Journal Articles

Wang, J, Hua, R, Jiang, X, Song, K, Meng, Q, Saada, M (2024) Selective feature block and joint IoU loss for object detection, Transactions of the Institute of Measurement and Control, ISSN: 0142-3312. DOI: 10.1177/01423312241261087.

Wang, J, He, W, Zhang, H, Xie, X, Wang, Y, Meng, Q (2024) Novel dynamic event-triggered consensus control of multiagent systems with Markovian switching topologies under DoS attacks, IEEE Transactions on Cybernetics, pp.1-13, ISSN: 2168-2267. DOI: 10.1109/tcyb.2024.3413167.

Jiang, L, Schaefer, G, Meng, Q (2024) Multi-scale feature fusion for single image novel view synthesis, Neurocomputing, 599, 128081, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2024.128081.

Tong, L, Song, K, Tian, H, Man, Y, Yan, Y, Meng, Q (2024) A Novel RGB-D Cross-Background Robot Grasp Detection Dataset and Background-Adaptive Grasping Network, IEEE Transactions on Instrumentation and Measurement, 73, 9511615, ISSN: 0018-9456. DOI: 10.1109/TIM.2024.3413164.

Wang, J, Gui, Z, Sun, J, Xie, X, Meng, Q (2024) Distributed fault-tolerant control of nonlinear multiagent systems with generally uncertain semi-Markovian switching topologies, IEEE Transactions on Automation Science and Engineering, ISSN: 1545-5955. DOI: 10.1109/TASE.2024.3408294.

Song, K, Xue, X, Wen, H, Ji, Y, Yan, Y, Meng, Q (2024) Misaligned visible-thermal object detection: A drone-based benchmark and baseline, IEEE Transactions on Intelligent Vehicles, ISSN: 2379-8858. DOI: 10.1109/TIV.2024.3398429.

Wang, J, Zhang, H, Wang, Z, Fu, J, Wang, W, Meng, Q (2024) Event-triggered leader-following consensus control of nonlinear multiagent systems with generally uncertain Markovian switching topologies, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(8), pp.4942-4954, ISSN: 2168-2216. DOI: 10.1109/TSMC.2024.3389689.

Wang, J, Jiang, X, Liu, H, Cai, H, Meng, Q (2024) An adaptive Bagging algorithm based on lightweight transformer for multi-class imbalance recognition, Multimedia Systems, 30(2), 99, ISSN: 0942-4962. DOI: 10.1007/s00530-024-01299-8.

Huo, J, Cai, H, Meng, Q (2024) Independent dual graph attention convolutional network for skeleton-based action recognition, Neurocomputing, 583, 127496, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2024.127496.

Wei, X, Song, K, Yang, W, Yan, Y, Meng, Q (2023) A visible-infrared clothes-changing dataset for person re-identification in natural scene, Neurocomputing, 569, 127110, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2023.127110.

Tong, L, Song, K, Tian, H, Man, Y, Yan, Y, Meng, Q (2023) SG-Grasp: semantic segmentation guided robotic grasp oriented to weakly textured objects based on visual perception sensors, IEEE Sensors Journal, 23(22), pp.28430-28441, ISSN: 1530-437X. DOI: 10.1109/JSEN.2023.3321742.

Song, K, Wen, H, Ji, Y, Xue, X, Huang, L, Yan, Y, Meng, Q (2023) SIA: RGB-T salient object detection network with salient-illumination awareness, Optics and Lasers in Engineering, 172, 107842, ISSN: 0143-8166. DOI: 10.1016/j.optlaseng.2023.107842.

Wang, J, Zhang, W, Fu, J, Song, K, Meng, Q, Zhu, L, Jin, Y (2023) LDCNet: a lightweight multi-scale convolutional neural network using local dense connectivity for image recognition, IEEE Transactions on Cognitive and Developmental Systems, ISSN: 2379-8920. DOI: 10.1109/tcds.2023.3311171.

Xu, X, Zhong, T, Zhou, F, Li, R, Trajcevski, G, Meng, Q (2023) Learning spatiotemporal manifold representation for probabilistic land deformation prediction, IEEE Transactions on Cybernetics, 54(1), pp.572-585, ISSN: 2168-2267. DOI: 10.1109/TCYB.2023.3291049.

Xiao, S, Lan, G, Yang, J, Lu, W, Meng, Q, Gao, X (2023) MCS-GAN: A Different Understanding for Generalization of Deep Forgery Detection, IEEE Transactions on Multimedia, 26, pp.1333-1345, ISSN: 1520-9210. DOI: 10.1109/TMM.2023.3279993.

Song, K, Zhao, Y, Huang, L, Yan, Y, Meng, Q (2023) RGB-T image analysis technology and application: A survey, Engineering Applications of Artificial Intelligence, 120, ISSN: 0952-1976. DOI: 10.1016/j.engappai.2023.105919.

Jiang, X, Wang, J, Meng, Q, Saada, M, Cai, H (2023) An adaptive multi-class imbalanced classification framework based on ensemble methods and deep network, Neural Computing and Applications, 35(15), pp.11141-11159, ISSN: 0941-0643. DOI: 10.1007/s00521-023-08290-w.

Wei, J, Yao, L, Meng, Q (2023) Self-adaptive logit balancing for deep neural network robustness: Defence and detection of adversarial attacks, Neurocomputing, 531, pp.180-194, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2023.02.013.

Saada, M, Kouppas, C, Li, B, Meng, Q (2022) A multi-object tracker using dynamic Bayesian networks and a residual neural network based similarity estimator, Computer Vision and Image Understanding, 225, 103569, ISSN: 1077-3142. DOI: 10.1016/j.cviu.2022.103569.

Zhou, Y, Li, B, Wang, J, Rocco, E, Meng, Q (2022) Discovering Unknowns: Context-enhanced Anomaly Detection for Curiosity-driven Autonomous Underwater Exploration, Pattern Recognition, pp.108860-108860, ISSN: 0031-3203. DOI: 10.1016/j.patcog.2022.108860.

Wang, W, Jiang, L, Lin, S, Fang, H, Meng, Q (2022) Imitation learning based decision-making for autonomous vehicle control at traffic roundabouts, Multimedia Tools and Applications, 81(28), pp.39873-39889, ISSN: 1380-7501. DOI: 10.1007/s11042-022-12300-9.

Jiang, L, Cai, H, Schaefer, G, Meng, Q (2022) A neural refinement network for single image view synthesis, Neurocomputing, 496, pp.35-45, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2022.04.123.

Wang, J, Jiang, X, Meng, Q, Saada, M, Cai, H (2022) Walking motion real-time detection method based on walking stick, IoT, COPOD and improved LightGBM, Applied Intelligence, 52(14), pp.16398-16416, ISSN: 0924-669X. DOI: 10.1007/s10489-022-03264-2.

Storey, G, Meng, Q, Li, B (2022) Leaf Disease Segmentation and Detection in Apple Orchards for Precise Smart Spraying in Sustainable Agriculture, Sustainability, 14(3), pp.1458-1458, DOI: 10.3390/su14031458.

Wang, J, Zhang, H, Fu, J, Liang, H, Meng, Q (2022) Dissipativity-based consensus tracking control of nonlinear multiagent systems with generally uncertain Markovian switching topologies and event-triggered strategy, IEEE Transactions on Cybernetics, 53(8), pp.4763-4778, ISSN: 2168-2267. DOI: 10.1109/TCYB.2022.3141599.

Gu, Y, Li, B, Meng, Q (2022) Hybrid interpretable predictive machine learning model for air pollution prediction, Neurocomputing, 468, pp.123-136, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2021.09.051.

Wang, J, Ji, Z, Zhang, H, Wang, Z, Meng, Q (2021) Synchronization of Generally Uncertain Markovian Inertial Neural Networks With Random Connection Weight Strengths and Image Encryption Application, IEEE Transactions on Neural Networks and Learning Systems, pp.1-15, ISSN: 2162-237X. DOI: 10.1109/tnnls.2021.3131512.

He, H, Gray, J, Cangelosi, A, Meng, Q, McGinnity, TM, Mehnen, J (2021) The Challenges and Opportunities of Human-Centred AI for Trustworthy Robots and Autonomous Systems, IEEE Transactions on Cognitive and Developmental Systems, pp.1-1, ISSN: 2379-8920. DOI: 10.1109/tcds.2021.3132282.

Kouppas, C, Saada, M, Meng, Q, King, M, Majoe, D (2021) Hybrid autonomous controller for bipedal robot balance with deep reinforcement learning and pattern generators, Robotics and Autonomous Systems, 146, 103891, ISSN: 0921-8890. DOI: 10.1016/j.robot.2021.103891.

Ma, W, Wang, R, Gu, Y, Meng, Q, Huang, H, Deng, S, Wu, Y (2021) Multi-objective microservice deployment optimization via a knowledge-driven evolutionary algorithm, Complex and Intelligent Systems, 7(3), pp.1153-1171, ISSN: 2199-4536. DOI: 10.1007/s40747-020-00180-1.

Wang, J, Meng, Q, Shang, P, Saada, M (2021) Road surface real-time detection based on Raspberry Pi and recurrent neural networks, Transactions of the Institute of Measurement and Control, pp.014233122110033-014233122110033, ISSN: 0142-3312. DOI: 10.1177/01423312211003372.

Liu, J, Song, K, He, Y, Dong, H, Yan, Y, Meng, Q (2021) Learning object-centric complementary features for zero-shot learning, Signal Processing: Image Communication, 89, ISSN: 0923-5965. DOI: 10.1016/j.image.2020.115974.

Song, H, Yang, J, Meng, Q (2020) Guest editorial: Visual perception enabled industry intelligence, IEEE Transactions on Industrial Informatics, 17(3), pp.2201-2203, ISSN: 1551-3203. DOI: 10.1109/tii.2020.3022635.

Yang, J, Wang, C, Jiang, B, Song, H, Meng, Q (Accepted for publication) Visual Perception Enabled Industry Intelligence: State of the Art, Challenges and Prospects, IEEE Transactions on Industrial Informatics, pp.1-1, ISSN: 1551-3203. DOI: 10.1109/tii.2020.2998818.

Yang, J, Zhao, Y, Liu, J, Jiang, B, Meng, Q, Lu, W, Gao, X (2020) No reference quality assessment for screen content images using stacked autoencoders in pictorial and textual regions, IEEE Transactions on Cybernetics, 52(5), pp.2798-2810, ISSN: 2168-2267. DOI: 10.1109/TCYB.2020.3024627.

Yang, J, Zhao, Y, Jiang, B, Meng, Q, Lu, W, Gao, X (2020) No-reference quality assessment of stereoscopic videos with inter-frame cross on a content-rich database, IEEE Transactions on Circuits and Systems for Video Technology, 30(10), pp.3608-3623, ISSN: 1051-8215. DOI: 10.1109/TCSVT.2019.2948383.

Martinez-Garcia, M, Kalawsky, R, Gordon, T, Smith, T, Meng, Q, Flemisch, F (2020) Communication and interaction with semiautonomous ground vehicles by force control steering, IEEE Transactions on Cybernetics, 51(8), pp.3913-3924, ISSN: 2168-2267. DOI: 10.1109/tcyb.2020.3020217.

Cai, H, Jiang, L, Liu, B, Deng, Y, Meng, Q (Accepted for publication) Assembling Convolution Neural Networks for Automatic Viewing Transformation, IEEE Transactions on Industrial Informatics, pp.1-1, ISSN: 1551-3203. DOI: 10.1109/tii.2019.2940136.

Yang, J, Man, J, Xi, M, Gao, X, Lu, W, Meng, Q (Accepted for publication) Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship, IEEE Transactions on Neural Networks and Learning Systems, pp.1-12, ISSN: 2162-237X. DOI: 10.1109/tnnls.2019.2927719.

Yang, J, Meng, Q, Murroni, M, Wang, S, Shao, F (2020) IEEE Access Special Section Editorial: Biologically Inspired Image Processing Challenges and Future Directions, IEEE Access, 8, pp.147459-147462, DOI: 10.1109/ACCESS.2020.3015372.

Niu, M, Song, K, Huang, L, wang, Q, Yan, Y, Meng, Q (2020) Unsupervised Saliency Detection of Rail Surface Defects using Stereoscopic Images, IEEE Transactions on Industrial Informatics, pp.1-1, ISSN: 1551-3203. DOI: 10.1109/tii.2020.3004397.

Xu, J, Song, K, Zhang, D, Dong, H, Yan, Y, Meng, Q (2020) Informed Anytime Fast Marching Tree for Asymptotically-Optimal Motion Planning, IEEE Transactions on Industrial Electronics, pp.1-1, ISSN: 0278-0046. DOI: 10.1109/tie.2020.2992978.

Yang, J, Liu, T, Jiang, B, Lu, W, Meng, Q (2020) Panoramic Video Quality Assessment Based on Non-Local Spherical CNN, IEEE Transactions on Multimedia, 23, pp.797-809, ISSN: 1520-9210. DOI: 10.1109/TMM.2020.2990075.

Yang, J, Xi, M, Jiang, B, Man, J, Meng, Q, Li, B (Accepted for publication) FADN: Fully connected attitude detection network based on industrial video, IEEE Transactions on Industrial Informatics, pp.1-1, ISSN: 1551-3203. DOI: 10.1109/tii.2020.2984370.

He, Y, Song, K, Meng, Q, Yan, Y (2020) An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features, IEEE Transactions on Instrumentation and Measurement, 69(4), pp.1493-1504, ISSN: 0018-9456. DOI: 10.1109/TIM.2019.2915404.

Dong, H, Song, K, He, Y, Xu, J, Yan, Y, Meng, Q (2019) PGA-Net: Pyramid Feature Fusion and Global Context Attention Network for Automated Surface Defect Detection, IEEE Transactions on Industrial Informatics, pp.1-1, ISSN: 1551-3203. DOI: 10.1109/tii.2019.2958826.

Yang, J, Zhao, Y, Zhu, Y, Xu, H, Lu, W, Meng, Q (2019) Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network, Information Sciences, 474, pp.1-17, ISSN: 0020-0255. DOI: 10.1016/j.ins.2018.08.066.

Yang, J, Sim, K, Gao, X, Lu, W, Meng, Q, Li, B (2018) A blind stereoscopic image quality evaluator with segmented stacked autoencoders considering the whole visual perception route, IEEE Transactions on Image Processing, 28(3), pp.1314-1328, ISSN: 1057-7149. DOI: 10.1109/TIP.2018.2878283.

Geng, N, Meng, Q, Gong, D, Chung, PWH (2018) How Good Are Distributed Allocation Algorithms for Solving Urban Search and Rescue Problems? A Comparative Study With Centralized Algorithms, IEEE Transactions on Automation Science and Engineering, ISSN: 1545-5955. DOI: 10.1109/TASE.2018.2866395.

Jiang, B, Yang, J, Meng, Q, Li, B, Lu, W (2018) A deep evaluator for image retargeting quality by geometrical and contextual interaction, IEEE Transactions on Cybernetics, 50(1), pp.87-99, ISSN: 2168-2267. DOI: 10.1109/TCYB.2018.2864158.

Kouppas, C, Meng, Q, King, M, Majoe, D (2018) S.A.R.A.H.: The bipedal robot with machine learning step decision making, International Journal of Mechanical Engineering and Robotics Research, 7(4), pp.379-384, DOI: 10.18178/ijmerr.7.4.379-384.

Yang, J, Ji, C, Jiang, B, Lu, W, Meng, Q (2018) No Reference Quality Assessment of Stereo Video Based on Saliency and Sparsity, IEEE Transactions on Broadcasting, 64(2), pp.341-353, ISSN: 0018-9316. DOI: 10.1109/TBC.2018.2789583.

Whitbrook, A, Meng, Q, Chung, P (2018) Addressing robustness in time-critical, distributed, task allocation algorithms, Applied Intelligence, pp.1-15, ISSN: 0924-669X. DOI: 10.1007/s10489-018-1169-3.

Yang, J, Zhu, Y, Ma, C, Lu, W, Meng, Q (2018) Stereoscopic video quality assessment based on 3D convolutional neural networks, Neurocomputing, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2018.04.072.

Turner, J, Meng, Q, Schaefer, G, Whitbrook, A, Soltoggio, A (2017) Distributed task rescheduling with time constraints for the optimization of total task allocations in a multirobot system, IEEE Transactions on Cybernetics, 48(9), pp.2583-2597, ISSN: 2168-2267. DOI: 10.1109/TCYB.2017.2743164.

Yang, J, Wang, H, Lu, W, Li, B, Badii, A, Meng, Q (2017) A no-reference optical flow-based quality evaluator for stereoscopic videos in curvelet domain, Information Sciences, 414, pp.133-146, ISSN: 0020-0255. DOI: 10.1016/j.ins.2017.05.051.

Whitbrook, A, Meng, Q, Chung, P (2017) Reliable, distributed scheduling and rescheduling for time-critical, multi-agent systems, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 15(2), pp.732-747, ISSN: 1545-5955. DOI: 10.1109/TASE.2017.2679278.

Lin, Y, Yang, J, Lu, W, Meng, Q, Lv, Z, Song, H (2017) Quality Index for Stereoscopic Images by Jointly Evaluating Cyclopean Amplitude and Cyclopean Phase, IEEE Journal on Selected Topics in Signal Processing, 11(1), pp.89-101, ISSN: 1932-4553. DOI: 10.1109/JSTSP.2016.2632422.

Wu, J, Meng, Q, Deng, S, Huang, H, Wu, Y, Badii, A (2017) Generic, network schema agnostic sparse tensor factorization for single-pass clustering of heterogeneous information networks, PLOS ONE, ISSN: 1932-6203. DOI: 10.1371/journal.pone.0172323.

Jiang, B, Yang, J, Lv, Z, Tian, K, Meng, Q, Yan, Y (2017) Internet cross-media retrieval based on deep learning, Journal of Visual Communication and Image Representation, ISSN: 1095-9076. DOI: 10.1016/j.jvcir.2017.02.011.

Yang, J, Jiang, B, Wang, Y, Lu, W, Meng, Q (2017) Sparse representation based stereoscopic image quality assessment accounting for perceptual cognitive process, Information Sciences, 430-431, pp.1-16, ISSN: 0020-0255. DOI: 10.1016/j.ins.2017.10.053.

Jiang, B, Yang, J, Jiang, N, Lv, Z, Meng, Q (2016) Quality assessment for virtual reality technology based on real scene, Neural Computing and Applications, pp.1-10, ISSN: 0941-0643. DOI: 10.1007/s00521-016-2828-0.

Yang, J, Wang, Y, Li, B, Lu, W, Meng, Q, Lv, Z, Zhao, D, Gao, Z (2016) Quality assessment metric of stereo images considering cyclopean integration and visual saliency, Information Sciences, 373, pp.251-268, ISSN: 0020-0255. DOI: 10.1016/j.ins.2016.09.004.

Wang, H, Yang, J, Lu, W, Li, B, Tian, K, Meng, Q (2016) No-reference stereoscopic image-quality metric accounting for left and right similarity map and spatial structure degradation, Optics Letters, 41(24), pp.5640-5643, ISSN: 0146-9592. DOI: 10.1364/OL.41.005640.

Yang, J, Liu, Y, Wei, W, Meng, Q, Gao, Z, Lin, Y (2016) A new research on contrast sensitivity function in 3D space, Multimedia Tools and Applications, pp.1-16, ISSN: 1380-7501. DOI: 10.1007/s11042-016-3541-9.

Liu, J, Yang, J, Meng, Q, Lv, Z, Song, Z, Gao, Z (2016) Stereoscopic Image Quality Assessment Method based on Binocular Combination Saliency Model, Signal Processing, 125, pp.237-248, ISSN: 1872-7557. DOI: 10.1016/j.sigpro.2016.01.019.

Chen, X and Meng, Q (2016) Self-Learning Vehicle Detection and Tracking from UAVs, International Journal of Mechanical Engineering and Robotics Research, ISSN: 2278-0149. DOI: 10.18178/ijmerr.5.2.149-155.

Zhao, W, Meng, Q, Chung, PWH (2015) A heuristic distributed task allocation method for multi-vehicle multi-task problems and its application to search and rescue scenario, IEEE Transactions of Cybernetics, 46(4), pp.902-915, DOI: 10.1109/TCYB.2015.2418052.

Wen, S, Zeng, Z, Huang, T, Meng, Q, Yao, W (2015) Lag synchronization of switched neural networks via neural activation function and applications in image encryption, IEEE Transactions on Neural Networks and Learning Systems, 26(7), pp.1493-1502, ISSN: 2162-237X. DOI: 10.1109/TNNLS.2014.2387355.

Yang, J, Liu, Y, Meng, Q, Chu, R (2015) Objective evaluation criteria for stereo camera shooting quality under different shooting parameters and shooting distances, IEEE Sensors Journal, ISSN: 1558-1748. DOI: 10.1109/JSEN.2015.2421518.

Huang, T, Meng, Q, Yang, Z, Li, C, Huang, H, Du, J, Zhang, W (2015) Theory and Applications of Complex Networks 2014, Mathematical Problems in Engineering, 2015, pp.1-2, ISSN: 1024-123X. DOI: 10.1155/2015/924967.

Meng, Q, Tholley, I, Chung, PWH (2014) Robots learn to dance through interaction with humans, Neural Computing and Applications, 24(1), pp.117-124, ISSN: 0941-0643. DOI: 10.1007/s00521-013-1504-x.

De Dios, PF, Chung, PWH, Meng, Q (2014) Landmark-based methods for temporal alignment of human motions, IEEE Computational Intelligence Magazine, 9(2), pp.29-37, ISSN: 1556-603X. DOI: 10.1109/MCI.2014.2307223.

Saada, M, Meng, Q, Huang, T (2014) A novel approach for pilot error detection using Dynamic Bayesian Networks, Cognitive Neurodynamics, 8(3), pp.227-238, ISSN: 1871-4080. DOI: 10.1007/s11571-013-9278-5.

Hunt, S, Meng, Q, Hinde, CJ, Huang, T (2014) A consensus-based grouping algorithm for multi-agent cooperative task allocation with complex requirements, Cognitive Computation, 6(3), pp.338-350, ISSN: 1866-9956. DOI: 10.1007/s12559-014-9265-0.

Chao, F, Wang, Z, Shang, C, Meng, Q, Jiang, M, Zhou, C, Shen, Q (2014) A developmental approach to robotic pointing via human-robot interaction, Information Sciences, 283, pp.288-303, ISSN: 0020-0255. DOI: 10.1016/j.ins.2014.03.104.

Du, G, He, H, Meng, Q (2014) Energy-Efficient Scheduling for Tasks with Deadline in Virtualized Environments, Mathematical Problems in Engineering, 2014, pp.1-7, ISSN: 1024-123X. DOI: 10.1155/2014/496843.

Yang, J, Xu, L, Meng, Q, He, S (2014) Dynamic Symmetric Key Mobile Commerce Scheme Based on Self-Verified Mechanism, Mathematical Problems in Engineering, 2014, pp.1-8, ISSN: 1024-123X. DOI: 10.1155/2014/103136.

Saada, M, Meng, Q, Huang, T (2014) A novel approach for pilot error detection using Dynamic Bayesian Networks, Cognitive Neurodynamics, pp.1-12, ISSN: 1871-4080. DOI: 10.1007/s11571-013-9278-5.

Chao, F, Wang, Z, Jiang, M, Zhou, C, Shang, C, Shen, Q, Meng, Q (2014) A developmental approach to robotic pointing via human-robot interaction, Information Sciences, ISSN: 0020-0255. DOI: 10.1016/j.ins.2014.03.104.

Purushwalkam, S, Li, B, Meng, Q, McPhee, J (2013) Automatic segmentation of adipose tissue from thigh magnetic resonance images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7950 LNCS, pp.451-458, ISSN: 0302-9743. DOI: 10.1007/978-3-642-39094-4_51.

Meng, Q, Li, B, Holstein, H, Liu, Y (2013) Parameterization of point-cloud freeform surfaces using adaptive sequential learning RBF networks, Pattern Recognition, 46(8), pp.2361-2375, DOI: 10.1016/j.patcog.2013.01.017.

Meng, Q, Tholley, I, Chung, PWH (2013) Robots learn to dance through interaction with humans, Neural Computing and Applications, pp.1-8, ISSN: 0941-0643. DOI: 10.1007/s00521-013-1504-x.

Meng, Q, Tholley, I, Chung, PWH (2012) Robot dancing: Adapting robot dance to human preferences, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7667 LNCS(PART 5), pp.557-565, ISSN: 0302-9743. DOI: 10.1007/978-3-642-34500-5_66.

Hunt, S, Meng, Q, Hinde, CJ (2012) An extension of the consensus-based bundle algorithm for group dependant tasks with equipment dependencies, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7666 LNCS(PART 4), pp.518-527, ISSN: 0302-9743. DOI: 10.1007/978-3-642-34478-7_63.

RAZALI, S, Meng, Q, Yang, S (2012) IMMUNE-INSPIRED COOPERATIVE MECHANISM WITH REFINED LOW-LEVEL BEHAVIORS FOR MULTI-ROBOT SHEPHERDING, International Journal of Computational Intelligence and Applications, 11(1), 1250007-1, ISSN: 1469-0268. DOI: 10.1142/S1469026812500071.

Tholley, IS, Meng, Q, Chung, PWH (2012) Robot dancing: What makes a dance?, Advanced Materials Research, 403-408, pp.4901-4909, ISSN: 1022-6680. DOI: 10.4028/www.scientific.net/AMR.403-408.4901.

Azman, A, Meng, Q, Edirisinghe, EA, Azman, H (2011) Non-Intrusive Physiological Measurement for Driver Cognitive Distraction Detection Eye and Mouth Movements, International Journal of Advanced Computer Science (IJACSci), ISSN: 2251-6379.

Zhang, M and Meng, Q (2011) Automatic citrus canker detection from leaf images captured in field, Pattern Recognition Letters, 32(15), pp.2036-2046, DOI: 10.1016/j.patrec.2011.08.003.

Meng, Q, Lee, MH, Hinde, CJ (2010) Robot competence development by constructive learning, Lecture Notes in Electrical Engineering, 48 LNEE, pp.15-26, ISSN: 1876-1100. DOI: 10.1007/978-90-481-3177-8_2.

Liu, L, Yang, S, Wang, Y, Meng, Q (2009) Home Service Robotics, The Journal of the Institute of Measurement and Control, 42(1), pp.12-17, ISSN: 0020-2940.

Razali, S, Meng, Q, Yang, S (2009) Multi-robot cooperation inspired by immune systems, AISB Quarterly, 128, pp.3-5.

Meng, Q and Lee, MH (2008) Error-Driven Active Learning in Growing Radial Basis Function Networks for Early Robot Learning, Neuromcomputing, 71(7-9), pp.1449-1461, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2007.05.012.

Li, B, Meng, Q, Horst, H (2008) Articulated Motion Reconstruction from Feature Points, Pattern Recognition, 41(1), pp.418-431, ISSN: 0031-3203. DOI: 10.1016/j.patcog.2007.06.002.

Lee, MH, Meng, Q, Chao, F (2007) Staged Competence Learning in Developmental Robotics, Adaptive Behavior, 15(3), pp.241-255, ISSN: 1059-7123. DOI: 10.1177/1059712307082085.

Meng, Q and Lee, MH (2007) Automated Cross-Modal Mapping in Robotic Eye/Hand Systems Using Plastic Radial Basis Function Networks, Connection Science, 19(1), pp.25-52, ISSN: 0954-0091. DOI: 10.1080/09540090600971302.

Lee, MH, Meng, Q, Chao, F (2007) Staged Competence Learning in Developing Robotics, Adaptive Behaviour, 15(3), pp.241-255, ISSN: 1059-7123.

Meng, Q and Lee, MH (2007) Construction of robot intra-modal and inter-modal coordination skills by developmental learning, Journal of Intelligent and Robotic Systems, 48(1), pp.97-114, ISSN: 0921-0296.

Lee, MH, Meng, Q, Chao, F (2007) Developmental Learning for Autonomous Robots, Robotics and Autonomous Systems, Robotics and Autonomous Systems, 55(9), pp.750-759, ISSN: 0921-8890.

Meng, Q, Li, B, Holstein, H (2006) Recognition of Human Periodic Movements From Unstructured Information Using A Motion-Based Frequency Domain Approach, Image and Vision Computing, 24(8), pp.795-809, ISSN: 0262-8856. DOI: 10.1016/j.imavis.2006.01.033.

Meng, Q and Lee, MH (2006) Design Issues for Assistive Robotics for the Elderly, Advanced Engineering Informatics, 20(2), pp.171-186, ISSN: 1474-0346. DOI: 10.1016/j.aei.2005.10.003.

Li, B, Meng, Q, Holstein, H (2005) Similarity K-d Tree Method for Sparse Point Pattern Matching with Underlying Non-Rigidity, Pattern Recognition, 38(12), pp.2391-2399, ISSN: 0031-3203. DOI: 10.1016/j.patcog.2005.03.004.

Lee, M and Meng, Q (2005) Psychologically Inspired Sensory-Motor Development in Early Robot Learning, International Journal of Advanced Robotics Systems, 2(4), pp.325-333, ISSN: 1729-8806.

Li, B, Meng, Q, Holstein, H (2004) Articulated Pose Identification with Sparse Point Features, IEEE Transactions on Systems, Man and Cybernetics. Part B: Cybernetics, 34(3), pp.1412-1422, ISSN: 1083-4419. DOI: 10.1109/TSMCB.2004.825914.

Li, B, Meng, Q, Holstein, H (2004) Reconstruction of Segmentally Articulated Structure in Freeform Movement with Low Density Feature Points, Image and Vision Computing, 22(10), pp.749-759, ISSN: 0262-8856.

LI, YF, Tso, SK, Meng, Q (1998) Grasping Force Measurement for Dynamic Grasp Stability Assessment, IEEE Transactions on Instrumentation and measurement, 47(5), pp.1295-1299.

Conferences

Zhang, Z, Guan, L, Li, Y, Johnson, S, Meng, Q (2024) PRVC: A novel vehicular ad-hoc network caching based on pre-trained reinforcement learning. In Barolli, L (ed) The 38th International Conference on Advanced Information Networking and Applications (AINA-2024); Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Kitakyushu, Japan,ISBN: 9783031578397. DOI: 10.1007/978-3-031-57840-3_5.

Zhang, Z, Guan, L, Meng, Q (2024) A hybrid deep reinforcement learning routing method under dynamic and complex traffic with software defined networking. In Barolli, L (ed) The 38th International Conference on Advanced Information Networking and Applications (AINA-2024); Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Kitakyushu, Japan,ISBN: 9783031579417. DOI: 10.1007/978-3-031-57942-4_19.

Davies, L, Li, B, Saada, M, Sølvsten, S, Meng, Q (2024) Occupancy grid artefact removal and error correction using GANs. In 2024 4th International Conference on Computer, Control and Robotics (ICCCR); 2024 4th International Conference on Computer, Control and Robotics (ICCCR), Shanghai, China.

Zhang, Y, Li, B, Fang, H, Meng, Q (2023) A multi-modal transformer approach for football event classification. In 2023 IEEE International Conference on Image Processing (ICIP 2023); 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, pp.2220-2224, ISBN: 9781728198354. DOI: 10.1109/ICIP49359.2023.10223172.

Gu, Y, Li, B, Meng, Q (2023) Multi-task deep neural network for air pollution prediction and spatial effect analysis. In 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2023); 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2023), Chengdu, China,ISBN: 9781665455336. DOI: 10.1109/ICCCBDA56900.2023.10154688.

MacHingal, P, Thousif, Dora, S, Sundaram, S, Meng, Q (2023) Learning to Classify Faster Using Spiking Neural Networks. In , Proceedings of the International Joint Conference on Neural Networks. DOI: 10.1109/IJCNN54540.2023.10191334.

Huo, J, Liu, B, Meng, Q (2023) A Hybrid Scheme for Efficient Deformable Image Registration. In , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp.433-441, DOI: 10.1007/978-981-99-6483-3_37.

Zhang, Y, Li, B, Fang, H, Meng, Q (2022) Spectrogram transformers for audio classification. In 2022 IEEE International Conference on Imaging Systems and Techniques (IST); 2022 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan,ISBN: 9781665481021. DOI: 10.1109/IST55454.2022.9827729.

Starkey, J, Hancock, C, Chen, L, Meng, Q (2022) DIGITAL TWINNING PROOF OF CONCEPT FOR UTILITY-SCALE SOLAR: BENEFITS, ISSUES, AND ENABLERS. In , The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp.231-237, DOI: 10.5194/isprs-archives-xlvi-5-w1-2022-231-2022.

Zhang, Y, Li, B, Fang, H, Meng, Q (2022) Current advances on deep learning-based human action recognition from videos: a survey. In 20th International Conference on Machine Learning and Applications (ICMLA); 2021 20th IEEE International Conference On Machine Learning And Applications (ICMLA), Pasadena, California, U.S.A, pp.304-311, ISBN: 9781665443371. DOI: 10.1109/ICMLA52953.2021.00054.

Wei, J, Meng, Q, Yao, L (2022) Self-Adaptive Logit Balancing for Deep Learning Robustness in Computer Vision. In , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp.548-559, DOI: 10.1007/978-3-031-06427-2_46.

Jiang, L, Schaefer, G, Meng, Q (2022) An Improved Novel View Synthesis Approach Based on Feature Fusion and Channel Attention. In , Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp.2459-2464, DOI: 10.1109/SMC53654.2022.9945244.

Huo, J, Cai, H, Meng, Q (2022) Graph Instinctive Attention Convolutional Network for Skeleton-Based Action Recognition. In , Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp.1606-1611, DOI: 10.1109/SMC53654.2022.9945596.

Wang, J, Li, B, Zhou, Y, Rocco, E, Meng, Q (2021) Compact and fast underwater segmentation network for autonomous underwater vehicles. In Ishikawa, H, Liu, C-L, Pajdla, T, Shi, J (ed) 15th Asian Conf. on Computer Vision. ACCV’20; Computer Vision – ACCV 2020: 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers, Part III, Kyoto, Japan, pp.688-703, ISBN: 9783030695347. DOI: 10.1007/978-3-030-69535-4_42.

Gu, Y, Li, B, Meng, Q, Shang, P (2021) Improved cloud-NARX estimation algorithm for uncertainty analysis of air pollution prediction. In , IET Conference Proceedings, pp.63-66, DOI: 10.1049/icp.2021.1440.

Wang, J, Li, B, Zhou, Y, Meng, Q, Rende, S, Rocco, E (2020) Real-time and embedded compact deep neural networks for seagrass monitoring. In IEEE International Conference on Systems, Man and Cybernetics (SMC 2020); 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, Canada [Virtual Conference], pp.3570-3575, ISBN: 9781728185262. DOI: 10.1109/SMC42975.2020.9283372.

He, H, Gray, J, Cangelosi, A, Meng, Q, McGinnity, TM, Mehnen, J (2020) The Challenges and Opportunities of Artificial Intelligence for Trustworthy Robots and Autonomous Systems. In IRCE 2020 - 2020 3rd International Conference on Intelligent Robotics and Control Engineering, UK, pp.68-74, ISBN: 9781728189727. DOI: 10.1109/IRCE50905.2020.9199244.

Wei, J and Meng, Q (2020) AdversarialStyle: GAN Based Style Guided Verification Framework for Deep Learning Systems. In , IEEE International Conference on Industrial Informatics (INDIN), pp.641-648, DOI: 10.1109/INDIN45582.2020.9442144.

Kouppas, C, Saada, M, Meng, Q, King, M, Majoe, D (2020) Balance Control of a Bipedal Robot Utilizing Intuitive Pattern Generators with Extended Normalized Advantage Functions. In International Joint Conference on Neural Networks (IJCNN), Proceedings of the International Joint Conference on Neural Networks, Glasgow UK,ISBN: 9781728169262. DOI: 10.1109/IJCNN48605.2020.9207029.

Wang, W, Jiang, L, Lin, S, Fang, H, Meng, Q (2020) Deep Learning-Based Decision Making for Autonomous Vehicle at Roundabout. In , pp.134-137, ISBN: 9783030634858. DOI: 10.1007/978-3-030-63486-5_16.

Wang, W, Nguyen, QA, Ma, W, Wei, J, Hing Chung, PW, Meng, Q (2019) Multi-Grid based decision making at Roundabout for Autonomous Vehicles. In 2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES), pp.1-6, DOI: 10.1109/icves.2019.8906366.

Robinson, C, Li, B, Meng, Q, Pain, M (2019) A deep adaptive framework for robust myoelectric hand movement prediction. In UK Robotics and Autonomous Systems, UK-RAS 2019, Loughborough.

Zhou, Y, Wang, J, Li, B, Meng, Q, Rocco, E, Saiani, A (2019) Underwater scene segmentation by deep neural network. In UK Robotics and Autonomous Systems, 2019, UK.

Wang, J, Zhou, Y, Li, B, Meng, Q, Rocco, E, Saiani, A (2019) Can underwater environment simulation contribute to vision tasks for autonomous systems?. In UK-RAS, 2019, uk.

Wang, W, Meng, Q, Chung, PWH (2018) Camera Based Decision Making at Roundabouts for Autonomous Vehicles. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp.1460-1465, DOI: 10.1109/icarcv.2018.8581347.

Turner, J, Meng, Q, Schaefer, G, Soltoggio, A (2018) Fast consensus for fully distributed multi-agent task allocation. In The 33rd ACM Symposium On Applied Computing, Pau, France,ISBN: 9781450351911. DOI: 10.1145/3167132.3167224.

Turner, J, Meng, Q, Schaefer, G, Soltoggio, A (2018) Distributed strategy adaptation with a prediction function in multi-agent task allocation. In 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden,ISBN: 9781450356497.

Kouppas, C, Meng, Q, King, M, Majoe, D (2018) Machine learning comparison for step decision making of a bipedal robot. In 2018 3rd International Conference on Control and Robotics Engineering, ICCRE 2018, pp.21-25, ISBN: 9781538666630. DOI: 10.1109/ICCRE.2018.8376427.

Robinson, C, Li, B, Meng, Q, Pain, M (2018) Effectiveness of surface electromyography in pattern classification for upper limb amputees. In Int. Conf. Artificial Intelligence and Pattern Recognition, Beijing,ISBN: 9781450365246.

Badii, A, Karimi, M, Meng, Q (2017) Cognitive and neuromuscular robotic rehabilitation framework. In the 16th UK Workshop on Computational Intelligence (UKCI 2016), Advances in Intelligent Systems and Computing, Lancaster, UK,ISBN: 9783319465616. DOI: 10.1007/978-3-319-46562-3_21.

Wei, J, Meng, Q, Badii, A (2017) Classification of human hand movements using surface EMG for myoelectric control. In the 16th UK Workshop on Computational Intelligence, Advances in Intelligent Systems and Computing, Lancaster, UK, pp.339-339, ISBN: 9783319465616. DOI: 10.1007/978-3-319-46562-3_22.

Whitbrook, A, Meng, Q, Chung, P (2017) A robust, distributed task allocation algorithm for time-critical, multi agent systems operating in uncertain environments. In The 30th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, France,ISBN: 9783319600444. DOI: 10.1007/978-3-319-60045-1_8.

Robinson, C, Li, B, Meng, Q, Pain, M (2017) Pattern classification of hand movements using time domain features of electromyography. In 4th International Conference on Movement Computing, London,ISBN: 9781450352093. DOI: 10.1145/3077981.3078031.

Al-Kaff, A, Meng, Q, Martin, D, De La Escalera, A, Armingol, JM (2016) Monocular vision-based obstacle detection/avoidance for unmanned aerial vehicles. In 2016 IEEE Intelligent Vehicles Symposium (IV), IEEE Intelligent Vehicles Symposium, Proceedings, Sweden, pp.92-97, ISBN: 9781509018215. DOI: 10.1109/IVS.2016.7535370.

Chen, X and Meng, Q (2015) Robust vehicle tracking and detection from UAVs. In 7th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015), Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Japan, pp.241-246, ISBN: 9781467393607. DOI: 10.1109/SOCPAR.2015.7492814.

de Dios, PF, Chung, PWH, Meng, Q (2015) Semi-automatic, Landmark-Based Feedback Generation for Stand-Up Exercises. In , pp.285-294, ISBN: 9783319131528. DOI: 10.1007/978-3-319-13153-5_28.

Turner, J, Meng, Q, Schaefer, G (2015) Increasing allocated tasks with a time minimization algorithm for a search and rescue scenario. In IEEE Int. on Robotics and Automation (ICRA), SeattleUSA. DOI: 10.1109/ICRA.2015.7139669.

Whitbrook, A, Meng, Q, Chung, P (2015) A novel distributed scheduling algorithm for time-critical multi-agent systems. In IROS 2015, Hamburg, Germany. DOI: 10.1109/IROS.2015.7354299.

Yang, J, Liu, Y, Wei, W, Meng, Q, Gao, Z, Lin, Y (2015) A New Research on Contrast Sensitivity Function Based on Three-Dimensional Space. In , pp.417-428, ISBN: 9783662485699. DOI: 10.1007/978-3-662-48570-5_40.

Chao, F, Sun, Y, Wang, Z, Yao, G, Zhu, Z, Zhou, C, Meng, Q, Jiang, M (2014) A reduced classifier ensemble approach to human gesture classification for robotic Chinese handwriting. In , IEEE International Conference on Fuzzy Systems, pp.1720-1727, DOI: 10.1109/FUZZ-IEEE.2014.6891656.

Azman, A, Ibrahim, SZ, Meng, Q, Edirisinghe, EA (2014) Physiological measurement used in real time experiment to detect driver cognitive distraction. In 2014 International Conference on Electronics, Information and Communications (ICEIC), pp.1-5, DOI: 10.1109/elinfocom.2014.6914389.

Chen, X and Meng, Q (2013) Vehicle detection from UAVs by using SIFT with implicit shape model. In , Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, pp.3139-3144, DOI: 10.1109/SMC.2013.535.

De Dios, PF, Meng, Q, Chung, PWH (2013) A machine learning method for identification of key body poses in cyclic physical exercises. In , Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, pp.1605-1610, DOI: 10.1109/SMC.2013.277.

Razali, S, Shamsudin, NF, Osman, M, Meng, Q, Yang, SH (2013) Flock identification using connected components labeling for multi-robot shepherding. In , 2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013, pp.298-303, DOI: 10.1109/SOCPAR.2013.7054147.

Hunt, S, Meng, Q, Hinde, CJ (2012) An extension of the consensus-based bundle algorithm for multi-agent tasks with task based requirements. In , Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012, pp.451-456, DOI: 10.1109/ICMLA.2012.163.

Saada, M and Meng, Q (2012) An efficient algorithm for anomaly detection in a flight system using dynamic bayesian networks. In , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp.620-628, DOI: 10.1007/978-3-642-34487-9_75.

Azman, A, Meng, Q, Edirisinghe, E, Azman, H (2012) Eye and mouth movements extraction for driver cognitive distraction detection. In , BEIAC 2012 - 2012 IEEE Business, Engineering and Industrial Applications Colloquium, pp.220-225, DOI: 10.1109/BEIAC.2012.6226056.

Tholley, IS, Meng, Q, Chung, PWH (2011) Robot Dancing: What Makes a Dance?. In ICCRC 2011, Proceedings of IEEE International Conference on Control, Robotics and Cybernetics, New Delhi, India, pp.53-58.

Razali, S, Meng, Q, Yang, SH (2010) A refined immune systems inspired model for multi-robot shepherding. In , Proceedings - 2010 2nd World Congress on Nature and Biologically Inspired Computing, NaBIC 2010, pp.473-478, DOI: 10.1109/NABIC.2010.5716358.

Azman, A, Meng, Q, Ahmad, A, Jayothisa, CM (2010) An emphirical study to examine sex differences in cognitive distraction among drivers. In ICATE (2010), Proc. of the Int. Conf. on Advanced Computer Theory and Engineering (ICATE), Chengdu, China, pp.585-589, ISBN: 978-1-4244-6539-2. DOI: 10.1109/ICATE.2010.5579555.

Azman, A, Meng, Q, Edirisinghe, EA (2010) Non-Intrusive Physiological Measurement for Driver Cognitive Distraction Detection Eye and Mouth Movement. In Proc. of the Int. Conf. On Advanced Computer Theory and Engineering (ICACTE), China, pp.595-599, ISBN: 978-1-4244-6540-8.

Azman, A and Meng, Q (2010) Correlation between Eye Movements and Mouth Movements to Detect Driver Cognitive Distraction. In BICS2010, Brain-Inspired Cognitive Systems, Madrid, Spain, ISBN: 978-84-614-1870-1.

Azman, A, Meng, Q, Edirisinghe, E (2010) Non Intrusive Physiological Measurement for Driver Cognitive Distraction Detection: Eye and Mouth Movements. In 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), 2010,, China, pp.595-599.

Tholley, I, Meng, Q, Chung, PWH (2009) Towards a learning framework for dancing robots. In IEEE International Conference on Control and Automation, Proceedings of ICCA 2009, Christchurch, New Zealand, pp.1581-1586, ISBN: 978-1-4244-4706-0.

Razali, S, Meng, Q, Yang, S (2009) Multi-robot cooperation using immune network with memory. In 2009 IEEE International Conference on Control and Automation (ICCA 2009), pp.145-150.

Meng, Q and Lee, M (2009) Empathy between human and home service robots. In , Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009, pp.220-224, DOI: 10.1109/CASE.2009.156.

Razali, S, Meng, Q, Yang, S (2009) Memory Based Immune Network for Multi-Robot Cooperation. In 7th Industrial Simulation Conference 2009 (ISC 2009), Proceedings of the 7th Industrial Simulation Conference 2009 (ISC 2009), Loughborough, UK, pp.91-96, ISBN: 978-90-77381-4-89.

Meng, Q and Lee, MH (2008) Robot Sensory-Motor Coordination Development and Its Adaptation. In International Conference on Intelligent Automation and Robotics, San Francisco, USA, pp.671-676.

Meng, Q and Lee, MH (2007) Adaptive Hierarchical RBF Network for Robot Learning. In The 2007 International Conference on Artificial Intelligence (ICAI '07), Las Vegas, USA, pp.501-507.

Meng, Q and Lee, MH (2007) Construction of robot intra-modal and inter-modal coordination skills by developmental learning. In International Conference on Model-Based Reasoning in Science and Medicine, JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, Guangzhou, PEOPLES R CHINA, pp.97-114, DOI: 10.1007/s10846-006-9098-5.

Meng, Q, Li, B, Costen, N, Holstein, H (2007) Functional modelling of large scattered data sets using neural networks. In MarquesDeSa, J, Alexandre, LA, Duch, W, Mandic, DP (ed) 17th International Conference on Artificial Neural Networks (ICANN 2007), ARTIFICIAL NEURAL NETWORKS - ICANN 2007, PT 1, PROCEEDINGS, Oporto, PORTUGAL, pp.441-+, ISBN: 978-3-540-74689-8.

Meng, Q and Lee, MH (2006) Biologically inspired automatic construction of cross-modal mapping in robotic eye/hand systems. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS, 2006), Beijing, China, pp.4742-4749.

Li, B, Meng, Q, Holstein, H (2006) Compact Representation of Range Imaging Surfaces. In 2006 IEEE International Conference on Image Processing (ICIP06), Atlanta, USA, pp.2189-2192, ISBN: 1-4244-0481-9.

Lee, MH, Meng, Q, Chao, F (2006) A Content-Neutral Approach for Sensory-Motor Learning in Developmental Robotics. In 6th International Conference on Epigenetic Robotics (EpiRob '06), 6th International Conference on Epigenetics Robotics (EpiRob '06), Paris, France, pp.55-62.

Meng, Q, Li, B, Holstein, H (2006) Adaptive Point-cloud Surface Interpretation. In 24th Computer Graphics International Conference, CGI 2006, LNCS 4035, Hangzhou, China, pp.430-441.

Meng, Q and Lee, MH (2006) Error-driven active learning in growing radial basis function networks for early robot learning. In 2006 IEEE Internation Conference on Robotics and Automation (IEEE ICRA 200, 2006 IEEE International Conference on Robotics and Automation (IEEE ICRA 2006), Orlando. USA, pp.2984-2990.

Meng, Q and Lee, MH (2006) Active exploration in building hierarchical neural networks for robotics. In IEEE International Conference on Instrucmentation and Measurement Technology (IMTC06), IEEE International Conference on Instrumentation and Measurement Technology (IMTC06), Sorrento, Italy, pp.2095-2100.

Lee, MH, Meng, Q, Chao, F (2006) Developmental robotics from developmental psychology. In Towards Autonomous Robotic Systems, TAROS, Guildford, United Kingdom of Great Britain and Northern Ireland, pp.103-109, ISBN: 9780955387906.

Lee, MH and Meng, Q (2005) Staged development of Robot Motor Coordination. In 2005 IEEE International Conference on Systems, Man and Cybernetics, Hawaii, USA, pp.2917-2922, ISBN: 0-7803-9298-1.

Lee, MH and Meng, Q (2005) Growth of Motor Co-ordination in Early Robot Learning. In 19th International Joint Conference on Artificial Intelligence (IJCAI-05), Edinburgh, UK, pp.1732-1733.

Meng, Q and Holstein, H (2005) Novelty and Habituation: the Driving Forces in Early Stage Learning for Developmental Robotics. In Neural Learning for Intelligent Robotics, Germany, pp.315-332.

Lee, MH and Meng, Q (2005) Psychologically Inspired Sensory-Motor Development in Early Robot Learning. In TAROS 2005 Towards Autonomous Robotic Systems, London, UK, pp.157-164.

Li, B, Meng, Q, Holstein, H (2004) Reconstruction of segmentally articulated structure in freeform movement with low density feature points. In , Image and Vision Computing, pp.749-759, DOI: 10.1016/j.imavis.2004.02.013.

Guo, Y, YU, Z, Meng, Q, XU, Y, LI, G (2004) A novel rate control algorithm in the heterogeneous transcoding. In 2004 IEEE International Symposium on Consumer Electronics, UK, pp.332-335.

Xu, Y, Meng, Q, Liu, Y, Guo, Y, Li, G (2004) MV-based adaptive transcoding technique for reduced spatial resolution. In 2004 IEEE International Symposium on Consumer Electronics, UK, pp.324-327.

Song, X, Liu, Y, Meng, Q, Teng, J, Li, G (2004) A new method of selective enhancement for MPEG-2 to MPEG-4 FGS transcoding. In 2004 IEEE International Symposium on Consumer Electronics, UK, pp.73-76.

Meng, Q and Lee, MH (2004) Learning and Control in Assistive Robotics for the Elderly. In IEEE Conference on Robotics, Automation and Mechatronics (RAM), Singapore, pp.71-76.

Meng, Q and Lee, MH (2004) Design Issues for Assistive Robotics for the Elderly. In IARP / IEEE-RAS / Euron Workshop on dependable Robots in Human Environment, Salford, UK.

LI, B, Meng, Q, Holstein, H (2004) New Method for Sparse Point-sets Matching with Underlying Non-rigidity. In Int. Conf. Pattern Recognition (ICPR'04), Cambridge, UK, pp.8-11.

LI, B, Meng, Q, Holstein, H (2003) Point Pattern Matching and Application - A review. In IEEE Int. Conf. on Systems, Man and Cybernetics, Washington, D.C, USA, pp.729-736.

Meng, Q and Lee, MH (2003) Adapting Home Service Robot Behaviours by Experience Reuse and Interaction with Humans. In IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, Kobe, Japan, pp.673-678.

lee, MH, Meng, Q, Holstein, H (2002) Learning and reuse of experience in behavior-based service robots. In 7th International Conference on Control, Automation, Robotics and Vision, Singapore, pp.1019-1024.

Li, B, Holstein, H, Meng, Q (2002) Matching Feature Points for Articulated Pose Identification. In In Proc. 7th Int. Conf. on Control, Automation, Robotic and Vision (ICARCV’02), Singapore, pp.298-303.

Li, B, Holstein, H, Meng, Q (2002) Articulated point pattern matching in optical motion capture systems. In Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002, pp.298-303, ISBN: 9810474806. DOI: 10.1109/ICARCV.2002.1234837.

Meng, Q (2001) Behavior-Based Assistive Robotics for the Home. In IEEE International Conference on Systems, Man, and Cybernetics, Tucson, Arizona, USA, pp.684-689.

Meng, Q and Lee, MH (2001) Automatic Error Recovery in Behavior-Based Assistive Robots with Learning from Experience. In , 5th IEEE International Conference on Intelligent Engineering Systems 2001, Helsinki, Finland, and Stockholm, Sweden.

Li, YF, Meng, Q, Tso, SK (1998) An approach to dynamic grasping stability measurement. In IEEE Int. Conf. on instrumentation and Measurement Technology, USA, pp.1168-1173.

Books

Chung, P, Meng, Q, Pain, M (2016) Preface.

Chung, P, Soltoggio, A, Dawson, C, Meng, Q, Pain, M (ed) (2015) Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS), Springer, ISBN: 978-3-319-24558-4. DOI: 10.1007/978-3-319-24560-7.

Chapters

He, C, Gu, Y, Wei, H-L, Meng, Q (2022) New measurement of the body mass index with bioimpedance using a novel interpretable Takagi-Sugeno Fuzzy NARX predictive model. In Jiang, R, Crookes, D, Wei, H-L, Zhang, L, Chazot, P (ed) Recent Advances in AI-enabled Automated Medical Diagnosis, CRC Press, pp.253-267, ISBN: 9781032008431.

Datasets

Turner, J, Meng, Q, Schaefer, G, Whitbrook, A, Soltoggio, A (2018) Supplementary files for article Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System, DOI: 10.17028/rd.lboro.5993038.

Other

Jiang, B, Yang, J, Jiang, N, Lv, Z, Meng, Q (2024) Retraction Note: Quality assessment for virtual reality technology based on real scene (Neural Computing and Applications, (2018), 29, 5, (1199-1208), 10.1007/s00521-016-2828-0), The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. The authors have not responded to correspondence from the publisher about this retraction. DOI: 10.1007/s00521-024-09950-1.