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2020 – today
- 2024
[j30]Toan Nguyen
, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le:
Class-incremental learning with causal relational replay. Expert Syst. Appl. 250: 123901 (2024)- [j29]Bao Duong, Thin Nguyen:
Normalizing flows for conditional independence testing. Knowl. Inf. Syst. 66(1): 357-380 (2024) - [j28]Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering. Knowl. Inf. Syst. 66(9): 5605-5630 (2024) - [c47]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI 2024: 20508-20515 - [c46]Nu Hoang, Bao Duong, Thin Nguyen:
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. ECAI 2024: 2661-2668 - [c45]Nu Hoang, Bao Duong, Thin Nguyen:
Scalable Variational Causal Discovery Unconstrained by Acyclicity. ECAI 2024: 2685-2692 - [c44]Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen:
Robust Estimation of Causal Heteroscedastic Noise Models. SDM 2024: 788-796 - [c43]Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen:
Domain Generalisation via Risk Distribution Matching. WACV 2024: 2778-2787 - [i21]Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen:
Variational Flow Models: Flowing in Your Style. CoRR abs/2402.02977 (2024) - [i20]Nu Hoang, Bao Duong, Thin Nguyen:
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. CoRR abs/2407.04980 (2024) - [i19]Nu Hoang, Bao Duong, Thin Nguyen:
Scalable Variational Causal Discovery Unconstrained by Acyclicity. CoRR abs/2407.04992 (2024) - [i18]Bao Duong, Hung Le, Thin Nguyen:
ALIAS: DAG Learning with Efficient Unconstrained Policies. CoRR abs/2408.13448 (2024) - 2023
- [j27]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Learning to discover medicines. Int. J. Data Sci. Anal. 16(3): 301-316 (2023) - [j26]Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran:
Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1020-1029 (2023) - [c42]Bao Duong, Thin Nguyen:
Diffeomorphic Information Neural Estimation. AAAI 2023: 7468-7475 - [c41]Bao Duong, Thin Nguyen:
Heteroscedastic Causal Structure Learning. ECAI 2023: 598-605 - [c40]Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Differentiable Bayesian Structure Learning with Acyclicity Assurance. ICDM 2023: 598-607 - [c39]Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen:
Causal Inference via Style Transfer for Out-of-distribution Generalisation. KDD 2023: 1746-1757 - [i17]Bao Duong, Thin Nguyen:
Heteroscedastic Causal Structure Learning. CoRR abs/2307.07973 (2023) - [i16]Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Differentiable Bayesian Structure Learning with Acyclicity Assurance. CoRR abs/2309.01392 (2023) - [i15]Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen:
Domain Generalisation via Risk Distribution Matching. CoRR abs/2310.18598 (2023) - [i14]Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen:
Robust Estimation of Causal Heteroscedastic Noise Models. CoRR abs/2312.10102 (2023) - [i13]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR abs/2312.11818 (2023) - 2022
- [j25]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring. Briefings Bioinform. 23(4) (2022) - [j24]Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Prescriptive analytics with differential privacy. Int. J. Data Sci. Anal. 13(2): 123-138 (2022) - [j23]Tuan Nguyen, Giang T. T. Nguyen, Thin Nguyen, Duc-Hau Le:
Graph Convolutional Networks for Drug Response Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 146-154 (2022) - [j22]Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran:
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 718-728 (2022) - [j21]Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes:
Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. IEEE Trans. Multim. 24: 1313-1324 (2022) - [c38]Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen:
Efficient Classification with Counterfactual Reasoning and Active Learning. ACIIDS (1) 2022: 27-38 - [c37]Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen:
Handling Missing Data with Markov Boundary. ADMA (1) 2022: 319-333 - [c36]Bao Duong, Thin Nguyen:
Bivariate Causal Discovery via Conditional Divergence. CLeaR 2022: 236-252 - [c35]Bao Duong, Thin Nguyen:
Conditional Independence Testing via Latent Representation Learning. ICDM 2022: 121-130 - [c34]Tri Minh Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen:
Causality-aided Recommendation Systems. IJCNN 2022: 1-8 - [i12]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring. CoRR abs/2202.01195 (2022) - [i11]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Learning to Discover Medicines. CoRR abs/2202.07096 (2022) - [i10]Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen:
Efficient Classification with Counterfactual Reasoning and Active Learning. CoRR abs/2207.12086 (2022) - [i9]Bao Duong, Thin Nguyen:
Conditional Independence Testing via Latent Representation Learning. CoRR abs/2209.01547 (2022) - [i8]Bao Duong, Thin Nguyen:
Diffeomorphic Information Neural Estimation. CoRR abs/2211.10856 (2022) - [i7]Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen:
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. CoRR abs/2212.03063 (2022) - 2021
- [j20]Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le:
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings Bioinform. 22(3) (2021) - [j19]Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh:
GraphDTA: predicting drug-target binding affinity with graph neural networks. Bioinform. 37(8): 1140-1147 (2021) - [j18]Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le:
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinform. 37(19): 3285-3292 (2021) - [j17]Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen:
A graph-based approach for population health analysis using Geo-tagged tweets. Multim. Tools Appl. 80(5): 7187-7204 (2021) - [j16]Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le:
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2841-2847 (2021) - [i6]Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran:
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction. CoRR abs/2103.12983 (2021) - 2020
- [j15]Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Hung Nguyen, Duc Thanh Nguyen, John Yearwood, Dinh Quoc Phung, Svetha Venkatesh, Helen Christensen:
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Gener. Comput. Syst. 110: 620-628 (2020) - [c33]Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le:
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. ADMA 2020: 395-409 - [c32]Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh:
MrPC: Causal Structure Learning in Distributed Systems. ICONIP (4) 2020: 87-94 - [i5]Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes:
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition. CoRR abs/2004.13236 (2020) - [i4]Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran:
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. CoRR abs/2009.12146 (2020)
2010 – 2019
- 2019
- [j14]Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen:
An empirical study on prediction of population health through social media. J. Biomed. Informatics 99 (2019) - [j13]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. 108(10): 1757-1781 (2019) - [c31]Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen:
SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. AusDM 2019: 54-63 - [c30]Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen:
Estimating County Health Indices Using Graph Neural Networks. AusDM 2019: 64-76 - 2018
- [j12]Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Academia versus social media: A psycho-linguistic analysis. J. Comput. Sci. 25: 228-237 (2018) - [j11]Duc Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, John Yearwood:
Improving Chamfer Template Matching Using Image Segmentation. IEEE Signal Process. Lett. 25(11): 1635-1639 (2018) - [c29]Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Differentially Private Prescriptive Analytics. ICDM 2018: 995-1000 - [c28]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. NeurIPS 2018: 1515-1525 - [c27]Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Prescriptive Analytics Through Constrained Bayesian Optimization. PAKDD (1) 2018: 335-347 - [c26]Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. WISE (2) 2018: 100-110 - [d3]Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen:
The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content. Zenodo, 2018
- [d2]Thomas P. Quinn, Samuel C. Lee, Svetha Venkatesh, Thin Nguyen:
Improving the classification of neuropsychiatric conditions using gene ontology terms as features: Figure Data. Version 1. Zenodo, 2018 [all versions] - [d1]Thomas P. Quinn, Samuel C. Lee, Svetha Venkatesh, Thin Nguyen:
Improving the classification of neuropsychiatric conditions using gene ontology terms as features: Figure Data. Version 2. Zenodo, 2018 [all versions] - [i3]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR abs/1804.00293 (2018) - [i2]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. CoRR abs/1807.09950 (2018) - [i1]Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen:
The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content. CoRR abs/1811.02750 (2018) - 2017
- [j10]Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Kernel-based features for predicting population health indices from geocoded social media data. Decis. Support Syst. 102: 22-31 (2017) - [j9]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities. Int. J. Data Sci. Anal. 4(3): 209-231 (2017) - [j8]Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Estimation of the prevalence of adverse drug reactions from social media. Int. J. Medical Informatics 102: 130-137 (2017) - [j7]Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Using linguistic and topic analysis to classify sub-groups of online depression communities. Multim. Tools Appl. 76(8): 10653-10676 (2017) - [c25]Hung Nguyen, Sarah J. Maclagan, Tu Dinh Nguyen, Thin Nguyen, Paul Flemons, Kylie Andrews, Euan G. Ritchie, Dinh Q. Phung:
Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring. DSAA 2017: 40-49 - [c24]Thin Nguyen, Nguyen Hung, Svetha Venkatesh, Dinh Q. Phung:
Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems. WISE (1) 2017: 347-355 - [c23]Thin Nguyen, Duc Thanh Nguyen, Mark E. Larsen, Bridianne O'Dea, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features. WWW (Companion Volume) 2017: 99-107 - 2016
- [j6]Budhaditya Saha, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh:
A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. IEEE J. Biomed. Health Informatics 20(4): 1008-1015 (2016) - [c22]Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Textual Cues for Online Depression in Community and Personal Settings. ADMA 2016: 19-34 - [c21]Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh:
Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning. ADMA 2016: 420-433 - [c20]Haripriya Harikumar, Thin Nguyen, Sunil Gupta, Santu Rana, Ramachandra Kaimal, Svetha Venkatesh:
Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media. ADMA 2016: 520-533 - [c19]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Discovering latent affective dynamics among individuals in online mental health-related communities. ICME 2016: 1-6 - [c18]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Effect of social capital on emotion, language style and latent topics in online depression community. RIVF 2016: 61-66 - [c17]Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Large-Scale Stylistic Analysis of Formality in Academia and Social Media. WISE (2) 2016: 137-145 - [c16]Thin Nguyen, Ron Borland, John Yearwood, Hua-Hie Yong, Svetha Venkatesh, Dinh Q. Phung:
Discriminative Cues for Different Stages of Smoking Cessation in Online Community. WISE (2) 2016: 146-153 - 2015
- [j5]Thin Nguyen, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung:
Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings. IEEE Trans. Affect. Comput. 6(3): 312-323 (2015) - [c15]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Nonparametric discovery of online mental health-related communities. DSAA 2015: 1-10 - [c14]Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues. WISE (2) 2015: 216-224 - 2014
- [j4]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Mood sensing from social media texts and its applications. Knowl. Inf. Syst. 39(3): 667-702 (2014) - [j3]Thin Nguyen, Dinh Q. Phung, Bo Dao, Svetha Venkatesh, Michael Berk:
Affective and Content Analysis of Online Depression Communities. IEEE Trans. Affect. Comput. 5(3): 217-226 (2014) - [c13]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Analysis of circadian rhythms from online communities of individuals with affective disorders. DSAA 2014: 463-469 - [c12]Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh:
iPoll: Automatic Polling Using Online Search. WISE (1) 2014: 266-275 - [c11]Bo Dao, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis. WISE (1) 2014: 398-407 - [c10]Thin Nguyen, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh:
Affective, Linguistic and Topic Patterns in Online Autism Communities. WISE (2) 2014: 474-488 - 2013
- [j2]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Event extraction using behaviors of sentiment signals and burst structure in social media. Knowl. Inf. Syst. 37(2): 279-304 (2013) - [j1]Dinh Q. Phung, Sunil Kumar Gupta, Thin Nguyen, Svetha Venkatesh:
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis. IEEE Trans. Multim. 15(6): 1316-1325 (2013) - [c9]Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Analysis of psycholinguistic processes and topics in online autism communities. ICME 2013: 1-6 - [c8]Thin Nguyen, Bo Dao, Dinh Quoc Phung, Svetha Venkatesh, Michael Berk:
Online Social Capital: Mood, Topical and Psycholinguistic Analysis. ICWSM 2013 - 2012
- [c7]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
A Sentiment-Aware Approach to Community Formation in Social Media. ICWSM 2012 - 2011
- [c6]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Towards Discovery of Influence and Personality Traits through Social Link Prediction. ICWSM 2011 - [c5]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Emotional Reactions to Real-World Events in Social Networks. PAKDD Workshops 2011: 53-64 - [c4]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Prediction of Age, Sentiment, and Connectivity from Social Media Text. WISE 2011: 227-240 - 2010
- [c3]Thin Nguyen:
Mood Patterns and Affective Lexicon Access in Weblogs. ACL (Student Research Workshop) 2010: 43-48 - [c2]Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh:
Hyper-community detection in the blogosphere. WSM@MM 2010: 21-26 - [c1]Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh:
Classification and Pattern Discovery of Mood in Weblogs. PAKDD (2) 2010: 283-290
Coauthor Index
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