We use cookies on this site to enhance your experience.
By selecting “Accept” and continuing to use this website, you consent to the use of cookies.
I completed my Ph.D. at York University in 2008. Following that, I was at Shandong University, holding positions as an Associate Professor and Full Professor from 2009 to 2017, prior to my role at Laurier.
My research interests generally include machine learning, data analysis, deep learning, and recommender system, with an emphasis on designing new algorithms and models for managing and mining social and urban spatio-temporal data.
Recently, I am focusing on the following research directions:
- Data analytics and machine learning (e.g., deep learning and AI, recommender and filtering systems, interpretability of deep models, Web personalization)
- Understanding multi-modal content (e.g., natural language processing, text mining, image processing)
- Efficient data processing (e.g., database systems, indexing and query optimization)
- Applications (e.g., urban computing systems, social media)
- NSERC Individual Discovery Grant, 2023-2028
- NSERC USRA, 2020, 2021, 2022, 2023
- WULFA Merit Award in Research, 2023
- MITACS Accelerate Grant, 2022
- Laurier Category A Internal Grants, 2022
- WULFA Merit Award in Teaching and Research, 2018
- NSERC Individual Discovery Grant, 2018-2023
- NSFC Research Grant, General Program, 2016-2019
- NSFC Research Grant, Youth Program, 2009-2012
I am looking for highly-motivated undergraduate and graduate students to work with me on the exciting area of machine learning and recommender systems. I also have open Postdoctoral Positions to investigate underlying theory and algorithms in deep learning, big data analytics, social networks, and recommender systems.
Journal Papers
-
Xu, R., Chen, M., Gong, Y., Liu, Y., Yu, X., Nie, L. "TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation", ACM Trans. Inf. Syst., 41(4): 1-24, 2023.
-
Xu, H., Xu, R., Liu, Y., Yu, X., Chen, M. "CAVE-SC: Inferring Categories for Venues Using Check-ins", Information Sciences, 611: 159-172, 2022.
-
Chen, M., Zhao, Y., Liu, Y., Yu, X., Zheng, K. "Modeling Spatial Trajectories with Attribute Representation Learning", in IEEE Transactions on Knowledge and Data Engineering, 34(4):1902-1914, 2022.
-
Chen, M., Zhu, L., Xu, R., Liu, Y., Yu, X., Yin, Y. "Embedding Hierarchical Structures for Venue Category Representation", ACM Transactions on Information Systems, 40(3): 57:1-57:29, 2022.
-
Chen, M., Zuo, Y., Jia, X, Liu, Y., Yu, X., Zheng, K. "CEM: A Convolutional Embedding Model for Predicting Next Locations", in IEEE Transactions on Intelligent Transportation Systems, 22(6): 3349-3358, 2021.
-
Tal, O., Liu, Y., Huang, J., Yu, X., Aljbawi, B. "Neural Attention Frameworks for Explainable Recommendation", in IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(5): 2137-2150, 2021.
-
Chen, M., Jia, X., Gorbonos, E., Hoang, C., Yu, X., Liu, Y. "Eating healthier: Exploring nutrition information for healthier recipe recommendation", in Information Processing & Management, 57(6): 102051, 2020.
-
Chen, M., Yu, X., Liu, Y. "TraLFM: Latent Factor Modeling of Traffic Trajectory Data", in IEEE Transactions on Intelligent Transportation Systems 20 (12), 4624-4634, 2019.
-
Yu, Z., Abraham, A., Yu, X., Liu, Y., Zhou, Z., Ma, K. "Improving the effectiveness of keyword search in databases using query logs", in Eng. Appl. Artif. Intell., 81: 169-179, May 2019.
-
Tal, O., Liu, Y. "A Joint Deep Recommendation Framework for Location-Based Social Networks", in Complexity, 2926749:1-2926749:11, 2019.
-
Chen, M., Yu, X., Liu, Y. "MPE: a mobility pattern embedding model for predicting next locations", in World Wide Web, 22(6): 2901-2920, 2019.
-
Chen, M., Yu, X., Liu, Y. "PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction", in IEEE Trans. Intelligent Transportation Systems 19(11): 3550-3559, 2018.
Peer-reviewed Conference Papers
-
Chen, M., Zhao, Y., Liu, Y., Yu, X., Zheng, K. "Modeling Spatial Trajectories with Attribute Representation Learning", in IEEE Transactions on Knowledge and Data Engineering (TKDE) Poster Track - ICDE, April, 2023.
-
Chen, Y., Liu, Y. "NLI-based Filtering for Data Augmentation in Topic Classification", in the 21st IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, 2022 (Best Paper Award).
-
Chen, Y., Liu, Y. "Rethinking Data Augmentation in Text-to-text Paradigm", in COLING 2022.
-
Chen, Y., Liu, Y. "NLI-based Filtering for Data Augmentation in Topic Classification", in IEEE/WIC/ACM International Conference on Web Intelligence, 2022.
-
Chen, Y., Liu, Y. "A Novel Hybrid Framework to Enhance Zero-shot Classification", in the 25th International Conference on Text, Speech and Dialogue, 2022.
-
Yu, Z., Yu, X., Koudas, N., Liu, Y., Li, Y., Chen, Y., Yang, D. "Distributed Processing of k Shortest Path Queries over Dynamic Road Networks", in SIGMOD Conference, 2020.
-
Gorbonos, E., Liu, Y., Hoang, C. "NutRec: Nutrition Oriented Online Recipe Recommender", in IEEE/WIC/ACM International Conference on Web Intelligence, 2018.
-
Tal, O., Liu, Y. "TCENR: A hybrid neural recommender for location based social networks", in The 2nd International Workshop on Social Computing (IWSC’18): Spatial Social Behavior Analytics in Urban Society, 2018.
-
Wei, W., Jia, X., Liu, Y., Yu, X. "Travel Time Forecasting with Combination of Spatial-Temporal and Time Shifting Correlation in CNN-LSTM Neural Network", in APWeb/WAIM (1) 2018.
-
Guo, D., Chen, M., Yu, X., Liu, Y. "Short-term Traffic Flow Forecasting Using Transfer Ratio and Road Similarity", in IJCNN 2018.
- CP640 Machine Learning
- CP610 Data Analysis
- CP421 Data Mining
- CP423 Text Retrieval and Search Engines
- CP322 Machine Learning
- CP213 Object-oriented Programming