| 2026 | ACL | SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning. | Van Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le |
| 2025 | AAAI | Multi-Reference Preference Optimization for Large Language Models. | Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh |
| 2025 | ACL | Dynamic Steering With Episodic Memory For Large Language Models. | Van Dai Do, Quan Hung Tran, Svetha Venkatesh, Hung Le |
| 2025 | ICDM | Score-Based Integrated Gradient for Root Cause Explanations of Outliers. | Phuoc Nguyen, Truyen Tran, Sunil Gupta, Svetha Venkatesh |
| 2025 | ICDM | Federated Domain Generalization with Latent Space Inversion. | Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Svetha Venkatesh, Sunil Gupta |
| 2025 | ICLR | Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. | Hung Le, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh |
| 2025 | IJCAI | Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2025 | PAKDD | Defense Against Multi-target Multi-trigger Backdoor Attacks. | Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh |
| 2025 | WACV | Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains. | Ragja Palakkadavath, Hung Le, Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh |
| 2024 | AAAI | Root Cause Explanation of Outliers under Noisy Mechanisms. | Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh |
| 2024 | ACCV | Revisiting Sample Weights Based Method for Noisy-Label Detection and Classification. | Tuan Hoang, Hung Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2024 | ECAI | Revisiting the Dataset Bias Problem from a Statistical Perspective. | Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh |
| 2024 | ECAI | Large Language Model Prompting with Episodic Memory. | Dai Do, Quan Tran, Svetha Venkatesh, Hung Le |
| 2024 | ICDM | Generating Realistic Tabular Data with Large Language Models. | Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh |
| 2024 | ICPR | Composite Concept Extraction Through Backdooring. | Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana |
| 2024 | IJCAI | Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2024 | WACV | Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. | Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2023 | AAAI | On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. | Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora |
| 2023 | AAAI | Memory-Augmented Theory of Mind Network. | Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | ACML | Domain Generalization with Interpolation Robustness. | Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta |
| 2023 | ICCV | Multi-weather Image Restoration via Domain Translation. | Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh, Subrahmanyam Murala |
| 2023 | ICCV | Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. | Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2023 | ICML | Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space. | Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2023 | IJCAI | Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. | Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | WACV | Guiding Visual Question Answering with Attention Priors. | Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2023 | SP | TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. | Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh |
| 2022 | AAAI | Episodic Policy Gradient Training. | Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh |
| 2022 | AAAI | TRF: Learning Kernels with Tuned Random Features. | Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh |
| 2022 | AISTATS | Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. | Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2022 | CVPR | Persistent-Transient Duality in Human Behavior Modeling. | Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2022 | ECCV | Towards Effective and Robust Neural Trojan Defenses via Input Filtering. | Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh |
| 2022 | ECCV | Black-Box Few-Shot Knowledge Distillation. | Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh |
| 2022 | ECCV | Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions. | Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2022 | ICLR | Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. | Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh |
| 2022 | ICLR | Generative Pseudo-Inverse Memory. | Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh |
| 2022 | ICML | Neurocoder: General-Purpose Computation Using Stored Neural Programs. | Hung Le, Svetha Venkatesh |
| 2022 | ICPR | Fast Model-based Policy Search for Universal Policy Networks. | Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh |
| 2022 | ICPR | Uncertainty Aware System Identification with Universal Policies. | Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh |
| 2022 | ICPR | Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. | Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh |
| 2022 | PAKDD | Real-Time Skill Discovery in Intelligent Virtual Assistants. | Preeti Gopal, Sunil Gupta, Santu Rana, Vuong Le, Trong Nguyen, Svetha Venkatesh |
| 2021 | AAAI | Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2021 | AAAI | High Dimensional Level Set Estimation with Bayesian Neural Network. | Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2021 | AAAI | Distributional Reinforcement Learning via Moment Matching. | Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh |
| 2021 | CVPR | Learning Asynchronous and Sparse Human-Object Interaction in Videos. | Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2021 | ICCV | Clustering by Maximizing Mutual Information Across Views. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2021 | ICML | A New Representation of Successor Features for Transfer across Dissimilar Environments. | Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2021 | ICML | Bayesian Optimistic Optimisation with Exponentially Decaying Regret. | Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2021 | PAKDD | Sparse Spectrum Gaussian Process for Bayesian Optimization. | Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2020 | AAAI | Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. | Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh |
| 2020 | AAAI | Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. | Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2020 | ACML | Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. | Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran |
| 2020 | AISTATS | Distributionally Robust Bayesian Quadrature Optimization. | Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh |
| 2020 | AISTATS | Accelerated Bayesian Optimisation through Weight-Prior Tuning. | Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak |
| 2020 | BMVC | Learning to Abstract and Predict Human Actions. | Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh |
| 2020 | CVPR | Hierarchical Conditional Relation Networks for Video Question Answering. | Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2020 | ICLR | Neural Stored-program Memory. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2020 | ICML | Self-Attentive Associative Memory. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2020 | ICML | DeepCoDA: personalized interpretability for compositional health data. | Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2020 | ICONIP | MrPC: Causal Structure Learning in Distributed Systems. | Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh |
| 2020 | ICPR | Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling. | Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh |
| 2020 | IJCAI | Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation. | Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2020 | IJCAI | Dynamic Language Binding in Relational Visual Reasoning. | Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2020 | IJCNN | Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. | Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh |
| 2020 | IJCNN | Neural Reasoning, Fast and Slow, for Video Question Answering. | Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2020 | PAKDD | Level Set Estimation with Search Space Warping. | Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2019 | AAAI | Bayesian Functional Optimisation with Shape Prior. | Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh |
| 2019 | CVPR | Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. | Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh |
| 2019 | ICCV | Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. | Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel |
| 2019 | ICDM | Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations. | Vu Nguyen, Sunil Gupta, Santu Rana, My T. Thai, Cheng Li, Svetha Venkatesh |
| 2019 | ICLR | Learning to Remember More with Less Memorization. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2019 | ICLR | Improving Generalization and Stability of Generative Adversarial Networks. | Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh |
| 2019 | KDD | Graph Transformation Policy Network for Chemical Reaction Prediction. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2019 | PRICAI | Explaining Black-Box Models Using Interpretable Surrogates. | Deepthi Praveenlal Kuttichira, Sunil Gupta, Cheng Li, Santu Rana, Svetha Venkatesh |
| 2019 | SDM | Incomplete Conditional Density Estimation for Fast Materials Discovery. | Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh |
| 2018 | AISTATS | Exploiting Strategy-Space Diversity for Batch Bayesian Optimization. | Sunil Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh |
| 2018 | ICDM | Accelerating Experimental Design by Incorporating Experimenter Hunches. | Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson |
| 2018 | ICDM | Differentially Private Prescriptive Analytics. | Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh |
| 2018 | ICPR | Expected Hypervolume Improvement with Constraints. | Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2018 | ICPR | Knowledge Graph Embedding with Multiple Relation Projections. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2018 | ICPR | Graph Memory Networks for Molecular Activity Prediction. | Trang Pham, Truyen Tran, Svetha Venkatesh |
| 2018 | IJCNN | Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. | Phuoc Nguyen, Truyen Tran, Svetha Venkatesh |
| 2018 | KDD | Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2018 | PAKDD | Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. | Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh |
| 2018 | PAKDD | Prescriptive Analytics Through Constrained Bayesian Optimization. | Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh |
| 2018 | PAKDD | Dual Control Memory Augmented Neural Networks for Treatment Recommendations. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2018 | PAKDD | A Privacy Preserving Bayesian Optimization with High Efficiency. | Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2018 | PRICAI | Selecting Optimal Source for Transfer Learning in Bayesian Optimisation. | Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2018 | PRICAI | Efficient Bayesian Optimisation Using Derivative Meta-model. | Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2018 | UAI | Multi-Target Optimisation via Bayesian Optimisation and Linear Programming. | Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2018 | WISE | Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. | 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 | SDM | Learning Graph Representation via Frequent Subgraphs. | Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2017 | AAAI | Column Networks for Collective Classification. | Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2017 | ACML | Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. | Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh |
| 2017 | AISTATS | Regret Bounds for Transfer Learning in Bayesian Optimisation. | Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2017 | ICDM | Bayesian Optimization in Weakly Specified Search Space. | Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh |
| 2017 | ICML | High Dimensional Bayesian Optimization with Elastic Gaussian Process. | Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh |
| 2017 | IJCAI | High Dimensional Bayesian Optimization using Dropout. | Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton |
| 2017 | IJCAI | Deep Learning to Attend to Risk in ICU. | Phuoc Nguyen, Truyen Tran, Svetha Venkatesh |
| 2017 | PAKDD | Stable Bayesian Optimization. | Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2017 | PAKDD | Energy-Based Localized Anomaly Detection in Video Surveillance. | Hung Vu, Tu Dinh Nguyen, Anthony Travers, Svetha Venkatesh, Dinh Q. Phung |
| 2017 | WWW | Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features. | Thin Nguyen, Duc Thanh Nguyen, Mark E. Larsen, Bridianne O'Dea, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen |
| 2017 | WISE | Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems. | Thin Nguyen, Nguyen Hung, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | ACML | A Bayesian Nonparametric Approach for Multi-label Classification. | Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh |
| 2016 | ADMA | Outlier Detection on Mixed-Type Data: An Energy-Based Approach. | Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | ADMA | Stabilizing Linear Prediction Models Using Autoencoder. | Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | ADMA | Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media. | Haripriya Harikumar, Thin Nguyen, Sunil Gupta, Santu Rana, Ramachandra Kaimal, Svetha Venkatesh |
| 2016 | ADMA | Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning. | Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh |
| 2016 | ADMA | Textual Cues for Online Depression in Community and Personal Settings. | Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | DSAA | Analysing the History of Autism Spectrum Disorder Using Topic Models. | Adham Beykikhoshk, Dinh Q. Phung, Ognjen Arandjelovic, Svetha Venkatesh |
| 2016 | DSAA | Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. | Nguyen Thanh Binh, Vu Nguyen, Nguyen Cong Thuong, Svetha Venkatesh, Mohan Kumar, Dinh Q. Phung |
| 2016 | ICDM | One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems. | Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | ICDM | Budgeted Batch Bayesian Optimization. | Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh |
| 2016 | ICPR | Hyperparameter tuning for big data using Bayesian optimisation. | Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2016 | ICPR | Stable clinical prediction using graph support vector machines. | Iman Kamkar, Sunil Gupta, Cheng Li, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | ICPR | Multiple adverse effects prediction in longitudinal cancer treatment. | Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, David Ashely, Trish Livingston |
| 2016 | ICPR | MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data. | Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | ICPR | Faster training of very deep networks via p-norm gates. | Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | ICPR | Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model. | Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | ICPR | Bayesian nonparametric Multiple Instance Regression. | Saravanan Subramanian, Santu Rana, Sunil Gupta, Palaniappan Bagavathi Sivakumar, C. Shunmuga Velayutham, Svetha Venkatesh |
| 2016 | IJCNN | Achieving stable subspace clustering by post-processing generic clustering results. | Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh |
| 2016 | OZCHI | Computer assisted autism interventions for India. | Pratibha Vellanki, Stewart Greenhill, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh, Jayashree Godwin, Krishnaveni Achary, Blessin Varkey |
| 2016 | PAKDD | Flexible Transfer Learning Framework for Bayesian Optimisation. | Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh |
| 2016 | PAKDD | Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework. | Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung |
| 2016 | PAKDD | Privacy Aware K-Means Clustering with High Utility. | Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2016 | PAKDD | Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes. | Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | PAKDD | DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. | Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | PAKDD | Neural Choice by Elimination via Highway Networks. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | UAI | Scalable Nonparametric Bayesian Multilevel Clustering. | Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui |
| 2016 | WISE | Discriminative Cues for Different Stages of Smoking Cessation in Online Community. | Thin Nguyen, Ron Borland, John Yearwood, Hua-Hie Yong, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | WISE | Large-Scale Stylistic Analysis of Formality in Academia and Social Media. | Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2015 | AAAI | Tensor-Variate Restricted Boltzmann Machines. | Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | ACML | Streaming Variational Inference for Dirichlet Process Mixtures. | Viet Huynh, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | DICTA | Multi-View Subspace Clustering for Face Images. | Xin Zhang, Dinh Q. Phung, Svetha Venkatesh, Duc-Son Pham, Wanquan Liu |
| 2015 | DSAA | Nonparametric discovery of online mental health-related communities. | Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2015 | DSAA | Exploiting feature relationships towards stable feature selection. | Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | DSAA | Improved risk predictions via sparse imputation of patient conditions in electronic medical records. | Budhaditya Saha, Sunil Gupta, Svetha Venkatesh |
| 2015 | ICDM | Differentially Private Random Forest with High Utility. | Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh |
| 2015 | IJCAI | Groupwise Registration of Aerial Images. | Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh |
| 2015 | IJCNN | The adaptable buffer algorithm for high quantile estimation in non-stationary data streams. | Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh |
| 2015 | PAKDD | Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature. | Adham Beykikhoshk, Ognjen Arandjelovic, Svetha Venkatesh, Dinh Q. Phung |
| 2015 | PAKDD | Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records. | Shivapratap Gopakumar, Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | PAKDD | Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning. | Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | PAKDD | Learning Conditional Latent Structures from Multiple Data Sources. | Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui |
| 2015 | PAKDD | Fast One-Class Support Vector Machine for Novelty Detection. | Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh |
| 2015 | PAKDD | Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints. | Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | PAKDD | A Bayesian Nonparametric Approach to Multilevel Regression. | Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui |
| 2015 | PAKDD | Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. | Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh |
| 2015 | PAKDD | Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines. | Pratibha Vellanki, Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh |
| 2015 | WACV | Visual Object Clustering via Mixed-Norm Regularization. | Xin Zhang, Duc-Son Pham, Dinh Q. Phung, Wanquan Liu, Budhaditya Saha, Svetha Venkatesh |
| 2015 | WISE | Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues. | Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen |
| 2015 | SDM | What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships. | Sunil Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh |
| 2014 | DSAA | Analysis of circadian rhythms from online communities of individuals with affective disorders. | Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2014 | DSAA | Individualized arrhythmia detection with ECG signals from wearable devices. | Nguyen Thanh Binh, Wei Luo, Terry Caelli, Svetha Venkatesh, Dinh Q. Phung |
| 2014 | ICML | Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. | Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui |
| 2014 | ICONIP | Stream Quantiles via Maximal Entropy Histograms. | Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh |
| 2014 | ICPR | Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models. | Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh |
| 2014 | ICPR | A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data. | Nguyen Cong Thuong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung |
| 2014 | ICPR | Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data. | Pratibha Vellanki, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung |
| 2014 | MUM | Unsupervised inference of significant locations from WiFi data for understanding human dynamics. | Nguyen Thanh Binh, Nguyen Cong Thuong, Wei Luo, Svetha Venkatesh, Dinh Q. Phung |
| 2014 | PAKDD | Intervention-Driven Predictive Framework for Modeling Healthcare Data. | Santu Rana, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2014 | PERCOM | Fixed-lag particle filter for continuous context discovery using Indian Buffet Process. | Nguyen Cong Thuong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung |
| 2014 | WISE | Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis. | Bo Dao, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh |
| 2014 | WISE | Affective, Linguistic and Topic Patterns in Online Autism Communities. | Thin Nguyen, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh |
| 2014 | WISE | iPoll: Automatic Polling Using Online Search. | Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh |
| 2014 | SDM | Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions. | Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | ACML | Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine. | Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | CHI | TOBY: early intervention in autism through technology. | Svetha Venkatesh, Dinh Q. Phung, Thi V. Duong, Stewart Greenhill, Brett Adams |
| 2013 | ICML | Factorial Multi-Task Learning : A Bayesian Nonparametric Approach. | Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | ICML | Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | ICONIP | Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification. | Tien-Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | ICWSM | Online Social Capital: Mood, Topical and Psycholinguistic Analysis. | Thin Nguyen, Bo Dao, Dinh Quoc Phung, Svetha Venkatesh, Michael Berk |
| 2013 | KDD | An integrated framework for suicide risk prediction. | Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh |
| 2013 | PAKDD | Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine. | Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | PAKDD | Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes. | Santu Rana, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | PAKDD | Clustering Patient Medical Records via Sparse Subspace Representation. | Budhaditya Saha, Duc-Son Pham, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | PERCOM | Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes. | Nguyen Cong Thuong, Dinh Q. Phung, Sunil Gupta, Svetha Venkatesh |
| 2013 | SDM | Sparse Subspace Clustering via Group Sparse Coding. | Duc-Son Pham, Dinh Q. Phung, Budhaditya Saha, Svetha Venkatesh |
| 2012 | AAAI | A Sequential Decision Approach to Ordinal Preferences in Recommender Systems. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | CVPR | Improved subspace clustering via exploitation of spatial constraints. | Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | FUSION | Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | ICDM | Sparse Subspace Representation for Spectral Document Clustering. | Budhaditya Saha, Dinh Q. Phung, Duc-Son Pham, Svetha Venkatesh |
| 2012 | ICPR | A nonparametric Bayesian Poisson gamma model for count data. | Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | ICPR | Multi-modal abnormality detection in video with unknown data segmentation. | Tien-Vu Nguyen, Dinh Q. Phung, Santu Rana, Duc-Son Pham, Svetha Venkatesh |
| 2012 | ICPR | Optimal metric selection for improved multi-pose face recognition with group information. | Xin Zhang, Due-Son Pharn, Wanquan Liu, Svetha Venkatesh |
| 2012 | ICWSM | A Sentiment-Aware Approach to Community Formation in Social Media. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2012 | UAI | A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning. | Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | SDM | A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources. | Sunil Kumar Gupta, Dinh Quoc Phung, Svetha Venkatesh |
| 2011 | CHI | A context-sensitive device to help people with autism cope with anxiety. | Marziya Mohammedali, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2011 | CVPR | Efficient subwindow search with submodular score functions. | Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh |
| 2011 | ICDM | Detection of Cross-Channel Anomalies from Multiple Data Channels. | Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh |
| 2011 | ICWSM | Towards Discovery of Influence and Personality Traits through Social Link Prediction. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2011 | PAKDD | A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources. | Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2011 | PAKDD | Emotional Reactions to Real-World Events in Social Networks. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2011 | WISE | Prediction of Age, Sentiment, and Connectivity from Social Media Text. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2011 | SDM | Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2010 | CVPR | Exploiting Monge structures in optimum subwindow search. | Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh, Xiaoming Chen |
| 2010 | ICARCV | A unified 2D-3D video scene change detection framework for mobile camera platforms. | Wilson S. Leoputra, Tele Tan, Svetha Venkatesh |
| 2010 | ICPR | Multi-class Pattern Classification in Imbalanced Data. | Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West |
| 2010 | ICPR | A Fast Extension for Sparse Representation on Robust Face Recognition. | Huining Qiu, Duc-Son Pham, Svetha Venkatesh, Wanquan Liu, Jian-Huang Lai |
| 2010 | KDD | Nonnegative shared subspace learning and its application to social media retrieval. | Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh |
| 2010 | PAKDD | Classification and Pattern Discovery of Mood in Weblogs. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh |
| 2010 | UIC | A Smartphone-Based Obstacle Sensor for the Visually Impaired. | En Peng, Patrick Peursum, Ling Li, Svetha Venkatesh |
| 2009 | AVSS | Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. | Thorsten Khnapfel, Tele Tan, Svetha Venkatesh, Burkhard Igel |
| 2009 | CVPR | Efficient algorithms for subwindow search in object detection and localization. | Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh |
| 2009 | ICASSP | Comparative evaluation of pedestrian detection methods for mobile bus surveillance. | Wilson S. Leoputra, Svetha Venkatesh, Tele Tan |
| 2009 | ICDM | Effective Anomaly Detection in Sensor Networks Data Streams. | Budhaditya Saha, Duc-Son Pham, Mihai M. Lazarescu, Svetha Venkatesh |
| 2009 | PERCOM | High Accuracy Context Recovery using Clustering Mechanisms. | Dinh Q. Phung, Brett Adams, Kha Tran, Svetha Venkatesh, Mohan Kumar |
| 2009 | UAI | Ordinal Boltzmann Machines for Collaborative Filtering. | Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh |
| 2008 | AAAI | The Hidden Permutation Model and Location-Based Activity Recognition. | Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh, Hai Phan |
| 2008 | AusDM | Indoor Location Prediction Using Multiple Wireless Received Signal Strengths. | Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2008 | CVPR | Exploiting side information in locality preserving projection. | Senjian An, Wanquan Liu, Svetha Venkatesh |
| 2008 | CVPR | Robust learning of discriminative projection for multicategory classification on the Stiefel manifold. | Duc-Son Pham, Svetha Venkatesh |
| 2008 | CVPR | Joint learning and dictionary construction for pattern recognition. | Duc-Son Pham, Svetha Venkatesh |
| 2008 | CVPR | Recognising faces in unseen modes: A tensor based approach. | Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh |
| 2008 | ICARCV | Passenger monitoring in moving bus video. | Wilson S. Leoputra, Svetha Venkatesh, Tele Tan |
| 2008 | ICARCV | Pedestrian detection for mobile bus surveillance. | Wilson S. Leoputra, Svetha Venkatesh, Tele Tan |
| 2008 | ICIP | Model-based character recognition in low resolution. | Annika Kuhl, Tele Tan, Svetha Venkatesh |
| 2008 | ICPR | Learning in imbalanced relational data. | Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West |
| 2008 | ICPR | Model-based combined tracking and resolution enhancement. | Annika Kuhl, Tele Tan, Svetha Venkatesh |
| 2008 | ICPR | Adaptive speech enhancement with varying noise backgrounds. | Thorsten Khnapfel, Tele Tan, Svetha Venkatesh, Sven E. Nordholm, Burkhard Igel |
| 2008 | ICPR | Context aware privacy in visual surveillance. | Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West |
| 2008 | ICPR | Ridge Regression for Two Dimensional Locality Preserving Projection. | Nam Thanh Nguyen, Wanquan Liu, Svetha Venkatesh |
| 2008 | ICPR | Boosting performance for 2D Linear Discriminant Analysis via regression. | Nam Nguyen, Wanquan Liu, Svetha Venkatesh |
| 2008 | ICPR | Efficient tensor based face recognition. | Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh |
| 2008 | IUI | Temporal semantic compression for video browsing. | Brett Adams, Stewart Greenhill, Svetha Venkatesh |
| 2008 | PRICAI | Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition. | Tran The Truyen, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh |
| 2008 | PRICAI | Constrained Sequence Classification for Lexical Disambiguation. | Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh |
| 2008 | WWW | Computable social patterns from sparse sensor data. | Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2007 | AusDM | Preference Networks: Probabilistic Models for Recommendation Systems. | Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh |
| 2007 | CVPR | Face Recognition Using Kernel Ridge Regression. | Senjian An, Wanquan Liu, Svetha Venkatesh |
| 2007 | CVPR | Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis. | Patrick Peursum, Svetha Venkatesh, Geoff A. W. West |
| 2007 | ICASSP | Calibration of Audio-Video Sensors for Multi-Modal Event Indexing. | Thorsten Khnapfel, Tele Tan, Svetha Venkatesh, Eric A. Lehmann |
| 2007 | ICDM | Infrequent Item Mining in Multiple Data Streams. | Budhaditya Saha, Mihai M. Lazarescu, Svetha Venkatesh |
| 2007 | IJCAI | Face Recognition via the Overlapping Energy Histogram. | Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh |
| 2007 | MMM | Utility-Based Summarization of Home Videos. | Ba Tu Truong, Svetha Venkatesh |
| 2007 | MMM | Linking Identities and Viewpoints in Home Movies Based on Robust Feature Matching. | Ba Tu Truong, Svetha Venkatesh |
| 2006 | AVSS | A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition. | Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu |
| 2006 | BMVC | Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association. | Nam Thanh Nguyen, Svetha Venkatesh, Hung Bui |
| 2006 | CVPR | AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition. | Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui |
| 2006 | ICPR | Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation. | Senjian An, Wanquan Liu, Svetha Venkatesh |
| 2006 | ICPR | Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model. | Thi V. Duong, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh |
| 2006 | ICPR | Unifying Background Models over Complex Audio using Entropy. | Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West |
| 2006 | ICPR | Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects. | Patrick Peursum, Svetha Venkatesh, Geoff A. W. West |
| 2006 | MMM | Narrative structure detection through audio pace. | Simon Moncrieff, Svetha Venkatesh |
| 2005 | BMVC | Discovery of Activity Structures using the Hierarchical Hidden Markov Model. | Nam Nguyen, Svetha Venkatesh |
| 2005 | COMPSAC | A Probabilistic Approach to the Anxious Home for Activity Monitoring. | Geoff A. W. West, Stewart Greenhill, Svetha Venkatesh |
| 2005 | CVPR | Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model. | Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh |
| 2005 | CVPR | Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models. | Nam Thanh Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Bui |
| 2005 | ICCV | Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views. | Patrick Peursum, Geoff A. W. West, Svetha Venkatesh |
| 2005 | ICMLA | Fast cross-validation of kernel Fisher discriminant classifiers. | Senjian An, Wanquan Liu, Svetha Venkatesh |
| 2004 | AAAI | Learning Hierarchical Hidden Markov Models with General State Hierarchy. | Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh |
| 2004 | ICIP | Automatically learning structural units in educational videos with the hierarchical hidden markov models. | Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui |
| 2004 | ICPR | Human Action Segmentation via Controlled Use of Missing Data in HMMs. | Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West |
| 2004 | MMM | Taming the roving camera: A framework for creating professional home movies through narrative and cinesthetic elements. | Brett Adams, Svetha Venkatesh |
| 2004 | MMM | Segmentation of Intentional Human Gestures for Sports Video Annotation. | Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui |
| 2004 | MMM | Discovering Semantics from Visualizations of Film Takes. | Ba Tu Truong, Svetha Venkatesh, Chitra Dorai |
| 2004 | PRICAI | Adaptive Model for Foreground Extraction in Adverse Lighting Conditions. | Stewart Greenhill, Svetha Venkatesh, Geoff A. W. West |
| 2004 | PRICAI | Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity. | Sebastian Lhr, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui |
| 2004 | PRICAI | Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton. | Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West |
| 2004 | SSPR | Automatic Labeling of Sports Video Using Umpire Gesture Recognition. | Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West |
| 2004 | SSPR | Learning People Movement Model from Multiple Cameras for Behaviour Recognition. | Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui |
| 2004 | SSPR | Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models. | Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh |
| 2003 | CVPR | Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments. | Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West |
| 2003 | PERCOM | Recognition of Human Activity through Hierarchical Stochastic Learning. | Sebastian Lhr, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West |
| 2003 | PERCOM | Object Labelling from Human Action Recognition. | Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui |
| 2002 | ICPR | Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation. | Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui |
| 2002 | ICPR | Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras. | Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui |
| 2002 | ICPR | Narrative Structure Analysis with Education and Training Videos for E-Learning. | Dinh Quoc Phung, Chitra Dorai, Svetha Venkatesh |
| 2002 | ICPR | Temporal PDMs for Gait Classification. | Ezra Tassone, Geoff A. W. West, Svetha Venkatesh |
| 2002 | ICPR | Neighborhood Coherence and Edge Based Approaches to Film Scene Extraction. | Ba Tu Truong, Svetha Venkatesh, Chitra Dorai |
| 2002 | WoWMoM | A cooperative cache architecture in support of caching multimedia objects in MANETs. | W. H. O. Lau, Mohan Kumar, Svetha Venkatesh |
| 2002 | SSPR | An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression. | Mihai M. Lazarescu, Andrew Turpin, Svetha Venkatesh |
| 2002 | SSPR | Comparing Shape and Temporal PDMs. | Ezra Tassone, Geoff A. W. West, Svetha Venkatesh |
| 2000 | AAAI | On the Recognition of Abstract Markov Policies. | Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West |
| 2000 | ICIP | Novel Approach to Determining Tempo and Dramatic Story Sections in Motion Pictures. | Brett Adams, Chitra Dorai, Svetha Venkatesh |
| 2000 | ICIP | Improved Fade and Dissolve Detection for Reliable Video Segmentation. | Ba Tu Truong, Chitra Dorai, Svetha Venkatesh |
| 2000 | ICMI | Determining Motion Components Using the Point Distribution Model. | Ezra Tassone, Geoff A. W. West, Svetha Venkatesh |
| 2000 | ICPR | A Probabilistic Framework for Tracking in Wide-Area Environments. | Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West |
| 2000 | ICPR | On the Incremental Learning and Recognition of the Pattern of Movement of Multiple Labeled Objects in Dynamic Scenes. | Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West |
| 2000 | ICPR | Automatic Genre Identification for Content-Based Video Categorization. | Ba Tu Truong, Svetha Venkatesh, Chitra Dorai |
| 2000 | KDD | Incorporating Domain Knowledge with Video and Voice Data Analysis in News Broadcasts. | Kim Shearer, Chitra Dorai, Svetha Venkatesh |
| 2000 | WoWMoM | Performance modelling of speculative prefetching for compound requests in low bandwidth networks. | Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh |
| 2000 | SSPR | Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques. | Mihai M. Lazarescu, Horst Bunke, Svetha Venkatesh |
| 1999 | CVPR | Low-Cost Interactive Active Monocular Range Finder. | Masahiro Takatsuka, Geoff A. W. West, Svetha Venkatesh, Terry Caelli |
| 1999 | ICDAR | Symbolic Representation and Distributed Matching Strategies for Schematics. | Masahiro Takatsuka, Terry Caelli, Geoff A. W. West, Svetha Venkatesh |
| 1999 | IJCNN | An empirical study of neighbourhood decay in Kohonen's self organising map. | Russell Keith-Magee, Svetha Venkatesh, Masahiro Takatsuka |
| 1998 | ICPR | Classifying and detecting group behaviour from visual surveillance data. | Robin Hosie, Svetha Venkatesh, Geoff A. W. West |
| 1998 | ICPR | Combining NL processing and video data to query American Football. | Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West, Terry Caelli |
| 1998 | ICPR | An efficient least common subgraph algorithm for video indexing. | Kim Shearer, Svetha Venkatesh, Horst Bunke |
| 1998 | ICPR | An insect-based approach to robotic homing. | Keven Weber, Svetha Venkatesh, Mandyam V. Srinivasan |
| 1998 | WoWMoM | Investigation of a Prefetch Model for Low Bandwidth Networks. | Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh |
| 1996 | AAAI | Learning other Agents' Preferences in Multiagent Negotiation. | Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh |
| 1996 | HiPC | A distributed directory scheme for information access in mobile computers. | Mohan Kumar, Svetha Venkatesh, Sethuraman Panchanathan |
| 1996 | ICPR | Resolution consideration in spatially variant sensors. | Fee-Lee Lim, Svetha Venkatesh, Geoff A. W. West |
| 1996 | ICPR | Tracking in a space variant active vision system. | Fee-Lee Lim, Geoff A. W. West, Svetha Venkatesh |
| 1996 | ICPR | Insect inspired behaviours for the autonomous control of mobile robots. | Keven Weber, Svetha Venkatesh, Mandyam V. Srinivasan |
| 1994 | CVPR | Emerging hypothesis verification using function-based geometric models and active vision strategies. | Chiou Peng Lam, Geoff A. W. West, Svetha Venkatesh |
| 1992 | ICPR | Local energy, the pre-envelope, and filter resolution. | Svetha Venkatesh, James W. Cooper, Brian White |
| 1991 | CVPR | Early jump-out corner detectors. | James W. Cooper, Svetha Venkatesh, Leslie J. Kitchen |
| 1991 | IJCAI | A Unified Formalism for Landmark-Based Representation of Maps and Navigation Plans. | Svetha Venkatesh, Dorota H. Kieronska |