al., 2020. Panoptic segmentation-based attention for image captioning. Applied Sciences 10 (1) 391. (10.3390/app10010391)
• Chen, C. et al. 2020. Automobile maintenance modelling using gcForest. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Virtual 20-24 August 2020. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE. , pp.600-605. (10.1109/CASE48305.2020.9216745)
• Chen, C. et al. 2020. Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics 44 101054. (10.1016/j.aei.2020.101054)
• Hu, F. et al. 2020. Feature-level data fusion for energy consumption analytics in additive manufacturing. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) Virtual 20-24 August 2020. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE. , pp.612-617. (10.1109/CASE48305.2020.9216947)
• Nieva de la Hidalga, A. et al. 2020. Designing an herbarium digitisation workflow with built-in image quality management. Biodiversity Data Journal 8 e47051. (10.3897/BDJ.8.e47051)
• Zhang, B. et al., 2020. Adaptive position calibration technique for an optical micro-scanning thermal microscope imaging system. Infrared Physics and Technology 105 103186. (10.1016/j.infrared.2020.103186)

2019

• Alqazzaz, S. et al., 2019. Automated brain tumor segmentation on multi-modal MR image using SegNet. Computational Visual Media 5 (2), pp.209-219. (10.1007/s41095-019-0139-y)
• Asghar, K. et al., 2019. Edge-texture feature based image forgery detection with cross dataset evaluation. Machine Vision and Applications 30 (7-8), pp.1243-1262. (10.1007/s00138-019-01048-2)
• Chen, C. et al. 2019. Automobile maintenance prediction using deep learning with GIS data. Procedia CIRP 81 , pp.-. (10.1016/j.procir.2019.03.077)
• Liu, C. et al., 2019. Multi-scale residual hierarchical dense networks for single image super-resolution. IEEE Access 7 , pp.60572 -60583. (10.1109/ACCESS.2019.2915943)
• Liu, J. et al. 2019. Image-driven unsupervised 3D model co-segmentation. Visual Computer 35 (6-8), pp.909-920. (10.1007/s00371-019-01679-6)
• Nieva De La Hidalga, A. et al. 2019. Use of semantic segmentation for increasing the throughput of digitisation workflows for natural history collections. Presented at: Biodiversity_Next 2019 Leiden, The Netherlands 21-25 October 2019. Biodiversity Information Science and Standards. Vol. 3.Vol. e37161. Pensoft(10.3897/biss.3.37161)
• Wang, H. et al., 2019. Deformable non-local network for video super-resolution. IEEE Access 7 , pp.177734-177744. http://dx.doi.org/10.1109/ACCESS.2019.2958030. (10.1109/ACCESS.2019.2958030)

2018

• Chen, C. et al. 2018. Reliability analysis using deep learning. Presented at: ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Quebec City, Canada 26-29 August 2018. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Volume 1B: 38th Computers and Information in Engineering Conference Quebec City, Quebec, Canada, August 26–29, 2018. ASME. , pp.V01BT02A040. (10.1115/DETC2018-86172)
• Luo, J. et al., 2018. Piecewise linear regression-based single image super-resolution via Hadamard transform. Information Sciences 462 , pp.315-330. (10.1016/j.ins.2018.06.030)
• Pickup, D. et al., 2018. An evaluation of canonical forms for non-rigid 3D shape retrieval. Graphical Models 97 , pp.17-29. (10.1016/j.gmod.2018.02.002)
• Pickup, D. et al., 2018. An evaluation of canonical forms for non-rigid 3D shape retrieval. Graphical Models 97 , pp.17-29. (10.1016/j.gmod.2018.02.002)

2017

• Abdulmunem, A. , Lai, Y. and Sun, X. 2017. 3D GLOH features for human action recognition. Presented at: International Conference on Pattern Recognition Cancun, Mexico 4-8 December 2016. 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, New Jersey: IEEE. , pp.805-810. (10.1109/ICPR.2016.7899734)
• Khayeat, A. , Rosin, P. L. and Sun, X. 2017. Copy-move forgery detection using the segment gradient orientation histogram. Presented at: Scandinavian Conference on Image Analysis Tromsø, Norway 12-14,June 2017. Published in: Sharma, P. and Bianchi, F. M. eds. SCIA 2017: Image Analysis. Vol. 1.Lecture Notes in Computer Science Vol. 10269. Cham: Springer. , pp.209-220. (10.1007/978-3-319-59126-1_18)
• Tan, X. et al., 2017. Cybernetic basis and system practice of remote sensing and spatial information science. Presented at: ISPRS Geospatial Week 2017 Wuhan, China 18–22 September 2017. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. 42., pp.143-148. (10.5194/isprs-archives-XLII-2-W7-143-2017)

2016

• Abdulmunem, A. , Lai, Y. and Sun, X. 2016. Saliency guided local and global descriptors for effective action recognition. Computational Visual Media 2 (1), pp.97-106. (10.1007/s41095-016-0033-9)
• Elmasri, K. et al. 2016. Automatic detection and quantification of abdominal aortic calcification in dual energy X-ray absorptiometry. Procedia Computer Science 96 , pp.1011-1021. (10.1016/j.procs.2016.08.116)
• Khayeat, A. , Sun, X. and Rosin, P. L. 2016. Improved DSIFT descriptor based copy-rotate-move forgery detection. Presented at: PSIVT 2015: 7th Pacific Rim Symposium on Image and Video Technology Auckland, New Zealand 25-27November 2015. Image and Video Technology. Vol. 9431.Lecture Notes in Computer Science Vol. 9431. Springer. , pp.642-655. (10.1007/978-3-319-29451-3_51)
• Pickup, D. et al. 2016. Shape retrieval of non-rigid 3D human models. International Journal of Computer Vision 120 (2), pp.169-193. (10.1007/s11263-016-0903-8)
• Pickup, D. et al. 2016. Skeleton-based canonical forms for non-rigid 3D shape retrieval. Computational Visual Media 2 (3), pp.231-243. (10.1007/s41095-016-0045-5)
• Pratikakis, I. et al., 2016. SHREC'16 track: partial shape queries for 3D object retrieval. Presented at: Eurographics Workshop on 3D Object Retrieval Lisbon, Portugal 8 May 2016.
• Tralic, D. et al., 2016. Combining cellular automata and local binary patterns for copy-move forgery detection. Multimedia Tools and Applications 75 (24), pp.16881-16903. (10.1007/s11042-015-2961-2)
• Wu, J. et al. 2016. Improving shape from shading with interactive Tabu search. Journal of Computer Science and Technology 31 (3), pp.488-500. (10.1007/s11390-016-1639-1)

2015

• Lian, Z. et al., 2015. SHREC'15 Track: Non-rigid 3D shape retrieval. Presented at: 8th Eurographics Workshop on 3D Object Retrieval Zurich, Switzerland 2-3 May 2015. , pp.257-266. (10.2312/3dor.20151064)
• Pickup, D. et al. 2015. Euclidean-distance-based canonical forms for non-rigid 3D shape retrieval. Pattern Recognition 48 (8), pp.2500-2512. (10.1016/j.patcog.2015.02.021)
• Pickup, D. et al. 2015. SHREC'15 Track: Canonical forms for non-rigid 3D shape retrieval. Presented at: 8th Eurographics Workshop on 3D Object Retrieval Zurich, Switzerland 2-3 May 2015. Eurographics Workshop on 3D Object Retrieval. , pp.316-327. (10.2312/3dor.20151063)

2014

• Dijana, T. et al., 2014. Detection of duplicated image regions using cellular automata. 2014 International Conference on Systems, Signals and Image Processing (IWSSIP) , pp.167-170.
• Ji, Z. , Ma, W. and Sun, X. 2014. Bas-relief modeling from normal images with intuitive styles. IEEE Transactions on Visualization and Computer Graphics 20 (5), pp.675-685. (10.1109/TVCG.2013.267)
• Ji, Z. et al., 2014. Real-time bas-relief generation from depth-and-normal maps on GPU. Computer Graphics Forum 33 (5), pp.75-83. (10.1111/cgf.12433)
• Pickup, D. et al. 2014. SHREC'14 Track: Shape retrieval of non-rigid 3D human models. Presented at: Eurographics Workshop on 3D Object Retrieval Strasbourg, France 6 April 2014. , pp.101-110.
• Rosin, P. L. and Sun, X. 2014. Edge detection using cellular automata. In: Rosin, P. L. , Adamatzky, A. and Sun, X. eds. Cellular Automata in Image Processing and Geometry. Emergence, Complexity and Computation Vol. 10.Springer. , pp.85-103. (10.1007/978-3-319-06431-4_5)
• Tralic, D. et al., 2014. Copy-move forgery detection using cellular automata. In: Rosin, P. , Adamatzky, A. and Sun, X. eds. Cellular Automata in Image Processing and Geometry. Vol. 10, Emergence, Complexity and Computation Springer. , pp.105-125. (10.1007/978-3-319-06431-4_6)
• Wu, J. et al. 2014. Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs. Graphical Models 76 (4), pp.202-213. (10.1016/j.gmod.2014.02.002)

2013

• Chai, W. , Sun, X. and Qiao, J. 2013. Set membership state estimation with improved zonotopic description of feasible solution set. International Journal of Robust and Nonlinear Control 23 (14), pp.1642-1654. (10.1002/rnc.2842)
• Lian, Z. et al., 2013. CM-BOF: visual similarity-based 3D shape retrieval using clock matching and bag-of-features. Machine Vision and Applications 24 (8), pp.1685-1704. (10.1007/s00138-013-0501-5)
• Tam, G. K. L. et al., 2013. Registration of 3D point clouds and meshes: A survey from rigid to nonrigid. IEEE Transactions on Visualization and Computer Graphics 19 (7), pp.1199-1217. (10.1109/TVCG.2012.310)
• Wu, J. et al. 2013. Making bas-reliefs from photographs of human faces. Computer-Aided Design 45 (3), pp.671-682. (10.1016/j.cad.2012.11.002)

2012

• Lian, Z. et al., 2012. A new convexity measurement for 3D meshes. Presented at: IEEE Conference on Computer Vision and Pattern Recognition Providence, RI 16-21 June 2012. 2012 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE. , pp.119-126. (10.1109/CVPR.2012.6247666)

2011

• Sun, X. , Rosin, P. L. and Martin, R. R. 2011. Fast rule identification and neighborhood selection for cellular automata. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 41 (3), pp.749-760. (10.1109/TSMCB.2010.2091271)

2010

• He, L. and Sun, X. 2010. Recursive triangulation description of the feasible parameter set for bounded-noise models. IET Control Theory and Applications 4 (6), pp.985-992. (10.1049/iet-cta.2009.0040)
• Lian, Z. , Rosin, P. L. and Sun, X. 2010. Rectilinearity of 3D meshes. International Journal of Computer Vision 89 (2-3), pp.130-151. (10.1007/s11263-009-0295-0)
• Stevenson, J. A. , Sun, X. and Mitchell, N. C. 2010. Despeckling SRTM and other topographic data with a denoising algorithm. Geomorphology 114 (3), pp.238-252. (10.1016/j.geomorph.2009.07.006)

2009

• Chai, W. and Sun, X. 2009. Set membership estimation by weighted least squares support vector machines. Electric Machines and Control 13 (3), pp.431-435.
• Godil, A. et al., 2009. SHREC'09 Track: Generic shape retrieval. Presented at: EG 3DOR 2009 : Eurographics 2009 Workshop on 3D Object Retrieval Munich, Germany 29 March 2009. Published in: Pratikakis, I. et al., Proceedings of the Eurographics Workshop on 3D Object Retrieval, Munich, Germany, 29 March 2009. Aire-la-Ville, Switzerland: Eurographics Association. , pp.61-68.
• He, L. and Sun, X. 2009. Set-membership identification of T-S fuzzy models using support vector regression. Presented at: 2009 9th International Conference on Electronic Measurement and Instruments Beijing, China 16-19 August 2009. 9th International Conference on Electronic Measurement & Instruments, 2009, Beijing, China, 16-19 Aug. 2009. Los Alamitos, CA: IEEE. , pp.59-63. (10.1109/ICEMI.2009.5274796)
• Sun, X. et al. 2009. Bas-relief generation using adaptive histogram equalization. IEEE Transactions on Visualization and Computer Graphics 15 (4), pp.642-653. (10.1109/TVCG.2009.21)
• Sun, X. et al. 2009. Noise analysis and synthesis for 3D laser depth scanners. Graphical Models 71 (2), pp.34-48. (10.1016/j.gmod.2008.12.002)
• Sun, X. et al. 2009. Random walks for feature-preserving mesh denoising. Computer Aided Geometric Design 25 (7), pp.437-456. (10.1016/j.cagd.2007.12.008)
• Tian, L. , Li, D. and Sun, X. 2009. Synchronization of N different hyperchaotic systems. Presented at: Control and Decision Conference 2009 Guilin, China, 17-19 June 2009. Proceedings of the 21st Annual International Conference on Chinese Control and Decision Conference (CCDC '09), Guilin, China, 17-19 June 2009. Piscataway, USA: Institute of Electrical and Electronics Engineers. , pp.2207-2212. (10.1109/CCDC.2009.5191604)
• Tian, L. , Li, D. and Sun, X. 2009. Adaptive synchronization of the modified Chua's circuit systems. Presented at: CSIE 2009 : Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering Los Angeles, CA, USA 31 March -2 April 2009. Proceedings of the 2009 WRI World Congress on Computer Science and Information Engineering, 31 March - 2 April 2009 / Los Angeles, California USA. Vol. 2.Los Alamitos, CA: IEEE. , pp.254-258. (10.1109/CSIE.2009.258)

2008

• Chai, W. and Sun, X. 2008. Square-root ellipsoidal state bounding and its parallel computation. Systems Engineering and Electronics 30 (7), pp.1339-1342.
• Lian, Z. , Rosin, P. L. and Sun, X. 2008. A rectilinearity measurement for 3d meshes. Presented at: 1st ACM International Workshop on Multimedia Information Retrieval ; 16th ACM International Conference on Multimedia Vancouver, Canada 30-31 October 2008. Published in: Lew, M. S. ed. MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval. ACM conference proceedings series; ; 476. Vol. 476. New York, NY: ACM. , pp.395-402. (10.1145/1460096.1460161)
• Sun, X. and Hancock, E. R. 2008. Quasi-isometric parameterization for texture mapping. Pattern Recognition 41 (5), pp.1732-1743. (10.1016/j.patcog.2007.10.027)
• Sun, X. et al. 2008. Noise in 3D laser range scanner data. Presented at: 10th International Conference on Shape Modeling and Applications Stony Brook, NY, USA 4-6 June 2008. Published in: Michela Spagnuolo, M. , Cohen-Or;, D. and Gu, X. D. G. eds. Shape Modeling and Applications, 2008. SMI 2008. IEEE International Conference. Los Alamitos, CA: IEEE Computer Society. , pp.37-45. (10.1109/SMI.2008.4547945)
• Sun, X. , Wang, S. J. and Hai, Z. 2008. Application of extended set-membership filter in SINS initial alignment of large azimuth misalignment. Journal of Chinese Inertial Technology 16 (5), pp.505-508.
• Tian, L. , Li, D. and Sun, X. 2008. Nonlinear-estimator-based robust synchronization of Hodgkin-Huxley neurons. Neurocomputing 72 (1-3), pp.186-196. (10.1016/j.neucom.2008.04.051)
• Tian, L. , Li, D. and Sun, X. 2008. Controlling chaos based on an adaptive nonlinear compensator mechanism. Chinese Physics B 17 (2), pp.507-519. (10.1088/1674-1056/17/2/028)

2007

• Chai, W. and Sun, X. 2007. Nonlinear set membership filtering using ellipsoids and its application in fault diagnosis. Acta Aeronautica et Astronautica Sinica 28 (4), pp.948-952.
• Chai, W. and Sun, X. 2007. Numerically stable ellipsoidal state bounding algorithm. Journal of Xi'an Jiaotong University 41 (4)
• Sun, X. et al. 2007. Fast and Effective Feature-Preserving Mesh Denoising. IEEE Transactions on Visualization and Computer Graphics 13 (5), pp.925-938. (10.1109/TVCG.2007.1065)
• Sun, X. et al. 2007. Random walks for mesh denoising. Presented at: SPM 2007: ACM Symposium on Solid and Physical Modeling Beijing, China 4-6 June 2007. Proceedings, SPM 2007 : ACM Symposium on Solid and Physical Modeling : Beijing, China, June 04-06, 2007. New York, USA: Association for Computing Machinery. , pp.11-22. (10.1145/1236246.1236252)

2006

• Chai, W. and Sun, X. 2006. Improvement on set membership identification by zonotopes. Presented at: 6th International Symposium on Instrumentation and Control Technology Beijing, China 13-15 October 2006. Published in: Fang, J. and Wang, Z. eds. Proceedings of the 6th International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation. Proceedings of the SPIE Vol. 6358. International Society for Optical Engineering. , pp.635830. (10.1117/12.718049)