| 2026 | AAAI | Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models. | Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang |
| 2026 | CHI | Applying Value Sensitive Design to Location-Based Services: Designing for Shared Spaces and Local Conditions. | Hiruni Nuwanthika Kegalle, Flora D. Salim, Mark Sanderson, Jeffrey Chan, Danula Hettiachchi |
| 2026 | WWW | Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering. | Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan |
| 2026 | SIGIR | Verifiable User Simulation for Search and Recommendation Systems. | Chenglong Ma, Xinye Wanyan, Danula Hettiachchi, Ziqi Xu, Yongli Ren, Jeffrey Chan |
| 2026 | SIGIR | Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models. | Xinye Wanyan, Chenglong Ma, Danula Hettiachchi, Ziqi Xu, Jeffrey Chan |
| 2026 | SIGIR | Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting. | Yaqi Yang, Ziqi Xu, Jie Li, Chenglong Ma, Jeffrey Chan, Mark Sanderson, Xin Zheng, Yongli Ren |
| 2025 | AAAI | BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings. | Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang |
| 2025 | CIKM | Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. | Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan |
| 2025 | CIKM | Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. | Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan |
| 2025 | ECAI | MOCA-HESP: Meta High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-Ellipsoid Partitioning. | Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang |
| 2025 | WWW | Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. | Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia |
| 2025 | SIGIR | PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. | Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan |
| 2024 | GECCO | Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems. | Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan |
| 2024 | GECCO | Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. | Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan |
| 2024 | ICDE | Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract). | Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang |
| 2024 | ICPR | ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection. | Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan |
| 2024 | RecSys | CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. | Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan |
| 2023 | ADMA | EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. | Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan |
| 2023 | CVPR | SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. | Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad |
| 2023 | MDM | Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services. | Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson |
| 2023 | SDM | It's PageRank All The Way Down: Simplifying Deep Graph Networks. | Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie |
| 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 | ICDE | Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract). | Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang |
| 2022 | NSS | Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. | Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan |
| 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 |
| 2022 | SDM | Measuring disentangled generative spatio-temporal representation. | Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim |
| 2021 | GECCO | Bayesian preference learning for interactive multi-objective optimisation. | Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li |
| 2021 | IJCNN | Learning to Optimise Routing Problems using Policy Optimisation. | Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin |
| 2021 | PAKDD | Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. | Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang |
| 2021 | SSDBM | MoParkeR : Multi-objective Parking Recommendation. | Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook |
| 2020 | AAAI | Dynamic Programming for Predict+Optimise. | Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan |
| 2020 | AAAI | Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. | Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan |
| 2020 | ICDM | Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. | Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie |
| 2020 | IJCNN | Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks. | Wei Shao, Jeffrey Chan, Flora D. Salim |
| 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 | PAKDD | A Framework for Feature Selection to Exploit Feature Group Structures. | Kushani Perera, Jeffrey Chan, Shanika Karunasekera |
| 2020 | PAKDD | Group Based Unsupervised Feature Selection. | Kushani Perera, Jeffrey Chan, Shanika Karunasekera |
| 2019 | CEC | Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives. | Kendall Taylor, Xiaodong Li, Jeffrey Chan |
| 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 | ICDM | Discovering Relevant Reviews for Answering Product-Related Queries. | Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Ccile Paris |
| 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 | PERCOM | OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness. | Wei Shao, Flora D. Salim, Jeffrey Chan, Kyle Kai Qin, Jiaman Ma, Bradley Feest |
| 2019 | PERCOM | OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. | Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas |
| 2018 | GPC | Parking Availability Prediction with Long Short Term Memory Model. | Wei Shao, Yu Zhang, Bin Guo, Kyle Kai Qin, Jeffrey Chan, Flora D. Salim |
| 2018 | PAKDD | UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features. | Naif Almusallam, Zahir Tari, Jeffrey Chan, Adil AlHarthi |
| 2018 | PAKDD | Identifying Singleton Spammers via Spammer Group Detection. | Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan |
| 2018 | PAKDD | Contextual Location Imputation for Confined WiFi Trajectories. | Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko |
| 2018 | PAKDD | Feature Selection for Multiclass Binary Data. | Kushani Perera, Jeffrey Chan, Shanika Karunasekera |
| 2018 | PAKDD | Identifying In-App User Actions from Mobile Web Logs. | Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren |
| 2018 | PAKDD | Learning to Rank Items of Minimal Reviews Using Weak Supervision. | Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan |
| 2018 | WWW | Travel Itinerary Recommendations with Must-see Points-of-Interest. | Kendall Taylor, Kwan Hui Lim, Jeffrey Chan |
| 2018 | SENSYS | Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. | Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson |
| 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 | ADCS | A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis. | Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan |
| 2017 | ADMA | Language-Independent Twitter Classification Using Character-Based Convolutional Networks. | Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan |
| 2017 | ICONIP | An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. | Boyu Zhang, A. K. Qin, Jeffrey Chan |
| 2017 | SIGIR | Personalized Itinerary Recommendation with Queuing Time Awareness. | Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie |
| 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 | CIKM | Improving Personalized Trip Recommendation by Avoiding Crowds. | Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan |
| 2015 | ECIR | Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. | Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera |
| 2015 | IJCAI | Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. | Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera |
| 2015 | PAKDD | Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. | Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei |
| 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 | ICDM | TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. | Jeffrey Chan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2014 | KDD | Effective global approaches for mutual information based feature selection. | Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, 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 |
| 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 | SDM | Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. | James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu |
| 2013 | SERVICES | Analysing Virtual Machine Usage in Cloud Computing. | Yi Han, Jeffrey Chan, Christopher Leckie |
| 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 | ICWSM | Mixed Membership Models for Exploring User Roles in Online Fora. | Arthur J. White, Jeffrey Chan, Conor Hayes, Thomas Brendan Murphy |
| 2012 | KDD | SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. | Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2011 | IJCAI | Increasing the Scalability of the Fitting of Generalised Block Models for Social Networks. | Jeffrey Chan, Samantha Lam, Conor Hayes |
| 2011 | ICWSM | Reconstruction of Threaded Conversations in Online Discussion Forums. | Erik Aumayr, Jeffrey Chan, Conor Hayes |
| 2010 | ICWSM | Decomposing Discussion Forums and Boards Using User Roles. | Jeffrey Chan, Conor Hayes, Elizabeth M. Daly |
| 2009 | AusDM | A Query Based Approach for Mining Evolving Graphs. | Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie |
| 2006 | ICDM | Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. | Jeffrey Chan, James Bailey, Christopher Leckie |