Jeffrey Chan

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 138

Top Venues

Publications

Maryam Abbasalizadeh, Jeffrey Chan, Pranathi Rayavaram, Yimin Chen, Sashank Narain
Privacy-Preserving Link Scheduling for Wireless Networks. IEEE Access 12 (2024)
Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan
Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem. CoRR (2024)
Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract). ICDE (2024)
Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie
Long-term Fairness in Ride-Hailing Platform. CoRR (2024)
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. Trans. Mach. Learn. Res. 2024 (2024)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
A survey on personalized itinerary recommendation: From optimisation to deep learning. Appl. Soft Comput. 152 (2024)
Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. CoRR (2024)
Nasrin Sultana, Jeffrey Chan, Babak Abbasi, Tabinda Sarwar, Alex Kai Qin
Learning to guide local search optimisation for routing problems. Oper. Res. Lett. 55 (2024)
Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson
E-Scooter Dynamics: Unveiling Rider Behaviours and Interactions with Road Users through Multi-Modal Data Analysis. AHs (2024)
Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan
Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. GECCO Companion (2024)
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. CoRR (2024)
Toh Yen Pang, Thomas Connelly, Frank Feltham, Chi-Tsun Cheng, Azizur Rahman, Jeffrey Chan, Luke McCarney, Katrina Neville
A Wearable Personalised Sonification and Biofeedback Device to Enhance Movement Awareness. Sensors 24 (15) (2024)
Edward Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. FAccT (2024)
Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan
Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems. GECCO (2024)
Wei Shao, Yu Zhang, Pengfei Xiao, Kyle Kai Qin, Mohammad Saiedur Rahaman, Jeffrey Chan, Bin Guo, Andy Song, Flora D. Salim
Transferrable contextual feature clusters for parking occupancy prediction. Pervasive Mob. Comput. 97 (2024)
Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson
i-Align: an interpretable knowledge graph alignment model. CoRR (2023)
Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CVPR Workshops (2023)
Bjoern Komander, Jesús Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi
Expert Finding for Citizen Science. CCIA (2023)
Ruimin Chu, Li Chik, Jeffrey Chan, Kurt Gutzmann, Xiaodong Li
Automatic meter error detection with a data-driven approach. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson
Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services. CoRR (2023)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. Appl. Soft Comput. 147 (2023)
Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
Complex Event Summarization Using Multi-Social Attribute Correlation. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. CoRR (2023)
Tabinda Sarwar, Sattar Seifollahi, Jeffrey Chan, Xiuzhen Zhang, Vural Aksakalli, Irene Lena Hudson, Karin Verspoor, Lawrence Cavedon
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges. ACM Comput. Surv. 55 (2) (2023)
Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM (2023)
Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raúl Santos-Rodríguez
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse. CoRR (2023)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. ADMA (3) (2023)
Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora D. Salim, Mark Sanderson
Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services. MDM (2023)
Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson
i-Align: an interpretable knowledge graph alignment model. Data Min. Knowl. Discov. 37 (6) (2023)
Yueqing Xuan, Kacper Sokol, Jeffrey Chan, Mark Sanderson
More Is Less: When Do Recommenders Underperform for Data-rich Users? CoRR (2023)
Guo Feng Anders Yeo, David V. Akman, Irene Lena Hudson, Jeffrey Chan
A stochastic approximation approach to fixed instance selection. Inf. Sci. 628 (2023)
Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation. CoRR (2023)
Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim
Measuring disentangled generative spatio-temporal representation. SDM (2022)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS (2022)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
Efficient itinerary recommendation via personalized POI selection and pruning. Knowl. Inf. Syst. 64 (4) (2022)
Jeffrey Chan, Hector Carrión, Rémi Mégret, Jose L. Agosto-Rivera, Tugrul Giray
Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision. VISIGRAPP (5: VISAPP) (2022)
Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri
Modelling Zeros in Blockmodelling. PAKDD (2) (2022)
Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
Event Popularity Prediction Using Influential Hashtags From Social Media. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Edward Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies. CoRR (2022)
Chaminda Bulumulla, Dhirendra Singh, Lin Padgham, Jeffrey Chan
Multi-level simulation of the physical, cognitive and social. Comput. Environ. Urban Syst. 93 (2022)
Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim
Measuring disentangled generative spatio-temporal representation. CoRR (2022)
Dilini Rajapaksha, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Mukesh Prasad, Mahendra Samarawickrama
Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019-2020 Australian Bushfires Case Study. CoRR (2022)
Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
MurTree: Optimal Decision Trees via Dynamic Programming and Search. J. Mach. Learn. Res. 23 (2022)
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin
Learning to optimise general TSP instances. Int. J. Mach. Learn. Cybern. 13 (8) (2022)
Kacper Sokol, Meelis Kull, Jeffrey Chan, Flora Dilys Salim
Ethical and Fairness Implications of Model Multiplicity. CoRR (2022)
Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. AAAI (2022)
Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang
Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract). ICDE (2022)
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data. Expert Syst. Appl. 202 (2022)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
POI recommendation with queuing time and user interest awareness. Data Min. Knowl. Discov. 36 (6) (2022)
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Alex Kai Qin
Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems. CoRR (2022)
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin
Learning to Optimise Routing Problems using Policy Optimisation. IJCNN (2021)
Ivan F. Rodriguez, Jeffrey Chan, Manuel Alvarez Rios, Kristin Branson, Jose L. Agosto-Rivera, Tugrul Giray, Rémi Mégret
Automated Video Monitoring of Unmarked and Marked Honey Bees at the Hive Entrance. Frontiers Comput. Sci. 3 (2021)
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. Kai Qin
Learning Enhanced Optimisation for Routing Problems. CoRR (2021)
Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook
MoParkeR : Multi-objective Parking Recommendation. CoRR (2021)
Jeffrey Chan, Aldo Pacchiano, Nilesh Tripuraneni, Yun S. Song, Peter L. Bartlett, Michael I. Jordan
Parallelizing Contextual Linear Bandits. CoRR (2021)
Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan, Mahsa Salehi
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns. Data Min. Knowl. Discov. 35 (2) (2021)
Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook
MoParkeR : Multi-objective Parking Recommendation. SSDBM (2021)
Naif Almusallam, Zahir Tari, Jeffrey Chan, Adil Fahad, Abdulatif Alabdulatif, Mohammed Al-Naeem
Towards an Unsupervised Feature Selection Method for Effective Dynamic Features. IEEE Access 9 (2021)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. PAKDD (2) (2021)
Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li
Bayesian preference learning for interactive multi-objective optimisation. GECCO (2021)
Nasrin Sultana, Jeffrey Chan, A. Kai Qin, Tabinda Sarwar
Learning Vehicle Routing Problems using Policy Optimisation. CoRR (2020)
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. ACM Trans. Sens. Networks 16 (3) (2020)
Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim
An Ambient-Physical System to Infer Concentration in Open-plan Workplace. CoRR (2020)
Lachlan Coff, Jeffrey Chan, Paul A. Ramsland, Andrew J. Guy
Identifying glycan motifs using a novel subtree mining approach. BMC Bioinform. 21 (1) (2020)
Kushani Perera, Jeffrey Chan, Shanika Karunasekera
A Framework for Feature Selection to Exploit Feature Group Structures. PAKDD (1) (2020)
Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. IJCNN (2020)
Nasrin Sultana, Jeffrey Chan, A. Kai Qin
Learning to Optimise General TSP Instances. CoRR (2020)
Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
MurTree: Optimal Classification Trees via Dynamic Programming and Search. CoRR (2020)
Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI (2020)
Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan
Dynamic Programming for Predict+Optimise. AAAI (2020)
Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris
Less Is More: Rejecting Unreliable Reviews for Product Question Answering. ECML/PKDD (3) (2020)
Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris
Less is More: Rejecting Unreliable Reviews for Product Question Answering. CoRR (2020)
Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim
An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. IEEE Internet Things J. 7 (12) (2020)
Muruganandam Somasundaram, Jeffrey P. Kubala, Seth E. Lederer, Jeffrey Chan
Partition placement by PR/SM. IBM J. Res. Dev. 64 (5/6) (2020)
Kushani Perera, Jeffrey Chan, Shanika Karunasekera
Group Based Unsupervised Feature Selection. PAKDD (1) (2020)
Jeffrey Chan, Andrew C. Miller, Emily B. Fox
Representing and Denoising Wearable ECG Recordings. CoRR (2020)
Kyle Kai Qin, Wei Shao, Yongli Ren, Jeffrey Chan, Flora D. Salim
Solving multiple travelling officers problem with population-based optimization algorithms. Neural Comput. Appl. 32 (16) (2020)
Wei Shao, Siyu Tan, Sichen Zhao, Kyle Kai Qin, Xinhong Hei, Jeffrey Chan, Flora D. Salim
Incorporating LSTM Auto-Encoders in Optimizations to Solve Parking Officer Patrolling Problem. ACM Trans. Spatial Algorithms Syst. 6 (3) (2020)
Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. CoRR (2020)
Elham Naghizade, Jeffrey Chan, Martin Tomko
From small sets of GPS trajectories to detailed movement profiles: quantifying personalized trip-dependent movement diversity. Int. J. Geogr. Inf. Sci. 34 (10) (2020)
Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. CoRR (2020)
Wei Shao, Jeffrey Chan, Flora D. Salim
Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks. IJCNN (2020)
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. ICDM (2020)
Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie
Tour recommendation and trip planning using location-based social media: a survey. Knowl. Inf. Syst. 60 (3) (2019)
Prarthana Padia, Kwan Hui Lim, Jeffrey Chan, Aaron Harwood
Sentiment-Aware and Personalized Tour Recommendation. IEEE BigData (2019)
Wolfgang Beyer, Adam M. Novak, Glenn Hickey, Jeffrey Chan, Vanessa Tan, Benedict Paten, Daniel R. Zerbino
Sequence tube maps: making graph genomes intuitive to commuters. Bioinform. 35 (24) (2019)
Wei Shao, Flora D. Salim, Jeffrey Chan, Kyle Kai Qin, Jiaman Ma, Bradley Feest
OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness. PerCom (2019)
Wei Shao, Flora D. Salim, Jeffrey Chan, Sean Morrison, Fabio Zambetta
Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network. CoRR (2019)
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns
An Investigation into Prediction + Optimisation for the Knapsack Problem. CPAIOR (2019)
Oscar Correa, Jeffrey Chan, Xuan Vinh Nguyen
Alternative Blockmodelling. CoRR (2019)
Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris
Discovering Relevant Reviews for Answering Product-Related Queries. ICDM (2019)
P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. ECML/PKDD (3) (2019)
Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan, Paolo Rosso
Irony detection via sentiment-based transfer learning. Inf. Process. Manag. 56 (5) (2019)
Kendall Taylor, Xiaodong Li, Jeffrey Chan
Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives. CEC (2019)
Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
Flight Delay Prediction using Airport Situational Awareness Map. CoRR (2019)
Mohammad Saiedur Rahaman, Harsh Pare, Jonathan Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Alex Sinickas
OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. PerCom Workshops (2019)
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. IJCAI (2019)
Wei Shao, Arian Prabowo, Sichen Zhao, Siyu Tan, Piotr Koniusz, Jeffrey Chan, Xinhong Hei, Bradley Feest, Flora D. Salim
Flight Delay Prediction using Airport Situational Awareness Map. SIGSPATIAL/GIS (2019)
Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson
Image Constrained Blockmodelling: A Constraint Programming Approach. SDM (2018)
Yongli Ren, Martin Tomko, Flora Dilys Salim, Jeffrey Chan, Charles L. A. Clarke, Mark Sanderson
A Location-Query-Browse Graph for Contextual Recommendation. IEEE Trans. Knowl. Data Eng. 30 (2) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jeffrey Chan