Prof. Shigang Yue
University of Leicester | School of Computing and Mathematical Sciences | E mail: sy237(at)le.ac.uk
Research | Publications | Home | Short CV

Journal Papers

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  • Luan Hao, Hua Mu, Zhang Yicheng, Yue Shigang, Fu Qinbing. (2023). A BLG1 neural model implements the unique looming selectivity to diving target. Optoelectronics Letters, 19(2), 112-116. DOI: 10.1007/s11801-023-2095-0
  • Zhang Yifan, Li Xu, Wei Baoguo, Li Lixin, Yue Shigang. (2023). A Fast Hyperspectral Tracking Method via Channel Selection. Remote Sensing, 15(6), 1157, DOI: 10.3390/rs15061557
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  • Wang Hongxin, Zhao Jiannan, Wang Huatian, Peng Jigen, Yue Shigang. (2022). Attention and prediction guided motion detection for low-contrast small moving targets. IEEE Transactions on Cybernetics (in press). DOI: 10.1109/TCYB.2022.3170699
  • Lei Fang, Peng Zhiping, Liu Mei, Peng Jigen, Cutsuridis Vassilis, Yue Shigang. (2022). A robust visual system for looming cue detection against translating motion. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3149832
  • Luan Hao, Fu Qinbing, Zhang Yicheng, Mu Hua, Chen Shengyong, Yue Shigang. (2022). A looming dpatial localization neural network Inspired by MLG1 neurons in the crab neohelice. Frontier in Neuroscience 15:787256. DOI:10.3389/fnins
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  • Zhao Jiannan, Wang Hongxin, Bellotto Nicola, Hu Cheng, Peng Jigen, Yue Shigang. (2021). Enhancing LGMD's looming selectivity for UAV with spatial-temporal distributed pre-synaptic connections. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2021.3106946
  • Wang H, Wang H, Zhao J, Hu C, Peng J, Yue S (2021). A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments. IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2021.3094205
  • Liu Tian, Sun Xuelong, Hu Cheng, Yue Shigang. (2021). A multiple pheromone communication system for swarm intelligence. IEEE Access, 9, 148721-148737. DOI: 10.1109/ACCESS.2021.3124386
  • Sun Xuelong, Yue Shigang, Mangan Michael. (2021). How the insect central complex could coordinate multimodal navigation. eLife, 10, e73077
  • Isakhani H, Bellotto N, Fu Q, Yue S. (2021). Generative design and fabrication of a locust-inspired gliding wing prototype for micro aerial robots. Journal of Computational Design and Engineering, 8(5), 1191-1203
  • Isakhani H, Yue S, Xiong C, Chen W. (2021). Aerodynamic analysis and optimization of gliding locust wing using Nash genetic algorithm. AIAA Journal, 59(10), 4002-4013
  • Isakhani H, Xiong C, Cheng W, Yue S. (2021). Towards locust-inspired gliding wing prototypes for micro aerial vehicles applications. Royal Society Open Science, 8(6), 202253
  • Fu Qinbing, Sun Xuelong, Liu Tian, Hu Cheng, Yue Shigang. (2021). Robustness of bio-inspired visual systems for collision prediction in critical robot traffic. Frontier in Robotics and AI. 245. DOI: 10.3389/frobt.2021.529872
  • Na Seongin, Qiu Yiping, Turgut Ali E, Ulrich Jiri, Krajnik Tomas, Yue Shigang, Lennox Barry, Arvin Farshad. (2021). Bio-inspired artificial pheromone system for swarm robotics applications. Adaptive Behavior, 29(4), 295-415.
  • Andreakos N, Cutsuridis V, Yue S. (2021). Modelling the effects of the perforant path in the recall performance of a CA1 microcircuit with excitatory and inhibitory neurons. Journal of Computational Neuroscience, 49(suppl 1), s200-s201
  • Wang Huatian, Fu Qinbing, Wang Hongxin, Baxter Paul, Peng Jigen, Yue Shigang. (2021). A bioinspired angular velocity decoding neural network model for visually guided flights. Neural Networks, 136, pp.180-193. DOI: 10.1016/j.neunet.2020.12.008
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  • Sun Xuelong, Yue Shigang, Mangan Michael. (2020) A decentralised neural model explaining optimal integration of navigational strategies in insects. eLife, 9:e54026. DOI: 10.7554/eLife.54026
  • Hu Cheng, Xiong Caihua, Yue Shigang (2020). Coping With Multiple Visual Motion Cues Under Extremely Constrained Computation Power of Micro Autonomous Robots. IEEE Access, 8, 159050-159066. DOI: 10.1109/ACCESS.2020.3016893
  • Fu Qinbing and Yue Shigang. (2020). Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds. Biological Cybernetics 114 (4), pp.443-460. DOI: 10.1007/s00422-020-00841-x
  • Fu Qinbing, Wang Huatian, Peng Jigen, Yue Shigang (2020). Improved collision perception neuronal system model with adaptive inhibition mechanism and evolutionary learning. IEEE Access, 8, 108898-108912. DOI: 10.1109/ACCESS.2020.3001396
  • Chen Bowei, Huang Jingmin, Huang Yufei, Kollias Stefanos, Yue Shigang. (2020). Combining guaranteed and spot markets in display advertising: selling guaranteed page views with stochastic demand. European Journal of Operational Research, 280 (3), pp.1144-1159. DOI: 10.1016/j.ejor.2019.07.067
  • Na Seongin, Qiu Yiping, Turgut Ali E, Ulrich Jiri, Krajník Tomas, Yue Shigang, Lennox Barry, Arvin Farshad (2020). Bio-inspired artificial pheromone system for swarm robotics applications. Adaptive Behavior, published on June 3, 2020, DOI: 10.1177/1059712320918936
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  • Coşar Serhan, Fernandez-Carmona Manuel, Agrigoroaie Roxana, Pages Jordi, Ferland François, Zhao Feng, Yue Shigang, Bellotto Nicola, Tapus Adriana. (2019). ENRICHME: Perception and Interaction of an Assistive Robot for the Elderly at Home. International Journal of Social Robotics, 12(3), pp.779-805.
  • Fu Qinbing, Hu Cheng, Peng Jigen, Rind F Claire, Yue Shigang. (2019). A Robust Collision Perception Visual Neural Network with Specific Selectivity to Darker Objects. IEEE Transactions on Cybernetics, 50(12), pp.5074-5088. DOI: 10.1109/TCYB.2019.2946090
  • Fu Qinbing, Wang Hongxin, Hu Cheng, Yue Shigang. (2019). Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review. Artificial Life, 25(3), pp.263-311.
  • Liu Daqi, Bellotto Nicola, Yue Shigang. (2019). Deep spiking neural network for video-based disguise face recognition based on dynamic facial movements. IEEE Transactions on Neural Networks and Learning Systems, 31(6), pp.1843-1855. DOI: 10.1109/TNNLS.2019.2927274
  • Wang Hongxin, Peng Jigen, Zheng Xuqiang, Yue Shigang. (2019). A Robust Visual System for Small Target Motion Detection against Cluttered Moving Backgrounds. IEEE Transactions on Neural Networks and Learning Systems, 31(3), pp.839-853. DOI: 10.1109/TNNLS.2019.2910418
  • Attar Rahman, Xie Xiang, Wang Zhihua, Yue Shigang. (2019). 2D reconstruction of small intestine's interior wall. Computers in biology and medicine, 105, pp.54-63. DOI: 10.1016/j.compbiomed.2018.12.001
  • Yu Yongchao, Peng Jigen, Yue Shigang. (2019). A new nonconvex approach to low-rank matrix completion with application to image inpainting. Multidimensional Systems and Signal Processing, 30(1), pp.145-174. DOI: 10.1007/s11045-018-0549-5
  • Yu Yongchao, Peng Jigen, Yue Shigang. (2019). A new nonconvex approach to low-rank matrix completion with application to image inpainting. Mutidimensional Systems and Signal Processing, 30(1), pp.145-174. DOI: 10.1007/s11045-018-0549-5
  • Fu Qiang, Yue Shigang, He Bo, Fu Ning. (2019). Multiple coupled circuit modelling approach for squirrel cage induction machine under single-broken-bar fault with stator winding functions decomposed in d–q rotor reference frame. IET Electric Power Applications, 13(7), pp.889-900. DOI: 10.1049/iet-epa.2018.5397
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  • Chen Yingtong, Peng Jigen, Yue Shigang. (2018). Preconditioning for Orthogonal Matching Pursuit with Noisy and Random Measurements: The Gaussian Case. Circuits, Systems, and Signal Processing, 37(9), pp.4109-4127. DOI: 10.1007/s00034-017-0730-3
  • Lv Fangxu, Zheng Xuqiang, Zhao Feng, Wang Jianye, Yue Shigang, WanZiqiang g, Cao Weidong, He Yajun, Zhang Chun, Jiang Hanjun, Wang Zhihua. (2018). A power scalable 2–10 Gb/s PI-based clock data recovery for multilane applications. Microelectronics Journal, 82, pp.36-45. DOI: 10.1016/j.mejo.2018.10.007
  • Wang Hongxin, Peng Jigen, Yue Shigang. (2018). A directionally selective small target motion detector in visual cluttered backgrounds. IEEE Trans. Cybernetics, 50(4), pp.1541-1555. DOI: 10.1109/TCYB.2018.2869384
  • Jia Junxiong, Yue Shigang, Peng Jigen, Gao Jinghuai. (2018). Infinite-dimensional Bayesian approach for inverse scattering problems of a fractional Helmholtz equation. Journal of Functional Analysis, 275(9), pp.2299-2332. DOI: 10.1016/j.jfa.2018.08.002
  • Fu Qinbing, Hu Cheng and Yue Shigang. (2018). Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation. Neural Networks, 106, pp.127-143. DOI: 10.1016/j.neunet.2018.04.001
  • Liu Daqi and Yue Shigang (2018). Event-Driven Continuous STDP Learning With Deep Structure for Visual Pattern Recognition. IEEE Trans. on Cybernetics, 49(4), pp.1377-1390. DOI: 10.1109/TCYB.2018.2801476
  • Chen W, Xiong C, Chen W, Yue S. (2018). Mechanical adaptability analysis of under-actuated mechanisms. Robotics and Computer-Integrated Manufacturing, 49, pp.436-447.
  • Gao Yi, Peng Jigen, Yue Shigang. (2018). Sparse recovery in probability via lq-minimization with Weibull random matrices for 0 lt q le 1. Applied Mathematics – A Journal of Chinese Universities, 33(1), pp.1-24.
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  • Zheng X, Zhang C, Lv F, Zhao F, Yuan S, Yue S, Wang Z, Li F, Wang Z . (2017). A 40-Gb/s quarter-rate SerDes transmitter and receiver chipset in 65-nm CMOS, IEEE Journal of Solid-State Circuits, 52 (11), pp.2963-2978.
  • Chen Yingtong, Yue Shigang, PengJigen. (2017). Preconditioning for Orthogonal Matching Pursuit with Noisy and Random Measurements: The Gaussian Case. Circuits Syst Signal Process, published online: 22 December 2017. DOI: 10.1007/s00034-017-0730-3
  • Gao Yi, Yue Shigang, Huang Yongdong. (2017). Stability of lq-analysis based dual frame with Weibull matrices for 0< q≤ 1. International Journal of Wavelets, Multiresolution and Information Processing, 15(01), 1740001. DOI:10.1142/S0219691317500011
  • Wen Meng, Peng Jigen, Tang Yuchao, Zhu Chuanxi, Yue Shigang. (2017). A Preconditioning technique for first-order primal-dual splitting method in convex optimization. Mathematical Problems in Engineering, 2017, ID 3694525. DOI:10.1155/2017/3694525
  • Gao Yi, Peng Jigen, Yue Shigang. (2017). Stability and robustness of the l 2/lq-minimization for block sparse recovery. Signal Processing, 137, pp.287-224.
  • Wang Dongdon, Hou Xinwen, Xu Jiawei, Yue Shigang, Liu Cheng-Lin. (2017). Traffic sign detection using a cascade method with fast feature extraction and saliency test. IEEE Transactions on Intelligent Transportation Systems, 18(2), pp.3290-3302. DOI: 10.1109/TITS.2017.2682181
  • Liu Daqi. and Yue Shigang. (2017). Unsupervised Learning for Visual Pattern Recognition using Spiking Time Dependent Plasticity. Neurocomputing, 249, pp.212-224. DOI: 10.1016/j.neucom.2017.04.003
  • Xu, Jiawei, Yue, Shigang, Fedrica Mechillini. and Guo Kun. (2017). What has been missed in modeling human attention systems in driving? PeerJ, Published 1 February 2017, DOI: 10.7717/peerj.2946
  • Hu Bin, Yue Shigang and Zhang ZhuHong. (2017). A rotational motion perception neural network base on asymmetric spatiotemporal visual information processing. IEEE Transactions on Neural Networks and Learning Systems, 28(11), pp.2803-2821. DOI: 10.1109/TNNLS.2016.2592969
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  • Zheng Xuqiang, Yuan Shuai, Zhao Feng, Zhang Chun, Wang Ziqiang, Yue Shigang, Li Fule, Wang Zhihua. (2016). A 14-bit 250 MS/s IF sampling pipelined ADC in 180 nm CMOS process. IEEE Transactions on Circuits and Systems I, 63(9), pp.1381-1392. DOI: 10.1109/ESSCIRC.2016.7598303
  • Zheng Xuqing, Li Fule, Wang Zhijun, Li Weidao, Jia Wen, Wang Zhihua, Yue Shigang. (2016). An S/H circuit with parasitic optimized for IF-sampling. Journal of Semiconductors, 6, 162-166
  • Xiong Caihua, Chen Wenrui, Sun Baiyang, Liu Mingjin, Yue Shigang and Chen Wenbin. (2016). Design and implementation of anthropomorphic hand for replicating human grasping functions. IEEE Transactions on Robotics, 32(3), pp.652-671. DOI: 10.1109/TRO.2016.2558193
  • Hu Cheng, Arvin Farshad, Xiong Caihua and Yue Shigang. (2016). Bio-inspired embedded vision system for autonomous micro-robots. IEEE Transactions on Cognitive and Developmental Systems, 9(3), pp.241-254. DOI: 10.1109/TCDS.2016.2574624
  • Arvin Farshad, Turgut Ali Emre, Krajnik Tomas, and Yue Shigang (2016). Investigation of cue-based aggregation in static and dynamic environments with a mobile robot swarm. Adaptive Behavior, 24 (2), pp.102-118. DOI: 10.1177/1059712316632851
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  • Gao Yi, Peng Jigen, Yue Shigang and Zhao Yuan. (2015). On the null space property of minimization for in compressed sensing. Journal of Function Spaces, DOI:10.1155/2015/579853
  • Arvin Farshad, Xiong Caihua, and Yue Shigang. (2015). Colias-Φ: an autonomous micro robot for artificial pheromone communication. International Journal of Mechanical Engineering and Robotics Research, 4(4), pp.349-353.
  • Peng Jigen, Yue Shigang and Li Haiyang. (2015). NP/CLP equivalence: a phenomenon hidden among sparsity models for information processing. IEEE Transactions on Information Theory, 61(7), pp. 4028-4033. DOI: 10.1109/TIT.2015.2429611
  • Chen Wenbin, Xiong Caihua and Yue Shigang. (2015). On configuration trajectory formation in spatiotemporal profile for reproducing human hand reaching movement. IEEE Transactions on Cybernetics, 46(3), pp.804-816. Publication online 2 April 2015. DOI: 10.1109/TCYB.2015.2416311
  • Arvin Farshad, Murray John, Shi Licheng, Zhang Chun and Yue Shigang. (2015). Colias: an autonomous micro robot for swarm robotic applications. International Journal of Advanced Robotic Systems, 11(113), pp.1-10. DOI: 10.5772/58730
  • Zhang Zhu-Hong, Zhang Guopeng and Yue Shigang. (2015). Fly visual systems inspired artificial neural network for collision detection. Neurocomputing, 153, pp.221-234. [DOI:10.1016/j.neucom.2014.11.033]
  • Chen Wenbin, Xiong Caihua and Yue Shigang. (2015). Mechanical Implementation of Kinematic Synergy for continual grasping generation of anthropomorphic hand. IEEE/ASME Transactions on Mechatronics, 20(3), pp.1249-1263. DOI:10.1109/TMECH.2014.2329006
  • Li Haiyang, Peng Jigen and Yue Shigang. (2015). The sparsity of underdetermined linear system via lp minimization for 0Xu Jiawei and Yue Shigang. (2015). Building up a bio-inspired visual attention model by integrating top-down shape bias and improved meanshift adaptive segmentation. International Journal of Pattern Recognition and Artificial Intelligence, 29(4), 1555005. DOI:10.1142/S0218001415550058
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  • Arvin Farshad, Turgut Ali Emre, Bazyari Farhad, Arikan Kutluk Bilge, Bellotto Nicola and Yue Shigang. (2014). Cue-based aggregation with a mobile robot swarm: a novel fuzzy-based method. Adaptive Behavior, 22(3), pp.189-206. DOI: 10.1177/1059712314528009
  • Liu Haifeng and Yue Shigang (2014). An efficient method to structural static reanalysis with deleting support constraints. Structural Engineering and Mechanics, 52(6), pp.1121-1134.
  • Tang Yuchao, Peng Jigen and Yue Shigang. (2014). Cyclic and simultaneious iterative methods to matrix equations of the form AiXBi=Fi. Numerical Algorithms, 66(2), pp.379-397. DOI: 10.1007/s11075-013-9740-9
  • Xu Jiawei and Yue Shigang. (2014). Mimicking visual searching with integrated top down cues and low-level features. Neurocomputing, 133, pp.1-17. DOI: 10.1016/j.neucom.2013.11.037
  • Teh Pin Shen, Teoh Andrew Beng Jin and Yue Shigang. (2014). Credential hardening by using touchstroke dynamics. Sunway Academic Journal, Special Issue, 11, pp.35-54.
  • Tang Yuchao, Peng Jigen, and Yue Shigang. (2014). Cyclic and simultaneous iterative methods to matrix equations of the form AiXBi=Fi. Numerical Algorithms, 62(2), pp.379-397. DOI:10.1007/s11075-013-9740-9
  • Yue Shigang, Hammer Karl, Adams Karen, Guo Kun and Hunter Andrew (2014). Automatic blush detection in concealed information test using visual stimuli. International Journal of Data Mining, Modeling and Management, Special Issue, 6(2), pp.187-201. [pdf] (0.3MB).
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  • Arvin Farshard, Turgut Ali Emre, Bellotto Nicola and Yue Shigang. (2013). Comparison of different cue-based swarm aggregation strategies. Advances in Swarm Intelligence, 8794 of the series Lecture Notes in Computer Science, pp.1-8.
  • Yue Shigang and Rind F. Claire. (2013). Evolutionary comparison of visual neural subsystems for collision recognition. IEEE Transactions on Autonomous Mental Development, 5(2), pp.173-186. DOI: 10.1109/TAMD.2013.2255050 (Open Access PDF) (3.3MB) (DOI 10.1109/TAMD.2013.2255050)
  • Teh Pin Shen, Teoh Andrew BJ and Yue Shigang. (2013). A survey of keystroke dynamics biometrics. The Scientific World Journal, 2013, Article ID 408280. DOI:10.1155/2013/408280
  • Zhang Zhu-Hong, Yue Shigang, Liao Min and Long Fei. (2013). Danger theory based artificial immune system solving dynamic constrained single-objective optimization. Soft Computing, 18(1), pp.185-206. DOI: 10.1007/s00500-013-1048-0
  • Xu Jiawei and Yue Shigang. (2013). A computational model of extrastriate visual area MT on motion perception. International Journal of Advanced Computer Science and Applications, 4(5), pp.69-78.
  • Yue Shigang and Rind F. Claire. (2013) Postsynaptic organization of directional selective visual neural networks for collision detection. Neurocomputing, 103, pp.50-62. DOI:10.1016/j.neucom.2012.08.027 [pdf] (1.56MB)
  • Xu Jiawei and Yue Shigang, (2013). Fusion of saliency maps for visual attention selection in dynamic scenes. International Journal of Advanced Research in Artificial Intelligence, 2(4), pp.48-58.
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  • Yue Shigang and Rind F.Claire. (2012). Visually stimulated motor control for a robot with a pair of LGMD visual neural networks. International Journal of Advanced Mechatronic Systems, 4(5), pp.237-247.
  • Teh Pin Shen, Yue Shigang and Teoh BJ Andrew. (2012). Feature fusion approach on keystroke dynamics efficiency enhancement. International Journal of Cyber-Security and Digital Forensics, 1(1), pp.20-31.
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  • Meng Hongying, Appiah Kofi, Yue Shigang, Hunter Andrew, Hobden Mervyn, Priestley Nigel, Hobden Peter and Pettit Cy. (2010). Modified Model for the Lobula Giant Movement Detector and Its FPGA Implementation. Computer Vision and Image Understanding, 2010, vol.114(11), pp.1238-1247. ISSN 1077-3142, doi:10.1016/j.cviu.2010.03.017 [pdf] (0.5MB).
  • Yue Shigang, Santer Roger D, Yamawaki Yoshifumi and Rind F. Claire. (2010). Reactive direction control for a mobile robot: A locust-like control of escape direction emerges when a bilateral pair of model locust visual neurons are integrated. Autonomous Robot, 2010, vol.28, pp.151-167. [pdf] (0.6MB)
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  • Cinly Ooi, Edward T. Bullmore, Alle-Meije Wink, Levent Sendur, Anna Barnes, Sophie Achard, John Aspden, Sanja Abbott, Shigang Yue, Manfred Kitzbichler, David Meunier, Voichita Maxim, Raymond Salvador, Julian Henty, Roger Tait, Naresh Subramaniam and John Suckling. (2009). CamBAfx: workflow design, implementation and application for neuroimaging. Frontiers in Neuroinformatics, published: 28 August 2009, vol.3 (articial 27), pp.1-10, doi: 10.3389/neuro.11.027.2009. [pdf](1.6MB)
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  • Yue Shigang and Rind F. Claire. (2007). A synthetic vision system using directionally motion detectors for collision scene recognition. Artificial Life, 2007, vol.13(2), pp.93-122. [pdf] (1.3MB)
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  • Yue Shigang and Rind F. Claire. (2006). Visual motion pattern extraction and fusion for collision detection in dynamic scenes. Computer Vision and Image Understanding, 2006, vol.104(1), pp.48-60. [pdf] (0.8MB)
  • Yue Shigang and Rind F. Claire. (2006). Collision detection in complex dynamic scenes using a LGMD based visual neural network with feature enhancement. IEEE Transactions on Neural Networks, 2006, vol.17(3), pp.705-716. [pdf] (0.7MB)
  • Yue Shigang, Rind F. Claire, Keil Matthais S., Cuadri Jorge & Stafford Richard. (2006). A bio-inspired visual collision detection mechanism for cars: optimization of a model of a locust neuron to a novel environment. Neurocomputing, 2006, vol.69(13-15), pp.1591-1598.
  • Yue Shigang and Henrich Dominik. (2006). Manipulating deformable linear objects: fuzzy based active skill. Journal of Intelligent Robotic Systems, 2006, vol.46(3), pp.201-219.
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  • Yue Shigang and Henrich Dominik. (2005). Manipulating deformable linear objects: sensor-based skills of adjustment-motion for vibration elimination. Journal of Robotic Systems, 2005, vol.22 (2), pp.67-85.
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  • Xu W.L and Yue Shigang. (2004). Pre-Posed-Configuration of Flexible Redundant Robot Manipulators for Impact Vibration Alleviating. IEEE transactions on Industrial Electronics, 2004, vol.51 (1), 195-200.
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  • Yue Shigang, Henrich Dominik, Xu W.L. and Tso S.K. (2002). Point-to-point trajectory planning for flexible redundant robot manipulators using genetic algorithms. International Journal of Robotica, 2002, Vol.20, pp.269-280.
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  • Yue Shigang and Henrich Dominik. (2001). Manipulating deformable linear objects: attachable adjustment motions for vibration reduction. Journal of Robotic Systems, Vol.18 (7), 2001, pp.375-389.
  • Yue Shigang, Tso S.K. and Xu W.L. (2001). Maximum-Dynamic-Payload trajectory for flexible robot manipulators with kinematic redundancy. International Journal of Mechanism and Machine Theory, Vol.36(6), 2001, pp.785-800.
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  • Yue Shigang. (2000). Weak-vibration configurations for flexible robot manipulators with kinematics redundancy. Mechanism and Machine Theory, Vol.35, 2000, pp.165-178.
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  • Yue Shigang. (1998). Redundant robot manipulators with joint and link flexibility part II: residual vibration decreasing. Mechanism and Machine Theory, Vol.33, 1998, pp.103-113.
  • Yue Shigang (1998). Redundant robot manipulators with joint and link flexibility part I : dynamic motion planning for minimum end effector deformation. Mechanism and Machine Theory, Vol.33, 1998, pp.115-122.
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  • Yue Shigang, Yu Yueqing and Bai Shixian. (1997). Flexible Rotor Beam Element for Manipulators with Link and Joint Flexibility. Mechanism and Machine Theory, Vol.32,No.2, 1997, pp.209-219.

Conference Papers

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  • Huang J., Chen B., Luo L., Yue S. and Ounis I. (2022). DVM-CAR: a large-scale automotive dataset for visual marketing research and applications. IEEE International Conference on Big Data (Big Data), 2022, pp.4140-4147.
  • Luan H., Hua M., Peng J., Yue S., Chen S. and Fu Q. (2022). Accelerating motion perception model minics the visual neuronal ensemble of crab. International Joint Conference on Neural Networks (IJCNN), 2022.
  • Li Z., Fu Q., Yue S. and Peng J. (2022). Dynamic signal suppression increases the fidelity of looming perception against input variability. International Joint Conference on Neural Networks (IJCNN), 2022.
  • Wu, C., Shuang F., Wang H., Zhao J. and Yue S. (2022). Dynamic powerlines detection for UAVs by attention fused looming detector. International Joint Conference on Neural Networks (IJCNN), 2022.
  • Hua Mu., Fu Q., Peng J., Yue S. and Luan H. (2022). Shaping the ultra-selectivity of a looming detection neural networks from non-linear correlation of radial motion. International Joint Conference on Neural Networks (IJCNN), 2022.
  • Zhang Y., Zhao J., Hua M., Luan H., Liu M., Lei F., Cuayahuitl H. and Yue S. (2022). O-LGMD: an opponent colour lgmd-based model for collision detection with thermal images at night. Artificial Neural Networks and Machine Learning (ICANN), Bristol, UK, Sept 6-9, 2022, pp.249-260.
  • Fu Q., Liu T., Sun X., Wang H., Hu C., Peng J. and Yue S. (2022). Efficient bio-robotic estimation of visual dynamic complexity. International Conference on Advanced Robotics and Mechatronics (ICARM), 2022, pp.569-574
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  • Fu Q., Peng J., Yue S. (2021). Bioinspird contrast vision computation for robust motion estimation against natural signals. International Joint Conference on Neural Networks (IJCNN), 2021, 1-8
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  • Isakhani H., Yue S., Xiong C., Chen W., Sun X. and Liu T. (2020). Fabrication and Mechanical Analysis of Bioinspired Gliding-optimized Wing Prototypes for Micro Aerial Vehicles, 5th International Conference on Advanced Robotics and Mechatronics (ICARM), Shenzhen, China, 2020, pp. 602-608, DOI: 10.1109/ICARM49381.2020.9195392.
  • Bahrami SY Siavash, Doraisamy Shyamala, Azman Azreen, Hasharuddin Nurul Amelina. (2020). Acoustic feature analysis for wet and dry road surface classification using two-stream CNN. 4th International Conference on Computer Science and Artificial Intelligence (CSAI2020), pp.194-200
  • Liu T., Sun X., Hu C., Fu Q., Isakhani H. and Yue S. (2020). Investigating Multiple Pheromones in Swarm Robots - A Case Study of Multi-Robot Deployment, 5th International Conference on Advanced Robotics and Mechatronics (ICARM), Shenzhen, China, pp. 595-601, DOI: 10.1109/ICARM49381.2020.9195311.
  • Fu Q. and Yue S (2020). Complementary Visual Neuronal Systems Model for Collision Sensing, 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM), Shenzhen, China, 2020. pp. 609-615, DOI: 10.1109/ICARM49381.2020.9195303.
  • Andreakos N., Yue S., Cutsuridis V. (2020). Recall Performance Improvement in a Bio-Inspired Model of the Mammalian Hippocampus. In: Mahmud M., Vassanelli S., Kaiser M.S., Zhong N. (eds) Brain Informatics. BI 2020. Lecture Notes in Computer Science, vol 12241. Springer, Cham, 2020. DOI: https://doi.org/10.1007/978-3-030-59277-6_29
  • Andreakos N., Yue S., Cutsuridis V. (2020). Improving Recall in an Associative Neural Network Model of the Hippocampus. In: Vouloutsi V., Mura A., Tauber F., Speck T., Prescott T.J., Verschure P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2020. Lecture Notes in Computer Science, vol 12413. Springer, Cham. DOI: 10.1007/978-3-030-64313-3_1
  • Lei F, Peng Z, Cutsuridis V, Liu M, Zhang Y, Yue S. (2020). Competition between ON and OFF Neural Pathways Enhancing Collision Selectivity. 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, pp. 1-8, DOI: 10.1109/IJCNN48605.2020.9207131
  • Isakhani H, Xiong C, Yue S, Chen W. (2020). A bio-inspired airfoil optimization technique using Nash genetic algorithm. 17th International Conference on Ubiquitous Robots (UR), pp. 506-513.
  • Fu Q., Bellotto N., Wang H., Claire Rind F., Wang H., Yue S. (2019) A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios. In: MacIntyre J., Maglogiannis I., Iliadis L., Pimenidis E. (eds) Artificial Intelligence Applications and Innovations. AIAI 2019. IFIP Advances in Information and Communication Technology, vol.559. Springer, Cham. DOI: 10.1007/978-3-030-19823-7_5
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  • Sun Xuelong, Liu Tian, Hu Cheng, Fu Qinbing, Yue Shigang. (2019). ColCOS φ: A multiple pheromone communication system for swarm robotics and social insects research. 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM). DOI: 10.1109/ICARM.2019.8833989
  • Zhao J, Ma X, Fu Q, Hu C, Yue S. (2019). An LGMD Based Competitive Collision Avoidance Strategy for UAV. IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2019), published online 12 May 2019, pp.80-91
  • Wang H, Fu Q, Wang H, Peng J, Yue S. (2019). Constant Angular Velocity Regulation for Visually Guided Terrain Following. IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2019), published online 12 May 2019, pp.597-608.
  • Jiang R, Li X, Mei S, Li L, Yue S, Zhang L. (2019). Learning Spatial and Spectral Features VIA 2D-1D Generative Adversarial Network for Hyperspectral Image Super-Resolution. 2019 IEEE International Conference on Image Processing (ICIP), pp.2149-2153.
  • H Wang, Q Fu, H Wang, J Peng, P Baxter, C Hu, S Yue (2019). Angular velocity estimation of image motion mimicking the honeybee tunnel centering behavior. 2019 International Joint Conference on Neural Networks (IJCNN) 14-19 July 2019, Budapest,Hungary. DOI: 10.1109/IJCNN.2019.8852321
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  • Pan Yu, Li Xu, Li Lixin, Gao Ang, Yue Shigang. (2018). A new pansharpening method using multistage joint bilateral filtering. 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), 31 May – 2 June, 2019, Wuhan, China. DOI: 10.1109/ICIEA.2018.8397894
  • Pan Yu, Li Xu, Gao Ang, Li Lixin, Mei Shaohui, Yue Shigang. (2018). A new Pansharpening Method with Multi-Scale Structure Perception. IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium. pp.8046-8049. DOI: 10.1109/IGARSS.2018.8518250
  • Hu C, Fu Q, Liu T, Yue S. (2018). A hybrid visual-model based robot control strategy for micro ground robots. International Conference on Simulation of Adaptive Behavior, pp.162-174.
  • Hu C, Fu Q, Yue S. (2018). Colias IV: the affordable micro robot platform with bio-inspired vision. 19th Towards Autonomous Robotics Systems (TAROS) Conference, pp.197-208, pp.25-27 July 2018, Bristol, UK.
  • Fu Q, Hu C, Liu P, Yue S. (2018). Towards computational models of insect motion detectors for robot vision. 19th Towards Autonomous Robotics Systems (TAROS) Conference, 25-27 July 2018, Bristol, UK.
  • Cosar S, Yan Z, Zhao F, Lambrou T, Yue S, Bellotto N. (2018). Thermal camera based physiological monitoring with an assistive robot. IEEE International Engineering in Medicine and Biology Conference (EMBC’18), 17-21 July 2018, Honolulu, HI.
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  • Rahman Ashiqur, Ahmed Amr, Yue Shigang. (2017). Classification of tongue-glossitis abnormalities. International Conference of Data Mining and Knowledge Engineering, 5th - 7th July, 2017, London, United Kingdom.
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  • Qi Weifeng, Li Xu, Yue Shigang. (2016). A guided filtering and HCT integrated pansharpening method for WorldView-2 satellite images. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). pp.7272-7275. DOI: 10.1109/IGARSS.2016.7730896
  • Fu Qinbing, Yue Shigang, Hu Cheng. (2016). Bio-inspired collision detector with enhanced selectivity for ground robotic vision system. In: 27th British Machine Vision Conference, 19-22 September 2016, York, UK.
  • Zheng Xuqiang, Zhang Chun, Lv Fangxu, Zhao Feng, Yue Shigang, Wang Ziqiang, Li Fule, Wang Zhihua. (2016). A 5-50 Gb/s quarter rate transmitter with a 4-tap multiple-MUX based FFE in 65 nm CMOS. 42nd European Solid-State Circuits Conference, (ESSCIRC 2016). pp.305-308. DOI: 10.1109/ESSCIRC.2016.7598303
  • Zhang Guopeng, Zhang Chun, Yue Shigang. (2016). LGMD and DSNs neural networks integration for collision predication. 2016 International Joint Conference on Neural Networks (IJCNN), pp.1174-1179. DOI: 10.1109/IJCNN.2016.7727330
  • Liu Daqi, Yue Shigang. (2016). Visual pattern recognition using unsupervised spike timing dependent plasticity learning. 2016 International Joint Conference on Neural Networks (IJCNN), pp.285-292. DOI: 10.1109/IJCNN.2016.7727210
  • Wang Hongxin, Peng Jigen, Yue Shigang. (2016). Bio-inspired small target motion detector with a new lateral inhibition mechanism. 2016 International Joint Conference on Neural Networks (IJCNN), pp.4751-4758. DOI: 10.1109/IJCNN.2016.7727824
  • Li Xu, Zhang Yiming, Gao Yanan, Yue Shigang. (2016). Using guided filtering to improve gram-schmidt based pansharpening method for GeoEye-1 satellite images. ISCT2016, 22-23 Dec 2016, Shanghai, China. (Best Paper Award).
  • Li Xu, Qi Weifeng, Yue Shigang. (2016). An effective pansharpening method based on guided filtering. 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 5-7 June 2016, pp.534-538. DOI: 10.1109/ICIEA.2016.7603642
  • Yang Yifan, Ahmed Amr, Yue Shigang, Xie Xiang and Wang Zhihua. (2016). An algorithm for accurate needle orientation. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), August 16-20, 2016, Orlando, FL.
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  • Krajnik Tomas, Arvin Farshad, Turgut Ali Emre and Yue Shigang. (2015). COSΦ: Vision-based artificial pheromone system for robotics swarms. In: International Conference on Robotics and Automation (ICRA’15), 26-30 May 2015, Seattle, USA.
  • Gyebi Ernest, Arvin Farshad, Hanheide Marc, Yue Shigang and Cielniak Grzegorz. (2015). Colias: towards an affordable mobile robot for education in developing countries. In: Developing Countries forum at ICRA 2015, 29 may, 2015, Seattle, USA.
  • Chen Ping, Zhang Chun, Jiang Hanjun, Wang Zhihua and Yue Shigang. (2015). High performance low complexity BCH error correction circuit for SSD controllers. 2015 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC). pp.217-220. DOI:10.1109/EDSSC.2015.7285089
  • Cao Weidong, Zheng Xuqiang, Wang Ziqiang, Li Dongmei, Li Fule, Yue Shigang and Wang Zhihua. (2015). A 15Gb/s wireline repeater in 65nm CMOS technology. 2015 IEEE International Conference on Electron Devices and Solid-State Circuits (EDSSC). pp.590-593. DOI: 10.1109/EDSSC.2015.7285183
  • Fu Qinbing and Yue Shigang. (2015). Modelling LGMD2 visual neuron system. IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP). pp.1-6. DOI:10.1109/MLSP.2015.7324313
  • Wang Dongdon, Yue Shigang, Xu Jiawei, Hou Xinwen and Cheng-Lin Liu. (2015). A saliency-based cascade method for fast traffic sign detection. IEEE Intelligent Vehicles Symposium (IV), pp.180-185. DOI: 10.1109/IVS.2015.7225683
  • Arvin Farshad, Krajnik Tomas, Turgut, Ali Emre, Yue Shigang. (2015). COS-Φ: artificial pheromone system for robotic swarms research. IEEE/RSJ International Conference on Intelligent Robots and Systems. DOI: 10.1109/IROS.2015.7353405
  • Arvin F. Attar A., EmreTurgut A., and Yue Shigang. (2015). Power-Law Distribution of Long-Term Experimental Data in Swarm Robotics, Springer International Conference on Advances in Swarm and Computational Intelligence (ICSI'2015), Beijing, China, June 2015.
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  • Liu Daqi and Yue Shigang. (2014). Spiking neural network for visual pattern recognition. IEEE International Conference on Mutisensor Fusion and Information Integration for Intelligent System (MFI), Beijing, China.
  • Zahi Gebirel and Yue Shigang. (2014). Reducign motion blurring associated with temporal summation in low light scenes for image quality enhancement. IEEE International Conference on Mutisensor Fusion and Information Integration for Intelligent System (MFI), Beijing, China. DOI:10.1109/MFI.2014.6997725
  • Hu Cheng, Arvin Farshad and Yue Shigang. (2014). Development of a bilo-inspired vision system for mobile micro-robots. ICDL-Epirob 2014, Genova, Italy. DOI:10.1109/DEVLRN.2014.6982958
  • Attar Abudlerahman, Xie Xiang, Zhang Chun, Wang Zhihua and Yue Shigang. (2014). Wireless micro-ball endoscopic images enchancement using histogram information. Engineering in Medicine and Biology Society (EMBC’14), 2014, 36th Annual International Conference of the IEEE, pp.3337-3340.
  • Shi Licheng, Zhang Chun and Yue Shigang (2014). Vector control IC for permanent magnet synchronous motor, IEEE International conference on Electron Devices and Solid-State Circuits (EDSS2014), 18-20 June 2014, Chengdu, China
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  • Xu Jiawei and Yue Shigang. (2013). Bio-inspired motion attention for gist perception under spatio-temporal dimension. ASSRI Procedia 5, 243-248.
  • Zahi Gabriel and Yue Shigang. (2013). Automatic detection of low light images in a video sequence Shot under different light conditions, Modelling Symposium (EMS), 2013 European, pp.271-276
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  • Xu Jiawei and Yue Shigang. (2012). A top-down attention model based on the semi-supervised learning. 5th International Conference on Biomedical Engineering and Informatics (BMEI), pp.1011-1014.
  • Tang Yuchao, Peng Jigeng, Yue Shigang and Xu Jiawei. (2012). A primal dual proximal point method of Chambolle-Pock algorithms for l1-TV minimization problems in image reconstruction. 5th International Conference on Biomedical Engineering and Informatics (BMEI), pp.12-16.
  • Liu Shuanglong, Tang Yuchao, Zhang Chun and Yue Shigang. (2012). Self-map building in wireless sensor network based on TDOA measurements. IEEE Multiple Sensor Fusion 2012, Hamburg, Germany, pp.150-155.
  • Teh Pin Shen, Yue Shigang, Andrew B.J. Teoh. (2012). Improving keystroke dynamics authentication system via multiple feature fusion scheme. The International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec2012), June, 2012, Kuala Lumpur, Malaysia, pp.277-282.
  • Xu Jiawei and Yue Shigang. (2012). Visual based contour detection by using the improved short path finding. EANN2012, Sept, 2012, London, UK.
  • Arvin Farshad and Yue Shigang. (2012). Honeybee Aggregation with a Swarm Robotic System. 5th European Conference of Apidology, September 2012, Halle, Germany.
  • Arvin Farshad, Turgut A. E. and Yue Shigang. (2012). Fuzzy-Based Aggregation with a Mobile Robot Swarm. 8th International Conference on Swarm Intelligence, ANTS, Sept. 2012, Brussels, Belgium, Swarm Intelligence, Lecture Notes in Computer Science, vol.7461, 2012, pp.346-347.
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  • Smith Mark N R, Shaker Marwan, Yue Shigang and Tom Duckett. (2011). Alturi: a thin middleware for simulated robot vision applications. IEEE International Conference on Computer Science and information Technology (ICCSIT), 9-12, June, 2011, Chengdu, China.
  • Belevskiy Vladimir and Yue Shigang. (2011). Near range pedestrian collision detection using bio-inspired visual neural networks. Proceeding of International Conference on Natural Computation, 26-29 July, 2011, Shanghai, China, vol.2, pp.786-790.
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  • Karl Hammer, Yue Shigang, Adams Karen and Guo Kun (2010). Automatic blush detection in concealed information test using visual stimuli. International Conference on Soft Computing and Pattern Recognition (SoCPaR 2010), 07-10, Dec. 2010, Paris, France, pp.259-264. (Note: this paper has been selected as one of best conference papers to be expanded for a special issue of International Journal of Data Mining, Modeling and Management, Elsevier).
  • Shaker Marwan, Smith Mark N R, Yue Shigang and Duckett Tom. (2010). Vision-based landing of a simulated unmanned aerial vehicle with fast reinforcement learning. In: International Symposium on Learning and Adaptive Behaviour in Robotics Systems (LAB-RS 2010), 6-7 September 2010, Canterbury, UK, pp.183-188.
  • Shaker Marwan, Duckett Tom and Yue Shigang (2010). A vision-guided parallel parking system for a mobile robot using approximate policy iteration. 11th Conference Towards Autonomous Robotic Systems (TAROS'2010), 31st August - 1st September 2010, Plymouth, Devon.
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  • Yue Shigang and Rind F. Claire. (2009). Near range path navigation using LGMD visual neural networks. Proceeding of International Conference on Artificial Intelligence and Neural Networks, Beijing, August 2009, vol.1, pp.105-109.
  • Meng Hongying, Appiah Kofi, Hunter Andrew, Yue Shigang, Hobden Mervyn, Hobden Peter and Priestley Nigel. (2009). A modified sparse distributed memory model for extracting clean patterns from noisy inputs. IJCNN(09), International Joint Conference on Neural Networks, June 14-19, 2009 Atlanta, Georgia, USA, pp.2084-2089.
  • Meng Hongying, Yue Shigang, Hunter Andrew, Appiah Kofi, Hobden Mervyn, Priestley Nigel and Hobden Peter. (2009). A modified neural network model for lobula giant movement detector with additional depth movement feature. IJCNN(09), International Joint Conference on Neural Networks, June 14-19, 2009 Atlanta, Georgia, USA, pp.2078-2083.
  • Appiah Kofi, Hunter Andrew, Meng Hongying, Yue Shigang, Hobden Mervyn, Priestley Nigel and Hobden Peter. (2009). A binary self-organizing map and its FPGA Implementation. IJCNN(09), International Joint Conference on Neural Networks, June 14-19, 2009 Atlanta, Georgia, USA, pp.164-171.
  • Shaker Marwan, Yue Shigang and Duckett Tom. (2009). Vision-based reinforcement learning using approximate policy iteration. 14th International Conference on Advanced Robotics (ICAR), June 22th to 26th, 2009, Munich, Germany
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  • Yue Shigang and Rind F. Claire. (2005). A Collision detection system for a mobile robot inspired by locust visual system. Proceeding of IEEE International Conference on Robotics and Automation 2005 (ICRA’05), Spain, Barcelona, Apr. 18-21, pp.3843-3848.
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  • Yue Shigang and Henrich Dominik. (2002). Manipulating deformable linear objects: sensor-based fast manipulation of vibrating objects. Proceeding of IEEE International Conference on Robotics and Automation (ICRA’02), 2002, Washington, USA, pp.2467-2472.
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  • Yue Shigang and Henrich Dominik. (2001). Manipulating deformable linear objects: force/torque sensor-based adjustment-motion for vibration elimination. Proceeding of IEEE The 10th International Conference on Advanced Robotics (ICAR2001), Budapest, Hungary, 22-25, August 2001, pp.497-502.
  • Yue Shigang and Henrich Dominik. (2001). Manipulating deformable linear objects: model-based adjustment motion for vibration reduction. Proceeding of IEEE The 10th International Conference on Advanced Robotics (ICAR2001), Budapest, Hungary, 22-25, August 2001, pp503-508.
  • Yue Shigang, Henrich Dominik, Xu W.L. and Tso S.K. (2001). Trajectory planning in joint space for flexible robots with kinematics redundancy. Proceeding of IASTED International Conference on Modeling, Identification and Control, Innsbruck, Austria, Feb.19-22, 2001, pp.657-662.
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  • Yue Shigang and Xu W.L. (1999). Optimal trajectory for redundant flexible robot manipulators with maximum payload. Workshop of Manipulation for Intelligent Automation, August, 1999, CIDAM, Hong Kong, pp.82-87.
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  • Yue Shigang. (1998). Optimal configurations for flexible redundant robot manipulators. ASME, Mechanism Biannual Conference, DETC98/MECH-5886, 1998
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  • Yue Shigang. (1997). On residual vibration control of a time-varying redundant open-chain linkage with joint and link flexibility. ASME, Conference on Vibration and Noise, DETC97/VIB-4016, 1997
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  • Yue Shigang, Yu Yueqing and Bai Shixian. (1995). Dynamic coupling effect of a robot's fexible links and joints. Fourth Applied Mechanism and Robotics Conference, Dec. 1995, Cincinnati, USA.
  • Yue Shigang, Yu Yueqing and Bai Shixian. (1995). Influence of multiple flexible joints on the residual vibration of flexible manipulators. Proceeding of Conference on Vibration and Strength of Structure, pp.69-73, August 1995, Xi'an China
  • Yue Shigang, Yu Yueqing and Bai Shixian. (1995). A superposition model for design of flexible robots with elastic joints. Proceeding of 18th International Conference on Computers and Industrial Engineering, (ICC&IE'95), Oct. 1995, Shanghai, China, Vol.2, pp.856-859.
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  • Yue Shigang. (1994). Analysis of the role of pure elastic shaking force in the optimal results of flexible linkages. Special Edition of Machine Design and Research also published in 9th China Mechanism Conf., April 1994, Nanjing, China, pp.299-302.
  • Yue Shigang and Bai Shixian. (1994). Research on the influence of prescribed input speed on vibration and balance of flexible linkages. Special Edition of Machine Design and Research also published in 9th China Mechanism Conf., April 1994, Nanjing, China, pp.303-306.

Book Chapter

  • Arvin Farshad, Attar Abdolrahman, Turgut Ali Emre and Yue Shigang. (2015). Power-law distribution of long-term experimental data in swarm robotics. In Advances in Swarm and Computational Intelligence. pp.551-559.
  • Jayne C, Yue S, Lliadis L.S. (2012). Engineering Applications of Neural Networks: 13th International Conference, EANN 2012, London, UK, September 20-23, 2012, Springer, 2013.04.09
  • Lead editor for Journal Special Issue on Natural Computation and Knowledge Discovery, Journal of Computer and Mathematics with Applications, published by Elsevier, Guest Editors: Shigang Yue, Hua-Liang Wei, Maozhen Li, Qilian Liang, and Lipo Wang, online from July, 2011
  • Yue Shigang, et. al. ICNC-FSKD 2010 Special issue on computers and mathematics in natural computation and knowledge discovery, Journal of Computers and Mathematics with Applications, PII: S0898-1221(11)00529-3, DOI: 10.1016/j.camwa.2011.06.049.
  • Yue Shigang, Rind F. Claire. (2007). Pattern recognition inspired from nature: biological neural networks for collision prediction, book chapter on ‘Pattern recognition in biology’ (Frank Columbus), New York: Nova Science Publishers, 2007

Talks

  • 2020.12.19, keynote, ICNC-FSKD 2020, (Zoom)
  • 2020.04.03, Plymouth University, (Zoom)
  • 2019.11.27, keynote, Int. Conf. Crossmodal Learning in Human and Robots, Hamburg, Germany
  • 2019.02.14, keynote, International VDI Conference on Automotive Sensory Systems, Munich, Germany
  • 2018.09.01, keynote, ICAMechS 2018, Zhengzhou, China.
  • 2018.07.15, keynote, HCI2018, Shanghai, China
  • 2016.11.26, NWPU, Xian, China
  • 2016.10.16, keynote, HCR2016, Shanghai, Enabling robot for independent care and health monitoring
  • 2016.06.07, NCNU, Yinchuan, on bio-inspired research in CIL
  • 2016.05.06, CAS-IA, Beijing, China, on brain like computation
  • 2016.03.31, Xi’an Technological University, on visual neural systems modelling
  • 2016.03.18, University of Edinburgh, Institute of Informatics, motion sensitive neurons and swarm robots
  • 2015.12.03, University of Birmingham, from bioinspired neural systems to bio-robotics
  • 2014.08.22 XJTU, Attention model – build upon motion sensitive neuron
  • 2013.05.20 CASI-IA, Bio-inspired vision for collision detection – simple or complex?
  • 2013.03.21 XJTU, Redundant vision systems – competition for collision recognition roles
  • 2013.03.05 Guizhou University, Research on motion perception
  • 2012.07.24 HUST Inspiration from biology – vision systems for collision detection
  • 2012.06.27 GZU, Biological inspiration research in Lincoln
  • 2012.05.09 Technical University of Munich (TMU), Bio-inpired robotic vision for collision detection
  • 2012.05.10 KIT, Germany, @TMCE 2012 Symposium, Bio-inspired robotics and applications
  • 2012.01.18 Coventry University, Bio-inspired vision systems for collision detection
  • 2011.09.08 2011 UAS Symposium, Defense Capability Centre, Shrivenham, UK, Allinson Nigel, Yue Shigang, and Tim Beard, Vignette 3 – Industrial Accident,
  • 2011.06.15 University of Warwick, UK, Autonomous Systems and Robotics Annual Conference, eKTN, LGMD/DCMD and insect inspired robotic vision
  • 2009.08.13 XJTU, Bio-inspired visual neural networks- mechanisms and applications
  • 2007.12.20 e2v, Brains project meeting, LGMD – a nature selected depth movement detector.
  • 2006.04.28 Department of Computing and Informatics, University of Lincoln, UK, Seeing in a biological way - collision prediction using bio-inspired vision
  • 2005.06.29 School of Computing and Technology, University of Sunderland, A bio-inspired visual information processing system: can it work in complex dynamic scenes
  • 2005.05. Newcastle upon Tyne, UK, International Workshop in Neural Networks, Yue Shigang and Rind F. Claire, Coping with dynamic scenes: evolutionary tuning of an asymmetric inhibition based neural network for collision detection.

Video Presentations

  • Yue Shigang, Santer Roger, Yamawaki Yoshifumi and Rind F. Claire. (2007). Robotic locust: who is my friend? 90 seconds movie demonstrating recognition and interactive abilities of a robot with only visual sensor and neural networks to see and process images, AISB07, 2007. [movie] (wmv, 11MB, 90s)

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