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2020 – today
- 2025
[j58]Guo Feng Anders Yeo
, Irene Lena Hudson, David V. Akman, Jeffrey Chan:
SpIS: A stochastic approximation approach to minimal subset instance selection. Inf. Sci. 695: 121738 (2025)- 2024
- [j57]Maryam Abbasalizadeh, Jeffrey Chan, Pranathi Rayavaram, Yimin Chen, Sashank Narain:
Privacy-Preserving Link Scheduling for Wireless Networks. IEEE Access 12: 109657-109672 (2024) - [j56]Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan:
LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection. IEEE Access 12: 121971-121982 (2024) - [j55]Yan Wang, Ke Deng, Yongli Ren, Jeffrey Chan, Guangjian Tian, Christian S. Jensen:
Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs. IEEE Access 12: 148090-148110 (2024) - [j54]Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
A survey on personalized itinerary recommendation: From optimisation to deep learning. Appl. Soft Comput. 152: 111200 (2024) - [j53]Nasrin Sultana, Jeffrey Chan, Babak Abbasi, Tabinda Sarwar, Alex Kai Qin:
Learning to guide local search optimisation for routing problems. Oper. Res. Lett. 55: 107136 (2024) - [j52]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: 101831 (2024) - [j51]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): 4814 (2024) - [j50]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) - [c90]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: 307-310 - [c89]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: 1559-1578 - [c88]Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan:
Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems. GECCO 2024 - [c87]Kendall Peter Taylor, Huong Ha, Minyi Li, Xiaodong Li, Jeffrey Chan:
Accelerated Bayesian Preference Learning for Efficient Evolutionary Multi-objective Optimisation. GECCO Companion 2024: 371-374 - [c86]Xi Chen, Xiangmin Zhou, Jeffrey Chan, Lei Chen, Timos Sellis, Yanchun Zhang:
Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract). ICDE 2024: 5729-5730 - [c85]Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan:
ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection. ICPR (25) 2024: 416-431 - [c84]Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie:
Long-Term Fairness in Ride-Hailing Platform. ECML/PKDD (9) 2024: 223-239 - [c83]Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan:
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. RecSys 2024: 924-928 - [i36]Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang:
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. CoRR abs/2402.03104 (2024) - [i35]Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan:
Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem. CoRR abs/2405.19184 (2024) - [i34]Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan:
CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. CoRR abs/2406.03109 (2024) - [i33]Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie:
Long-term Fairness in Ride-Hailing Platform. CoRR abs/2407.17839 (2024) - [i32]Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan:
Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse. CoRR abs/2410.02273 (2024) - [i31]Ruimin Chu, Li Chik, Yiliao Song, Jeffrey Chan, Xiaodong Li:
Real-time Fuel Leakage Detection via Online Change Point Detection. CoRR abs/2410.09741 (2024) - [i30]Lam Ngo, Huong Ha, Jeffrey Chan, Hongyu Zhang:
BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings. CoRR abs/2412.12918 (2024) - 2023
- [j49]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: 110720 (2023) - [j48]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): 33:1-33:40 (2023) - [j47]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): 2494-2516 (2023) - [j46]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): 106466 (2023) - [j45]Guo Feng Anders Yeo, David V. Akman, Irene Lena Hudson, Jeffrey Chan:
A stochastic approximation approach to fixed instance selection. Inf. Sci. 628: 558-579 (2023) - [j44]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): 11180-11195 (2023) - [c82]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: 323-337 - [c81]Bjoern Komander, Jesús Cerquides, Jaume Piera, Jeffrey Chan, Azadeh Alavi:
Expert Finding for Citizen Science. CCIA 2023: 59-69 - [c80]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: 1111-1120 - [c79]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: 255-264 - [c78]Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie:
It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM 2023: 172-180 - [i29]Yueqing Xuan, Kacper Sokol, Jeffrey Chan, Mark Sanderson:
More Is Less: When Do Recommenders Underperform for Data-rich Users? CoRR abs/2304.07487 (2023) - [i28]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 abs/2304.08721 (2023) - [i27]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 abs/2304.09779 (2023) - [i26]Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer, Mark Sanderson:
i-Align: an interpretable knowledge graph alignment model. CoRR abs/2308.13755 (2023) - [i25]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 abs/2309.04211 (2023) - [i24]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 abs/2311.03866 (2023) - 2022
- [j43]Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
POI recommendation with queuing time and user interest awareness. Data Min. Knowl. Discov. 36(6): 2379-2409 (2022) - [j42]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: 117057 (2022) - [j41]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: 26:1-26:47 (2022) - [j40]Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
Efficient itinerary recommendation via personalized POI selection and pruning. Knowl. Inf. Syst. 64(4): 963-993 (2022) - [j39]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin:
Learning to optimise general TSP instances. Int. J. Mach. Learn. Cybern. 13(8): 2213-2228 (2022) - [j38]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): 4797-4811 (2022) - [j37]Chaminda Bulumulla, Dhirendra Singh, Lin Padgham, Jeffrey Chan:
Multi-level simulation of the physical, cognitive and social. Comput. Environ. Urban Syst. 93: 101756 (2022) - [c77]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: 3749-3757 - [c76]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: 1553-1554 - [c75]Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan:
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS 2022: 105-119 - [c74]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: 187-198 - [c73]Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim:
Measuring disentangled generative spatio-temporal representation. SDM 2022: 522-530 - [c72]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: 517-525 - [i23]Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim:
Measuring disentangled generative spatio-temporal representation. CoRR abs/2202.04821 (2022) - [i22]Kacper Sokol, Meelis Kull, Jeffrey Chan, Flora Dilys Salim:
Ethical and Fairness Implications of Model Multiplicity. CoRR abs/2203.07139 (2022) - [i21]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Alex Kai Qin:
Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems. CoRR abs/2205.15656 (2022) - [i20]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 abs/2207.04581 (2022) - [i19]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 abs/2210.09034 (2022) - 2021
- [b1]Jeffrey Chan:
Scalable Machine Learning Algorithms for Biological Sequence Data. University of California, Berkeley, USA, 2021 - [j36]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: 77149-77163 (2021) - [j35]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): 450-504 (2021) - [j34]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: 769338 (2021) - [c71]Kendall Taylor, Huong Ha, Minyi Li, Jeffrey Chan, Xiaodong Li:
Bayesian preference learning for interactive multi-objective optimisation. GECCO 2021: 466-475 - [c70]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, A. Kai Qin:
Learning to Optimise Routing Problems using Policy Optimisation. IJCNN 2021: 1-8 - [c69]Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. PAKDD (2) 2021: 510-523 - [c68]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: 237-242 - [i18]Jeffrey Chan, Aldo Pacchiano, Nilesh Tripuraneni, Yun S. Song, Peter L. Bartlett, Michael I. Jordan:
Parallelizing Contextual Linear Bandits. CoRR abs/2105.10590 (2021) - [i17]Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook:
MoParkeR : Multi-objective Parking Recommendation. CoRR abs/2106.07384 (2021) - [i16]Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar, Babak Abbasi, A. Kai Qin:
Learning Enhanced Optimisation for Routing Problems. CoRR abs/2109.08345 (2021) - 2020
- [j33]Lachlan Coff, Jeffrey Chan, Paul A. Ramsland, Andrew J. Guy:
Identifying glycan motifs using a novel subtree mining approach. BMC Bioinform. 21(1): 42 (2020) - [j32]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): 2004-2029 (2020) - [j31]Muruganandam Somasundaram, Jeffrey P. Kubala, Seth E. Lederer, Jeffrey Chan:
Partition placement by PR/SM. IBM J. Res. Dev. 64(5/6): 11:1-11:7 (2020) - [j30]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): 11576-11586 (2020) - [j29]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): 12033-12059 (2020) - [j28]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): 28:1-28:25 (2020) - [j27]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): 20:1-20:21 (2020) - [c67]Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan:
Dynamic Programming for Predict+Optimise. AAAI 2020: 1444-1451 - [c66]Yuan Sun, Wei Wang, Michael Kirley, Xiaodong Li, Jeffrey Chan:
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection. AAAI 2020: 5908-5915 - [c65]Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie:
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. ICDM 2020: 1160-1165 - [c64]Wei Shao, Jeffrey Chan, Flora D. Salim:
Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks. IJCNN 2020: 1-8 - [c63]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: 1-7 - [c62]Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
A Framework for Feature Selection to Exploit Feature Group Structures. PAKDD (1) 2020: 792-804 - [c61]Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
Group Based Unsupervised Feature Selection. PAKDD (1) 2020: 805-817 - [c60]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: 567-583 - [i15]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 abs/2005.13535 (2020) - [i14]Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau, Jeffrey Chan, Cécile Paris:
Less is More: Rejecting Unreliable Reviews for Product Question Answering. CoRR abs/2007.04526 (2020) - [i13]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 abs/2007.12652 (2020) - [i12]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 abs/2008.11400 (2020) - [i11]Nasrin Sultana, Jeffrey Chan, A. Kai Qin:
Learning to Optimise General TSP Instances. CoRR abs/2010.12214 (2020) - [i10]Jeffrey Chan, Andrew C. Miller, Emily B. Fox:
Representing and Denoising Wearable ECG Recordings. CoRR abs/2012.00110 (2020) - [i9]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 abs/2012.02342 (2020) - [i8]Nasrin Sultana, Jeffrey Chan, A. Kai Qin, Tabinda Sarwar:
Learning Vehicle Routing Problems using Policy Optimisation. CoRR abs/2012.13269 (2020)
2010 – 2019
- 2019
- [j26]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): 5318-5320 (2019) - [j25]Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan, Paolo Rosso:
Irony detection via sentiment-based transfer learning. Inf. Process. Manag. 56(5): 1633-1644 (2019) - [j24]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): 1247-1275 (2019) - [c59]Prarthana Padia, Kwan Hui Lim, Jeffrey Chan, Aaron Harwood:
Sentiment-Aware and Personalized Tour Recommendation. IEEE BigData 2019: 900-909 - [c58]Kendall Taylor, Xiaodong Li, Jeffrey Chan:
Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives. CEC 2019: 2442-2449 - [c57]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: 241-257 - [c56]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: 432-435 - [c55]Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris:
Discovering Relevant Reviews for Answering Product-Related Queries. ICDM 2019: 1468-1473 - [c54]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: 1078-1085 - [c53]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: 192-201 - [c52]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: 415-418 - [c51]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: 339-355 - [i7]Wei Shao, Flora D. Salim, Jeffrey Chan, Sean Morrison, Fabio Zambetta:
Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network. CoRR abs/1903.03348 (2019) - [i6]Oscar Correa, Jeffrey Chan, Xuan Vinh Nguyen:
Alternative Blockmodelling. CoRR abs/1908.02575 (2019) - [i5]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 abs/1911.01605 (2019) - 2018
- [j23]Yongli Ren, Martin Tomko, Flora D. Salim, Jeffrey Chan, Mark Sanderson:
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces. EPJ Data Sci. 7(1): 1 (2018) - [j22]Wei Shao, Flora D. Salim, Tao Gu, Ngoc-Thanh Dinh, Jeffrey Chan:
Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data. IEEE Internet Things J. 5(2): 802-810 (2018) - [j21]Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowl. Inf. Syst. 54(2): 375-406 (2018) - [j20]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): 204-218 (2018) - [c50]Chaminda Bulumulla, Jeffrey Chan, Lin Padgham:
Enhancing Diffusion Models by Embedding Cognitive Reasoning. ASONAM 2018: 744-749 - [c49]Wei Shao, Yu Zhang, Bin Guo, Kyle Kai Qin, Jeffrey Chan, Flora D. Salim:
Parking Availability Prediction with Long Short Term Memory Model. GPC 2018: 124-137 - [c48]Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song:
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks. NeurIPS 2018: 8603-8614 - [c47]Kushani Perera, Jeffrey Chan, Shanika Karunasekera:
Feature Selection for Multiclass Binary Data. PAKDD (3) 2018: 52-63 - [c46]Bilih Priyogi, Mark Sanderson, Flora D. Salim, Jeffrey Chan, Martin Tomko, Yongli Ren:
Identifying In-App User Actions from Mobile Web Logs. PAKDD (2) 2018: 300-311 - [c45]Elham Naghizade, Jeffrey Chan, Yongli Ren, Martin Tomko:
Contextual Location Imputation for Confined WiFi Trajectories. PAKDD (2) 2018: 444-457 - [c44]Naif Almusallam, Zahir Tari, Jeffrey Chan, Adil AlHarthi:
UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features. PAKDD (2) 2018: 495-507 - [c43]Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Learning to Rank Items of Minimal Reviews Using Weak Supervision. PAKDD (1) 2018: 631-643 - [c42]Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Identifying Singleton Spammers via Spammer Group Detection. PAKDD (1) 2018: 656-667 - [c41]Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park:
Semi-supervised Blockmodelling with Pairwise Guidance. ECML/PKDD (2) 2018: 158-174 - [c40]Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson:
Image Constrained Blockmodelling: A Constraint Programming Approach. SDM 2018: 19-27 - [c39]Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson:
Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs. BuildSys 2018: 130-139 - [c38]Kendall Taylor, Kwan Hui Lim, Jeffrey Chan:
Travel Itinerary Recommendations with Must-see Points-of-Interest. WWW (Companion Volume) 2018: 1198-1205 - [i4]Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson, Yun S. Song:
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks. CoRR abs/1802.06153 (2018) - 2017
- [j19]Amin Sadri, Flora D. Salim, Yongli Ren, Masoomeh Zameni, Jeffrey Chan, Timos Sellis:
Shrink: Distance preserving graph compression. Inf. Syst. 69: 180-193 (2017) - [j18]Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. Knowl. Inf. Syst. 52(1): 179-219 (2017) - [j17]Yongli Ren, Flora Dilys Salim, Martin Tomko, Yuntian Brian Bai, Jeffrey Chan, Kyle Kai Qin, Mark Sanderson:
D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate. Pervasive Mob. Comput. 37: 94-114 (2017) - [j16]Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Ground truth bias in external cluster validity indices. Pattern Recognit. 65: 58-70 (2017) - [j15]Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie:
Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing. IEEE Trans. Dependable Secur. Comput. 14(1): 95-108 (2017) - [j14]Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey:
Extending Information-Theoretic Validity Indices for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 25(4): 1013-1018 (2017) - [c37]Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan:
A Word-Character Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis. ADCS 2017: 12:1-12:4 - [c36]Shiwei Zhang, Xiuzhen Zhang, Jeffrey Chan:
Language-Independent Twitter Classification Using Character-Based Convolutional Networks. ADMA 2017: 413-425 - [c35]Chaminda Bulumulla, Lin Padgham, Dhirendra Singh, Jeffrey Chan:
The Importance of Modelling Realistic Human Behaviour When Planning Evacuation Schedules. AAMAS 2017: 446-454 - [c34]Boyu Zhang, A. Kai Qin, Jeffrey Chan:
An Efficient Binary Search Based Neuron Pruning Method for ConvNet Condensation. ICONIP (2) 2017: 189-197 - [c33]Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie:
Personalized Itinerary Recommendation with Queuing Time Awareness. SIGIR 2017: 325-334 - 2016
- [j13]Sareh Fotuhi Piraghaj, Rodrigo N. Calheiros, Jeffrey Chan, Amir Vahid Dastjerdi, Rajkumar Buyya:
Virtual Machine Customization and Task Mapping Architecture for Efficient Allocation of Cloud Data Center Resources. Comput. J. 59(2): 208-224 (2016) - [j12]Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Discovering outlying aspects in large datasets. Data Min. Knowl. Discov. 30(6): 1520-1555 (2016) - [j11]Xuan Vinh Nguyen, Shuo Zhou, Jeffrey Chan, James Bailey:
Can high-order dependencies improve mutual information based feature selection? Pattern Recognit. 53: 46-58 (2016) - [j10]Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin I. P. Rubinstein:
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. 11(3): 556-570 (2016) - [j9]Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi:
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. ACM Trans. Knowl. Discov. Data 11(2): 24:1-24:40 (2016) - [c32]Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan:
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. AAAI 2016: 1195-1201 - [c31]Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Towards Next Generation Touring: Personalized Group Tours. ICAPS 2016: 412-420 - [c30]Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan:
Improving Personalized Trip Recommendation by Avoiding Crowds. CIKM 2016: 25-34 - [c29]Kwan Hui Lim, Xiaoting Wang, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie, Yehui Chen, Cheong Loong Tan, Fu Quan Gao, Teh Ken Wee:
PersTour: A Personalized Tour Recommendation and Planning System. HT (Extended Proceedings) 2016 - [c28]Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao:
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) 2016: 162-178 - [i3]Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Ground Truth Bias in External Cluster Validity Indices. CoRR abs/1606.05596 (2016) - 2015
- [j8]Gerard Wong, Jeffrey Chan, Bronwyn A. Kingwell, Christopher Leckie, Peter J. Meikle:
LICRE: unsupervised feature correlation reduction for lipidomics. Bioinform. 31(4): 619 (2015) - [c27]Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. ECIR 2015: 489-494 - [c26]Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. IJCAI 2015: 1778-1784 - [c25]Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. PAKDD (2) 2015: 422-434 - [i2]Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan:
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. CoRR abs/1511.07961 (2015) - 2014
- [j7]Gerard Wong, Jeffrey Chan, Bronwyn A. Kingwell, Christopher Leckie, Peter J. Meikle:
LICRE: unsupervised feature correlation reduction for lipidomics. Bioinform. 30(19): 2832-2833 (2014) - [j6]Jeffrey Chan, Samantha Lam, Conor Hayes:
Generalised blockmodelling of social and relational networks using evolutionary computing. Soc. Netw. Anal. Min. 4(1): 155 (2014) - [c24]Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. AAAI 2014: 2092-2098 - [c23]Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey:
Generalized information theoretic cluster validity indices for soft clusterings. CIDM 2014: 24-31 - [c22]Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie:
Virtual machine allocation policies against co-resident attacks in cloud computing. ICC 2014: 786-792 - [c21]Jeffrey Chan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. ICDM 2014: 737-742 - [c20]Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey:
Effective global approaches for mutual information based feature selection. KDD 2014: 512-521 - [c19]Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) 2014: 362-373 - [c18]Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
FILTA: Better View Discovery from Collections of Clusterings via Filtering. ECML/PKDD (2) 2014: 145-160 - 2013
- [j5]Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A time decoupling approach for studying forum dynamics. World Wide Web 16(5-6): 595-620 (2013) - [c17]Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM 2013: 811-816 - [c16]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE 2013 - [c15]Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie:
Security Games for Virtual Machine Allocation in Cloud Computing. GameSec 2013: 99-118 - [c14]Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao:
A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) 2013: 483-498 - [c13]James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu:
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. SDM 2013: 614-622 - [c12]Yi Han, Jeffrey Chan, Christopher Leckie:
Analysing Virtual Machine Usage in Cloud Computing. SERVICES 2013: 370-377 - 2012
- [j4]Jeffrey Chan, James Bailey, Christopher Leckie, Michael E. Houle:
ciForager: Incrementally discovering regions of correlated change in evolving graphs. ACM Trans. Knowl. Discov. Data 6(3): 11:1-11:50 (2012) - [c11]Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. CIKM 2012: 435-444 - [c10]Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao:
On compressing weighted time-evolving graphs. CIKM 2012: 2319-2322 - [c9]Arthur J. White, Jeffrey Chan, Conor Hayes, Thomas Brendan Murphy:
Mixed Membership Models for Exploring User Roles in Online Fora. ICWSM 2012 - [c8]Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. KDD 2012: 651-659 - [i1]Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A Time Decoupling Approach for Studying Forum Dynamics. CoRR abs/1201.2277 (2012) - 2011
- [c7]Erik Aumayr, Jeffrey Chan, Conor Hayes:
Reconstruction of Threaded Conversations in Online Discussion Forums. ICWSM 2011 - [c6]Jeffrey Chan, Samantha Lam, Conor Hayes:
Increasing the Scalability of the Fitting of Generalised Block Models for Social Networks. IJCAI 2011: 1218-1224 - [c5]Marcel Karnstedt, Matthew Rowe, Jeffrey Chan, Harith Alani, Conor Hayes:
The effect of user features on churn in social networks. WebSci 2011: 23:1-23:8 - 2010
- [c4]Jeffrey Chan, Conor Hayes, Elizabeth M. Daly:
Decomposing Discussion Forums and Boards Using User Roles. ICWSM 2010 - [c3]Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Conor Hayes:
Churn in Social Networks: A Discussion Boards Case Study. SocialCom/PASSAT 2010: 233-240 - [p1]Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Partha Basuchowdhuri, Conor Hayes, Thorsten Strufe:
Churn in Social Networks. Handbook of Social Network Technologies 2010: 185-220
2000 – 2009
- 2009
- [j3]Jeffrey Chan, James Bailey, Christopher Leckie:
Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs. Intell. Data Anal. 13(5): 755-793 (2009) - [c2]Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie:
A Query Based Approach for Mining Evolving Graphs. AusDM 2009: 139-150 - 2008
- [j2]Jeffrey Chan, James Bailey, Christopher Leckie:
Discovering correlated spatio-temporal changes in evolving graphs. Knowl. Inf. Syst. 16(1): 53-96 (2008) - 2006
- [c1]Jeffrey Chan, James Bailey, Christopher Leckie:
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. ICDM Workshops 2006: 361-365 - 2000
- [j1]Marc Tremblay, Jeffrey Chan, Shailender Chaudhry, Andrew W. Conigliaro, Shing Sheung Tse:
The MAJC Architecture: A Synthesis of Parallelism and Scalability. IEEE Micro 20(6): 12-25 (2000)
Coauthor Index
Christopher Leckie
aka: Chris Leckie
aka: Chris Leckie
[j56] [c85] [c84] [i33] [c82] [c78] [j42] [j41] [c77] [c75] [c74] [c67] [c65] [c63] [i13] [i9] [j24] [c57] [c54] [j21] [c41] [c40] [j15] [c33] [j12] [j10] [j9] [c31] [c30] [c29] [c28] [j8] [c27] [c26] [c25] [j7] [c22] [c21] [c19] [j5] [c17] [c16] [c15] [c14] [c13] [c12] [j4] [c11] [c10] [c8] [i1] [j3] [c2] [j2] [c1]
Kotagiri Ramamohanarao
aka: Rao Kotagiri
aka: Rao Kotagiri
Flora D. Salim
aka: Flora Dilys Salim
aka: Flora Dilys Salim
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