Thin Nguyen - RankMe

121 papers A* 12A 10B 5C 4Misc 2Journal 64Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Causal Activation Steering via Sparse Mediation. EACL (Findings) Toan Doan, Uyen Le, Thin Nguyen
2026	—	`conf`	Causal Direct Preference Optimization for Language Model Alignment. EACL (Findings) Uyen Le, Thin Nguyen, Toan Nguyen, Toan Doan, Trung Le, Bac Le
2026	J	`jnl`	Neural Autoregressive Flows for Markov Boundary Learning. CoRR Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen
2025	—	`conf`	Amortized Conditional Independence Testing. PAKDD (1) Bao Duong, Nu Hoang, Thin Nguyen
2025	J	`jnl`	Amortized Conditional Independence Testing. CoRR Bao Duong, Nu Hoang, Thin Nguyen
2025	—	`conf`	Bidirectional Diffusion Bridge Models. KDD (2) Duc Kieu, Kien Do, Toan Nguyen, Dang Nguyen, Thin Nguyen
2025	J	`jnl`	Bidirectional Diffusion Bridge Models. CoRR Duc Kieu, Kien Do, Nguyen Thanh Binh, Dang Nguyen, Thin Nguyen
2025	A*	`conf`	Causal Discovery via Bayesian Optimization. ICLR Bao Duong, Sunil Gupta, Thin Nguyen
2025	J	`jnl`	Causal Discovery via Bayesian Optimization. CoRR Bao Duong, Sunil Gupta, Thin Nguyen
2025	J	`jnl`	CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning. CoRR Minh Hoang Nguyen, Van Dai Do, Dung Nguyen, Thin Nguyen, Hung Le
2025	—	`conf`	Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee. PAKDD (3) Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen
2025	J	`jnl`	Clustering-based Meta Bayesian Optimization with Theoretical Guarantee. CoRR Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen
2025	A*	`conf`	Identifying Causal Direction via Variational Bayesian Compression. ICML Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2025	J	`jnl`	Identifying Causal Direction via Variational Bayesian Compression. CoRR Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2025	J	`jnl`	Integrative multi-omics framework for causal gene discovery in Long COVID. PLoS Comput. Biol. Sindy Pinero, Xiaomei Li, Lin Liu, Jiuyong Li, Sang Hong Lee, Marnie Winter, Thin Nguyen, Junpeng Zhang, Thuc Duy Le
2025	J	`jnl`	Leveraging Novel Ensemble Learning Techniques and Landsat Multispectral Data for Estimating Olive Yields in Tunisia. CoRR Mohamed Kefi, Tien Dat Pham, Thin Nguyen, Mark G. Tjoelker, Viola Devasirvatham, Kenichi Kashiwagi
2025	A*	`conf`	Neural Autoregressive Flows for Markov Boundary Learning. ICDM Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen
2025	J	`jnl`	Reinforcement Learning for Causal Discovery without Acyclicity Constraints. Trans. Mach. Learn. Res. Bao Duong, Hung Le, Biwei Huang, Thin Nguyen
2025	J	`jnl`	Universal Multi-Domain Translation via Diffusion Routers. CoRR Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, Thin Nguyen
2025	A*	`conf`	h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform. CVPR Toan Nguyen, Kien Do, Duc Kieu, Thin Nguyen
2025	J	`jnl`	h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform. CoRR Toan Nguyen, Kien Do, Duc Kieu, Thin Nguyen
2024	J	`jnl`	ALIAS: DAG Learning with Efficient Unconstrained Policies. CoRR Bao Duong, Hung Le, Thin Nguyen
2024	J	`jnl`	Class-incremental learning with causal relational replay. Expert Syst. Appl. Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
2024	J	`jnl`	Constraining acyclicity of differentiable Bayesian structure learning with topological ordering. Knowl. Inf. Syst. Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
2024	A	`conf`	Domain Generalisation via Risk Distribution Matching. WACV Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
2024	A	`conf`	Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. ECAI Nu Hoang, Bao Duong, Thin Nguyen
2024	J	`jnl`	Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. CoRR Nu Hoang, Bao Duong, Thin Nguyen
2024	A*	`conf`	Generating Realistic Tabular Data with Large Language Models. ICDM Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
2024	J	`jnl`	Generating Realistic Tabular Data with Large Language Models. CoRR Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
2024	J	`jnl`	Normalizing flows for conditional independence testing. Knowl. Inf. Syst. Bao Duong, Thin Nguyen
2024	A	`conf`	Robust Estimation of Causal Heteroscedastic Noise Models. SDM Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2024	A*	`conf`	Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
2024	A	`conf`	Scalable Variational Causal Discovery Unconstrained by Acyclicity. ECAI Nu Hoang, Bao Duong, Thin Nguyen
2024	J	`jnl`	Scalable Variational Causal Discovery Unconstrained by Acyclicity. CoRR Nu Hoang, Bao Duong, Thin Nguyen
2024	J	`jnl`	Variational Flow Models: Flowing in Your Style. CoRR Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
2023	A*	`conf`	Causal Inference via Style Transfer for Out-of-distribution Generalisation. KDD Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
2023	A*	`conf`	Diffeomorphic Information Neural Estimation. AAAI Bao Duong, Thin Nguyen
2023	A*	`conf`	Differentiable Bayesian Structure Learning with Acyclicity Assurance. ICDM Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
2023	J	`jnl`	Differentiable Bayesian Structure Learning with Acyclicity Assurance. CoRR Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
2023	J	`jnl`	Domain Generalisation via Risk Distribution Matching. CoRR Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
2023	J	`jnl`	Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples. IEEE ACM Trans. Comput. Biol. Bioinform. Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran
2023	A	`conf`	Heteroscedastic Causal Structure Learning. ECAI Bao Duong, Thin Nguyen
2023	J	`jnl`	Heteroscedastic Causal Structure Learning. CoRR Bao Duong, Thin Nguyen
2023	J	`jnl`	Learning to discover medicines. Int. J. Data Sci. Anal. Tri Minh Nguyen, Thin Nguyen, Truyen Tran
2023	J	`jnl`	Robust Estimation of Causal Heteroscedastic Noise Models. CoRR Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
2023	J	`jnl`	Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
2022	—	`conf`	Bivariate Causal Discovery via Conditional Divergence. CLeaR Bao Duong, Thin Nguyen
2022	B	`conf`	Causality-aided Recommendation Systems. IJCNN Tri Minh Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen
2022	A*	`conf`	Conditional Independence Testing via Latent Representation Learning. ICDM Bao Duong, Thin Nguyen
2022	J	`jnl`	Conditional Independence Testing via Latent Representation Learning. CoRR Bao Duong, Thin Nguyen
2022	J	`jnl`	Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. IEEE Trans. Multim. Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
2022	J	`jnl`	Diffeomorphic Information Neural Estimation. CoRR Bao Duong, Thin Nguyen
2022	—	`conf`	Efficient Classification with Counterfactual Reasoning and Active Learning. ACIIDS (1) Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
2022	J	`jnl`	Efficient Classification with Counterfactual Reasoning and Active Learning. CoRR Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
2022	J	`jnl`	Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. CoRR Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
2022	J	`jnl`	GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
2022	J	`jnl`	Graph Convolutional Networks for Drug Response Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Tuan Nguyen, Giang T. T. Nguyen, Thin Nguyen, Duc-Hau Le
2022	—	`conf`	Handling Missing Data with Markov Boundary. ADMA (1) Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen
2022	J	`jnl`	Learning to Discover Medicines. CoRR Tri Minh Nguyen, Thin Nguyen, Truyen Tran
2022	J	`jnl`	Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring. CoRR Tri Minh Nguyen, Thin Nguyen, Truyen Tran
2022	J	`jnl`	Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring. Briefings Bioinform. Tri Minh Nguyen, Thin Nguyen, Truyen Tran
2022	J	`jnl`	Prescriptive analytics with differential privacy. Int. J. Data Sci. Anal. Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
2021	J	`jnl`	A graph-based approach for population health analysis using Geo-tagged tweets. Multim. Tools Appl. Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen
2021	J	`jnl`	Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction. CoRR Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran
2021	J	`jnl`	GraphDTA: predicting drug-target binding affinity with graph neural networks. Bioinform. Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh
2021	J	`jnl`	PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le
2021	J	`jnl`	The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings Bioinform. Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le
2021	J	`jnl`	pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinform. Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le
2020	C	`conf`	Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. ADMA Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le
2020	J	`jnl`	Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition. CoRR Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
2020	J	`jnl`	GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. CoRR Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
2020	—	`conf`	MrPC: Causal Structure Learning in Distributed Systems. ICONIP (4) Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh
2020	J	`jnl`	Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Gener. Comput. Syst. Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Hung Nguyen, Duc Thanh Nguyen, John Yearwood, Dinh Quoc Phung, Svetha Venkatesh, Helen Christensen
2019	J	`jnl`	An empirical study on prediction of population health through social media. J. Biomed. Informatics Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen
2019	J	`jnl`	Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2019	Misc	`conf`	Estimating County Health Indices Using Graph Neural Networks. AusDM Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
2019	Misc	`conf`	SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. AusDM Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
2018	J	`jnl`	Academia versus social media: A psycho-linguistic analysis. J. Comput. Sci. Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2018	J	`jnl`	Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2018	A*	`conf`	Differentially Private Prescriptive Analytics. ICDM Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
2018	J	`jnl`	Improving Chamfer Template Matching Using Image Segmentation. IEEE Signal Process. Lett. Duc Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, John Yearwood
2018	—	`conf`	Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. WISE (2) Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2018	—	`conf`	Prescriptive Analytics Through Constrained Bayesian Optimization. PAKDD (1) Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
2018	J	`jnl`	The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content. CoRR Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen
2018	A*	`conf`	Variational Memory Encoder-Decoder. NeurIPS Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2018	J	`jnl`	Variational Memory Encoder-Decoder. CoRR Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2017	B	`conf`	Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring. DSAA Hung Nguyen, Sarah J. Maclagan, Tu Dinh Nguyen, Thin Nguyen, Paul Flemons, Kylie Andrews, Euan G. Ritchie, Dinh Q. Phung
2017	—	`conf`	Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems. WISE (1) Thin Nguyen, Nguyen Hung, Svetha Venkatesh, Dinh Q. Phung
2017	J	`jnl`	Estimation of the prevalence of adverse drug reactions from social media. Int. J. Medical Informatics Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2017	J	`jnl`	Kernel-based features for predicting population health indices from geocoded social media data. Decis. Support Syst. Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2017	J	`jnl`	Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities. Int. J. Data Sci. Anal. Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2017	—	`conf`	Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features. WWW (Companion Volume) Thin Nguyen, Duc Thanh Nguyen, Mark E. Larsen, Bridianne O'Dea, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2017	J	`jnl`	Using linguistic and topic analysis to classify sub-groups of online depression communities. Multim. Tools Appl. Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2016	J	`jnl`	A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. IEEE J. Biomed. Health Informatics Budhaditya Saha, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
2016	A	`conf`	Discovering latent affective dynamics among individuals in online mental health-related communities. ICME Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	—	`conf`	Discriminative Cues for Different Stages of Smoking Cessation in Online Community. WISE (2) Thin Nguyen, Ron Borland, John Yearwood, Hua-Hie Yong, Svetha Venkatesh, Dinh Q. Phung
2016	—	`conf`	Effect of social capital on emotion, language style and latent topics in online depression community. RIVF Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	C	`conf`	Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning. ADMA Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh
2016	—	`conf`	Large-Scale Stylistic Analysis of Formality in Academia and Social Media. WISE (2) Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	C	`conf`	Textual Cues for Online Depression in Community and Personal Settings. ADMA Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2016	C	`conf`	Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media. ADMA Haripriya Harikumar, Thin Nguyen, Sunil Gupta, Santu Rana, Ramachandra Kaimal, Svetha Venkatesh
2015	J	`jnl`	Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings. IEEE Trans. Affect. Comput. Thin Nguyen, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung
2015	—	`conf`	Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues. WISE (2) Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2015	B	`conf`	Nonparametric discovery of online mental health-related communities. DSAA Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2014	J	`jnl`	Affective and Content Analysis of Online Depression Communities. IEEE Trans. Affect. Comput. Thin Nguyen, Dinh Q. Phung, Bo Dao, Svetha Venkatesh, Michael Berk
2014	—	`conf`	Affective, Linguistic and Topic Patterns in Online Autism Communities. WISE (2) Thin Nguyen, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh
2014	B	`conf`	Analysis of circadian rhythms from online communities of individuals with affective disorders. DSAA Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
2014	—	`conf`	Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis. WISE (1) Bo Dao, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Mood sensing from social media texts and its applications. Knowl. Inf. Syst. Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2014	—	`conf`	iPoll: Automatic Polling Using Online Search. WISE (1) Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh
2013	A	`conf`	Analysis of psycholinguistic processes and topics in online autism communities. ICME Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
2013	J	`jnl`	Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis. IEEE Trans. Multim. Dinh Q. Phung, Sunil Kumar Gupta, Thin Nguyen, Svetha Venkatesh
2013	J	`jnl`	Event extraction using behaviors of sentiment signals and burst structure in social media. Knowl. Inf. Syst. Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2013	A	`conf`	Online Social Capital: Mood, Topical and Psycholinguistic Analysis. ICWSM Thin Nguyen, Bo Dao, Dinh Quoc Phung, Svetha Venkatesh, Michael Berk
2012	A	`conf`	A Sentiment-Aware Approach to Community Formation in Social Media. ICWSM Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2011	—	`conf`	Emotional Reactions to Real-World Events in Social Networks. PAKDD Workshops Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2011	B	`conf`	Prediction of Age, Sentiment, and Connectivity from Social Media Text. WISE Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2011	A	`conf`	Towards Discovery of Influence and Personality Traits through Social Link Prediction. ICWSM Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
2010	—	`conf`	Classification and Pattern Discovery of Mood in Weblogs. PAKDD (2) Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
2010	—	`conf`	Hyper-community detection in the blogosphere. WSM@MM Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
2010	—	`conf`	Mood Patterns and Affective Lexicon Access in Weblogs. ACL (Student Research Workshop) Thin Nguyen