Leckie, Christopher

32 publications

WACV 2025 Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection Nimeshika Udayangani, Hadi Mohaghegh Dolatabadi, Sarah Erfani, Christopher Leckie

NeurIPS 2025 Fortifying Time Series: DTW-Certified Robust Anomaly Detection Shijie Liu, Tansu Alpcan, Christopher Leckie, Sarah Monazam Erfani

ICLR 2025 Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie

ECML-PKDD 2024 Long-Term Fairness in Ride-Hailing Platform Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie

AAAI 2023 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie

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 L∞-Robustness and Beyond: Unleashing Efficient Adversarial Training Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie

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

AAAI 2022 Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

IJCAI 2021 Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein

AAAI 2021 Embracing Domain Differences in Fake News: Cross-Domain Fake News Detection Using Multi-Modal Data Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

NeurIPS 2020 AdvFlow: Inconspicuous Black-Box Adversarial Attacks Using Normalizing Flows Hadi Mohaghegh Dolatabadi, Sarah Erfani, Christopher Leckie

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

AISTATS 2020 Invertible Generative Modeling Using Linear Rational Splines Hadi Mohaghegh Dolatabadi, Sarah Erfani, Christopher Leckie

ECML-PKDD 2020 OMBA: User-Guided Product Representations for Online Market Basket Analysis Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie

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

ECML-PKDD 2019 Unsupervised and Active Learning Using Maximin-Based Anomaly Detection Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Shanika Karunasekera

CVPRW 2018 Crowd Activity Change Point Detection in Videos via Graph Stream Mining Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami

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

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

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

IJCAI 2015 Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera

AAAI 2015 R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie

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

CVPR 2008 Moving Shape Dynamics: A Signal Processing Perspective Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao

ICML 2002 Learning to Share Distributed Probabilistic Beliefs Christopher Leckie, Kotagiri Ramamohanarao

IJCAI 1999 An Evaluation of Criteria for Measuring the Quality of Clusters Bhavani Raskutti, Christopher Leckie

IJCAI 1997 Locating Faults in Tree-Structured Networks Christopher Leckie, Michael Dale

IJCAI 1993 An Inductive Approach to Learning Search Control Rules for Planning Christopher Leckie, Ingrid Zukerman

ICML 1991 Learning Search Control Rules for Planning: An Inductive Approach Christopher Leckie, Ingrid Zukerman