Jeffrey Chan
Orcid: 0000-0002-7865-072X
According to our database1,
Jeffrey Chan
authored at least 149 papers
between 2000 and 2024.
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Bibliography
2024
CoRR, 2024
2023
IEEE Trans. Knowl. Data Eng., November, 2023
Data Min. Knowl. Discov., November, 2023
Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy.
Appl. Soft Comput., November, 2023
Inf. Sci., May, 2023
Eng. Appl. Artif. Intell., 2023
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges.
ACM Comput. Surv., 2023
CoRR, 2023
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness.
CoRR, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Artificial Intelligence Research and Development, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
Comput. Environ. Urban Syst., 2022
IEEE Trans. Knowl. Data Eng., 2022
Knowl. Inf. Syst., 2022
J. Mach. Learn. Res., 2022
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data.
Expert Syst. Appl., 2022
Data Min. Knowl. Discov., 2022
Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019-2020 Australian Bushfires Case Study.
CoRR, 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies.
CoRR, 2022
CoRR, 2022
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection.
Proceedings of the Network and System Security - 16th International Conference, 2022
Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Frontiers Comput. Sci., 2021
Detecting singleton spams in reviews via learning deep anomalous temporal aspect-sentiment patterns.
Data Min. Knowl. Discov., 2021
IEEE Access, 2021
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021
Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Incorporating LSTM Auto-Encoders in Optimizations to Solve Parking Officer Patrolling Problem.
ACM Trans. Spatial Algorithms Syst., 2020
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors.
ACM Trans. Sens. Networks, 2020
Solving multiple travelling officers problem with population-based optimization algorithms.
Neural Comput. Appl., 2020
IEEE Internet Things J., 2020
From small sets of GPS trajectories to detailed movement profiles: quantifying personalized trip-dependent movement diversity.
Int. J. Geogr. Inf. Sci., 2020
BMC Bioinform., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Knowl. Inf. Syst., 2019
Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network.
CoRR, 2019
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019
OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness.
Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019
Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
IEEE Trans. Knowl. Data Eng., 2018
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency.
Knowl. Inf. Syst., 2018
Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data.
IEEE Internet Things J., 2018
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces.
EPJ Data Sci., 2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs.
Proceedings of the 5th Conference on Systems for Built Environments, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
IEEE Trans. Fuzzy Syst., 2017
Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing.
IEEE Trans. Dependable Secur. Comput., 2017
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate.
Pervasive Mob. Comput., 2017
rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking.
Knowl. Inf. Syst., 2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
The Importance of Modelling Realistic Human Behaviour When Planning Evacuation Schedules.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Language-Independent Twitter Classification Using Character-Based Convolutional Networks.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis.
Proceedings of the 22nd Australasian Document Computing Symposium, 2017
2016
ACM Trans. Knowl. Discov. Data, 2016
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., 2016
Pattern Recognit., 2016
Virtual Machine Customization and Task Mapping Architecture for Efficient Allocation of Cloud Data Center Resources.
Comput. J., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Late-breaking Results, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints.
Proceedings of the Advances in Information Retrieval, 2015
2014
Generalised blockmodelling of social and relational networks using evolutionary computing.
Soc. Netw. Anal. Min., 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the IEEE International Conference on Communications, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the IEEE Ninth World Congress on Services, 2013
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Decision and Game Theory for Security - 4th International Conference, 2013
Proceedings of the FUZZ-IEEE 2013, 2013
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
ciForager: Incrementally discovering regions of correlated change in evolving graphs.
ACM Trans. Knowl. Discov. Data, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the Web Science 2011, 2011
Increasing the Scalability of the Fitting of Generalised Block Models for Social Networks.
Proceedings of the IJCAI 2011, 2011
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
2010
Proceedings of the Handbook of Social Network Technologies and Applications, 2010
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010
2009
Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs.
Intell. Data Anal., 2009
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009
2008
Knowl. Inf. Syst., 2008
2006
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2000