Publications

Google Scholar

Journals

1. Ai Jiang and Juan Ye (2024). SelfVis: Self-Supervised Learning for Human Activity Recognition based on Area Charts, IEEE Transactions on Emerging Topics in Computing. April 2024. 

2. Yaxiong Lei, Shijing He, Mohamed Khamis, and Juan Ye (2023). An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices. ACM Computing Survey. 

3. Martin Schiemer, Lei Fang, Simon Dobson, and Juan Ye (2023). Online Continual Learning for Human Activity Recognition. Aaccepted by Pervasive and Mobile Computing. June 2023.

4. Ai Jiang, Miguel Nacenta, and Juan Ye (2022). VisuaLizations As Intermediate Representations (VLAIR): An approach for applying deep learning-based computer vision to non-image-based data. Visual Informatics. 2022. 

5. Yuheng Wang, Juan Ye, and David Borchers (2022). Automated call detection for acoustic surveys with structured calls of varying length. Accepted by Methods in Ecology and Evolution, 30 Mar 2022. 

6. Andrea Rosales, Franco Zambonelli, Simon Dobson, and Juan Ye (2021). ContrasGAN: Unsupervised Domain Adaptation in Human ActivityRecognition via Adversarial and Contrastive Learning. Pervasive and Mobile Computing. Accepted on 7 Oct 2021.

7. Esma Mansouri Benssassi and Juan Ye (2021). Investigating Multisensory Integration in Emotion Recognition through Bio-inspired Computational Models. IEEE Transactions on Affective Computing. 2021. 

8. Gabriele Civitarese, Juan Ye, Matteo Zampattia, and Claudio Bettini (2021). Collaborative Activity Recognition with Heterogeneous Activity Sets and Privacy Preferences" is accepted by Journal of Ambient Intelligence and Smart Environments, 25 July 2021

9. Saurav Jha, Martin Schiemer, Franco Zambonelli, and Juan Ye (2021). Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis, accepted by Information Sciences. 2021.

10. Andrea Rosales, Franco Zambonelli, and Juan Ye (2021). Unsupervised Domain Adaptation in Activity Recognition: a GAN-based Approach. IEEE Access. 2021.

11. Juan Ye, Pakawat Nakwijit, Martin Schiemer, Saurav Jha, and Franco Zambonelli (2021). Continual Activity Recognition with Generative Adversarial Networks, ACM Transactions on Internet of Things, 2020. 

12. Esma Mansouri Benssassi and Juan Ye (2021). Generalisation and Robustness Investigation For Facial and Speech Emotion Recognition Using Bio-Inspired Spiking Neural Networks, Soft Computing, 2021. 

13. Juan Ye (2020). Shared learning activity labels across heterogeneous datasets, IOS Journal of Ambient Intelligence and Smart Environments, accepted on 30 Mar 2020.

14. Juan Ye and Elise Callus (2020).  Evolving Models for Incrementally Learning Emerging Activities, IOS Journal of Ambient Intelligence and Smart Environments, accepted on 30 Mar 2020.

15. Andrea Rosales and Juan Ye (2020). Unsupervised Domain Adaptation for Activity Recognition Across Heterogeneous Datasets, Pervasive and Mobile Computing. Accepted on 16 Feb 2020.

16. Juan Ye, Simon Dobson, and Franco Zambonelli (2020). XLearn: Learning Activity Labels Across Heterogeneous Datasets, ACM Transactions on Intelligent Systems and Technology.

17. Andrea Rosales, Thomas Kelsey, Simon Dobson, and Juan Ye (2019). Representation Learning for Minority and Subtle Activities in a Smart Home Environment.   IOS Journal of Ambient Intelligence and Smart Environments. 

18. Lei Fang, Juan Ye and Simon Dobson (2019). Discovery and recognition of emerging human activities by hierarchical mixture of directional statistical models. IEEE Transactions on Knowledge and Data Engineering. Mar 2019.

19. Juan Ye, Franco Zambonelli and Simon Dobson (2019). Lifelong learning in sensor-based human activity recognition. IEEE Pervasive Magazine. Apr 2019.

20. Sue Fletcher-Watson, Hanne De Jaegher, Jelle van Dijk, Chirstopher Frauenberger, Maurice Magnee and Juan Ye (2018). Diversity computing. ACM Interactions 25(5): 28-33. September-October 2018.

21. Esma Mansouri Benssassi, Juan-Carlos Gomez, LouAnne E. Boyd, Gillian R. Hayes, and Juan Ye (2018), Wearable assistive technologies for autism: opportunities and challenges. IEEE Pervasive Magazine's special issue on augmenting humans. 2018.

22. Juan Ye, Graeme Stevenson, and Simon Dobson (2016). Detecting Abnormal Events on Binary Sensors in Smart Home Environments. Pervasive and Mobile Computing, 2016. 

23. Simon Dobson, Mirko Viroli, José Luis Fernandez-Marquez, Franco Zambonelli, Graeme Stevenson, Giovanna di Marzo Serugendo, Sara Montagna, Danilo Pianini, Juan Ye, Gabriella Castelli and Alberto Rosi (2016). Spatial awareness in pervasive ecosystems. The Knowledge Engineering Review 31(4), pages 343–366. December 2016.

24. Juan Ye, Stamatia Dasiopoulou, Graeme Stevenson, Georgios Meditskos, Vasiliki Efstathiou, Simon Dobson, and Ioannis Kompatsiaris (2015). Semantic Web Technologies in Pervasive Computing: A Survey and Research Roadmap. Pervasive and Mobile Computing, 2015. Early online.

25. Franco Zambonelli, Andrea Omicini, Bernhard Anzengruber, Gabriella Castelli, Francesco DeAngelis, Giovanna di Marzo Serugendo, Simon Dobson, José-Luis Fernandez Marquez, Alois Ferscha, Marco Mamei, Stefano Mariani, Ambra Molesini, Sara Montagna, Jussi Nieminen, Danilo Pianini, Alberto Rosi, Graeme Stevenson, Mirko Viroli and Juan Ye (2015). Developing pervasive multiagent systems with nature-inspired co-ordination. Pervasive and Mobile Computing. 

26. Juan Ye, Graeme Stevenson, and Simon Dobson (2015). KCAR: A knowledge-driven approach for concurrent activity recognition. Pervasive and Mobile Computing, 2015.

27. Juan Ye, Graeme Stevenson, and Simon Dobson (2014). USMART: an Unsupervised Semantic Mining Activity Recognition Technique. ACM Trans. Interact. Intell. Syst, Volume 4 Issue 4, December 2014, Article No. 16.

28. Juan Ye, Graeme Steveson, Simon Dobson, Michael O'Grady, and Gregory O'Hare (2012). Perceiving and interpreting smart home datasets with PI. Journal of Ambient Intelligence and Humanized Computing: 1-13. Springer Berlin / Heidelberg. 

29. Juan Ye, Simon Dobson, and Susan McKeever (2012). Situation identification techniques in pervasive computing: A review. Pervasive Mob. Comput. 8, 1 (February 2012), 36-66.

30. Juan Ye, Graeme Stevenson and Simon Dobson (2011). A top-level ontology for smart environments. Pervasive and Mobile Computing. 7 (2011): 359-378.

31. Franco Zambonelli, Gabriella Castelli, Laura Ferrari, Marco Mamei, Alberto Rosi, Giovanna Di Marzo, Matteo Risoldi, Akla-Esso Tchao, Simon Dobson, Graeme Stevenson, Juan Ye, Elena Nardini, Andrea Omicini, Sara Montagna, Mirko Viroli, Alois Ferscha, Sascha Maschek, Bernhard Wally (2011). Self –aware Pervasive Service Ecosystems. Journal of Procedia Computer Science 7: 197-199. Elsevier.

32. Juan Ye and Simon Dobson (2010). Exploring Semantics Using Context Lattices. Journal of Ambient Intelligence and Smart Environments, 2(4): 389-407. 2010.

33. Susan McKeever, Juan Ye, Lorcan Coyle and Simon Dobson (2010). Activity reasoning using temporal evidence theory. Journal of Ambient Intelligence and Smart Environment, 2(3): 253-269. 2010. 

34. Graeme Stevenson, Juan Ye, and Simon Dobson (2010). Loc8: A transparently Extensible Framework for Programming with Location. IEEE Pervasive Computing Magazine, 9(1):28-37. March 2010.

35. Juan Ye, Lorcan Coyle, Simon Dobson, and Paddy Nixon (2008). Representing and Manipulating Situation Hierarchies using Situation Lattices. Journal of Revue d’Intelligence Artificielle 22(5), 2008.

36. Juan Ye, Lorcan Coyle, Simon Dobson, and Paddy Nixon (2007). Ontology-based Models in Pervasive Computing Systems. Knowledge Engineering Review 22 (04), pages 315-347. (Impact factor = 1.312)

37. Zhiyong Peng, Yanxiang He, Hui Luo, Mingxia Zhao, Yi Luo and Juan Ye (2002). Integrating various multi-databases based on object deputy model. Journal of Computer Science, 29(8), pages 256-258. August 2002.

Book Chapter

• Juan Ye, Adrian Clear, Lorcan Coyle, and Simon Dobson (2010). On Using Temporal Features to Create More Accurate Human-Activity Classifiers. In Artificial Intelligence and Cognitive Science, Lecture Notes in Computer Science (LNCS), Volume 6206,  Lorcan Coyle and Jill Freyne (ed), pp.273-282. Springer, 2010. (20th Irish Conference, AICS 2009, Dublin, Ireland, August 19-21, 2009, Revised Selected Papers).

• M.J. O'Grady, Juan Ye, G.M.P. O'Hare, Simon Dobson, R. Tynan, R.Collier, and C.Muldoon (2010). Implicit Interaction. In Instinctive Computing, Lecture Notes in Artificial Intelligence (LNAI), LNAI 5897, pages:143-161, Yang Cai (ed). Springer, 2010.

• Juan Ye, Simon Dobson and Paddy Nixon (2008). An overview of pervasive computing systems. In Augmented materials and smart objects, Kieran Delaney (ed). Volume 18 of Microsystems. Springer Verlag. 2008. ISBN 978-0-387-46293-9.

Main Conferences

1. Yaxiong Lei, Yuheng Wang, Tyler Caslin, Alexander Wisowaty, Xu Zhu, Mohamed Khamis, and Juan Ye (2023). DynamicRead: Exploring Robust Gaze Interaction Methods for Reading on Handheld Mobile Devices under Dynamic Conditions. ETRA'23. 

2. Lei Fang, Xiaoli Liu, Xiang Su, Juan Ye, Simon Dobson, Pan Hui, and Sasu Tarkoma (2020). Bayesian Inference Federated Learning for HeartRate Prediction, MobiHealth 2020. 

3. Ai Jiang, Miguel A. Nacenta, Kasim Terzic, and Juan Ye (2020). Visualization as Intermediate Representations (VLAIR) for Human Activity Recognition. PervasiveHealth, May 2020. New York, USA. 

4. Esma Mansouri-Benssassi and Juan Ye (2020). Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks.  AAAI 2020. New York, USA.

5. Lei Fang, Juan Ye and Simon Dobson (2019). Human Activity Mining with Dirichlet Process Mixtures of Conditionally-Independent von Mises Fisher Models. In DSAA' 19, Washington, USA.

6. Lei Fang, Juan Ye and Simon Dobson (2019). Distributed self-monitoring sensor networks via Markov switching dynamic linear models. In Proceedings of the Thirteenth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO'19). Umeå, SE. 2019. 

7. Esma Mansouri Benssassi and Juan Ye (2019). Speech Emotion Recognition With Early Visual Cross-Modal Enhancement Using Spiking Neural Networks. Accepted by IJCNN '19: the international conference on neural networks. July 14-19, 2019, Budapest, Hungary. 

8. Peter Haubrick and Juan Ye (2019). Robust Audio Sensing with Multi-Sound Classification. PerCom '19 (Acceptance rates: 30/181 = 16.6%). 

9. Andrea Rosales Sanabria, Thomas W. Kelsey, and Juan Ye (2019). Representation Learning for Minority and Subtle Activities in a Smart Home Environment. PerCom '19 (Acceptance rates: 30/181 = 16.6%).

10. Esma Mansouri Benssassi and Juan Ye (2018).   Bio-Inspired Spiking Neural Networks for Facial Expression Recognition: Generalisation Investigation.  TPNC'18: the 7th international conference on the theory and practice of natural computing.  December 12-14, 2018, Dublin, Ireland.

11. Juan Ye (2018). “SLearn: Share learning human activity labels across multiple datasets”. PerCom ‘18.

12. Yuchen Zhao, Juan Ye, and Tristan Henderson (2016). A robust reputation-based location-privacy recommender system using opportunistic networks. MobiCase'16. 

13. Yuchen Zhao, Juan Ye, and Tristan Henderson (2016). The effect of privacy concerns on privacy recommenders. IUI'16. 

14. Juan Ye, Graeme Stevenson, and Simon Dobson(2015). Fault Detection for Binary Sensors in Smart Home Environments. Percom, 2015. Accepted. (Acceptance rate = 15%, 29 out of 196). 

15. Yuchen Zhao, Juan Ye, and Tristan Henderson (2015). "Privacy-Aware Location Privacy Preference Recommendations", Proceedings of Mobiquitous 2014. (Acceptance rate = 19.3%, 31 out of 160).

16. Jose Luis Fernandez-Marquez, Giovanna Di Marzo Serugendo, Graeme Stevenson, Juan Ye, Simon Dobson and Franco Zambonelli (2014). Self-Management of Self-Organising Mobile Computing Applications: a Separation of Concerns approach. Proceedings of the 29th Annual ACM Symposium on Applied Computing. 2014.

17. Juan Ye and Graeme Stevenson (2013). Semantics-driven Multi-User Concurrent Activity Recognition. Proceedings of the International Conference on Ambient Intelligence. LN8309, pp.204-219, 3-5 December 2013, Dublin, IE.

18. Graeme Stevenson, Juan Ye, Simon Dobson, Mirko Viroli, Sara Montagna, and Danilo Pianini (2013). Combining self-organisation, context-awareness and semantic reasoning: the case of resource discovery in opportunistic networks. In Proceedings of the 28th ACM Symposium on Applied Computing. Coimbra, PT. March 2013. 

19. Juan Ye, Graeme Stevenson, Simon Dobson, Michael O'Grady and Gregory O'Hare (2011). PI: perceiver and interpreter of smart home datasets. In Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2011). Dublin, IE. May 2011. Nominated for Best Paper.

20. Susan McKeever, Juan Ye, Lorcan Coyle and Simon Dobson (2009). Using Dempster-Shafer Theory of Evidence for Situation Inference. In Proceedings of The 4th European Conference on Smart Sensing and Context (EuroSSC' 09). LNCS. Springer Verlag. Guidford, UK. 2009.

21. Juan Ye and Simon Dobson (2009). Human-Behaviour Study within Situation Lattices. 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC). TX, USA. 11-15 Oct, 2009.

22. Juan Ye, Lorcan Coyle, Simon Dobson, and Paddy Nixon (2009). Using Situation Lattices in Sensor Analysis. Percom 09: the 7th IEEE International Conference on Pervasive Computing and Communications.  (Acceptance rate: 32/202=15.8%)

23. Susan McKeever, Juan Ye, Lorcan Coyle and Simon Dobson (2009). A context quality model to support transparent reasoning with uncertain context. In Proceedings of the 1st International Workshop on Quality of Context (QuaCon' 09). LNCS. Springer Verlag. Stuttgart, DE. 2009. 

24. Juan Ye, Susan McKeever, Lorcan Coyle, Steve Neely, and Simon Dobson (2008). Resolving Uncertainty in Context Integration and Abstraction. International Conference of Pervasive Services (ICPS' 08). Sorrento, Italy. (Acceptance rate: 21%)

25. Juan Ye (2008). Using Situation Lattices to Model and Reason on Situations. Doctoral Colloquiumof Pervasive 2008. Sydney, Australia.

26. Susan McKeever, Juan Ye, Lorcan Coyle, and Simon Dobson (2008). A Multilayered Uncertainty Model for Context Aware Systems. Late Breaking Result of Pervasive 2008. Sydney, Australia.

27. Juan Ye, Lorcan Coyle, Simon Dobson, and Paddy Nixon (2007). A Unified Semantics Space Model. LoCA 2007, pages 103-120. Oberpfaffenhofen, Germany. Springer-Verlag. (Acceptance rate: 17/55=31%

28. Juan Ye and Zhiyong Peng (2004). A Squeak-based Educational Software – Happy Learning. In proceedings of the conference on Creating, Connecting and Collaborating through Computing. Japan

29. Zhiyong Peng, Kai Huang and Juan Ye (2003). Development of Smalltalk in China. In proceedings of the conference on Creating, Connecting and Collaborating through Computing. Japan.

Minor Conferences and Workshops

1. Martin Schiemer, Lei Fang, Simon Dobson and Juan Ye (2023). Online Continual Learning for Human Activity Recognition. MobiUK 2023. July 2023, Lancaster, UK.  

2. Yaxiong Lei, Shijing He, Huining Feng, Kaixing Zhao, Mohamed Khamis and Juan Ye (2023). Protecting Privacy in an Era of Pervasive Camera-Based Devices: Challenges and Potential Directions.  MobiUK 2023. July 2023, Lancaster, UK.  

3. Xiang Su, Ai Jiang, Jacky Cao, Wenxiao Zhang, Pan Hui, and Juan Ye (2022).  Enabling Continuous Object Recognition in Mobile Augmented Reality. Accepted by IUI Poster and Demo, 2022.

4. Saurav Jha , Martin Schiemer, and Juan Ye (2020). "Continual Learning in Human Activity Recognition: An empirical analysis of Regularization". ICML Continual Learning Workshop 2020. 

5. Juan Ye, Lei Fang, and Simon Dobson (2016). "Discovery and Recognition of Unknown Activities". Proceedings of the 4th international workshop on human activity sensing corpus and applications: towards open-ended context awareness, co-hosted with UbiComp 2016. September, 2016.

6. Laura Murray, Ross Goutcher, Philip Hands, and Juan Ye (2016). "Capturing Social Cues with Imaging Glasses". Proceedings of the international workshop on BodySenseUX, co-hosted with UbiComp 2016. September, 2016. 

7. Juan Ye and Thomas Eddie (2016). "Are mobile phones driving us apart", Presentation at the conference on Emerging priorities in mental health and addiction: the Virtual World, Ageing and Migration. St Andrews, Scotland, 3rd June 2016. 

8. Juan Ye, Thomas Morrell, and Lauren Murray (2016). "Real-time Emotion Detection Technologies for Potential Health Applications", Presentation at the conference on Emerging priorities in mental health and addiction: the Virtual World, Ageing and Migration. St Andrews, Scotland, 3rd June 2016. 

9. Thomas Eddie, Juan Ye, and Graeme Stevenson (2015). "Are our mobile phones driving us apart? Divert attention from mobile phones back to physical conversation", Proceedings of the International Workshop on Intelligent Attention Management on Mobile Devices, cohosted with MobileHCI 2015. Copenhagen, Denmark, 24th August 2015. 

10. Juan Ye, Graeme Stevenson, and Simon Dobson(2015). “Using Temporal Correlation and Time Series to Detect Missing Activity-Driven Sensor Events" has been accepted by CoMoRea (collocated with Percom 2015). 

11. Yuchen Zhao, Juan Ye, and Tristan Henderson (2014). "Recommending Location Privacy Preferences in Ubiquitous Computing", Proceedings of ACM WiSec 2014. 

12. Graeme Stevenson, Gabriella Castelli, Juan Ye, Alberto Rossi, and Simon Dobson and Franco Zambonelli (2013). A bio-chemically inspired approach to awareness in pervasive systems. In Proceedings of First International Workshop on Sensing and Big Data Mining (SenseMine 2013). Rome, IT. November 2013.

13. Jose Luis Fernandez-Marquez, Graeme Stevenson, Akla-Esso Tchao, Juan Ye, Giovanna di Marzo Serugendo and Simon Dobson (2012). Analysis of new gradient based aggregation algorithms for data-propagation in distributed networks. In Proceedings of the First International Workshop on Adaptive Service Ecosystems: Nature and Socially Inspired Solutions (ASENSIS'12). Lyons, FR. 2012.

14. Graeme Stevenson, Mirko Viroli, Juan Ye, Sara Montagna and Simon Dobson (2012). Self-organising semantic resource discovery for pervasive systems. In Proceedings of the First International Workshop on Adaptive Service Ecosystems: Nature and Socially Inspired Solutions (ASENSIS'12). Lyons, FR. 2012.

15. Graeme Stevenson, Jose Luis Fernandez-Marquez, Sara Montagna, Alberto Rosi, Juan Ye, Giovanna di Marzo Serugendo, Mirko Viroli, Simon Dobson and Akla-Esso Tchao (2012). Towards situated awareness in urban networks: a bio-inspired approach. In Proceedings of the First International Workshop on Adaptive Service Ecosystems: Nature and Socially Inspired Solutions (ASENSIS'12). Lyons, FR. 2012.

16. Alberto Rosi, Simon Dobson, Marco Mamei, Graeme Stevenson, Juan Ye and Franco Zambonelli (2011). Social sensors and pervasive services: approaches and perspectives. In Proceedings of the Second IEEE Workshop on Pervasive Collaboration and Social Networking (PerCol 2011). IEEE Press. Seattle, WA. 2011. To appear.

17. Juan Ye, Lorcan Coyle, Susan McKeever, and Simon Dobson (2010). Dealing with activities with diffuse boundaries. Proceedings of Pervasive 2010 workshop on How to do good activity recognition research? Experimental methodologies, evaluation metrics, and reproducibility issues . Helsinki, Finland. May 17-21, 2010. 

18. Graeme Stevenson, Juan Ye, and Simon Dobson (2010). On the Impact of the Temporal Features of Sensed Data on the Development of Pervasive Systems. Proceedings of Pervasive 2010 workshop on Programming Methods for Mobile and Pervasive Systems (PMMPS). Helsinki, Finland. May 17-21, 2010. 

19. Juan Ye, Adrian Clear, Lorcan Coyle, and Simon Dobson (2009). On using temporal semantics to create more accurate human-activity classifiers. Proceedings of 20th Irish Conference on Artificial Intelligence and Cognitive Science, pages 274-283. Dublin, Ireland. August 19-21, 2009.

20. Michael O'Grady, Juan Ye, G.M.P. O'Hare, Simon Dobson, Richard Tynan and Connor Muldoon (2010). Implicit Interaction. In Proceedings of the International Workshop on Instinctive Computing. Volume 5987 of Lecture Notes in Artificial Intelligence. Springer Verlag. Pittsburgh, PA. 2010.

21. Lorcan Coyle, Juan Ye, Susan McKeever, Stephen Knox, Matthew Stabeler, Simon Dobson and Paddy Nixon (2009).Gathering Datasets for Activity Identification. Workshop on Developing Shared Home Behaviour Datasets to Advance HCI and Uniquitous Computing Research at CHI 2009.

22. Lorcan Coyle, Juan Ye, Emerson Loureiro, Stephen Knox, Simon Dobson, and Paddy Nixon (2007). A Proposed Approach to Evaluate the Accuracy of Tag-based Location Systems. In proceedings of the workshop on Ubiquitous Systems Evaluation. Innsbruck, Austria.

23. Juan Ye, Lorcan Coyle, Simon Dobson and Paddy Nixon (2007). Using Situation Lattices to Model and Reason about Context. In proceedings of the Fourth International Workshop Modeling and Reasoning in Context (MRC 2007). Roskilde, Denmark.

24. Adrian K. Clear, Stephen Knox, Juan Ye, Lorcan Coyle, Simon Dobson and Paddy Nixon (2006). Integrating Multiple Contexts and Ontologies in a Pervasive Computing Environment. In proceedings of the workshop on Contexts and Ontologies: Theory, Practice and Applications. Riva Del Garda, Italy. 

25. Simon Dobson and Juan Ye (2006). Using Fibrations for Situation Identification. In proceedings of Pervasive 2006 workshops. Dublin, Ireland.

26. Juan Ye, Zhiyong Peng, Hui Zhang and Kun Jin (2003). The Design and Implementation of Object Deputy Model in Smalltalk. In proceedings of the China National Computer Conference.

27. Juan Ye, Zhen Wang and Zhiyong Peng (2003). Extension of ODMG with Deputy Class. In proceedings of the China National Computer Conference.

Magazine

• G. Stevenson, J. Ye, S. Dobson, M. Viroli, J. L. Fernandez-Marquez, and F. Zambonelli (2013). Towards dynamic and decentralised situation awareness inSAPERE. Newsletter of the Awareness Proactive Initiative, vol. 8, pp. 8-9, 2013.

• Juan Ye and Simon Dobson (2012). Pervasive computing needs better situation-awareness. Awareness Magazine, Jan 2012.

Thesis

• Juan Ye (2009). Exploiting Semantics with Situation Lattices in Pervasive Computing. PhD Thesis, School of Computer Science and Informatics, University College Dublin, Ireland. 

• Juan Ye (2005). Research on Software Reuse Technology Based on Object Deputy Mechanism in Squeak Environment. Master Thesis, State key Lab of Software Engineering, Wuhan University, China.

Invited Talk

1. Juan Ye (2023). Elastic Neural Network For Continual Learning. Building Interdisciplinary Solutions to Modern Ecological Challenges, June 2023.

2. Juan Ye (2021). Unsupervised domain adaptation for sensor data, at CREEM, St Andrews, 1 Dec 2021.

3. Juan Ye (2020). "Unsupervised domain adaptation for human activity recognition" at Centre for Mobile, Wearable Systems and Augmented Intelligence at Cambridge, 23 Nov 2020. [link]

4. Juan Ye (2019). Lifelong learning in sensor-based human activity recognition. Keynote talk at ARDUOUS: 3rd International Workshop on Annotation of useR Data for UbiquitOUs Systems (Kristina Yordanova, Adeline Paiement, Emma Tonkin), hosted at PerCom '19, Kyoto, Japan, 11 Mar 2019.

5. Juan Ye (2019). Lifelong learning in human activity recognition. IEEE SMC Webinar. 1 Feb 2019.

6. Juan Ye (2018). New emerging activity recognition at the UK-China Doctoral Academic Forum, December 2018. 

7. Juan Ye (2018). Lifelong learning in sensor-based human activity recognition in the School of Computer Science and Mathematics. Heriot-Watt University, November 2018. 

8. Juan Ye (2017). Knowledge-driven activity recognition at the EU ACROSS training event held at De Montfort University, June 2017.

9.  Juan Ye (2017). Sensor-based human activity recognition at the school of Computing Science and Mathematics at the University of Stirling. 5th May 2017.

10. Juan Ye (2016). New challenges and research trend in human activity recognition, Keynote at ECAAS, co-hosted with MDM'16, Porto, Portugal, 16th June 2016.

11. Juan Ye, Lauren Murray, and Thomas Morrell (2016). Emotion detection on the move. Invited talk in the School of Computer Science at the University of Glasgow, April 2016. 

12. Juan Ye (2016). Inferring human behaviours from temporal sensor data using various machine learning approaches. Invited talk at the Bioinformatics workshop, hosted in the School of Medicine, St Andrews, January, 2016. 

13. Juan Ye (2014). Whale behaviour analysis. Invited talk at the MOCHA workshop, St Andrews, December 2014.

14. Simon Dobson and Juan Ye (2011). Sensor and sense-ability: building systems in the face of uncertainty. Edinburgh, UK.Invited talk for the Edinburgh Branch of the British Computer Society.

15. Simon Dobson and Juan Ye (2010). Sensor and sense-abilty: building systems in the face of uncertainty. Invited talk to the School of Computing, University of Dundee UK.

16. Simon Dobson and Juan Ye (2006). A simple semantic model for adaptive pervasive systems. 2006. Invited talk to the Department of Computer Science, University of Leicester UK.