Publications
Journal Papers
  1. Fine-grained OD estimation with automated zoning and sparsity regularisation. AK Menon, C Cai, W Wang, T Wen, F Chen. Transportation Research Part B: Methodological. 2015
  2. Time-Variant Travel Time Prediction Model and Its Application in a Cooperative Traffic Control System. C Cai, Y Wang, G Geers. Transportation Research Record: Journal of the Transportation Research Board. 2013
  3. Vehicle-to-infrastructure communication-based adaptive traffic signal control. C Cai, Y Wang, G Geers. Intelligent Transport Systems. 2013
  4. A Clustering Approach for Structural Health Monitoring on Bridges. AD Olivan, K Nguyen, MM Alamdari, Y Wang, F Chen, P Runcie. Journal of Civil Structural Health Monitoring. 2016
  5. Constrained Differential Evolution using Generalized Opposition-based Learning. W Wei, J Zhou, F Chen, Y Huaqiang. Soft Computing. 2016
  6. Making Machine Learning Useable. J Zhou, F Chen. International Journal of Intelligent Systems Technologies and Applications. 2015
  7. Estimating Human Physical States from Chronological Gait Features Acquired with RFID Technology. Y Uemura, J Zhou, Y Kajiwara, F Chen, H Shimakawa. Sensors & Transducers. 2015
  8. Robust Dimensionality Reduction and Damage Detection Approaches in Structural Health Monitoring. K Nguyen, M Zhang, Y Wang, F Chen, S Mustapha. International Journal of Structural Health Monitoring. 2014
  9. Multi-Label Image Classification via High Order Label Correlation Driven Active Learning. M Zhang, Y Wang, F Chen. IEEE Transactions on Image Processing (TIP). 2014
  10. Mutual Information-Based Method for Selecting Informative Feature Sets. G Herman, G Ye, M Zhang, Y Wang, F Chen. Pattern Recognition (PR). 2013
  11. Estimating cognitive workload using wavelet entropy-based features during an arithmetic task. P Zarjam, J Epps, F Chen, N Lovell. Computers in Biology and Medicine. 2013
  12. Water Pipe Condition Assessment: A Hierarchical Beta Process Approach for Sparse Incident Data. Z Li, M Zhang, Y Wang, F Chen, V Whiffin, R Taib, Y Wang. Machine Learning. 2013
  13. Visual tracking by salient proto-objects. Z Li, W Wang, Y Wang, F Chen, Y Wang. Pattern Recognition (PR). 2013
  14. An Investigation of Pupil-based Cognitive Load Measurement with Low Cost Infrared Webcam under Light Reflex Interference. S Chen, J Epps, F Chen. IEEE Engineering in Medicine and Biology Society. 2013
  15. Automatic Cognitive Load Detection from Face, Physiology, Task Performance and Fusion during Affective Interference. S Hussain, R Calvo, F Chen. Interacting with Computers. 2013
  16. Multimodal Behavior and Interaction as Indicators of Cognitive Load. F Chen, N Ruiz, MA Khawaja, H Choi, J Epps, R Taib, B Yin, Y Wang. ACM Transactions on Interactive Intelligent Systems. 2013
  17. Language-dependent Contribution Measuring and Weighting for Combining Likelihood Scores in Language Identification Systems. B Yin, E Ambikairajah, F Chen. Signal Processing Systems. 2010
  18. Designing Cognition-Adaptive Human–Computer Interface for Mission-Critical Systems. Y Shi, H Choi, R Taib, F Chen. Information Systems Development. 2010
  19. Outcome of H1N1 Pneumonia in a Tertiary Care ICU From South India. YE Varghese, AK Menon, A Sukumara, MS Kalaiselvan, AS Kumar. Intensive Care Medicine. 2014
  20. Detecting inappropriate access to electronic health records using collaborative filtering. AK Menon, X Jiang, J Kim, J Vaidya, L Ohno-Machado. Machine learning. 2014
  21. Beam search algorithms for multilabel learning. A Kumar, S Vembu, AK Menon, C Elkan. Machine learning. 2013
  22. Learning and inference in probabilistic classifier chains with beam search. A Kumar, S Vembu, AK Menon, C Elkan. Machine Learning and Knowledge Discovery in Databases. 2012
  23. Link prediction via matrix factorization. AK Menon, C Elkan. Machine Learning and Knowledge Discovery in Databases. 2011
  24. Fast algorithms for approximating the singular value decomposition. AK Menon, C Elkan. ACM Transactions on Knowledge Discovery from Data (TKDD). 2011
  25. Predicting labels for dyadic data. AK Menon, C Elkan. Data Mining and Knowledge Discovery. 2010
  26. Supervised Machine Learning and Active Learning in Classification of Radiology Reports. H Nguyen, J Patrick. Journal of the American Medical Informatics Association. 2014
  27. Using NLP to identify cancer cases in imaging reports drawn from radiology information systems. J Patrick, P Asgari, M Li, H Nguyen. Health Informatics: Digital Health Service Delivery – The Future Is Now. 2013
  28. Computational recognition of SNOMED CT codes from ED case notes. J Patrick, H Nguyen, T Wang, R Paoloni. Health Informatics: Building a Healthcare Future through Trusted Information. 2012
  29. A knowledge discovery and reuse pipeline for information extraction in clinical notes. JD Patrick, H Nguyen, Y Wang, M Li. Journal of the American Medical Informatics Association. 2011
  30. An agent-based system to build project memories during engineering projects. D Monticolo, S Mihaita, H Darwich, V Hilaire. Knowledge-Based Systems. 2014
  31. A Multi Agent System to Manage Ideas during Collaborative Creativity Workshops. D Monticolo, S Mihaita. International Journal of Future Computer and Communication. 2014
  32. Simulation à événements discrets en temps continu pour la commande orientée événements des systèmes stochastiques à commutation. S Mihaita, S Mocanu. Journal Européen des Systèmes Automatisés. 2011
  33. The Minimal Entropy Martingale Measure for Exponential Markov Chains. Y Lee, T Rheinländer. Journal of Applied Probability. 2013
  34. Optimal martingale measures for default-able assets. Y Lee, T Rheinländer. Stochastic Processes and their Applications. 2012
  35. Coupled Behavior Analysis With Applications. L Cao, Y Ou, P Yu. IEEE Transactions on Knowledge and Data Engineering. 2012
  36. Multimodal Input. N Ruiz, F Chen, S Oviatt. Multimodal Signal Processing For Human Computer Interaction. 2010
  37. Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An algorithm for joint optimization of discrimination and calibration. X Jiang, A Menon, S Wang, J Kim, L Ohno-Machado. PloS ONE. 2012
Conference Papers
  1. A Strategic User Equilibrium for Independently Distributed Origin-Destination Demands. T Wen, C Cai, L Gardner, V Dixit, ST Waller, F Chen. Transportation Research Board 95th Annual Meeting. 2016
  2. Estimate Link Speed Distribution from Probe Vehicle Data. ZG Li, C Cai, AK Menon, Y Xu, F Chen. Transportation Research Board 95th Annual Meeting. 2016
  3. Unsupervised Detection of Drivers’ Behavior Patterns. Z Li, C Cai. Australasian Transport Research Forum (ATRF). 2015
  4. A Maximum Likelihood Estimation of Trip Tables for the Strategic User Equilibrium Model. T Wen, C Cai, L Gardner, V Dixit, ST Waller, F Chen. Transportation Research Board 94th Annual Meeting. 2015
  5. An approach to sparse, fine-grained OD estimation. AK Menon, C Cai, W Wang, T Wen, F Chen. Transportation Research Board (TRB) 94th Annual Meeting. 2015
  6. Adaptive traffic signal control using wireless communications. C Cai, Y Wang, G Geers. Transportation Research Board 91st Annual Meeting. 2012
  7. Quantifying the exact impact of state estimation error on traffic signal control. C Cai, Y Wang, G Geers. Proceedings of the 4th ACM SIGSPATIAL International Workshop. 2011
  8. Adaptive signal-vehicle cooperative controlling system. T Le, C Cai, T Walsh. Intelligent Transportation Systems (ITSC), 14th International IEEE. 2011
  9. Traffic state estimation and signal control performance. C Cai, Y Wang, G Geers. Transportation Research Board 90th Annual Meeting. 2011
  10. A new feature for approximate dynamic programming traffic light controller. T Le, C Cai. Proceedings of the Second International Workshop on Computational. 2010
  11. Adaptive traffic signal control using vehicle-to-infrastructure communication: a technical note. C Cai, Y Wang, G Geers. Proceedings of the Second International Workshop on Computational. 2010
  12. Approximate dynamic programming controller for multiple intersections. C Cai, T Le. Proceedings 12th World Conference Transport Research. 2010
  13. Misplaced Trust: A Bias in Human-Machine Trust Attribution – In Contradiction to Learning Theory. D Conway, F Chen, K Yu, J Zhou, R Morris. CHI. 2016
  14. TrafficWatch: Real-time Traffic Incident Detection and Monitoring Using Social Media. H Nguyen, W Liu, P Rivera, F Chen, D Yee. Pacific-Asia Conference on Knowledge Discovery and Data Mining. 2016
  15. Who will be affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. L Luo, B Li, S Berkovsky, I Koprinska, F Chen. The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD-16). 2016
  16. The Ostomachion Process. X Fan, B Li, Yi Wang, Y Wang, F Chen. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16). 2016
  17. Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making. S Arshad, J Zhou, C Bridon, F Chen, Y Wang. OzCHI. 2015
  18. Multi-level Data Analytics for Risk Water Pipe Selection. B Li, M Zhang, Z Li, Y Wang, F Chen. IWA Leading-Edge Strategic Asset Management (LESAM-15). 2015
  19. Safety-Oriented Visual Analytics of People Movement. J Zhou, J Sun, F Chen, X Wang, X Miao. IEEE Conference on Visual Analytics Science and Technology. 2015
  20. Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach. P Lin, M Zhang, Y Wang, Z Li, B Li, Y Wang, F Chen. The 24th ACM International Conference on Information and Knowledge Management. 2015
  21. Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features. J Zhou, JY Jung, F Chen. IFIP TC13 Conference on Human-Computer Interaction. 2015
  22. Metadata Dependent Mondrian Processes. Y Wang, B Li, Y Wang, F Chen. International Conference on Machine Learning. 2015
  23. Interactive Mouse Stream as Real-Time Indicator of User's Cognitive Load. S Arshad, Y Wang, F Chen. International Conference on Human Factors in Computing Systems. 2015
  24. On Damage Identification in Civil Structures Using Tensor Analysis. K Nguyen, M Zhang, Y Wang, W Liu, F Chen, S Mustapha, P Runcie. The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining. 2015
  25. Trust and Cognitive Load in the Text-Chat Environment: The Role of Mouse Movement. A Khawaji, F Chen, J Zhou, N Marcus. OzCHI. 2014
  26. Combining Empirical and Machine Learning Techniques to Predict Math Expertise using Pen Signal Features. J Zhou, K Hang, S Oviatt, K Yu, F Chen. Proceedings of the 2014 ACM workshop on Multimodal Learning Analytics Workshop and Grand Challenge. 2014
  27. Improved Incident Management through Anomaly Detection in Historical Records. R Taib, D Yee, F Chen, W Liu. ITS World Congress. 2014
  28. Use of machine learning for improved incident management outcomes. R Taib, D Yee, F Chen, W Liu. ITS Asia Pacific Forum. 2014
  29. Analysing Mouse activity for Cognitive Load detection. S Arshad, Y Wang, F Chen. OzCHI. 2013
  30. A Bayesian Classifier for Learning from Tensorial Data. W Liu, J Bailey, C Leckie, F Chen, R Kotagiri. ECML PKDD. 2013
  31. Improving Safety through Driver Mental State Monitoring. R Taib, G Geers, K Yu, F Chen. Australian ITS Summit. 2013
  32. Mental Workload Classification via Online Writing Features. K Yu, J Epps, F Chen. International Conference on Document Analysis and Recognition. 2013
  33. GSR and Blink Features for Cognitive Load Classification. N Nourbakhsh, Y Wang, F Chen. INTERACT. 2013
  34. The Effect of Stress on Cognitive Workload Measurement. D Conway, I Dick, Z Li, Y Wang, F Chen. IFIP TC13 Conference on Human-Computer Interaction (Interact). 2013
  35. Automatic and Continuous User Task Analysis via Eye Activity. S Chen, J Epps, F Chen. International Conference on Intelligent User Interfaces (IUI). 2013
  36. Indexing Cognitive Workload Based on Pupillary Response under Luminance and Emotional Changes. W Wang, Z Li, Y Wang, F Chen. International Conference on Intelligent User Interface (IUI). 2013
  37. Transparent Machine Learning — Revealing Internal States of Machine Learning. J Zhou, Z Li, Y Wang, F Chen. IUI 2013 Workshop on Interactive Machine Learning. 2013
  38. A Weakly Supervised Approach for Object Detection Based on Soft-Label Boosting. W Wang, Y Wang, F Chen, A Sowmya. IEEE Workshop on Applications of Computer Vision (WACV). 2013
  39. Using Galvanic Skin Response for Cognitive Load Measurement in Arithmetic and Reading Tasks. N Nourbakhsh, Y Wang, F Chen, R Calvo. 24th Australian Computer-Human Interaction Conference (OzCHI). 2012
  40. Classification of Working Memory Load using Wavelet Complexity Features of EEG Signals. P Zarjam, J Epps, F Chen, N Lovell. International Conference on Neural Information Processing (ICONIP). 2012
  41. Automatic Cognitive Load Detection from Face, Physiology, Task Performance and Fusion during Affective Interference. S Hussain, R Calvo, F Chen. Research Conversazione. 2012
  42. Characterization of Memory Load in an Arithmetic Task using Non-Linear Analysis of EEG Signals. P Zarjam, J Epps, N Lovell, F Chen. IEEE International Conference on Engineering in Medicine & Biology (EMBC). 2012
  43. A Comparison of Four Methods for Cognitive Load Measurement. S Chen, J Epps, F Chen. OZCHI Australian Conference on Computer-Human Interaction. 2011
  44. Investigating the Effect of Cognitive Load on UX: A Driving Study. N Ruiz, B Yin, F Chen, J Jung, A Maier, A Gross. 3rd International Conference on Automotive User Interfaces and Interactive Vehicular. 2011
  45. Spectral EEG Features for Evaluating Cognitive Load. P Zarjam, J Epps, F Chen. IEEE Engineering in Medicine & Biology Conference (EMBC). 2011
  46. Classification of Cognitive Load from Task Performance & Multichannel Physiology during Affective Changes. S Hussain, S Chen, F Chen, R Calvo. MMCogEmS: Inferring Cognitive and Emotional States from Multimodal Measures in conjunction with International Conference on Multimodal Interaction (ICMI). 2011
  47. Cognitive Load Evaluation with Pen Orientation and Pressure. K Yu, J Epps, F Chen. MMCogEms: Infering Cognitive and Emotional States from Multimodal Measures. 2011
  48. Cognitive Skills Learning: Pen Input Patterns in Computer-Based Athlete Training. N Ruiz, QQ Feng, R Taib, D Farrow, F Chen. 12th International Conference on Multimodal Interfaces. 2011
  49. Freeform Pen-Input as Evidence of Cognitive Load and Expertise. N Ruiz, R Taib, F Chen. ICMI Proceedings of the 13th international conference on multimodal interfaces. 2011
  50. Pupillary Response Based Cognitive Workload Measurement under Luminance Changes. J Xu, Y Wang, F Chen, H Choi. IFIP TC13 Conference on Human-Computer Interaction (Interact). 2011
  51. Measuring Cognitive Workload with Low-Cost Electroencephalograph. A Knoll, Y Wang, F Chen, J Xu, N Ruiz, J Epps, P Zarjam. IFIP TC13 Conference on Human-Computer Interaction (Interact). 2011
  52. Characterising Working Memory Load using EEG Delta Activity. P Zarjam, J Epps, F Chen. European Signal Processing Conference (EUSIPCO). 2011
  53. Cognitive Load Evaluation of Handwriting Using Stroke-level Features. K Yu, J Epps, F Chen. International Conference on Intelligent User Interfaces (IUI). 2011
  54. Eye activity as a measure of human mental effort in HCI. S Chen, J Epps, N Ruiz, F Chen. International Conference on Intelligent User Interfaces (IUI). 2011
  55. Evaluation of Working Memory Load using EEG Signals. P Zarjam, J Epps, F Chen. Asia Pacific Signal Processing Association Conference. 2010
  56. Geometric Features of Pen Input as a Proxy for Cognitive Load. N Ruiz, R Taib, F Chen. Cognitive Load Conference (CLT). 2010
  57. Cognitive Load Measurement through Multimodal Behaviour Patterns. N Ruiz, R Taib, F Chen. 32nd Annual Conference of the Cognitive Science Society. 2010
  58. Using Language Complexity to Measure Cognitive Load for Adaptive Interaction Design. MA Khawaja, F Chen, M Nadine. International Conference on Intelligent User Interfaces (IUI). 2010
  59. Linking losses for density ratio and class-probability estimation. A Menon, CS Ong. International Conference on Machine Learning. 2016
  60. On the Effectiveness of Linear Models for One-Class Collaborative Filtering. S Sedhain, A Menon, S Sanner, D Braziunas. AAAI. 2016
  61. Learning with Symmetric Label Noise: The Importance of Being Unhinged. B Van Rooyen, A Menon, R Williamson. Advances in Neural Information Processing Systems. 2015
  62. Learning from Corrupted Binary Labels via Class-Probability Estimation. A Menon, CS Ong, B Van Rooyen, R Williamson. International Conference on Machine Learning. 2015
  63. AutoRec: Autoencoders Meet Collaborative Filtering. S Sedhain, A Menon, S Sanner, L Xie. WWW. 2015
  64. Cross-Modal Retrieval: A Pairwise Classification Approach. A Menon, Sanjay Chawla, D Surian. SIAM International Conference on Data Mining. 2015
  65. Bayes-Optimal Scorers for Bipartite Ranking. A Menon, R Williamson. Annual Conference on Computational Learning Theory (COLT). 2014
  66. Practical Linear Models for Large-Scale One-Class Collaborative Filtering. S Sedhain, H Bui, J Kawale, N Valssis, B Kveton, A Menon, T Bui, S Sanner. International Joint Conference on Artificial Intelligence. 2016
  67. On the Effectiveness of Linear Models for One-Class Collaborative Filtering. S Sedhain, AK Menon, S Sanner, D Braziunas. AAAI. 2016
  68. A colorful approach to text processing by example. K Yessenov, S Tulsiani, A Menon, RC Miller, S Gulwani, B Lampson, et al. Proceedings of the 26th annual ACM symposium on User interface software. 2013
  69. On the statistical consistency of algorithms for binary classification under class imbalance. A Menon, H Narasimhan, S Agarwal, S Chawla. Proceedings of the 30th International Conference on Machine Learning. 2013
  70. A machine learning framework for programming by example. A Menon, O Tamuz, S Gulwani, B Lampson, A Kalai. Proceedings of the 30th International Conference on Machine Learning. 2013
  71. Predicting accurate probabilities with a ranking loss. AK Menon, XJ Jiang, S Vembu, C Elkan, L Ohno-Machado. ICML. 2012
  72. Response prediction using collaborative filtering with hierarchies and side-information. AK Menon, KP Chitrapura, S Garg, D Agarwal, N Kota. Proceedings of the 17th ACM SIGKDD. 2011
  73. A log-linear model with latent features for dyadic prediction. AK Menon, C Elkan. Data Mining (ICDM), IEEE 10th International Conference. 2010
  74. Text Mining in Clinical Domain: Dealing with Noise. H Nguyen, J Patrick. 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2016
  75. Information Extraction from Radiology Reports for a Population Based Cancer Registry. H Nguyen, J Patrick. International Conference on Biomedical Engineering (Biomed). 2013
  76. Reverse active learning for optimising information extraction training production. H Nguyen, J Patrick. AI 2012: Advances in Artificial Intelligence. 2012
  77. Automated Proof Reading of Clinical Notes. J Patrick, H Nguyen. 25th Pacific Asia Conference on Language, Information and Computation. 2011
  78. Cascade method for extracting Problems, Tests and treatments from Clinical Notes. J Patrick, H Nguyen, Y Wang, L Min. I2b2 Challenges in Clinical Natural Language Processing. 2010
  79. Optimization of a complex urban intersection using discrete event simulation and evolutionary algorithms. AS Mihaita, M Camargo, P Lhoste. International federation of automatic control, IFAC. 2014
  80. Un nouveau modèle de l'énergie de commande des systèmes stochastiques à commutation. AS Mihaita, S Mocanu. Septième Conférence Internationale Francophone d'Automatique (CIFA). 2012
  81. An energy model for event-based control of a switched integrator. AS Mihaita, S Mocanu. 18th IFAC World Congress (IFAC WC). 2011
  82. A strategic user equilibrium model incorporating both demand and capacity uncertainty. T Wen, L Gardner, V Dixit, M Duell, ST Waller. 93rd Annual Meeting of the Transportation Research Board. 2014
  83. A linear program network design model incorporating system optimal strategic dynamic traffic assignment behaviour. M Duell, T Wen, ST Waller. The 18th Hong Kong Society for Transportation Studies International Conference. 2013
  84. A Maximum Likelihood Estimation of Trip Tables for the Strategic User Equilibrium Model. T Wen. The 94th Annual Meeting of the Transportation Research Board. 2015
  85. A Least Squares Method for Origin-Destination Estimation Incorporating Variability of Day-To-Day Travel Demand. T Wen. 19th Hong Kong Society for Transportation Studies. 2014
  86. Improved Human Detection and Classification in Thermal Surveillance Systems. J Zhang, W Wang, C Shen. IEEE International Conference on Image Processing. 2010
  87. Hawkes Processes with Stochastic Excitations. Y Lee, CS Ong, KW Lim. International Conference on Machine Learning. 2016
  88. Traffic Flow Modelling with Point Processes. C Cai, F Chen, KW Lim, W Wang, Y Lee. 23rd ITS World Congress. 2016
  89. Coupled Nominal Similarity in Unsupervised Learning. C Wang, L Cao, J Li, W Wei, Y Ou, M Wang. Proceedings of the 20th ACM international conference on Information and knowledge management. 2011
  90. e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. X Dong, Z Zheng, L Cao, Y Zhao, C Zhang, J Li, W Wei, Y Ou. Proceedings of the 20th ACM International Conference on Information and Knowledge Management. 2011
  91. Detecting Abnormal Coupled Sequences and Sequence Changes in Group-based Manipulative Trading Behaviors. L Cao, Y Ou, P Yu, G Wei. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data. 2010
  92. Effective Detection of Sophisticated Online Banking Fraud in Extremely Imbalanced Data. W Wei, J Li, L Cao, Y Ou, J Chen. World Wide Web. 2013
  93. SKRMW Based Descriptor for Pedestrian Detection on Thermal Images. Z Li, W Qiang, J Zhang, G Geers. MMSP, International Workshop on Multimedia Signal Processing. 2011
  94. Feature Enhancement Using Gradient Salience on Thermal Image. Z Li, J Zhang, Q Wu, G Geers. Digital Image Computing Techniques and Applications (DICTA). 2010
Reports/Lecture Notes
  1. An Average Classification Algorithm. B van Rooyen, AK Menon, RC Williamson. arXiv preprint arXiv:1506.01520. 2015.
  2. Latent feature models for dyadic prediction. AK Menon. 2013..
  3. Textual Features for Programming by Example. AK Menon, O Tamuz, S Gulwani, B Lampson, AT Kalai. arXiv preprint arXiv:1209.3811. 2012..
  4. Dyadic Prediction Using a Latent Feature Log-Linear Model. AK Menon, C Elkan. arXiv preprint arXiv:1006.2156. 2010..
  5. Approche probabiliste pour la commande orientée évènement des systèmes stochastiques à commutation. AS Mihaita. Université de Grenoble. 2012..
  6. Learning heterogeneous coupling relationships between non-IID terms. M Li, J Li, Y Ou, Y Zhang, D Luo, M Bahtia, L Cao. Lecture Notes in Computer Science. 2014..
  7. Coupled K-nearest centroid classification for non-iid data. M Li, J Li, Y Ou, Y Zhang, D Luo, M Bahtia, L Cao. Lecture Notes in Computer Science, Transactions on Computational Collective Intelligence XV: International Conference on Practical Applications on Agents and Multi-Agent Systems. 2012..
  8. System modeling of a smart-home healthy lifestyle assistant. X Zhu, Y Yu, Y Ou, D Luo, C Zhang, J Chen. Lecture Notes in Computer Science. 2013..