Dr Daqing Chen


NameDr Daqing Chen
Job titleSenior Lecturer
Organisational UnitComputer Science and Informatics
ORCIDhttps://orcid.org/0000-0003-0030-1199

Research outputs

Distributed deep networks based on Bagging-Down SGD algorithm

Qin, C, Gao, X and Chen, D (2019). Distributed deep networks based on Bagging-Down SGD algorithm. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics. 41 (5), pp. 1021-1027.

Design of a voice control 6DoF grasping robotic arm based on ultrasonic sensor, computer vision and Alexa voice assistance

Wang, Z, Chen, D and Xiao, P (2019). Design of a voice control 6DoF grasping robotic arm based on ultrasonic sensor, computer vision and Alexa voice assistance. International Conference on Information Technology in Medicine and Education. Qingdao, China 23 - 25 Aug 2019

Towards automated cost analysis, benchmarking and estimating in construction: a machine learning approach

Chen, D, Hajderanj, L and Fiske, J (2019). Towards automated cost analysis, benchmarking and estimating in construction: a machine learning approach. 13th Multi Conference on Computer Science and Information Systems (MCCSIS). Porto, Portugal 16 - 18 Jul 2019

Improving Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnosis via RBF Networks trained with EKF models

Adegoke, V, Chen, D and Banissi, E (2019). Improving Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnosis via RBF Networks trained with EKF models. International Journal of Computer Information Systems and Industrial Management.

On Distributed Deep Network for Processing Large-Scale Sets of Complex Data

Qin, C, Gao, X and Chen, D (2016). On Distributed Deep Network for Processing Large-Scale Sets of Complex Data. 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). Hangzhou, China. 27 - 28 Aug 2016 doi:10.1109/IHMSC.2016.55

Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic using optimized EKF-RBFN trained prototypes, The 10th International Conference on Soft Computing and Pattern Recognition

Adegoke, V, Chen, D, Banissi, E and Barikzai, S (2019). Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic using optimized EKF-RBFN trained prototypes, The 10th International Conference on Soft Computing and Pattern Recognition. The 10th International Conference on Soft Computing and Pattern Recognition. Porto, Portugal 13 - 15 Dec 2018

Decoder-Encoder LSTM for Lip Reading

Fanghour, S, Chen, D and Xiao, P (2019). Decoder-Encoder LSTM for Lip Reading. 2019 8th International Conference on Software and Information Engineering (ICSIE 2019). Cairo, Eygpt 09 - 12 Apr 2019

Learning Bayesian network parameters via minimax algorithm

Gao, X, Gao, G, Ren, H, Chen, D and He, C (2019). Learning Bayesian network parameters via minimax algorithm. International Journal of Approximate Reasoning. 108, pp. 62-75.

A New Supervised t-SNE with Dissimilarity Measure for Effective Data Visualization and Classification

Hajderanj, L, Weheliye, I and Chen, D (2019). A New Supervised t-SNE with Dissimilarity Measure for Effective Data Visualization and Classification. 2019 8th International Conference on Software and Information Engineering. Cairo 09 - 12 Apr 2019

Recurrent Neural Networks for Decoding Lip Read Speech

Fenghour, S, Chen, D and Xiao, P (2019). Recurrent Neural Networks for Decoding Lip Read Speech. 2019 8th International Conference on Software and Information Engineering (ICSIE 2019). Cairo 09 - 12 Apr 2019

Learning Bayesian Networks using the Constrained Maximum a Posteriori Probability Method

Yang, Y, Gao, X, Guo, Z and Chen, D (2019). Learning Bayesian Networks using the Constrained Maximum a Posteriori Probability Method. Pattern Recognition. 91, pp. 123-134.

Contour Mapping for Speaker-Independent Lip Reading System

Fenghour, S, Chen, D and Xiao, P (2018). Contour Mapping for Speaker-Independent Lip Reading System. The 11th International Conference on Machine Vision (ICMV 2018). Munich, Germany 01 - 03 Nov 2018

FRS: A Simple Knowledge Graph Embedding Model for Entity Prediction

Wang, L.F., Lu, X., Jiang, Z., Zhang, Z., Li, R., Zhao, M. and Chen, D. (2019). FRS: A Simple Knowledge Graph Embedding Model for Entity Prediction. Mathematical Biosciences and Engineering. 16 (6), pp. 7789-7807.

Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study

Chen, D., Guo, K. and Li, B. (2019). Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study. 24th Iberoamerican Congress on Pattern Recognition (CIARP 2019). Havana, Cuba 28 - 31 Oct 2019

Visual analytics in the public sector: An analysis on diversities and similarities of London’s wards

Chen, D, Sanz, BM and Zhao, E (2018). Visual analytics in the public sector: An analysis on diversities and similarities of London’s wards. International Conference on Big Data Analytics, Data Mining and Computational Intelligence 2018 (BigDaCI 2018). Madrid, Spain 18 - 20 Jul 2018 Bigdaci.

Making Better Use of Big Data

Chen, D (2016). Making Better Use of Big Data. LSBU Enterprise Count Event, March 2016. London Southbank University 18 - 18 Mar 2016 London South Bank University.

Determining Key (Predictor) Modules for Early Identification of Students At-Risk

Chen, D and Elliott, G (2013). Determining Key (Predictor) Modules for Early Identification of Students At-Risk. International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013). Beijing, China 19 - 20 Dec 2013 London South Bank University. doi:10.2991/icaiees-13.2013.22

Big Data Analytics System for Fact/Data-driven Decision Making

Chen, D (2015). Big Data Analytics System for Fact/Data-driven Decision Making. The Royal Statistical Society, Business and Industry Section. London, UK 18 Nov 2015 London South Bank University.

A Bayesian Approach to Learn Bayesian Networks Using Data and Constraints

Gao, X, Yu, Y, Zhi-gao, G and Chen, D (2016). A Bayesian Approach to Learn Bayesian Networks Using Data and Constraints. 23rd International Conference on Pattern Recognition (ICPR 2016). Cancún, México 04 - 08 Dec 2016 London South Bank University. doi:10.1109/ICPR.2016.7900204

Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining

Chen, D (2012). Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining. Journal of Database Marketing and Customer Strategy Management. 19 (3), pp. 197-208.

Predictive Ensemble Modelling: An Experimental Comparison of Boosting Implementation Methods

Adegoke, V, Chen, D, Barikzai, S and Banissi, E (2017). Predictive Ensemble Modelling: An Experimental Comparison of Boosting Implementation Methods. 2017 European Modelling Symposium (EMS). Manchester 20 - 21 Nov 2017 London South Bank University.

Prediction of Breast Cancer Survivability using Ensemble Algorithms

Adegoke, V, Chen, D, Banissi, E and Barikzai, S (2017). Prediction of Breast Cancer Survivability using Ensemble Algorithms. International Conference on Smart System and Technologies 2017 (SST 2017),. Osijek, Croatia 18 - 20 Oct 2017 London South Bank University.

Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method

Guo, Zhi-gao, Gao, Xiao-guang, Hao, Ren, Yang, Yu, Di, Ruo-hai and Chen, D (2017). Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method. International Journal of Approximate Reasoning. 91 (Dec), pp. 22-35.

Feature Extraction and Labelling Large Data Sets Using Deep Learning

Chen, D (2017). Feature Extraction and Labelling Large Data Sets Using Deep Learning. RESEARCHER LINK: Smart Technology for Fighting Virus Epidemics & Bioinformatics. Recife, Pernambuco, Brazil 10 - 13 Sep 2017 London South Bank University.

BIG DATA ANALYTICS IN THE PUBLIC SECTOR: A CASE STUDY OF NEET ANALYSIS FOR THE LONDON BOROUGHS

Chen, D, Asaolu, B and Qin, C (2016). BIG DATA ANALYTICS IN THE PUBLIC SECTOR: A CASE STUDY OF NEET ANALYSIS FOR THE LONDON BOROUGHS. International Conference on Big Data Analytics, Data Mining and Computational Intelligence. Funchal, Madeira, Portugal 02 - 04 Jul 2016 London South Bank University.

On Distributed Deep Network for Processing Large-Scale Sets of Complex Data

Chen, D (2016). On Distributed Deep Network for Processing Large-Scale Sets of Complex Data. 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). Hangzhou, China 27 - 28 Aug 2016 London South Bank University.
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