Dr Xianfang Sun

2025

• Alwadee, E. J., Sun, X., Qin, Y. and Langbein, F. C. 2025. LATUP-Net: A lightweight 3D attention U-Net with parallel convolutions for brain tumor segmentation. Computers in Biology and Medicine 184, article number: 109353. (10.1016/j.compbiomed.2024.109353)

2024

• Zhang, X. et al. 2024. Surface acoustic wave‐enhanced multi‐view acoustofluidic rotation cytometry (MARC) for pre‐cytopathological screening. Advanced Science 11(39), article number: 2403574. (10.1002/advs.202403574)
• Zhao, Z., Hicks, Y., Sun, X., McGuiness, B. and Lim, H. 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 20242024 IEEE 20th International Conference on Automation Science and Engineering. IEEE pp. 3294-3299., (10.1109/CASE59546.2024.10711802)
• Alwadee, E., Sun, X., Qin, Y. and Langbein, F. 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, 04-09 May 2024Proceedings 2024 ISMRM & ISMRT Annual Meeting & Exhibition. Vol. 4526. International Society for Magnetic Resonance in Medicine pp. 1-6.
• Duman, A., Powell, J., Thomas, S., Sun, X. and Spezi, E. 2024. Generalizability of deep learning models on brain tumour segmentation. Presented at: Cardiff University Engineering Research Conference 2023, Cardiff, UK, 12-14 July 2023 Presented at 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)
• 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.

2023

• Duman, A., Karakuş, O., Sun, X., Thomas, S., Powell, J. and Spezi, E. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15(23), article number: 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, article number: 100484. (10.1016/j.jii.2023.100484)
• Lin, M., Wen, K., Zhu, X., Zhao, H. and Sun, X. 2023. Graph autoencoder with preserving node attribute similarity. Entropy 25(4), article number: 567. (10.3390/e25040567)
• Zhu, X., Lin, M., Wen, K., Zhao, H. and Sun, X. 2023. Deep deformable artistic font style transfer. Electronics 12(7), article number: 1561. (10.3390/electronics12071561)
• Wang, H. et al. 2023. Modelling hybrid acoustofluidic devices for enhancing nano- and micro-particle manipulation in microfluidics. Applied Acoustics 205, article number: 109258. (10.1016/j.apacoust.2023.109258)
• Zhang, F., Zhao, H., Li, Y., Wu, Y. and Sun, X. 2023. CBA-GAN: Cartoonization style transformation based on the convolutional attention module. Computers and Electrical Engineering 106, article number: 108575. (10.1016/j.compeleceng.2022.108575)

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, article number: 39. (10.1007/s00138-022-01276-z)
• Yan, Y., Liu, C., Chen, C., Sun, X., Jin, L., Xinyi, P. and Zhou, X. 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

• Hu, F., Qin, J., Li, Y., Liu, Y. and Sun, X. 2021. Deep fusion for energy consumption prediction in additive manufacturing. Presented at: 54th CIRP Conference on Manufacturing Systems (CMS 2021), Virtual, 22-24 September 202154th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0, Vol. 104. Procedia CIRP Elsevier pp. 1878-1883., (10.1016/j.procir.2021.11.317)
• Zhang, B., Gao, M., Rosin, P. L., Sun, X., Chang, Q., Yan, Q. and Shang, Y. 2021. Research on performance evaluation and optimization theory for thermal microscope imaging systems. Applied Sciences 11(13), article number: 5897. (10.3390/app11135897)
• 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)
• Ji, Z., Sun, X., Zhang, Y., Ma, W. and Wei, M. 2021. Normal manipulation for bas-relief modeling. Graphical Models 114, article number: 101099. (10.1016/j.gmod.2021.101099)
• Al-qazzaz, S., Sun, X., Yang, H., Yang, Y., Xu, R., Nokes, L. and Yang, X. 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)

2020

• Hu, F., Liu, Y., Qin, J., Sun, X. and Witherell, P. 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 20202020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE pp. 612-617., (10.1109/CASE48305.2020.9216947)
• Chen, C., Liu, Y., Sun, X., Di Cairano-Gilfedder, C. and Titmus, S. 2020. Automobile maintenance modelling using gcForest. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 20202020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE pp. 600-605., (10.1109/CASE48305.2020.9216745)
• Chen, C., Liu, Y., Wang, S., Di Cairano-Gilfedder, C., Sun, X., Titmus, S. and Syntetos, A. A. 2020. Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics 44, article number: 101054. (10.1016/j.aei.2020.101054)
• Zhang, B. et al. 2020. Adaptive position calibration technique for an optical micro-scanning thermal microscope imaging system. Infrared Physics and Technology 105, article number: 103186. (10.1016/j.infrared.2020.103186)
• Nieva de la Hidalga, A. et al. 2020. Designing an herbarium digitisation workflow with built-in image quality management. Biodiversity Data Journal 8, article number: e47051. (10.3897/BDJ.8.e47051)
• Cai, W., Xiong, Z., Sun, X., Rosin, P. L., Jin, L. and Peng, X. 2020. Panoptic segmentation-based attention for image captioning. Applied Sciences 10(1), article number: 391. (10.3390/app10010391)

2019

• Asghar, K., Sun, X., Rosin, P., Saddique, M., Hussain, M. and Habib, Z. 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., Liu, Y., Sun, X., Cairano-Gilfedder, C. and Titmus, S. 2019. Automobile maintenance prediction using deep learning with GIS data. Procedia CIRP 81, pp. -. (10.1016/j.procir.2019.03.077)
• Nieva De La Hidalga, A., Owen, D., Spasic, I., Rosin, P. and Sun, X. 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 2019Biodiversity Information Science and Standards, Vol. 3. Vol. e37161. Pensoft, (10.3897/biss.3.37161)
• Liu, J., Rosin, P. L., Sun, X., Xiao, J. and Lian, Z. 2019. Image-driven unsupervised 3D model co-segmentation. Visual Computer 35(6-8), pp. 909-920. (10.1007/s00371-019-01679-6)
• Alqazzaz, S., Sun, X., Yang, X. and Nokes, L. 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)
• Wang, H., Su, D., Liu, C., Jin, L., Sun, X. and Peng, X. 2019. Deformable non-local network for video super-resolution. IEEE Access 7, pp. 177734-177744., article number: http://dx.doi.org/10.1109/ACCESS.2019.2958030. (10.1109/ACCESS.2019.2958030)
• Liu, C., Sun, X., Chen, C., Rosin, P., Yan, Y., Jin, L. and Pen, X. 2019. Multi-scale residual hierarchical dense networks for single image super-resolution. IEEE Access 7, pp. 60572 -60583. (10.1109/ACCESS.2019.2915943)

2018

• Luo, J., Sun, X., Yiu, M. L., Jin, L. and Peng, X. 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)
• Chen, C., Liu, Y., Sun, X., Wang, S., Di Cairano-Gilfedder, C., Titmus, S. and Syntetos, A. 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 2018ASME 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)

2017

• 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 2017The 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)
• 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 Presented at 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)
• 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 20162016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, New Jersey: IEEE pp. 805-810., (10.1109/ICPR.2016.7899734)

2016

• Tralic, D., Grgic, S., Sun, X. and Rosin, P. L. 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)
• 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., Sun, X., Rosin, P. L. and Martin, R. R. 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)
• Wu, J., Rosin, P. L., Sun, X. and Martin, R. R. 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)
• 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)
• 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 2015Image and Video Technology, Vol. 9431. Lecture Notes in Computer Science Vol. 9431. Springer pp. 642-655., (10.1007/978-3-319-29451-3_51)
• Elmasri, K., Hicks, Y. A., Yang, X., Sun, X., Pettit, R. J. and Evans, W. 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)
• 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.

2015

• Pickup, D., Sun, X., Rosin, P. L. and Martin, R. R. 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)
• 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., Sun, X., Rosin, P. L., Martin, R. R., Cheng, Z., Nie, S. and Jin, L. 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 2015Eurographics Workshop on 3D Object Retrieval. pp. 316-327., (10.2312/3dor.20151063)

2014

• Ji, Z., Sun, X., Li, S. and Wang, Y. 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)
• Wu, J., Martin, R. R., Rosin, P. L., Sun, X., Lai, Y., Liu, Y. -. H. and Wallraven, C. 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)
• 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)
• 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., Rosin, P. L., Sun, X. and Grgic, S. 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)
• Dijana, T., Rosin, P. L., Sun, X. and Grgic, S. 2014. Detection of duplicated image regions using cellular automata. 2014 International Conference on Systems, Signals and Image Processing (IWSSIP), pp. 167-170.
• 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.

2013

• Lian, Z., Godil, A., Sun, X. and Xiao, J. 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)
• 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)
• 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., Godil, A., Rosin, P. L. and Sun, X. 2012. A new convexity measurement for 3D meshes. Presented at: IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, 16-21 June 20122012 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

• 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)
• 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)
• 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

• Sun, X., Rosin, P. L., Martin, R. R. and Langbein, F. C. 2009. Random walks for feature-preserving mesh denoising. Computer Aided Geometric Design 25(7), pp. 437-456. (10.1016/j.cagd.2007.12.008)
• Sun, X., Rosin, P. L., Martin, R. R. and Langbein, F. C. 2009. Noise analysis and synthesis for 3D laser depth scanners. Graphical Models 71(2), pp. 34-48. (10.1016/j.gmod.2008.12.002)
• 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 Presented at Pratikakis, I. et al. eds.Proceedings of the Eurographics Workshop on 3D Object Retrieval, Munich, Germany, 29 March 2009. Aire-la-Ville, Switzerland: Eurographics Association pp. 61-68.
• Sun, X., Rosin, P. L., Martin, R. R. and Langbein, F. C. 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)
• 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 2009Proceedings 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 2009Proceedings 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)
• 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 20099th 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)

2008

• Sun, X., Rosin, P. L., Martin, R. R. and Langbein, F. C. 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 Presented at 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)
• 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 Presented at 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., 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.
• 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)
• 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)
• Chai, W. and Sun, X. 2008. Square-root ellipsoidal state bounding and its parallel computation. Systems Engineering and Electronics 30(7), pp. 1339-1342.

2007

• Sun, X., Rosin, P. L., Martin, R. R. and Langbein, F. C. 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., Rosin, P. L., Martin, R. R. and Langbein, F. C. 2007. Random walks for mesh denoising. Presented at: SPM 2007: ACM Symposium on Solid and Physical Modeling, Beijing, China, 4-6 June 2007Proceedings, 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)
• 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)

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 Presented at 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)