| 2026 | AAAI | Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models. | Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey |
| 2025 | CaiSE | Process Model Forecasting Using Deep Temporal Learning. | Wenjun Zhou, Artem Polyvyanyy, James Bailey |
| 2025 | CIKM | ExplorAct: Context-Aware Next Action Recommendations for Interactive Data Exploration. | Dinuka Manohara de Zoysa, James Bailey, Renata Borovica-Gajic |
| 2025 | CVPR | Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition. | Anqi Zhu, Jingmin Zhu, James Bailey, Mingming Gong, Qiuhong Ke |
| 2025 | EDBT | Learned Indexes with Distribution Smoothing via Virtual Points. | Kasun Amarasinghe, Farhana Choudhury, Jianzhong Qi, James Bailey |
| 2025 | ICLR | Detecting Backdoor Samples in Contrastive Language Image Pretraining. | Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey |
| 2025 | ICML | X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP. | Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey |
| 2025 | KDD | Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting. | Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey |
| 2025 | SISAP | Intrinsic Dimension, Degrees of Freedom, Odds and Uniformity: A Unified Perspective. | James Bailey, Ricardo J. G. B. Campello, Michael E. Houle |
| 2024 | CaiSE | Event Data and Process Model Forecasting. | Wenjun Zhou, Artem Polyvyanyy, James Bailey |
| 2024 | CVPR | Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT. | Miguel Ortiz del Castillo, Jonathan Morgan, Jack McRobbie, Clint Therakam, Zaher Joukhadar, Robert Mearns, Simon Barraclough, Richard O. Sinnott, Andrew Woods, Chris Bayliss, Krista A. Ehinger, Benjamin I. P. Rubinstein, James Bailey, Airlie Chapman, Michele Trenti |
| 2024 | CVPR | Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition. | Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey |
| 2024 | ICLR | LDReg: Local Dimensionality Regularized Self-Supervised Learning. | Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey |
| 2024 | ICML | Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models. | Jinhao Li, Haopeng Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu |
| 2024 | IJCNN | Time Series Representation Learning with Supervised Contrastive Temporal Transformer. | Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey |
| 2024 | PAKDD | Unlearnable Examples for Time Series. | Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey |
| 2024 | SDM | Dimensionality-Aware Outlier Detection. | Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek |
| 2024 | SDM | Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. | Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey |
| 2024 | SDM | Training Sparse Graph Neural Networks via Pruning and Sprouting. | Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey |
| 2024 | SISAP | Bayesian Estimation Approaches for Local Intrinsic Dimensionality. | Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey |
| 2023 | CP | Predict-Then-Optimise Strategies for Water Flow Control (Short Paper). | Vincent Barbosa Vaz, James Bailey, Christopher Leckie, Peter J. Stuckey |
| 2023 | ICDE | Efficiently Learning Spatial Indices. | Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, Lars Kulik |
| 2023 | ICLR | Distilling Cognitive Backdoor Patterns within an Image. | Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey |
| 2023 | KDD | Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. | Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey |
| 2023 | WACV | Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. | Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey |
| 2022 | AAAI | A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. | Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey |
| 2022 | CHI | Integrating Gaze and Speech for Enabling Implicit Interactions. | Anam Ahmad Khan, Joshua Newn, James Bailey, Eduardo Velloso |
| 2022 | CHI | To type or to speak? The effect of input modality on text understanding during note-taking. | Anam Ahmad Khan, Sadia Nawaz, Joshua Newn, Ryan M. Kelly, Jason M. Lodge, James Bailey, Eduardo Velloso |
| 2022 | CIKM | Deep Learning for Search and Recommendation. | Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang |
| 2022 | ECCV | IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition. | Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu |
| 2022 | PAKDD | Modelling Zeros in Blockmodelling. | Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri |
| 2021 | AAAI | Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. | Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu |
| 2021 | ACML | Generating Deep Networks Explanations with Robust Attribution Alignment. | Guohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey |
| 2021 | ICLR | Unlearnable Examples: Making Personal Data Unexploitable. | Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang |
| 2021 | IJCNN | Neural Architecture Search via Combinatorial Multi-Armed Bandit. | Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey |
| 2021 | IJCNN | Dual Head Adversarial Training. | Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey |
| 2021 | IJCNN | A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series. | Mahtab Mirmomeni, Lars Kulik, James Bailey |
| 2021 | LAK | Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. | Namrata Srivastava, Sadia Nawaz, Joshua Newn, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, Dragan Gasevic, James Bailey |
| 2021 | SISAP | Relationships Between Local Intrinsic Dimensionality and Tail Entropy. | James Bailey, Michael E. Houle, Xingjun Ma |
| 2020 | AAAI | Dynamic Programming for Predict+Optimise. | Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan |
| 2020 | AIED | Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery. | Jesslyn Lamtara, Nathan Hanegbi, Benjamin Talks, Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, James Bailey, Stephen J. O'Leary |
| 2020 | AIED | Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment. | Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Ryan S. Baker, Gregor E. Kennedy, James Bailey |
| 2020 | CVPR | Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. | Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang |
| 2020 | CVPR | Clean-Label Backdoor Attacks on Video Recognition Models. | Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang |
| 2020 | ECCV | Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. | Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu |
| 2020 | ICLR | Improving Adversarial Robustness Requires Revisiting Misclassified Examples. | Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu |
| 2020 | ICLR | Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. | Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma |
| 2020 | ICML | Normalized Loss Functions for Deep Learning with Noisy Labels. | Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey |
| 2020 | IJCNN | Improving Single and Multi-View Blockmodelling by Algebraic Simplification. | Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic |
| 2020 | LAK | Prediction of students' assessment readiness in online learning environments: the sequence matters. | Donia Malekian, James Bailey, Gregor E. Kennedy |
| 2020 | LAK | Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. | Namrata Srivastava, Sadia Nawaz, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, James Bailey |
| 2019 | AIED | The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training. | Myles Davaris, Sudanthi N. R. Wijewickrema, Yun Zhou, Patorn Piromchai, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2019 | CHI | Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. | Namrata Srivastava, Eduardo Velloso, Jason M. Lodge, Sarah M. Erfani, James Bailey |
| 2019 | CPAIOR | An Investigation into Prediction + Optimisation for the Knapsack Problem. | Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns |
| 2019 | EDM | Characterising Students' Writing Processes Using Temporal Keystroke Analysis. | Donia Malekian, James Bailey, Gregor E. Kennedy, Paula G. de Barba, Sadia Nawaz |
| 2019 | ICCV | Symmetric Cross Entropy for Robust Learning With Noisy Labels. | Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey |
| 2019 | ICML | On the Convergence and Robustness of Adversarial Training. | Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu |
| 2019 | IJCAI | Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. | Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns |
| 2019 | IJCAI | SynthNet: Learning to Synthesize Music End-to-End. | Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey |
| 2019 | KDD | Improving the Quality of Explanations with Local Embedding Perturbations. | Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle |
| 2019 | SISAP | Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. | Tahrima Hashem, Lida Rashidi, James Bailey, Lars Kulik |
| 2018 | AAAI | Lagrangian Constrained Community Detection. | Mohadeseh Ganji, James Bailey, Peter J. Stuckey |
| 2018 | AIED | Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? | Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2018 | CBMS | Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear. | Sudanthi N. R. Wijewickrema, Bridget Copson, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2018 | CVPR | Iterative Learning With Open-Set Noisy Labels. | Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia |
| 2018 | ICDM | Online CP Decomposition for Sparse Tensors. | Shuo Zhou, Sarah M. Erfani, James Bailey |
| 2018 | ICLR | Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. | Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey |
| 2018 | ICML | Dimensionality-Driven Learning with Noisy Labels. | Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey |
| 2018 | PRICAI | An Automated Matrix Profile for Mining Consecutive Repeats in Time Series. | Mahtab Mirmomeni, Yousef Kowsar, Lars Kulik, James Bailey |
| 2018 | UAI | Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. | Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha |
| 2018 | SDM | Image Constrained Blockmodelling: A Constraint Programming Approach. | Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson |
| 2017 | AAAI | From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. | Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2017 | AAAI | Unbiased Multivariate Correlation Analysis. | Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia |
| 2017 | CBMS | Simulation for Training Cochlear Implant Electrode Insertion. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Bridget Copson, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2017 | CBMS | Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery. | Sudanthi N. R. Wijewickrema, Bridget Copson, Yun Zhou, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2017 | CP | A Declarative Approach to Constrained Community Detection. | Mohadeseh Ganji, James Bailey, Peter J. Stuckey |
| 2017 | ICDM | SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. | Shuo Zhou, Sarah M. Erfani, James Bailey |
| 2017 | ICIS | Using a Traffic Light System to Provide Feedback to IS Masters Students. | Reeva Lederman, Dora Constantinidis, Tanya Linden, Linda Corrin, Jon M. Pearce, Wally Smith, James Bailey |
| 2017 | ICML | Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. | Zakaria Mhammedi, Andrew D. Hellicar, Ashfaqur Rahman, James Bailey |
| 2017 | IJCAI | Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey |
| 2017 | MICCAI | Providing Effective Real-Time Feedback in Simulation-Based Surgical Training. | Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Shuo Zhou, Stephen J. O'Leary, James Bailey |
| 2017 | Mobiquitous | A Fast and Accurate Index Structure for Spatiotemporal Trajectories. | Somayeh Naderivesal, Lars Kulik, James Bailey |
| 2017 | SSDBM | Challenges of Differentially Private Release of Data Under an Open-world Assumption. | Elham Naghizade, James Bailey, Lars Kulik, Egemen Tanin |
| 2016 | AAAI | MOOCs Meet Measurement Theory: A Topic-Modelling Approach. | Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan |
| 2016 | ICPR | Measuring dependency via intrinsic dimensionality. | Simone Romano, Oussama Chelly, Vinh Nguyen, James Bailey, Michael E. Houle |
| 2016 | IJCAI | Robust Domain Generalisation by Enforcing Distribution Invariance. | Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2016 | ICPR | Training robust models using Random Projection. | Xuan Vinh Nguyen, Sarah M. Erfani, Sakrapee Paisitkriangkrai, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao |
| 2016 | KDD | Accelerating Online CP Decompositions for Higher Order Tensors. | Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia, Ian Davidson |
| 2016 | LAK | Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. | Sandra Milligan, Jiazhen He, James Bailey, Rui Zhang, Benjamin I. P. Rubinstein |
| 2016 | Mobiquitous | Real Time Autonomous Point of Interest Mining through Ambient Smartphone Sensing. | Tanusri Bhattacharya, Lars Kulik, James Bailey |
| 2016 | SDM | A Framework to Adjust Dependency Measure Estimates for Chance. | Simone Romano, Xuan Vinh Nguyen, James Bailey, Karin Verspoor |
| 2016 | SDM | R1STM: One-class Support Tensor Machine with Randomised Kernel. | Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2016 | SDM | Lagrangian Constrained Clustering. | Mohadeseh Ganji, James Bailey, Peter J. Stuckey |
| 2016 | VRST | Provision of automated step-by-step procedural guidance in virtual reality surgery simulation. | Sudanthi N. R. Wijewickrema, Yun Zhou, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2015 | AAAI | Identifying At-Risk Students in Massive Open Online Courses. | Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang |
| 2015 | CBMS | Region-Specific Automated Feedback in Temporal Bone Surgery Simulation. | Sudanthi N. R. Wijewickrema, Ioanna Ioannou, Yun Zhou, Patorn Piromchai, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2015 | ICMI | Detection of Deception in the Mafia Party Game. | Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie |
| 2015 | MICCAI | Automated Segmentation of Surgical Motion for Performance Analysis and Feedback. | Yun Zhou, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary |
| 2015 | PAKDD | Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. | Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei |
| 2015 | SDM | A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization. | Chia-Tung Kuo, James Bailey, Ian Davidson |
| 2014 | AAAI | Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. | Xuan Vinh Nguyen, Jeffrey Chan, James Bailey |
| 2014 | CIDM | Generalized information theoretic cluster validity indices for soft clusterings. | Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey |
| 2014 | DASFAA | Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks. | Jiazhen He, James Bailey, Rui Zhang |
| 2014 | ICDM | TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. | Jeffrey Chan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2014 | ICML | Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance. | Simone Romano, James Bailey, Xuan Vinh Nguyen, Karin Verspoor |
| 2014 | ICPR | Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration. | Yun Zhou, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, James Bailey, Patorn Piromchai, Gregor E. Kennedy, Stephen J. O'Leary |
| 2014 | KDD | Effective global approaches for mutual information based feature selection. | Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey |
| 2014 | MUM | A context-aware do-not-disturb service for mobile devices. | Yujue Qin, Tanusri Bhattacharya, Lars Kulik, James Bailey |
| 2014 | MUM | Is this you?: identifying a mobile user using only diagnostic features. | Anthony Quattrone, Tanusri Bhattacharya, Lars Kulik, Egemen Tanin, James Bailey |
| 2014 | PAKDD | Structure-Aware Distance Measures for Comparing Clusterings in Graphs. | Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei |
| 2014 | PAKDD | Mining Contrast Subspaces. | Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Akiko Campbell, Changjie Tang |
| 2014 | PRICAI | Improved Feature Transformations for Classification Using Density Estimation. | Yamuna Kankanige, James Bailey |
| 2014 | SDM | Efficient Matching of Substrings in Uncertain Sequences. | Yuxuan Li, James Bailey, Lars Kulik, Jian Pei |
| 2013 | CIKM | Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. | Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2013 | CIKM | Discrimination aware classification for imbalanced datasets. | Goce Ristanoski, Wei Liu, James Bailey |
| 2013 | ICDM | Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases. | Yuxuan Li, James Bailey, Lars Kulik, Jian Pei |
| 2013 | KDD | A time-dependent enhanced support vector machine for time series regression. | Goce Ristanoski, Wei Liu, James Bailey |
| 2013 | MICCAI | Constructive Real Time Feedback for a Temporal Bone Simulator. | Yun Zhou, James Bailey, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, Gregor E. Kennedy, Stephen J. O'Leary |
| 2013 | PAKDD | Time Series Forecasting Using Distribution Enhanced Linear Regression. | Goce Ristanoski, Wei Liu, James Bailey |
| 2013 | SDM | Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. | James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu |
| 2013 | VRST | Pattern-based real-time feedback for a temporal bone simulator. | Yun Zhou, James Bailey, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Gregor E. Kennedy |
| 2013 | SSDBM | Mining multidimensional contextual outliers from categorical relational data. | Guanting Tang, James Bailey, Jian Pei, Guozhu Dong |
| 2012 | CIKM | Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. | Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao |
| 2012 | CIKM | On compressing weighted time-evolving graphs. | Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao |
| 2012 | KDD | SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. | Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2012 | WISE | Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge. | Xiuzhen Zhang, Yun Zhou, James Bailey, Kotagiri Ramamohanarao |
| 2011 | ICDM | Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book. | Guozhu Dong, James Bailey |
| 2010 | DICTA | Classification of Melanoma Lesions Using Wavelet-Based Texture Analysis. | Rahil Garnavi, Mohammad Aldeen, James Bailey |
| 2010 | ICDE | Mining distribution change in stock order streams. | Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao |
| 2010 | KDD | A hierarchical information theoretic technique for the discovery of non linear alternative clusterings. | Xuan-Hong Dang, James Bailey |
| 2010 | PAKDD | A Novel Scalable Multi-class ROC for Effective Visualization and Computation. | Md. Rafiul Hassan, Kotagiri Ramamohanarao, Chandan K. Karmakar, M. Maruf Hossain, James Bailey |
| 2010 | SDM | Generation of Alternative Clusterings Using the CAMI Approach. | Xuan-Hong Dang, James Bailey |
| 2009 | AusDM | A Query Based Approach for Mining Evolving Graphs. | Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie |
| 2009 | ICML | Information theoretic measures for clusterings comparison: is a correction for chance necessary? | Xuan Vinh Nguyen, Julien Epps, James Bailey |
| 2009 | PAKDD | Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?. | Elsa Loekito, James Bailey |
| 2009 | SDM | Feature Weighted SVMs Using Receiver Operating Characteristics. | Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan, James Bailey, Kotagiri Ramamohanarao |
| 2008 | APWEB | Mining, Ranking, and Using Acronym Patterns. | Xiaonan Ji, Gu Xu, James Bailey, Hang Li |
| 2008 | CIKM | Mining influential attributes that capture class and group contrast behaviour. | Elsa Loekito, James Bailey |
| 2008 | SDM | ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data. | M. Maruf Hossain, Md. Rafiul Hassan, James Bailey |
| 2007 | APCCM | Merging Dynamic Functionality: Integration of XML Transformations. | James Bailey, Ce Dong |
| 2007 | AusDM | Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets? | Elsa Loekito, James Bailey |
| 2007 | ICDM | An Efficient Technique for Mining Approximately Frequent Substring Patterns. | Xiaonan Ji, James Bailey |
| 2006 | ER | A Framework for Integrating XML Transformations. | Ce Dong, James Bailey |
| 2006 | ICDM | COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity. | Eric Bae, James Bailey |
| 2006 | ICDM | Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. | Jeffrey Chan, James Bailey, Christopher Leckie |
| 2006 | KDD | Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams. | Elsa Loekito, James Bailey |
| 2006 | SDM | Mining Minimal Contrast Subgraph Patterns. | Roger Ming Hieng Ting, James Bailey |
| 2005 | ADC | Transformation and Reaction Rules for Data on the Web. | James Bailey |
| 2005 | ICDM | Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints. | Xiaonan Ji, James Bailey, Guozhu Dong |
| 2005 | PADL | Discovery of Minimal Unsatisfiable Subsets of Constraints Using Hitting Set Dualization. | James Bailey, Peter J. Stuckey |
| 2005 | WWW | Composite event queries for reactivity on the web. | James Bailey, Franois Bry, Paula-Lavinia Patranjan |
| 2005 | WISE | Optimization of XSLT by Compact Specialization and Combination. | Ce Dong, James Bailey |
| 2004 | ADC | Static Analysis of XSLT Programs. | Ce Dong, James Bailey |
| 2004 | CoopIS | Managing Semantic Compensation in a Multi-agent System. | Amy Unruh, James Bailey, Kotagiri Ramamohanarao |
| 2004 | ER | XSLTGen: A System for Automatically Generating XML Transformations via Semantic Mappings. | Stella Waworuntu, James Bailey |
| 2004 | PAKDD | ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm. | Roger Ming Hieng Ting, James Bailey, Kotagiri Ramamohanarao |
| 2004 | WISE | Optimization of XML Transformations Using Template Specialization. | Ce Dong, James Bailey |
| 2003 | ICDM | A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging Patterns. | James Bailey, Thomas Manoukian, Kotagiri Ramamohanarao |
| 2003 | WISE | CodeX: An Approach for Debugging XSLT Transformations. | Eric Bae, James Bailey |
| 2002 | WWW | An event-condition-action language for XML. | James Bailey, Alexandra Poulovassilis, Peter T. Wood |
| 2001 | ICDT | Expressiveness Issues and Decision Problems for Active Database Event Queries. | James Bailey, Szabolcs Mikuls |
| 2001 | ICTAI | Transaction Oriented Computational Models for Multi-Agent Systems. | Kotagiri Ramamohanarao, James Bailey, Paolo Busetta |
| 1999 | ICDT | Decidability of First-Order Logic Queries over Views. | James Bailey, Guozhu Dong |
| 1998 | PODS | Decidability and Undecidability Results for the Termination Problem of Active Database Rules. | James Bailey, Guozhu Dong, Kotagiri Ramamohanarao |
| 1997 | ICDT | Abstract Interpretation of Active Rules and its Use in Termination Analysis. | James Bailey, Lobel Crnogorac, Kotagiri Ramamohanarao, Harald Sndergaard |
| 1997 | ICDT | Structural Issues in Active Rule Systems. | James Bailey, Guozhu Dong, Kotagiri Ramamohanarao |
| 1995 | ADC | Issues in Active Databases. | James Bailey, Kotagiri Ramamohanarao |