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HomeAcademic staffDr Daqing Chen
Dr Daqing Chen

Dr Daqing Chen

chend@lsbu.ac.uk

Computer Science and Informatics

https://orcid.org/0000-0003-0030-1199

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I am a Senior Lecturer in Data Science, the Deputy Head of Division of Computer Science and Informatics, and the course director for MSc Data Science. I mainly teach Data Mining and Analytics, and Introduction to Data Science. My research interests include deep learning algorithms and systems with applications in lip-reading, high dimensional data embedding and visualization, medical image diagnosis, high-volume data labelling, and business intelligence.

In recent years, I have conducted several business-oriented projects across a variety of industry sectors, including

Machine-based Learning for Automatic Construction Cost Indexing (the Royal Institution of Charted Surveyors),

M&E cost life-cycle and analytics (The Royal Institution of Charted Surveyors)

Big data/fact-driven decision-making system (London Borough of Lambeth)

RESEARCHER LINK: Smart Technology for Fighting Zika-Virus Epidemics (Remotely and highly distributed sensed data, Analytics and Visual sensing of micro-macro environment health welfare, British Council & FACEPE/FAPITEC Brazil)

Student retention analysis and prediction (London South Bank University),

Donor segmentation for not-for-profit organization (The Muscular Dystrophy Campaign, UK), and

Consumer-centric business intelligence for online retailers (The Rex International, Ltd, UK).

Selected Publications:

Fenghour, S., Chen, D., Guo, K., Li, B. and Xiao, P. (2021). An Effective Conversion of Visemes to Words for High-Performance Automatic Lipreading. Sensors. 21 (23). https://doi.org/s21237890

Fenghour, S., Chen, D., Guo, K., Li, B. and Xiao, P. (2021). Deep Learning-based Automated Lip-Reading: A Survey. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3107946.

Hajderanj, L., Chen, D. and Weheliye, I. (2021). The Impact of Supervised Manifold Learning on Structure Preserving and Classification Error: A Theoretical Study. IEEE Access. 9. https://doi.org/10.1109/ACCESS.2021.3066259

Fanghour, S., Chen, D., Guo, K. and Xiao, P. (2020). Lip Reading Sentences Using Deep Learning with Only Visual Cues. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3040906.

Hajderanj, L., Chen, D., Grisan, E. and Dudley-McEvoy, S (2020). Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing. IEEE Access. 8, pp. 207141 - 207155. https://doi.org/10.1109/ACCESS.2020.3038460

Courses taught

Data Science - MSc

Computing Science and Informatics - PhD

General Engineering - MRes

Computer Science - BSc (Hons)

Information Technology - BSc (Hons)

Postgraduate Research Supervision
Current
Mr Kamal ThapaEnd-to-end Lip-reading: A Preliminary StudyMRes
Mrs Randa El BialyResolving Deep Learning Challenges in Visual Speech RecognitionPhD
Mr Oghbazghi KafelCovid-19 Data Analysis and Prediction using Machine LearningPhD

Awarded in the last 5 years
Miss Laureta HajderanjEffective and Trustworthy Dimensionality Reduction Approaches for High Dimensional Data Understanding and VisualizationPhD
Mr Shwan DyllonEducational Network Traffic Data AnalysisPhD
Mr Souheil FenghourViseme-based Lip-Reading using Deep LearningPhD
Mr Vincent Fisayo AdegokeMPhil Thesis: Methods to Improve the Prediction Accuracy and Performance of Ensemble ModelsPhD
PhD in Automatic Control Engineering

Northwestern Polytechncial University, Xi’an, China.

1990
1993
MPhil in Automatic Control Engineering

The National University of Defense Technology, Changsha, China,

1987
1990
Bachelor in Systems Engineering

Northwestern Polytechncial University, Xi’an, China.

1978
1982
Senior Lecturer in Data Science
Division of Computer Science and Informatics, School of Engineering, London South Bank University

2001
Education
Research Fellow
School of Computing, Information Systems and Mathematics, South Bank University

1999
2001
Education
Research Fellow
System, Electronics and Information Laboratory, IRESTE, University of Nantes, Nantes, France.

1998
1999
Education
Research Associate
Computer Science and Engineering Department, The Chinese University of Hong Kong, Hong Kong.

1997
1998
Education
Associate Professor
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China.

1997
Education
Post-doctoral Research Fellow
National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China.

1994
1997
Education
FunderYear wonProjectRole
Lambeth Council2016Sci043_Eng_AppRes_Lambeth council_Data mining analysis extentionPrincipal Investigator
Acctive Systems Ltd2018PGR_018_Eng_Stu_Acctive_SystemsPrincipal Investigator
Fundsurfer2016KE032_Fundsurfer_AI Development for VC and Investment Readiness_KTP_21072016Co-Investigator
Royal Institution of Chartered Surveyors (RICS)2016KE011_KET Data Mining & Web ScrapingPrincipal Investigator
Royal Institution of Chartered Surveyors (RICS)2016KE009_M&E Data Provision Model Development_KTP_04022016Co-Investigator
MIEEE
2010
MBCS
2014
Business Intelligence: A Managerial Perspective, Global Edition (Paperback, 4th edition), Pearson Education Ltd
School of Electronics and Information, Northwestern Polytechnical University, China.
Visiting professor

Data Science. Deep Learning Theory and Applications.

July 2016
School of Computer Science and Engineering, Northwestern Polytechnical University, China.

Visiting Professor, Joint research grant application. Supervision.

July 2018

The Effect of Sun Tan Lotion on Skin By Using Skin TEWL and Skin Water Content Measurements
Xiao, P. and Chen, D. (2022). The Effect of Sun Tan Lotion on Skin By Using Skin TEWL and Skin Water Content Measurements. MDPI Sensors. 22. https://doi.org/10.3390/s22093595

Few-shot Object Recognition based on Three-Way Decision and Active Learning
Li, B., Luo, S., Wang, J., Tian, L. and Chen, D. (2022). Few-shot Object Recognition based on Three-Way Decision and Active Learning. Visual Computer . 37.

UAV visual flight control method based on deep reinforcement learning
Bai, S., Li, B., Gan, Z. and Chen, D. (2021). UAV visual flight control method based on deep reinforcement learning. 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI). https://doi.org/10.1109/iccsi53130.2021.9736242

An Effective Conversion of Visemes to Words for High-Performance Automatic Lipreading.
Fenghour, S., Chen, D., Guo, K., Li, B. and Xiao, P. (2021). An Effective Conversion of Visemes to Words for High-Performance Automatic Lipreading. Sensors. 21 (23). https://doi.org/s21237890

UAV flight control method based on deep reinforcement learning
Bai, S., Li, B., Gan, Z. and Chen, D. (2021). UAV flight control method based on deep reinforcement learning. 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI). Beijing, China 18 Dec 2021 - 20 Mar 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCSI53130.2021.9736242

ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments
Wan, K., Wu, D., Li, B., Gao, X., Hu, Z. and Chen, D. (2021). ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments. International Journal of Intelligent Systems. 37 (3), pp. 2393-2427. https://doi.org/10.1002/int.22778

Learning the structure of Bayesian networks with ancestral and/or heuristic partition
Tan, X., Gao, X., Wang, Z., Han, H., Liu, X. and Chen, D. (2021). Learning the structure of Bayesian networks with ancestral and/or heuristic partition. Information Sciences. https://doi.org/10.1016/j.ins.2021.10.052

Deep Learning-based Automated Lip-Reading: A Survey
Fenghour, S., Chen, D., Guo, K., Li, B. and Xiao, P. (2021). Deep Learning-based Automated Lip-Reading: A Survey. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3107946

Deep Learning Causal Attributions of Breast Cancer
Chen, D., Hajderanj, L., Mallet, S., Camenen, P., Li, B., Hao, R. and Zhao, E. (2021). Deep Learning Causal Attributions of Breast Cancer. in: Arai, K. (ed.) Intelligent Computing, Proceedings of the 2021 Computing Conference, Lecture Notes in Networks and Systems, Vol 285, Intelligent Computing (A. Kohei, Editor) Springer.

The Impact of Supervised Manifold Learning on Structure Preserving and Classification Error: A Theoretical Study
Hajderanj, L., Chen, D. and Weheliye, I. (2021). The Impact of Supervised Manifold Learning on Structure Preserving and Classification Error: A Theoretical Study. IEEE Access. 9. https://doi.org/10.1109/ACCESS.2021.3066259

Enhancing Transformer-based language models with Commonsense Representations for Knowledge-driven Machine Comprehension
Li, R., Jiang, Z., Wang, L., Lu, X., Zhao, M. and Chen, D. (2021). Enhancing Transformer-based language models with Commonsense Representations for Knowledge-driven Machine Comprehension. Knowledge-Based Systems. 220, p. 106936. https://doi.org/10.1016/j.knosys.2021.106936

The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms
Xiao, P., Zhang, Xu, Pan, Wei, Ou, Xiang, Bontozoglou, C., Chirikhina, E. and Chen, D. (2020). The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms. Cosmetics. 7 (3), p. e67. https://doi.org/10.3390/cosmetics7030067

Three‐way decision of target threat decision making based on adaptive threshold algorithms
Li, B., Tian, Li., Han, Y. and Chen, D. (2020). Three‐way decision of target threat decision making based on adaptive threshold algorithms. The Journal of Engineering. 2020 (13), pp. 293-297. https://doi.org/10.1049/joe.2019.1202

Effectiveness analysis of ship formation air defence based on deep belief network
Li, B., Luo, H., Wang, Y. and Chen, D. (2020). Effectiveness analysis of ship formation air defence based on deep belief network. The Journal of Engineering. 2020 (13), pp. 394-398. https://doi.org/10.1049/joe.2019.1201

Maneuvering target tracking of UAV based on MN-DDPG and transfer learning
Li, B., Yang, Z.P., Chen, D.Q., Liang, S.Y. and Ma, H. (2020). Maneuvering target tracking of UAV based on MN-DDPG and transfer learning. Defence Technology. https://doi.org/10.1016/j.dt.2020.11.014

An adaptive dwell time scheduling model for phased array radar based on three-way decision
Li, B., Tian, L., Chen, D. and Liang, S. (2020). An adaptive dwell time scheduling model for phased array radar based on three-way decision. Journal of Systems Engineering and Electronics. pp. 500-509. https://doi.org/10.23919/JSEE.2020.000030

Lip Reading Sentences Using Deep Learning with Only Visual Cues
Fanghour, S., Chen, D., Guo, K. and Xiao, P. (2020). Lip Reading Sentences Using Deep Learning with Only Visual Cues. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3040906

Deep Learning Causal Attributions of Breast Cancer
Chen, D, Hajderanj, L, Mallet, S, Camenen, P, Li, B, Ren, H and Zhao, E (2020). Deep Learning Causal Attributions of Breast Cancer. Computing 2021. London 15 - 16 Jul 2021 The Science and Information (SAI) Organization. https://doi.org/10.1007/978-3-030-80129-8_10

UAV Maneuvering Target Tracking in Uncertain Environments based on Deep Reinforcement Learning and Meta-learning
Li, B., Gan, Z., Chen, D. and Aleksandrovich, D.S. (2020). UAV Maneuvering Target Tracking in Uncertain Environments based on Deep Reinforcement Learning and Meta-learning. Remote Sensing. 12 (22), p. 3789. https://doi.org/10.3390/rs12223789

Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing
Hajderanj, L., Chen, D., Grisan, E. and Dudley-McEvoy, S (2020). Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing. IEEE Access. 8, pp. 207141 - 207155. https://doi.org/10.1109/ACCESS.2020.3038460

Learning Bayesian Networks based on Order Graph with Ancestral Constraints
Wang, Z., Gao, X., Tian, X., Yang, Y. and Chen, D. (2020). Learning Bayesian Networks based on Order Graph with Ancestral Constraints. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2020.106515

An Adaptive Task Scheduling Method for Networked UAV Combat Cloud System Based on Virtual Machine and Task Migration
Li, B., Liang, S., Tian, L., Chen, D. and Zhang, M. (2020). An Adaptive Task Scheduling Method for Networked UAV Combat Cloud System Based on Virtual Machine and Task Migration. Mathematical Problems in Engineering. p. 5391479. https://doi.org/10.1155/2020/5391479

Intelligent Aircraft Maneuvering Decision Based on CNN
Li, B., Liang, S., Tian, L. and Chen, D. (2019). Intelligent Aircraft Maneuvering Decision Based on CNN. Proceedings of the 3rd International Conference on Computer Science and Application Engineering. (138). https://doi.org/10.1145/3331453.3362046

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. https://doi.org/10.1016/j.ijar.2019.03.001

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. https://doi.org/10.1016/j.patcog.2019.02.006

Intelligent Attitude Control of Aircraft Based on LSTM
Li, B, Gao, P, Li, X and Chen, D (2019). Intelligent Attitude Control of Aircraft Based on LSTM. 3rd International Conference on Artificial Intelligence Applications and Technologies. Beijing, China 01 - 03 Aug 2019 IOP Publishing. https://doi.org/10.1088/1757-899X/646/1/012013

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. https://doi.org/10.3934/mbe.2019391

A Task Scheduling Algorithm for Phased Array Radar Based on Dynamic Three-way Decision
Li, B., Tian, L., Chen, D. and Han, Y. (2019). A Task Scheduling Algorithm for Phased Array Radar Based on Dynamic Three-way Decision. Sensors. 20 (1). https://doi.org/10.3390/s20010153

Intelligent Flight Control of Combat Aircraft Based on Autoencoder
Li, B., Gao, P., Liang, S. and Chen, D. (2019). Intelligent Flight Control of Combat Aircraft Based on Autoencoder. 2019 The 4th International Conference on Robotics, Control and Automation. GuangZhou 26 - 28 Jul 2019 https://doi.org/10.1145/3351180.3351210

Skin Capacitive Imaging Analysis Using Deep Learning GoogLeNet
Zhang, X., Pan, W., Bontozoglou, C., Chirikhina, E., Chen, D. and Xiao, P. (2019). Skin Capacitive Imaging Analysis Using Deep Learning GoogLeNet. Computing Conference 2020. London, UK 16 - 17 Jul 2019 Springer.

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 https://doi.org/10.1007/978-3-030-33904-3_16

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.

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

Decoder-Encoder LSTM for Lip Reading
Fenghour, S., Chen, D. and Xiao, P. (2019). Decoder-Encoder LSTM for Lip Reading. Proceedings of the 2019 8th International Conference on Software and Information Engineering. https://doi.org/10.1145/3328833.3328845

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

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. https://doi.org/10.3969/j.issn.1001-506X.2019.05.13

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

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 IEEE. https://doi.org/10.1109/ITME.2019.00150

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.

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

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. https://doi.org/10.1016/j.ijar.2017.08.009

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

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

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

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.

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 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IHMSC.2016.55

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

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 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICPR.2016.7900204

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 Royal Statistical Society .

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 Atlantis Press. https://doi.org/10.2991/icaiees-13.2013.22

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. https://doi.org/10.1057/dbm.2012.17

Developing Phoneme-based Lip-reading Sentences System for Silent Speech Recognition
El Bialy, R., Chen, D., Fenghour, S., Hussein, W., Xiao, P., Karam, O. H. and Li, B. (2022). Developing Phoneme-based Lip-reading Sentences System for Silent Speech Recognition. CAAI Transactions on Intelligence Technology. https://doi.org/10.1049/cit2.12131

UAV target tracking method based on deep reinforcement learning
Zhang, H., He, P., zhang, M., Chen, D., Neretin, E. and Li, B. (2022). UAV target tracking method based on deep reinforcement learning. 2022 International Conference on Cyber-physical Social Intelligence. Nanjing, China 21 - 24 Oct 2022

Understanding Cancer Patients with Diagnostically Influential Factors using High Dimensional Data Embedding
Syed, A. S., Hajderanj, L., Guo, K. and Chen, D. (2022). Understanding Cancer Patients with Diagnostically Influential Factors using High Dimensional Data Embedding. in: Imoize, A. L., Hemanth, D. J., Do, D.-T. and Sur, S. N. (ed.) Explainable Artificial Intelligence in Medical Decision Support Systems The Institution of Engineering and Technology (IET).

An effective context-focused hierarchical mechanism for task-oriented dialogue response generation
Zhao, M., Wang, L., Jiang, Z., Li, R., Lu, X., Hu, Z. and Chen, D. (2022). An effective context-focused hierarchical mechanism for task-oriented dialogue response generation. Computational Intelligence. 38 (5), pp. 1831-1858. https://doi.org/10.1111/coin.12544

Viseme Embeddings For Commonly Confused Words In Lip-Reading
Fenghour, S., Chen, D., Guo, K. and Xiao, P. (2022). Viseme Embeddings For Commonly Confused Words In Lip-Reading. 7th International Conference on Big Data Analytics, Data Mining and Computational Intelligence. Lisbon 20 - 22 Jul 2022