Jeffrey Chan - RankMe

219 papers A* 24A 19B 11C 3Misc 2Journal 113Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Empirical Study on Ensemble-Based Transfer Learning Bayesian Optimisation with Mixed Variable Types. CoRR Natasha Trinkle, Huong Ha, Jeffrey Chan
2026	A*	`conf`	Applying Value Sensitive Design to Location-Based Services: Designing for Shared Spaces and Local Conditions. CHI Hiruni Nuwanthika Kegalle, Flora D. Salim, Mark Sanderson, Jeffrey Chan, Danula Hettiachchi
2026	J	`jnl`	Applying Value Sensitive Design to Location-Based Services: Designing for Shared Spaces and Local Conditions. CoRR Hiruni Kegalle, Flora D. Salim, Mark Sanderson, Jeffrey Chan, Danula Hettiachchi
2026	A*	`conf`	Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering. WWW Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
2026	A*	`conf`	Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models. AAAI Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2025	J	`jnl`	"Nuisance is Better Than Nothing?": Exploring How Pedestrians and Cyclists Perceive Automated E-Scooter Alerts in Shared Spaces MHCI023. Proc. ACM Hum. Comput. Interact. Hiruni Nuwanthika Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson
2025	J	`jnl`	An effective approach for early fuel leakage detection with enhanced explainability. Intell. Syst. Appl. Ruimin Chu, Li Chik, Yiliao Song, Jeffrey Chan, Xiaodong Li
2025	—	`conf`	Automating Precision Oncology Literature Curation: A Decision Tree Approach Using Large Language Models. MedInfo Frank P. Lin, Minh Tran, Subotheni Thavaneswaran, John P. Grady, Maya Kansara, Jeffrey Chan, Mandy L. Ballinger, John Simes, David M. Thomas
2025	A*	`conf`	BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings. AAAI Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2025	J	`jnl`	Deep Learning of Dynamic POI Generation and Optimisation for Itinerary Recommendation. Trans. Recomm. Syst. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2025	J	`jnl`	Diverse Negative Sampling for Implicit Collaborative Filtering. CoRR Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
2025	—	`conf`	Dynamic Budgeted Reinforcement Learning for Fairness in Spatial-Temporal Resource Allocation. SIGSPATIAL/GIS Yufan Kang, Jie Zhang, Wei Shao, Rui Tang, Mark Andrejevic, Jeffrey Chan, Flora D. Salim
2025	A	`conf`	Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. CIKM Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
2025	—	`conf`	FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction. SIGSPATIAL/GIS Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim
2025	J	`jnl`	FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction. CoRR Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim
2025	J	`jnl`	Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models. CoRR Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2025	J	`jnl`	How robust is your fair model? Exploring the robustness of prominent fairness strategies. Data Min. Knowl. Discov. Edward A. Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim
2025	—	`conf`	Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI. SDS Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
2025	J	`jnl`	Leveraging Complementary AI Explanations to Mitigate Misunderstanding in XAI. CoRR Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
2025	J	`jnl`	Leveraging machine learning in nursing: innovations, challenges, and ethical insights. Frontiers Digit. Health Sophie So Wan Yip, Sheng Ning, Niki Yan Ki Wong, Jeffrey Chan, Kei Shing Ng, Bernadette Oi Ting Kwok, Robert L. Anders, Simon Ching Lam
2025	J	`jnl`	MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions. CoRR Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2025	A	`conf`	MOCA-HESP: Meta High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-Ellipsoid Partitioning. ECAI Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2025	J	`jnl`	MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning. CoRR Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2025	A*	`conf`	PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. SIGIR Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
2025	J	`jnl`	PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. CoRR Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
2025	J	`jnl`	Perfect counterfactuals in imperfect worlds: modelling noisy implementation of actions in sequential algorithmic recourse. Mach. Learn. Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
2025	J	`jnl`	Real-time fuel leakage detection via online change point detection. Int. J. Data Sci. Anal. Ruimin Chu, Li Chik, Yiliao Song, Jeffrey Chan, Xiaodong Li
2025	J	`jnl`	SpIS: A stochastic approximation approach to minimal subset instance selection. Inf. Sci. Guo Feng Anders Yeo, Irene Lena Hudson, David V. Akman, Jeffrey Chan
2025	A	`conf`	Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. CIKM Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan
2025	J	`jnl`	Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. CoRR Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan
2025	—	`conf`	Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. WWW (Companion Volume) Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia
2025	J	`jnl`	Watch Out E-scooter Coming Through: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders Ego-centric Views. CoRR Hiruni Nuwanthika Kegalle, Danula Hettiachchi, Jeffrey Chan, Mark Sanderson, Flora D. Salim
2025	J	`jnl`	Watch Out! E-scooter Coming Through!: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders' Ego-centric Views. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Hiruni Nuwanthika Kegalle, Danula Hettiachchi, Jeffrey Chan, Mark Sanderson, Flora D. Salim
2024	J	`jnl`	A Wearable Personalised Sonification and Biofeedback Device to Enhance Movement Awareness. Sensors Toh Yen Pang, Thomas Connelly, Frank Feltham, Chi-Tsun Cheng, Azizur Rahman, Jeffrey Chan, Luke McCarney, Katrina Neville
2024	J	`jnl`	A survey on personalized itinerary recommendation: From optimisation to deep learning. Appl. Soft Comput. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2024	—	`conf`	Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. GECCO Companion Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan
2024	J	`jnl`	BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings. CoRR Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang
2024	A	`conf`	CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. RecSys Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan
2024	J	`jnl`	CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. CoRR Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan
2024	A*	`conf`	Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract). ICDE Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
2024	—	`conf`	ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection. ICPR (25) Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2024	—	`conf`	E-Scooter Dynamics: Unveiling Rider Behaviours and Interactions with Road Users through Multi-Modal Data Analysis. AHs Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson
2024	—	`conf`	Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. FAccT Edward Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan
2024	J	`jnl`	High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. CoRR Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
2024	J	`jnl`	High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. Trans. Mach. Learn. Res. Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
2024	J	`jnl`	LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection. IEEE Access Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2024	J	`jnl`	Learning to guide local search optimisation for routing problems. Oper. Res. Lett. Nasrin Sultana, Jeffrey Chan, Babak Abbasi, Tabinda Sarwar, A. K. Qin
2024	—	`conf`	Long-Term Fairness in Ride-Hailing Platform. ECML/PKDD (9) Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie
2024	J	`jnl`	Long-term Fairness in Ride-Hailing Platform. CoRR Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie
2024	J	`jnl`	Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse. CoRR Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan
2024	J	`jnl`	Privacy-Preserving Link Scheduling for Wireless Networks. IEEE Access Maryam Abbasalizadeh, Jeffrey Chan, Pranathi Rayavaram, Yimin Chen, Sashank Narain
2024	J	`jnl`	Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem. CoRR Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan
2024	A	`conf`	Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems. GECCO Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan
2024	J	`jnl`	Real-time Fuel Leakage Detection via Online Change Point Detection. CoRR Ruimin Chu, Li Chik, Yiliao Song, Jeffrey Chan, Xiaodong Li
2024	J	`jnl`	Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs. IEEE Access Yan Wang, Ke Deng, Yongli Ren, Jeffrey Chan, Guangjian Tian, Christian S. Jensen
2024	J	`jnl`	Transferrable contextual feature clusters for parking occupancy prediction. Pervasive Mob. Comput. Wei Shao, Yu Zhang, Pengfei Xiao, Kyle Kai Qin, Mohammad Saiedur Rahaman, Jeffrey Chan, Bin Guo, Andy Song, Flora D. Salim
2023	J	`jnl`	A stochastic approximation approach to fixed instance selection. Inf. Sci. Guo Feng Anders Yeo, David V. Akman, Irene Lena Hudson, Jeffrey Chan
2023	B	`conf`	Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services. MDM Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson
2023	J	`jnl`	Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services. CoRR Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson
2023	J	`jnl`	Automatic meter error detection with a data-driven approach. Eng. Appl. Artif. Intell. Ruimin Chu, Li Chik, Jeffrey Chan, Kurt Gutzmann, Xiaodong Li
2023	J	`jnl`	Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. Appl. Soft Comput. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2023	J	`jnl`	Complex Event Summarization Using Multi-Social Attribute Correlation. IEEE Trans. Knowl. Data Eng. Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
2023	J	`jnl`	Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse. CoRR Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raúl Santos-Rodríguez
2023	—	`conf`	EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. ADMA (3) Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan
2023	J	`jnl`	Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. CoRR Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan
2023	—	`conf`	Expert Finding for Citizen Science. CCIA Bjoern Komander, Jesús Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi
2023	A	`conf`	It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
2023	J	`jnl`	More Is Less: When Do Recommenders Underperform for Data-rich Users? CoRR Yueqing Xuan, Kacper Sokol, Jeffrey Chan, Mark Sanderson
2023	—	`conf`	SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CVPR Workshops Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad
2023	J	`jnl`	SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CoRR Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad
2023	J	`jnl`	The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges. ACM Comput. Surv. Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, Xiuzhen Zhang, Vural Aksakalli, Irene Lena Hudson, Karin Verspoor, Lawrence Cavedon
2023	J	`jnl`	i-Align: an interpretable knowledge graph alignment model. CoRR Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson
2023	J	`jnl`	i-Align: an interpretable knowledge graph alignment model. Data Min. Knowl. Discov. Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson
2022	A*	`conf`	A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. AAAI Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
2022	J	`jnl`	Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019-2020 Australian Bushfires Case Study. CoRR Dilini Rajapaksha, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Mukesh Prasad, Mahendra Samarawickrama
2022	J	`jnl`	Efficient itinerary recommendation via personalized POI selection and pruning. Knowl. Inf. Syst. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2022	J	`jnl`	Ethical and Fairness Implications of Model Multiplicity. CoRR Kacper Sokol, Meelis Kull, Jeffrey Chan, Flora Dilys Salim
2022	J	`jnl`	Event Popularity Prediction Using Influential Hashtags From Social Media. IEEE Trans. Knowl. Data Eng. Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
2022	A*	`conf`	Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract). ICDE Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
2022	B	`conf`	Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2022	—	`conf`	Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision. VISIGRAPP (5: VISAPP) Jeffrey Chan, Hector Carrión, Rémi Mégret, José L. Agosto-Rivera, Tugrul Giray
2022	J	`jnl`	How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies. CoRR Edward Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim
2022	J	`jnl`	Learning to optimise general TSP instances. Int. J. Mach. Learn. Cybern. Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin
2022	A	`conf`	Measuring disentangled generative spatio-temporal representation. SDM Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim
2022	J	`jnl`	Measuring disentangled generative spatio-temporal representation. CoRR Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim
2022	—	`conf`	Modelling Zeros in Blockmodelling. PAKDD (2) Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri
2022	J	`jnl`	Multi-attention graph neural networks for city-wide bus travel time estimation using limited data. Expert Syst. Appl. Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
2022	J	`jnl`	Multi-level simulation of the physical, cognitive and social. Comput. Environ. Urban Syst. Chaminda Bulumulla, Dhirendra Singh, Lin Padgham, Jeffrey Chan
2022	J	`jnl`	MurTree: Optimal Decision Trees via Dynamic Programming and Search. J. Mach. Learn. Res. Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
2022	J	`jnl`	POI recommendation with queuing time and user interest awareness. Data Min. Knowl. Discov. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2022	J	`jnl`	Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems. CoRR Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin
2021	J	`jnl`	Automated Video Monitoring of Unmarked and Marked Honey Bees at the Hive Entrance. Frontiers Comput. Sci. Ivan F. Rodriguez, Jeffrey Chan, Manuel Alvarez Rios, Kristin Branson, José L. Agosto-Rivera, Tugrul Giray, Rémi Mégret
2021	A	`conf`	Bayesian preference learning for interactive multi-objective optimisation. GECCO Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li
2021	J	`jnl`	Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns. Data Min. Knowl. Discov. Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi
2021	J	`jnl`	Learning Enhanced Optimisation for Routing Problems. CoRR Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. K. Qin
2021	B	`conf`	Learning to Optimise Routing Problems using Policy Optimisation. IJCNN Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. K. Qin
2021	B	`conf`	MoParkeR : Multi-objective Parking Recommendation. SSDBM Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook
2021	J	`jnl`	MoParkeR : Multi-objective Parking Recommendation. CoRR Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook
2021	J	`jnl`	Parallelizing Contextual Linear Bandits. CoRR Jeffrey Chan, Aldo Pacchiano, Nilesh Tripuraneni, Yun S. Song, Peter L. Bartlett, Michael I. Jordan
2021	—	`—`	Scalable Machine Learning Algorithms for Biological Sequence Data. Jeffrey Chan
2021	J	`jnl`	Towards an Unsupervised Feature Selection Method for Effective Dynamic Features. IEEE Access Naif Almusallam, Zahir Tari, Jeffrey Chan, Adil Fahad, Abdulatif Alabdulatif, Mohammed Al-Naeem
2021	—	`conf`	Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. PAKDD (2) Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
2020	—	`conf`	A Framework for Feature Selection to Exploit Feature Group Structures. PAKDD (1) Kushani Perera, Jeffrey Chan, Shanika Karunasekera
2020	J	`jnl`	An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. IEEE Internet Things J. Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim
2020	J	`jnl`	An Ambient-Physical System to Infer Concentration in Open-plan Workplace. CoRR Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim
2020	B	`conf`	Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks. IJCNN Wei Shao, Jeffrey Chan, Flora D. Salim
2020	J	`jnl`	Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. CoRR Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
2020	A*	`conf`	Dynamic Programming for Predict+Optimise. AAAI Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan
2020	J	`jnl`	From small sets of GPS trajectories to detailed movement profiles: quantifying personalized trip-dependent movement diversity. Int. J. Geogr. Inf. Sci. Elham Naghizade, Jeffrey Chan, Martin Tomko
2020	—	`conf`	Group Based Unsupervised Feature Selection. PAKDD (1) Kushani Perera, Jeffrey Chan, Shanika Karunasekera
2020	J	`jnl`	Identifying glycan motifs using a novel subtree mining approach. BMC Bioinform. Lachlan Coff, Jeffrey Chan, Paul A. Ramsland, Andrew J. Guy
2020	B	`conf`	Improving Single and Multi-View Blockmodelling by Algebraic Simplification. IJCNN Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic
2020	J	`jnl`	Incorporating LSTM Auto-Encoders in Optimizations to Solve Parking Officer Patrolling Problem. ACM Trans. Spatial Algorithms Syst. Wei Shao, Siyu Tan, Sichen Zhao, Kyle Kai Qin, Xinhong Hei, Jeffrey Chan, Flora D. Salim
2020	J	`jnl`	Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. CoRR Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
2020	J	`jnl`	Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. ACM Trans. Sens. Networks Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
2020	J	`jnl`	Learning Vehicle Routing Problems using Policy Optimisation. CoRR Nasrin Sultana, Jeffrey Chan, A. K. Qin, Tabinda Sarwar
2020	J	`jnl`	Learning to Optimise General TSP Instances. CoRR Nasrin Sultana, Jeffrey Chan, A. K. Qin
2020	—	`conf`	Less Is More: Rejecting Unreliable Reviews for Product Question Answering. ECML/PKDD (3) Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris
2020	J	`jnl`	Less is More: Rejecting Unreliable Reviews for Product Question Answering. CoRR Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris
2020	A*	`conf`	Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. ICDM Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie
2020	J	`jnl`	MurTree: Optimal Classification Trees via Dynamic Programming and Search. CoRR Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
2020	J	`jnl`	Partition placement by PR/SM. IBM J. Res. Dev. Muruganandam Somasundaram, Jeffrey P. Kubala, Seth E. Lederer, Jeffrey Chan
2020	J	`jnl`	Representing and Denoising Wearable ECG Recordings. CoRR Jeffrey Chan, Andrew C. Miller, Emily B. Fox
2020	A*	`conf`	Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan
2020	J	`jnl`	Solving multiple travelling officers problem with population-based optimization algorithms. Neural Comput. Appl. Kyle Kai Qin, Wei Shao, Yongli Ren, Jeffrey Chan, Flora D. Salim
2019	J	`jnl`	Alternative Blockmodelling. CoRR Oscar Correa, Jeffrey Chan, Xuan Vinh Nguyen
2019	B	`conf`	An Investigation into Prediction + Optimisation for the Knapsack Problem. CPAIOR Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns
2019	J	`jnl`	Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network. CoRR Wei Shao, Flora D. Salim, Jeffrey Chan, Sean Morrison, Fabio Zambetta
2019	A*	`conf`	Discovering Relevant Reviews for Answering Product-Related Queries. ICDM Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris
2019	—	`conf`	Flight Delay Prediction using Airport Situational Awareness Map. SIGSPATIAL/GIS Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
2019	J	`jnl`	Flight Delay Prediction using Airport Situational Awareness Map. CoRR Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
2019	B	`conf`	Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives. CEC Kendall Taylor, Xiaodong Li, Jeffrey Chan
2019	J	`jnl`	Irony detection via sentiment-based transfer learning. Inf. Process. Manag. Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan, Paolo Rosso
2019	—	`conf`	J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. ECML/PKDD (3) P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson
2019	—	`conf`	OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. PerCom Workshops Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas
2019	A*	`conf`	OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness. PerCom Wei Shao, Flora D. Salim, Jeffrey Chan, Kyle Kai Qin, Jiaman Ma, Bradley Feest
2019	A*	`conf`	Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. IJCAI Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns
2019	—	`conf`	Sentiment-Aware and Personalized Tour Recommendation. IEEE BigData Prarthana Padia, Kwan Hui Lim, Jeffrey Chan, Aaron Harwood
2019	J	`jnl`	Sequence tube maps: making graph genomes intuitive to commuters. Bioinform. Wolfgang Beyer, Adam M. Novak, Glenn Hickey, Jeffrey Chan, Vanessa Tan, Benedict Paten, Daniel R. Zerbino
2019	J	`jnl`	Tour recommendation and trip planning using location-based social media: a survey. Knowl. Inf. Syst. Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie
2018	A*	`conf`	A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks. NeurIPS Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song
2018	J	`jnl`	A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks. CoRR Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song
2018	J	`jnl`	A Location-Query-Browse Graph for Contextual Recommendation. IEEE Trans. Knowl. Data Eng. Yongli Ren, Martin Tomko, Flora Dilys Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson
2018	—	`conf`	Contextual Location Imputation for Confined WiFi Trajectories. PAKDD (2) Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko
2018	B	`conf`	Enhancing Diffusion Models by Embedding Cognitive Reasoning. ASONAM Chaminda Bulumulla, Jeffrey Chan, Lin Padgham
2018	—	`conf`	Feature Selection for Multiclass Binary Data. PAKDD (3) Kushani Perera, Jeffrey Chan, Shanika Karunasekera
2018	—	`conf`	Identifying In-App User Actions from Mobile Web Logs. PAKDD (2) Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren
2018	—	`conf`	Identifying Singleton Spammers via Spammer Group Detection. PAKDD (1) Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan
2018	A	`conf`	Image Constrained Blockmodelling: A Constraint Programming Approach. SDM Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson
2018	—	`conf`	Learning to Rank Items of Minimal Reviews Using Weak Supervision. PAKDD (1) Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan
2018	C	`conf`	Parking Availability Prediction with Long Short Term Memory Model. GPC Wei Shao, Yu Zhang, Bin Guo, Kyle Kai Qin, Jeffrey Chan, Flora D. Salim
2018	J	`jnl`	Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowl. Inf. Syst. Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera
2018	—	`conf`	Semi-supervised Blockmodelling with Pairwise Guidance. ECML/PKDD (2) Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park
2018	—	`conf`	Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. BuildSys Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
2018	—	`conf`	Travel Itinerary Recommendations with Must-see Points-of-Interest. WWW (Companion Volume) Kendall Taylor, Kwan Hui Lim, Jeffrey Chan
2018	J	`jnl`	Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data. IEEE Internet Things J. Wei Shao, Flora D. Salim, Tao Gu, Ngoc-Thanh Dinh, Jeffrey Chan
2018	—	`conf`	UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features. PAKDD (2) Naif Almusallam, Zahir Tari, Jeffrey Chan, Adil AlHarthi
2018	J	`jnl`	Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. EPJ Data Sci. Yongli Ren, Martin Tomko, Flora D. Salim, Jeffrey Chan, Mark Sanderson
2017	Misc	`conf`	A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis. ADCS Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan
2017	—	`conf`	An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. ICONIP (2) Boyu Zhang, A. K. Qin, Jeffrey Chan
2017	J	`jnl`	D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. Pervasive Mob. Comput. Yongli Ren, Flora Dilys Salim, Martin Tomko, Yuntian Brian Bai, Jeffrey Chan, Kyle Kai Qin, Mark Sanderson
2017	J	`jnl`	Extending Information-Theoretic Validity Indices for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey
2017	J	`jnl`	Ground truth bias in external cluster validity indices. Pattern Recognit. Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
2017	C	`conf`	Language-Independent Twitter Classification Using Character-Based Convolutional Networks. ADMA Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan
2017	A*	`conf`	Personalized Itinerary Recommendation with Queuing Time Awareness. SIGIR Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie
2017	J	`jnl`	Shrink: Distance preserving graph compression. Inf. Syst. Amin Sadri, Flora D. Salim, Yongli Ren, Masoomeh Zameni, Jeffrey Chan, Timos Sellis
2017	A	`conf`	The Importance of Modelling Realistic Human Behaviour When Planning Evacuation Schedules. AAMAS Chaminda Bulumulla, Lin Padgham, Dhirendra Singh, Jeffrey Chan
2017	J	`jnl`	Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing. IEEE Trans. Dependable Secur. Comput. Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie
2017	J	`jnl`	rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. Knowl. Inf. Syst. Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
2016	J	`jnl`	A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning. IEEE Trans. Inf. Forensics Secur. Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin I. P. Rubinstein
2016	J	`jnl`	Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. ACM Trans. Knowl. Discov. Data Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi
2016	J	`jnl`	Can high-order dependencies improve mutual information based feature selection? Pattern Recognit. Xuan Vinh Nguyen, Shuo Zhou, Jeffrey Chan, James Bailey
2016	J	`jnl`	Discovering outlying aspects in large datasets. Data Min. Knowl. Discov. Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei
2016	J	`jnl`	Ground Truth Bias in External Cluster Validity Indices. CoRR Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
2016	A	`conf`	Improving Personalized Trip Recommendation by Avoiding Crowds. CIKM Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan
2016	A*	`conf`	MOOCs Meet Measurement Theory: A Topic-Modelling Approach. AAAI Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan
2016	—	`conf`	Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao
2016	—	`conf`	PersTour: A Personalized Tour Recommendation and Planning System. HT (Extended Proceedings) Kwan Hui Lim, Xiaoting Wang, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie, Yehui Chen, Cheong Loong Tan, Fu Quan Gao, Teh Ken Wee
2016	A*	`conf`	Towards Next Generation Touring: Personalized Group Tours. ICAPS Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera
2016	J	`jnl`	Virtual Machine Customization and Task Mapping Architecture for Efficient Allocation of Cloud Data Center Resources. Comput. J. Sareh Fotuhi Piraghaj, Rodrigo N. Calheiros, Jeffrey Chan, Amir Vahid Dastjerdi, Rajkumar Buyya
2015	A	`conf`	Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. ECIR Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera
2015	J	`jnl`	LICRE: unsupervised feature correlation reduction for lipidomics. Bioinform. Gerard Wong, Jeffrey Chan, Bronwyn A. Kingwell, Christopher Leckie, Peter J. Meikle
2015	J	`jnl`	MOOCs Meet Measurement Theory: A Topic-Modelling Approach. CoRR Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan
2015	A*	`conf`	Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. IJCAI Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera
2015	—	`conf`	Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. PAKDD (2) Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei
2014	A*	`conf`	Effective global approaches for mutual information based feature selection. KDD Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey
2014	—	`conf`	FILTA: Better View Discovery from Collections of Clusterings via Filtering. ECML/PKDD (2) Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
2014	J	`jnl`	Generalised blockmodelling of social and relational networks using evolutionary computing. Soc. Netw. Anal. Min. Jeffrey Chan, Samantha Lam, Conor Hayes
2014	C	`conf`	Generalized information theoretic cluster validity indices for soft clusterings. CIDM Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey
2014	J	`jnl`	LICRE: unsupervised feature correlation reduction for lipidomics. Bioinform. Gerard Wong, Jeffrey Chan, Bronwyn A. Kingwell, Christopher Leckie, Peter J. Meikle
2014	A*	`conf`	Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. AAAI Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
2014	—	`conf`	Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei
2014	A*	`conf`	TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. ICDM Jeffrey Chan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2014	—	`conf`	Virtual machine allocation policies against co-resident attacks in cloud computing. ICC Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie
2013	—	`conf`	A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao
2013	J	`jnl`	A time decoupling approach for studying forum dynamics. World Wide Web Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie
2013	B	`conf`	Analysing Virtual Machine Usage in Cloud Computing. SERVICES Yi Han, Jeffrey Chan, Christopher Leckie
2013	B	`conf`	Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami
2013	A	`conf`	Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2013	A	`conf`	Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. SDM James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu
2013	—	`conf`	Security Games for Virtual Machine Allocation in Cloud Computing. GameSec Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie
2012	J	`jnl`	A Time Decoupling Approach for Studying Forum Dynamics CoRR Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie
2012	A	`conf`	Mixed Membership Models for Exploring User Roles in Online Fora. ICWSM Arthur J. White, Jeffrey Chan, Conor Hayes, Thomas Brendan Murphy
2012	A	`conf`	On compressing weighted time-evolving graphs. CIKM Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao
2012	A*	`conf`	SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. KDD Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2012	A	`conf`	Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. CIKM Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao
2012	J	`jnl`	ciForager: Incrementally discovering regions of correlated change in evolving graphs. ACM Trans. Knowl. Discov. Data Jeffrey Chan, James Bailey, Christopher Leckie, Michael E. Houle
2011	A*	`conf`	Increasing the Scalability of the Fitting of Generalised Block Models for Social Networks. IJCAI Jeffrey Chan, Samantha Lam, Conor Hayes
2011	A	`conf`	Reconstruction of Threaded Conversations in Online Discussion Forums. ICWSM Erik Aumayr, Jeffrey Chan, Conor Hayes
2011	—	`conf`	The effect of user features on churn in social networks. WebSci Marcel Karnstedt, Matthew Rowe, Jeffrey Chan, Harith Alani, Conor Hayes
2010	—	`ch.`	Churn in Social Networks. Handbook of Social Network Technologies Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Partha Basuchowdhuri, Conor Hayes, Thorsten Strufe
2010	—	`conf`	Churn in Social Networks: A Discussion Boards Case Study. SocialCom/PASSAT Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Conor Hayes
2010	A	`conf`	Decomposing Discussion Forums and Boards Using User Roles. ICWSM Jeffrey Chan, Conor Hayes, Elizabeth M. Daly
2009	Misc	`conf`	A Query Based Approach for Mining Evolving Graphs. AusDM Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie
2009	—	`—`	Discovering regions of correlated change in dynamic graphs. Jeffrey Chan
2009	J	`jnl`	Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs. Intell. Data Anal. Jeffrey Chan, James Bailey, Christopher Leckie
2008	J	`jnl`	Discovering correlated spatio-temporal changes in evolving graphs. Knowl. Inf. Syst. Jeffrey Chan, James Bailey, Christopher Leckie
2006	—	`conf`	Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. ICDM Workshops Jeffrey Chan, James Bailey, Christopher Leckie
2000	J	`jnl`	The MAJC Architecture: A Synthesis of Parallelism and Scalability. IEEE Micro Marc Tremblay, Jeffrey Chan, Shailender Chaudhry, Andrew W. Conigliaro, Shing Sheung Tse