Dr Thin Nguyen

STAFF PROFILE

Position

Senior Research Fellow

Faculty

Applied Artificial Intel Inst

Department

A2I2P

Campus

Geelong Waurn Ponds Campus

Publications

Filter by

2019

Attentional multilabel learning over graphs: a message passing approach

K Do, T Tran, T Nguyen, S Venkatesh

(2019), Vol. 108, pp. 1757-1781, Machine Learning, C1

journal

Solving for X: evidence for sex-specific autism biomarkers across multiple transcriptomic studies

Samuel Lee, Thomas Quinn, Jerry Lai, Sek Kong, Irva Hertz-Picciotto, Stephen Glatt, Tamsyn Crowley, Svetha Venkatesh, Thin Nguyen

(2019), Vol. 180, pp. 337-389, American journal of medical genetics: part B neuropsychiatric genetics, Chichester, Eng., C1

journal

Improving the classification of neuropsychiatric conditions using gene ontology terms as features

Thomas Quinn, Samuel Lee, Svetha Venkatesh, Thin Nguyen

(2019), Vol. 180, pp. 508-518, American journal of medical genetics part b: neuropsychiatric genetics, Chichester, Eng., C1

journal

Cancer as a tissue anomaly: classifying tumor transcriptomes based only on healthy data

Thomas Quinn, Thin Nguyen, Samuel Lee, Svetha Venkatesh

(2019), Vol. 10, pp. 1-6, Frontiers in genetics, Lausanne, Switzerland, C1

journal

A cross-cancer metastasis signature in the microRNA-mRNA axis of paired tissue samples

Samuel Lee, Alistair Quinn, Thin Nguyen, Svetha Venkatesh, Thomas Quinn

(2019), pp. 1-12, Molecular Biology Reports, Berlin, Germany, C1

journal

An empirical study on prediction of population health through social media

Hung Nguyen, Thin Nguyen, Duc Nguyen

(2019), Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal
2018

Academia versus social media: a psycho-linguistic analysis

T Nguyen, S Venkatesh, D Phung

(2018), Vol. 25, pp. 228-237, Journal of computational science, Amsterdam, The Netherlands, C1

journal

Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices

T Nguyen, M Larsen, B O'Dea, H Nguyen, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen

(2018), pp. 1-9, Future generation computer systems, Amsterdam, The Netherlands, C1

journal

Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring

H Nguyen, S Maclagan, T Nguyen, T Nguyen, P Flemons, K Andrews, E Ritchie, D Phung

(2018), pp. 40-49, DSAA 2017 : Proceedings - 2017 International Conference on Data Science and Advanced Analytics, Tokyo Japan, E1

conference

Prescriptive analytics through constrained bayesian optimization

Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Kaimal Ramachandra, Svetha Venkatesh

(2018), Vol. 10937, pp. 335-347, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1

conference

Improving chamfer template matching using image segmentation

D Nguyen, N Vu, T Do, T Nguyen, J Yearwood

(2018), Vol. 25, pp. 1635-1639, IEEE signal processing letters, Piscataway, N.J., C1

journal

Variational Memory Encoder-Decoder

Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

(2018), Vol. 31, Advanced in Neural Information Processing Systems 31 (NIPS 2018), Montreal, Canada, E1

conference

Jointly predicting affective and mental health scores using deep neural networks of visual cues on the web

H Nguyen, V Nguyen, T Nguyen, M Larsen, B O Dea, D Nguyen, T Le, D Phung, S Venkatesh, H Christensen

(2018), Vol. 11234, pp. 100-110, WISE 2018 : Web Information Systems Engineering, Dubai, UAE, E1

conference

Differentially private prescriptive analytics

H Harikumar, S Rana, S Gupta, T Nguyen, R Kaimal, S Venkatesh

(2018), Vol. 2018-November, pp. 995-1000, ICDM 2018 : Proceedings of the IEEE International Conference on Data Mining, Singapore, E1

conference
2017

Using linguistic and topic analysis to classify sub-groups of online depression communities

T Nguyen, B O Dea, M Larsen, D Phung, S Venkatesh, H Christensen

(2017), Vol. 76, pp. 10653-10676, Multimedia tools and applications, Amsterdam, The Netherlands, C1-1

journal

Estimation of the prevalence of adverse drug reactions from social media

T Nguyen, M Larsen, B O'Dea, D Phung, S Venkatesh, H Christensen

(2017), Vol. 102, pp. 130-137, International journal of medical informatics, Amsterdam, The Netherlands, C1

journal

Kernel-based features for predicting population health indices from geocoded social media data

T Nguyen, M Larsen, B O'Dea, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen

(2017), Vol. 102, pp. 22-31, Decision Support Systems, Amsterdam, The Netherlands, C1

journal

Estimating support scores of autism communities in large-scale web information systems

T Nguyen, H Nguyen, S Venkatesh, D Phung

(2017), Vol. 10569, pp. 347-355, WISE 2017 : Proceedings of the 18th International Conference on Web Information Systems Engineering 2017, Puschino, Russia, E1

conference

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities

B Dao, T Nguyen, S Venkatesh, D Phung

(2017), Vol. 4, pp. 209-231, International journal of data science and analytics, Cham, Switzerland, C1

journal

Prediction of population health indices from social media using kernel-based textual and temporal features

T Nguyen, D Nguyen, M Larsen, B O'Dea, J Yearwood, Q Phung, S Venkatesh, H Christensen

(2017), pp. 99-107, WWW 2017 : Proceedings of the 26th International World Wide Web Conference 2017, Perth, W.A., E1

conference
2016

A framework for classifying online mental health related communities with an interest in depression

B Saha, T Nguyen, Q Phung, S Venkatesh

(2016), Vol. 20, pp. 1008-1015, IEEE journal of biomedical and health informatics, Piscatawy, N.J., C1

journal

Discovering latent affective dynamics among individuals in online mental health-related communities

B Dao, T Nguyen, S Venkatesh, D Phung

(2016), pp. 473-478, ICME 2016 : Proceedings of the IEEE Multimedia and Expo International Conference, Seattle, Washington, E1

conference

Discriminative cues for different stages of smoking cessation in online community

T Nguyen, R Borland, J Yearwood, H Yong, S Venkatesh, D Phung

(2016), Vol. LNCS 10042, pp. 146-153, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1

conference

Large-scale stylistic analysis of formality in academia and social media

T Nguyen, S Venkatesh, D Phung

(2016), Vol. LNCS 10042, pp. 137-145, WISE 2016 : Proceedings of the 17th International Conference on Web Information Systems Engineering, Shanghai, China, E1

conference

Extracting key challenges in achieving sobriety through shared subspace learning

H Harikumar, T Nguyen, S Rana, S Gupta, R Kaimal, S Venkatesh

(2016), Vol. 10086, pp. 420-433, ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Gold Coast, Queensland, E1

conference

Understanding behavioral differences between short and long-term drinking abstainers from social media

H Harikumar, T Nguyen, S Gupta, S Rana, R Kaimal, S Venkatesh

(2016), Vol. 10086, pp. 520-533, ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Gold Coast, Queensland, E1

conference

Textual cues for online depression in community and personal settings

T Nguyen, S Venkatesh, D Phung

(2016), Vol. 10086, pp. 19-34, ADMA 2016 : Proceedings of the Advanced Data Mining and Applications Conference, Gold Coast, Qld., E1

conference

Effect of social capital on emotion, language style and latent topics in online depression community

B Dao, T Nguyen, S Venkatesh, D Phung

(2016), pp. 61-66, RIVF 2016 : Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies Research, Innovation, and Vision for the Future, Hanoi, Vietnam, E1

conference
2015

Web search activity data accurately predict population chronic disease risk in the USA

T Nguyen, T Tran, W Luo, S Gupta, S Rana, Q Phung, M Nichols, L Millar, S Venkatesh, S Allender

(2015), Vol. 69, pp. 693-699, Journal of epidemiology and community health, London, Eng., C1

journal

Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset

W Luo, T Nguyen, M Nichols, T Tran, S Rana, S Gupta, Q Phung, S Venkatesh, S Allender

(2015), Vol. 10, pp. 1-13, PLoS One, San Francisco, Calif., C1

journal

Autism blogs: expressed emotion, language styles and concerns in personal and community settings

T Nguyen, T Duong, S Venkatesh, Q Phung

(2015), Vol. 6, pp. 312-323, IEEE transactions on affective computing, Piscataway, N.J., C1

journal

Differentiating sub-groups of online depression-related communities using textual cues

T Nguyen, B O Dea, M Larsen, Q Phung, S Venkatesh, H Christensen

(2015), Vol. 9419, pp. 216-224, Web Information Systems Engineering ? WISE 2015, New York, N.Y., B1

chapter

Exploiting feature relationships towards stable feature selection

I Kamkar, S Gupta, Q Phung, S Venkatesh

(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Paris, France, E1

conference
2014

Mood sensing from social media texts and its applications

T Nguyen, Q Phung, B Adams, S Venkatesh

(2014), Vol. 39, pp. 667-702, Knowledge and information systems, Berlin, Germany, C1

journal

Affective and content analysis of online depression communities

T Nguyen, D Phung, B Dao, S Venkatesh, M Berk

(2014), Vol. 5, pp. 217-226, IEEE Transactions on Affective Computing, Piscataway, N.J, C1

journal

iPoll: Automatic polling using online search

T Nguyen, D Phung, W Luo, T Tran, S Venkatesh

(2014), Vol. 8786, pp. 266-275, Web Information Systems Engineering ? WISE 2014, Berlin, Germany, B1

chapter

Effect of mood, social connectivity and age in online depression community via topic and linguistic analysis

B Dao, T Nguyen, D Phung, S Venkatesh

(2014), Vol. 8786, pp. 398-407, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

chapter

Affective, linguistic and topic patterns in online autism communities

T Nguyen, T Duong, D Phung, S Venkatesh

(2014), Vol. 8787, pp. 474-488, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1

chapter

Analysis of circadian rhythms from online communities of individuals with affective disorders

B Dao, T Nguyen, S Venkatesh, D Phung

(2014), pp. 463-469, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Shanghai, China, E1

conference
2013

Event extraction using behaviors of sentiment signals and burst structure in social media

T Nguyen, D Phung, B Adams, S Venkatesh

(2013), Vol. 37, pp. 279-304, Knowledge and information systems, London, England, C1

journal

Analysis of psycholinguistic processes and topics in online autism communities

T Nguyen, D Phung, S Venkatesh

(2013), Proceedings - IEEE International Conference on Multimedia and Expo, E1

conference

Online social capital : mood, topical and psycholinguistic analysis

T Nguyen, B Dao, D Phung, S Venkatesh, M Berk

(2013), pp. 449-456, ICWSM 2013 : Proceedings of the 7th AAAI International Conference on Weblogs and Social Media, Cambridge, Massachusetts, E1

conference

Connectivity, online social capital, and mood: A bayesian nonparametric analysis

D Phung, S Gupta, T Nguyen, S Venkatesh

(2013), Vol. 15, pp. 1316-1325, IEEE Transactions on Multimedia, C1

journal
2012

A sentiment-aware approach to community formation in social media

T Nguyen, D Phung, B Adams, S Venkatesh

(2012), pp. 527-530, ICWSM 2012 : Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, E1

conference
2011

Prediction of age, sentiment, and connectivity from social media text

T Nguyen, D Phung, B Adams, S Venkatesh

(2011), pp. 227-240, WISE 2011 : Web Information Systems Engineering : 12th International Conference, Sydney, Australia, October 13-14 2011 : proceedings, Sydney, New South Wales, E1-1

conference

Towards discovery of influence and personality traits through social link prediction

T Nguyen, D Phung, B Adams, S Venkatesh

(2011), pp. 566-569, ICWSM-11 : Proceedings of the 5th AAAI International Conference on Weblogs and Social Media, Barcelona, Spain, E1-1

conference

Emotional reactions to real-world events in social networks

T Nguyen, D Phung, B Adams, S Venkatesh

(2011), pp. 53-64, New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops, Shenzhen, China, E1-1

conference
2010

Hyper-community detection in the blogosphere

T Nguyen, D Phung, B Adams, T Tran, S Venkatesh

(2010), pp. 21-26, WSM'10 - Proceedings of the 2nd ACM SIGMM Workshop on Social Media, Co-located with ACM Multimedia 2010, E1-1

conference

Classification and pattern discovery of mood in weblogs

T Nguyen, D Phung, B Adams, T Tran, S Venkatesh

(2010), pp. 283-290, PAKDD 2010 : Advances in knowledge discovery and data mining : 14th Pacific-Asia Conference, Hydrabad, India, E1-1

conference

Funded Projects at Deakin

Industry and Other Funding

Improving mental health through social media

Dr Thin Nguyen, Prof Dinh Phung, Prof Svetha Venkatesh, Dr Bridianne O'Dea, Dr Mark Larsen, Prof Helen Christensen

  • 2017: $20,000
  • 2016: $20,000

Large-scale Neural Embedding

Prof Dinh Phung, Dr Thin Nguyen

  • 2017: $9,235

Supervisions

Principal Supervisor
2016

Bo Dao

Thesis entitled: Social Media as Sensor for Healthcare: A Machine Learning Approach

Doctor of Philosophy (Information Technology), School of Information Technology

Associate Supervisor
2018

Haripriya Harikumar

Thesis entitled: Machine learning to fight addiction using social media

Doctor of Philosophy (Information Technology), School of Information Technology