Hongying Meng's Homepage

Dr Hongying Meng ()

Reader in signal processing and AI

Dept. of Electronic and Electrical Engineering
College of Engineering, Design and Phys. Sciences (Institute of Environment, Health and Societies)
Brunel University London
Kingston Lane, Uxbridge, UB8 3PH, UK
Phone: +44 (0) 1895265496
Email: hongying.meng at brunel.ac.uk

The full publications and citation statistics can be found at Google Scholar. Other external links are DBLP, ORCID, Research Gate, ResearcherID, ARNETMINER, Academia.edu.

Selected Journal Papers

(2019) Lei, T., Liu, P., Jia, X., Zhang, X., Meng, H. and Nandi, A., Automatic Fuzzy Clustering Framework for Image Segmentation, IEEE Transactions on Fuzzy Systems [DOI] ( IEEE Online: Jul. 2019).
(2019) Lei, T., Jia X, Liu T, Liu S, Meng, H. and Nandi, A., Adaptive Morphological Reconstruction for Seeded Image Segmentation, IEEE Transactions on Image Processing [DOI] ( IEEE Online: Jun. 2019).
(2018) Lei, T., Jia, X., Zhang, Y., Liu, S., Meng, H. and Nandi, A., Superpixel-based Fast Fuzzy C-Means Clustering for Color Image Segmentation, IEEE Transactions on Fuzzy Systems. [DOI] ( IEEE Online: Dec. 2018). [Code].
(2018) Zhang, Z., Chen, T., Meng, H., Liu, G., and Fu, X., SMEConvNet: A Convolutional Neural Network for Spotting Spontaneous Facial Micro-Expression from Long Videos, IEEE Access . [DOI] ( IEEE Online: Nov. 2018).
(2018) Intzes, I., Meng, H. and Cosmas, J., High Data Rate FinFET On-off Keying Transmitter for Wireless Capsule Endoscopy, VLSI Design. [DOI]( Online: May. 2018)
(2018) Liu, J., Meng, H., Li, M., Zhang, F., Qin, R. and Nandi, A., Emotion detection from EEG recordings based on supervised and unsupervised dimension reduction, Concurrency and Computation: Practice and Experience. [DOI]( Wiley Online Library: Mar. 2018)
(2018) Turabzadeh, S., Meng, H., Swash, M., Pleva, M. and Juhár, J., Facial Expression Emotion Detection for Real-time Embedded Systems, Technologies. [DOI] (6(1), 17: Jan. 2018).
(2018) Lei, T., Jia, X., Zhang, Y., He, L., Meng, H. and Nandi, A., Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering, IEEE Transactions on Fuzzy Systems. 26(5):3027-3041. [DOI] ( IEEE Online: Jan. 2018).[Code]
(2018) Jan, A. , Meng, H. , Gaus, Y. and Zhang, F. Artificial Intelligent System for Automatic Depression Level Analysis through Visual and Vocal Expressions , IEEE Transactions on Cognitive and Developmental Systems. 10(3):668-680. [DOI] (IEEE Open Access, Online: Jul. 2017)[Bib TeX]
(2017) Tang C., Tian G.Y. , Chen X. , Wu J. , Li K. , Meng H. , Infrared and Visible Images Registration with Adaptable Local-Global Feature Integration for Rail Inspection, Infrared Physics & Technology. [DOI] (Science Direct, Online: Sep. 2017)[Bib TeX]
(2017) Jung S., Meng H., Qin S., Exploring challenges in developing a smart and effective assistive system for improving the experience of the elderly drivers, Chinese Journal of Mechanical Engineering, 30(5): 1133-1149. [DOI] (Online First, Springer: Jul. 2017)
(2016) Meng H., Bianchi-Berthouze N., Deng Y., Cheng J., Cosmas J.,Time-delay neural network for continuous emotional dimension prediction from facial expression sequences, IEEE Transactions on Cybernetics. 46 (4): 916-929. [DOI](IEEE Open Access) [Bib TeX]
(2016) Aung M., Kaltwang S., Romera-Paredes B., Martinez B., Singh A., Cella M., Valstar M., Meng H., Kemp A., Shafizadeh M., Elkins A., Kanakam N., Rothschild A., Tyler N., Watson P., Williams A., Pantic M., and Bianchi-Berthouze B., The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset, IEEE Transactions on Affective Computing.7(4): 435-451.[DOI](IEEE Open Access) [Bib TeX]
(2016) Intzes I and Meng H., Design of wireless swallowable capsule with minimum power consumption and high resolution images, Journal of Engineering Science and Technology Review. 9(6):39-42.
(2014) Meng H., Bianchi-Berthouze N., Affective state level recognition in naturalistic facial and vocal expressions, IEEE Transactions on Cybernetics, 44(3): 315-328. [PDF] [DOI](IEEE Open Access) [Bib TeX].
(2014) Intzes I, Meng H., and Cosmas J. , Technology of swallowable capsule for medical applications, International Journal of Biomedical Engineering and Technology, 14(4): 277-296.[DOI][Bib TeX]
(2012) Gao Y. Bianchi-Berthouze, N. and Meng H., What does touch tell us about emotions in touchscreen-based gameplay? ACM Transactions on Computer-Human Interaction. 19(4). [PDF][DOI][Bib TeX]
(2012) Appiah, K., Hunter, A., Dickinson, P. and Meng, H., Implementation and Applications of Tri-State Self Organising Maps on FPGA, IEEE Transactions on Circuits and Systems for Video Technology 22 (8) : 1150- 1160 [PDF] [DOI] [Bib TeX]
(2010) Meng, H., Appiah, K., Yue, S., Hunter, A., Hobden, M., Priestley, N., Hobden, P. and Pettit, C., A modified model for the Lobula Giant Movement Detector and its FPGA implementation, Computer Vision and Image Understanding 114 (11) : 1238- 1247 [PDF] [DOI] [Bib TeX]
(2010) Appiah, K., Hunter, A., Dickinson, P. and Meng, H., Accelerated hardware video object segmentation: From foreground detection to connected components labelling, Computer Vision and Image Understanding 114 (11) : 1282- 1291 [PDF] [DOI] [Bib TeX]
(2009) Meng, H. and Pears, N., Descriptive temporal template features for visual motion recognition, Pattern Recognition Letters 30 (12) : 1049- 1058 [PDF] [DOI][BibTeX]
(2008) Meng, H., Freeman, M., Pears, N. and Bailey, C., Real-time human action recognition on an embedded, reconfigurable video processing architecture, Journal of Real-Time Image Processing 3 (3) : 163- 176 [PDF] [DOI] [BibTeX]
(2006) Abel, E., Meng, H., Forster, A. and Holder, D., Singularity characteristics of needle EMG IP signals, IEEE Transactions on Biomedical Engineering 53 (2) : 219- 225 Download publication [Bib TeX]
(2005) Liu, L., Chen, N., Zhang, C., Meng, H., Zhang, L., Wang, Z. and Chen, H., An ASIC implementation of JPEG2000 encoder, Chinese Journal of Electronics 14 (4) : 603- 608
(2004) Liu, L., Chen, N., Meng, H., Zhang, L., Wang, Z. and Chen, H., A VLSI architecture of JPEG2000 encoder, IEEE Journal of Solid-State Circuits 39 (11) : 2032- 2040 Download publication [Bib TeX]
(2000) Meng, H. and Wang, Z., Fast spatial combinative lifting algorithm of wavelet transform using the 9/7 filter for image block compression, Electronics Letters 36 (21) : 1766- 1767 Download publication

Conference Papers

(2019) Lei, T., Zhang, Q., Xue, D., Chen, T., Meng, H. and Nandi, A. (2019) 'End-to-end Change Detection Using a Symmetric Fully Convolutional Network for Landslide Mapping'.ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, UK. 17 - 17 May. IEEE. pp. 3027 - 3031. ISSN: 2379-190X
(2018) Cosmas, JP., meunier, B., Ali, K., Jawad, N., Salih, M., Meng, H., et al. 'A Scalable and License Free 5G Internet of Radio Light Architecture for Services in Homes & Businesses'.Broadband Multimedia Systems and Broadcasting. Valencia, Spain. 8 - 8 June.
(2018) Gaus, YFA. and Meng, H. 'Linear and Non-Linear Multimodal Fusion for Continuous Affect Estimation in-the-Wild'.IEEE Conference on Automatic Face and Gesture Recognition. Xi'an, China. 16 - 19 May
(2018) Jan, A., Ding, H., Meng, H., Chen, L. and Li, H. 'Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition'.IEEE Conference on Automatic Face and Gesture Recognition. Xi'an, China. 15 - 19 May
(2018) Liu Y, Meng H, Swash MR, Gaus YFA ,Qin R. 'Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction'.IEEE Conference on Automatic Face and Gesture Recognition and Workshops. Xi'an, China. 15 - 19 May
(2018) Cosmas, JP., Meunier, B., Ali, K., Jawad, N., Salih, M., Meng, H., et al. 'A Scaleable and License Free 5G Internet of Radio Light Architecture for Services in Train Stations'.EU Wireless. Catania, Italy. 4 - 4 May
(2018) Cosmas, JP., Meunier, B., Ali, K., Jawad, N., Meng, H., Goutagneux, F., et al., G Internet of Radio Light Services for Musée de la Carte à Jouer, GLOBAL LIFI CONGRESS, 2018. Paris. 9 - 9 February.
(2017) Cosmas JP, Meunier B, Ali K, Jawad N, Salih M, Meng H, Song J, Wang J, Tong M, Cao X, Li X, Zhang X, Huang C, Zhang Y, Ran M, Ran E, Salomon E, Avinoam Y, Hadad Z, Globen B, Negru D, Lacaud M, Kourtis M, Koumaras H, Sakkas C, Huang L, Zetik R, Cabaj K, Mazurczyk W, Kapovits A, 5G Internet of Radio Light Services for Supermarkets, Solidstate Semiconductor Lighting 2017. Beijing. 1 - 3 November.
(2017) Turabzadeh, S. , Meng, H. , Swash, RM. , Pleva, M. and Juhar, J. Real-time Emotional State Detection from Facial Expression on Embedded Devices , Proceedings of Seventh International Conference on Innovative Computing Technology (INTECH 2017). Luton, UK.
(2017) Gaus, Y. , Meng, H. and Jan, A. Decoupling Temporal Dynamics for Naturalistic Affect Recognition in a Two-Stage Regression Framework, Proceedings of the 3rd IEEE International Conference on Cybernetics. UK. 23 - 23 June.
(2016) Liu, J. , Meng, H. , Nandi, AK. , Li, M. , Emotion Detection from EEG Recordings . Proceedings of 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Changsha, China, 13-15th Aug. pp. 1722 - 1727.
(2016) Zhang, F. , Meng, H. , Li, M. , Emotion Extraction and Recognition from Music . Proceedings of 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Changsha, China, 13-15th Aug. pp. 1728 - 1733.
(2016) Qin, R. , Meng, H. , Li, M. , Continuous Pain Related Behavior Recognition from Muscle Activity and Body Movements . Proceedings of 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Changsha, China, 13-15th Aug. pp. 1710 - 1715.
(2016) Alshamsi, H. , Meng, H. , Li, M. , Real Time Facial Expression Recognition App Development on Mobile Phones . Proceedings of 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Changsha, China, 13-15th Aug. pp. 1750 - 1755.
(2016) Dai, D. , Liu, Q. , Meng, H. , Can Your Smartphone Detect Your Emotion?. Proceedings of 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Changsha, China, 13-15th Aug. pp. 1704 - 1709.
(2015) Gaus, YFA. , Olugbade, T. , Jan, A. , Qin, R. , Liu, J., Zhang F., Meng H. and Bianchi-Berthouze, N., Social Touch Gesture Recognition Using Random Forest and Boosting on Distinct Feature Sets. Proceedings of ACM ICMI 2015, pp. 399 - 406.
(2015) Jan A and Meng H, Automatic 3D Facial Expression Recognition using Geometric and Textured Feature Fusion, IEEE FG2015 Workshop (EmoSPACE 2015), Ljubljana, Slovenia, 4-8th May, 2015. Proceedings of FG2015 and workshops.
(2015) Gaus YFBA., Meng H, Jan A, Zhang F and Turabzadeh S, Automatic Affective Dimension Recognition from Naturalistic Facial Expressions Based on Wavelet Filtering and PLS Regression, IEEE FG2015 Workshop (EmoSPACE 2015), Ljubljana, Slovenia, 4-8th May, 2015. Proceedings of FG2015 and workshops.
(2014) Jan A, Meng H, Gaus YFA, Zhang F, Turabzadeh S, Automatic Depression Scale Prediction using Facial Expression Dynamics and Regression, Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge (AVEC14). ACM, ACM New York, NY, USA. 07 Nov 2014, 73-80.
(2013) Meng H, Huang D, Wang H, Yang H, Al-Shuraifi M, Wang Y, Depression Recognition based on Dynamic Facial and Vocal Expression Features using Partial Least Square Regression, Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge(AVEC'13), ACM multimedia 2013 workshop, Barcelona, Spain., 21 Oct 2013, 21-30.
(2013) Cheng J, Deng Y, Meng H, Wang Z, A Facial Expression Based Continuous Emotional State Monitoring System with GPU Acceleration, IEEE FG2013 Workshop (EmoSPACE 2013), Shanghai, China, 22 Apr 2013 - 29 Apr 2013. Proceedings of FG2013.
(2012) Cella, M., Aung, M.S.H., Meng, H., Bianchi-Berthouze, N., Romera-Paredes, B., Singh, A., Shafizadehkenari, M., CdeC Williams, A., Watson, P., Kemp, A., Brooks, S., Kaltwang, S., Valstar, M., Identifying pain behaviour for automatic recognition. Proceedings of the 14th world congress on pain, Milan, Italy, 27-31, Aug. 2012.
(2011) Shafizadeh, M., Meng, H. and Bianchi-Berthouze, N., Development of a quantitative disability assessment method for people with multiple sclerosis, , Proceedings of ECTRIMS/ACTRIMS 2011
(2011) Meng, H., Romera-Paredes, B. and Bianchi-Berthouze, N., Emotion Recognition by Two View SVM_2K Classifier on Dynamic Facial Expression Features, Proceedings of IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011) 854- 859
(2011) Meng, H., Appiah, K., Hunter, A. and Dickinson, P., FPGA Implementation of Naive Bayes Classifier for Visual Object Recognition, , Proceedings of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR-W’11), The Seventh IEEE Embedded Computer Vision Workshop 123- 128
(2011) Meng, H., Kleinsmith, A. and Bianchi-Berthouze, N., Multi-score Learning for Affect Recognition: the Case of Body Postures, ACII 2011, LNCS (6974) : 225- 234
(2011) Meng, H. and Bianchi-Berthouze, N., Naturalistic Affective Expression Classification by a Multi-Stage Approach Based on Hidden Markov Models, 1st International Audio/Visual Emotion Challenge and Workshop (AVEC 2011), LNCS (6975) : 378- 387
(2010) Appiah, K., Meng, H., Hunter, A. and Dickinson, P., Binary histogram based split/merge object detection using FPGAs, , Proceedings of IEEE Int’l Conf. Computer Vision and Pattern Recognition (CVPR-W’10), The Sixth IEEE Embedded Computer Vision Workshop 45- 52
(2010) Appiah, K., Hunter, A., Dickinson, P. and Meng, H., Binary Object Recognition System on FPGA with bSOM, , Proceedings of IEEE System on Chip Conference (SOCC 2010) 254- 259
(2009) Appiah, K., Hunter, A., Meng, H., Yue, S., Hobden, M., Priestley, N., Hobden, P. and Pettit, C., A binary Self-Organizing Map and its FPGA implementation, , Proceedings of International Joint Conference on Neural Networks(IJCNN) 164- 171
(2009) Meng, H., Yue, S., Hunter, A., Appiah, K., Hobden, M., Priestley, N., Hobden, P. and Pettit, C., A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature, , Proceedings of International Joint Conference on Neural Networks(IJCNN) 2078- 2083
(2009) Meng, H., Appiah, K., Hunter, A., Yue, S., Hobden, M., Priestley, N., Hobden, P. and Pettit, C., A modified sparse distributed memory model for extracting clean patterns from noisy inputs, , Proceedings of International Joint Conference on Neural Networks(IJCNN) 2084- 2089
(2007) Meng, H., Pears, N. and Bailey, C., A Human Action Recognition System for Embedded Computer Vision Application, , Proceedings of CVPR (The third IEEE Embedded Computer Vision Workshop) 1- 6
(2007) Meng, H., Pears, N. and Bailey, C., An FPGA-based system for development of real-time embedded vision applications, , Proceedings of HiPEAC Workshop on Reconfigurable Computing 33- 40
(2007) Meng, H., Pears, N. and Bailey, C., Motion information combination for fast human action recognition, , Proceedings of the 2nd International Conference on Computer Vision Theory and Applications (VISAPP07) 21- 28
(2006) Liu, L., Meng, H. and Zhang, M., An ASIC Implementation of Lifting-Based 2-D Discrete Wavelet Transform, , Proceedings of IEEE Asia Pacific Conference on Circuits and Systems 271- 274
(2006) Meng, H., Pears, N. and Bailey, C., Human Action Classification Using SVM_2K Classifier on Motion Features, , Multimedia Content Representation, Classification and Security,LNCS (4105) : 458- 465
(2006) Meng, H., Pears, N. and Bailey, C., Recognition human actions based on motion information and SVM, , Proceeding of the 2nd IET International Conference on Intelligent Environments 239- 245
(2005) Liu, L., Meng, H., Zhang, L. and Wang, Z., An ASIC implementation of JPEG2000 codec, , Proceedings of the IEEE Custom Integrated Circuits Conference 691- 694
(2005) Meng, H., Pears, N. and Bailey, C., FPGA based video processing system for ubiquitous applications, , Perspectives in Pervasive Computing 57- 63
(2005) Meng, H., Hardoon, DR., Shawe-Taylor, J. and Szedmák, S., Generic object recognition by combining distinct features in machine learning, , Proceedings of the Society of Photo-optical Instrumentation Engineers (SPIE) (5673) : 90- 98
(2005) Meng, H., Shawe-Taylor, J., Szedmák, S. and Farquhar, J., Support Vector Machine to Synthesise Kernels, Deterministic and Statistical Methods in Machine Learning, LNCS (3635) : 242- 255
(2005) Farquhar, J., Hardoon, DR., Meng, H., Shawe-Taylor, J. and Szedmák, S., Two view learning: SVM-2K, theory and practice, Advances in Neural Information Processing Systems (NIPS)
(2003) Liu, L., Chen, N., Meng, H., Zhang, L., Wang, Z. and Chen, H., A VLSI chip of SCLA based 2-D DWT/IDWT, , Proceedings of 5th International Conference on ASIC 898- 901
(2002) Liu, L., Wang, X., Meng, H., Zhang, L., Wang, Z. and Chen, H., A VLSI architecture of spatial combinative lifting algorithm based 2-D DWT/IDWT, , Proceedings of IEEE Asia-Pacific Conference on Circuits and Systems, APCCAS '02. 299- 304

Book Chapters

(2009) Meng, H., Pears, N. and Bailey, C., Motion Feature Combination for Human Action Recognition in Video. In: Ranchordas, AK. ed. Computer Vision and Computer Graphics - Theory and Applications. Communications in Computer and Information Science, Springer-Verlag New York Inc 151- 163
(2009) Meng, H., Pears, N., Freeman, M. and Bailey, C., Motion history histograms for human action recognition. In: Kisačanin, B., Bhattacharya, SS. and Chai, S. eds. Embedded Computer Vision. Springer-Verlag New York Inc 139- 162
(2006) Everingham, M., Zisserman, A., Williams, C., Van, GL., Allan, M., Bishop, C., Chapelle, O., Dalal, N., Deselaers, T., Dorkó, G., Duffner, S., Eichhorn, J., Farquhar, J., Fritz, M., Garcia, C., Griffiths, T., Jurie, F., Keysers, D., Koskela, M., Laaksonen, J., Larlus, D., Leibe, B., Meng, H., Ney, H., Schiele, B., Schmid, C., Seemann, E., Shawe-Taylor, J., Storkey, A., Szedmák, S., Triggs, B., Ulusoy, I., Viitaniemi, V. and Zhang, J., The 2005 PASCAL Visual Object Classes Challenge. In: Quiñonero-Candela, J. ed. Machine Learning Challenges. Lecture Notes in Artificial Intelligence.. Springer-Verlag New York Inc (3944) : 117- 176