Bailey, James

59 publications

NeurIPS 2025 Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning Xueqi Ma, Jun Wang, Yanbei Jiang, Sarah Monazam Erfani, Tongliang Liu, James Bailey

ICLR 2025 Detecting Backdoor Samples in Contrastive Language Image Pretraining Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey

NeurIPS 2025 E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models Jiaheng Dong, Hong Jia, Soumyajit Chatterjee, Abhirup Ghosh, James Bailey, Ting Dang

TMLR 2025 Exploring Weak-to-Strong Generalization for CLIP-Based Classification Jinhao Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu

NeurIPS 2025 Practical Kernel Selection for Kernel-Based Conditional Independence Test Wenjie Wang, Mingming Gong, Biwei Huang, James Bailey, Bo Han, Kun Zhang, Feng Liu

CVPR 2025 Semantic-Guided Cross-Modal Prompt Learning for Skeleton-Based Zero-Shot Action Recognition Anqi Zhu, Jingmin Zhu, James Bailey, Mingming Gong, Qiuhong Ke

ICML 2025 X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey

MIDL 2024 DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine Davey

MLJ 2024 Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Xingjun Ma, Linxi Jiang, Hanxun Huang, Zejia Weng, James Bailey, Yu-Gang Jiang

ICLR 2024 LDReg: Local Dimensionality Regularized Self-Supervised Learning Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey

CVPRW 2024 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, Kris Ehinger, Benjamin I. P. Rubinstein, James Bailey, Airlie Chapman, Michele Trenti

CVPR 2024 Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey

ICML 2024 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

WACV 2023 Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey

ICLR 2023 Distilling Cognitive Backdoor Patterns Within an Image Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey

AAAI 2022 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

ECCV 2022 IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu

JMLR 2022 MurTree: Optimal Decision Trees via Dynamic Programming and Search Emir Demirović, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey

NeurIPS 2021 $\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression Jiabo He, Sarah Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua

ICMLW 2021 Adversarial Interaction Attacks: Fooling AI to Misinterpret Human Intentions Nodens Koren, Xingjun Ma, Qiuhong Ke, Yisen Wang, James Bailey

AAAI 2021 Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu

NeurIPS 2021 Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang, Yisen Wang, Sarah Erfani, Quanquan Gu, James Bailey, Xingjun Ma

ACML 2021 Generating Deep Networks Explanations with Robust Attribution Alignment Guohang Zeng, Yousef Kowsar, Sarah Erfani, James Bailey

ICLR 2021 Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang

AAAI 2020 Dynamic Programming for Predict+Optimise Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan

ICLR 2020 Improving Adversarial Robustness Requires Revisiting Misclassified Examples Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu

ICML 2020 Normalized Loss Functions for Deep Learning with Noisy Labels Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah Erfani, James Bailey

ECCV 2020 Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu

ICLR 2020 Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma

NeurIPS 2019 Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes James Bailey, Georgios Piliouras

ICML 2019 On the Convergence and Robustness of Adversarial Training Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu

IJCAI 2019 Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns

IJCAI 2019 SynthNet: Learning to Synthesize Music End-to-End Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey

ICLR 2018 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey

ICML 2018 Dimensionality-Driven Learning with Noisy Labels Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah Erfani, Shutao Xia, Sudanthi Wijewickrema, James Bailey

AAAI 2018 Lagrangian Constrained Community Detection Mohadeseh Ganji, James Bailey, Peter J. Stuckey

UAI 2018 Learning Deep Hidden Nonlinear Dynamics from Aggregate Data Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha

ECML-PKDD 2018 Semi-Supervised Blockmodelling with Pairwise Guidance Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park

MLJ 2018 The Randomized Information Coefficient: Assessing Dependencies in Noisy Data Simone Romano, Xuan Vinh Nguyen, Karin Verspoor, James Bailey

IJCAI 2017 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

ICML 2017 Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections Zakaria Mhammedi, Andrew Hellicar, Ashfaqur Rahman, James Bailey

AAAI 2017 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

AAAI 2017 Unbiased Multivariate Correlation Analysis Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia

JMLR 2016 Adjusting for Chance Clustering Comparison Measures Simone Romano, Nguyen Xuan Vinh, James Bailey, Karin Verspoor

AAAI 2016 MOOCs Meet Measurement Theory: A Topic-Modelling Approach Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan

ECML-PKDD 2016 Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao

IJCAI 2016 Robust Domain Generalisation by Enforcing Distribution Invariance Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

MLJ 2015 A Framework to Uncover Multiple Alternative Clusterings Xuan-Hong Dang, James Bailey

MLJ 2015 Enriched Spatial Comparison of Clusterings Through Discovery of Deviating Subspaces Eric Bae, James Bailey

ECML-PKDD 2015 Generalized Modularity for Community Detection Mohadeseh Ganji, Abbas Seifi, Hosein Alizadeh, James Bailey, Peter J. Stuckey

AAAI 2015 Identifying At-Risk Students in Massive Open Online Courses Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang

ECML-PKDD 2014 FILTA: Better View Discovery from Collections of Clusterings via Filtering Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey

AAAI 2014 Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View Xuan Vinh Nguyen, Jeffrey Chan, James Bailey

ICML 2014 Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance Simone Romano, James Bailey, Vinh Nguyen, Karin Verspoor

ECML-PKDD 2013 A Bayesian Classifier for Learning from Tensorial Data Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao

ACML 2012 AIC and BIC Based Approaches for SVM Parameter Value Estimation with RBF Kernels Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie

JMLR 2010 Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance Nguyen Xuan Vinh, Julien Epps, James Bailey

ICML 2009 Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary? Xuan Vinh Nguyen, Julien Epps, James Bailey

ECML-PKDD 2008 Improving K-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, Kotagiri Ramamohanarao