Dr Thin Nguyen

STAFF PROFILE

Position

Senior Research Fellow

Faculty

Applied Artificial Intel Inst

Department

A2I2P

Campus

Geelong Waurn Ponds Campus

Publications

Filter by

2021

The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge

Vu Pham, Xiaomei Li, Buu Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Le

(2021), Vol. 22, pp. 1-4, Briefings in bioinformatics, Oxford, Eng., C1-1

journal article

A graph-based approach for population health analysis using Geo-tagged tweets

H Nguyen, T Nguyen, D Nguyen

(2021), Vol. 80, pp. 7187-7204, Multimedia tools and applications, New York, N.Y., C1

journal article

Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus)

Thanh Nguyen, Pubudu Pathirana, Thin Nguyen, Quoc Nguyen, Asim Bhatti, Dinh Nguyen, Dung Nguyen, Ngoc Nguyen, Douglas Creighton, Mohamed Abdelrazek

(2021), Vol. 11, pp. 1-16, Scientific Reports, Berlin, Germany, C1

journal article

Graph convolutional networks for drug response prediction

T Nguyen, G Nguyen, T Nguyen, D Le

(2021), pp. 1-8, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Piscataway, N.J., C1

journal article

Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition

D Nguyen, D Nguyen, R Zeng, T Nguyen, S Tran, T Nguyen, S Sridharan, C Fookes

(2021), pp. 1-10, IEEE transactions on multimedia, Piscataway, N.J., C1

journal article

pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers

Vu Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory Goodall, Jiuyong Li, Thuc Le

(2021), pp. 1-8, Bioinformatics, Oxford, Eng., C1

journal article

PAN: personalized annotation-based networks for the prediction of breast cancer relapse

T Nguyen, S Lee, T Quinn, B Truong, X Li, T Tran, S Venkatesh, T Le

(2021), pp. 1-13, IEEE/ACM Transactions on computational biology and bioinformatics, Piscataway, N.J., C1

journal article

The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study

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

(2021), Vol. 16, pp. 1-17, PLoS One, San Francisco, Calif., C1

journal article
2020

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

(2020), Vol. 110, pp. 620-628, Future generation computer systems, Amsterdam, The Netherlands, C1

journal article

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

J Tanevski, T Nguyen, B Truong, N Karaiskos, M Ahsen, X Zhang, C Shu, K Xu, X Liang, Y Hu, H Pham, L Xiaomei, T Le, A Tarc, G Bhatti, R Romero, N Karathanasis, P Loher, Y Chen, Z Ouyang, D Mao, Y Zhang, M Zand, J Ruan, C Hafemeister, P Qiu, D Tran, T Nguyen, A Gabor, T Yu, J Guinney, E Glaab, R Krause, P Banda, G Stolovitzky, N Rajewsky, J Saez-Rodriguez, P Meyer

(2020), Vol. 3, pp. 1-13, Life science alliance, Cold Spring Harbor, N.Y., C1-1

journal article

GraphDTA: Predicting drug-target binding affinity with graph neural networks

Thin Nguyen, Hang Le, Thomas Quinn, Tri Nguyen, Thuc Le, Svetha Venkatesh

(2020), pp. 1-14, Bioinformatics, Oxford, Eng., C1-1

journal article

MrPC: causal structure learning in distributed systems

T Nguyen, D Nguyen, T Le, S Venkatesh

(2020), Vol. 1332, pp. 87-94, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing 2020, Online from Bangkok, Thailand, E1

conference

Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data

Junpeng Zhang, Thin Nguyen, Buu Truong, Lin Liu, Jiuyong Li, Thuc Le

(2020), pp. 395-409, ADMA 2020 : Advanced Data Mining and Applications 16th International Conference, ADMA 2020 Foshan, China, November 12–14, 2020 Proceedings, (Foshan, China), E1-1

conference
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 article

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 article

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 article

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 article

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), Vol. 46, pp. 5919-5930, Molecular Biology Reports, Berlin, Germany, C1

journal article

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 article

Estimating county health indices using graph neural networks

H Nguyen, D Nguyen, T Nguyen

(2019), Vol. 1127, pp. 64-76, AusDM 2019 : Proceedings of the 17th Australasian Data Mining Conference 2019, Adelaide, S. Aust., E1

conference

SPDF: set probabilistic distance features for prediction of population health outcomes via social media

H Nguyen, D Nguyen, T Nguyen

(2019), Vol. 1127, pp. 54-63, AusDM 2019 : Proceedings of the 17th Australasian Conference on Data Mining 2019, Adelaide, S. Aust., E1

conference
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 article

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 article

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

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

Variational Memory Encoder-Decoder

Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

(2018), Vol. [31], pp. 1515-1525, NeurIPS 2018 : Proceedings of the Advances in Neural Information Processing Systems Annual Conference, Montreal, Canada, 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 article

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 article

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 article

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 article

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

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 article

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

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

book chapter

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 article

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 article

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 article

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

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

book 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

book 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

book chapter

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 article

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 article

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 article

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 article

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
2012

Emotional reactions to real-world events in social networks

T Nguyen, D Phung, B Adams, S Venkatesh

(2012), Vol. 7104 LNAI, pp. 53-64, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

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 6th International AAAI Conference on Weblogs and Social Media, 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
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

Australian Competitive Grants

PRECIS: PRecision Evidence for Childhood obesity prevention InterventionS

Dr Melanie Nichols, A/Prof Kathryn Backholer, Prof Boyd Swinburn, Dr Victoria Brown, Dr Thin Nguyen, Prof Christina Economos

NHMRC - Ideas Grant

  • 2021: $242,054

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

Identification of Blood RNA Biomarkers to Measure Disease Progression in Parkinson's Disease.

A/Prof Sunil Gupta, Prof Svetha Venkatesh, Dr Thin Nguyen

  • 2021: $42,500
  • 2020: $42,500

Supervisions

Principal Supervisor
2020

Dinh Hung Nguyen

Thesis entitled: Machine Learning Approaches for Population Health Analytics through Social Media

Doctor of Philosophy (Information Technology), Applied Artificial Intel Ins

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