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Wang-Chien Lee (李旺謙), Associate Professor

W332 Westgate Building
Department of Computer Science and Engineering
The Pennsylvania State University
University Park, PA 16802, USA
E-mail: wlee@cse.psu.edu  Web: https://sites.psu.edu/wlee
Tel: (814) 865-1053     Fax: (814) 865-3176

Education

  • Ph.D., 1996, Dept. of Computer & Information Science, Ohio State University, Columbus, Ohio, USA.
  • M.S., 1989, Department of Computer Science, Indiana University, Bloomington, Indiana, USA.
  • B.S., 1985, Department of Information Science, National Chiao-Tung University, Hsinchu, Taiwan.

Research

Dr. Lee leads the Intelligent Pervasive Data Access (iPDA) Research Group at Penn State to pursue cross-area research in big data management, pervasive/mobile computing, and networking. His primary research include:

  • Network Representation Learning  https://sites.psu.edu/ipda/projects/nrl/
  • Intelligent Transportation Systems and Trajectory Mining
  • Social Network Data Analytics
  • Patent Mining
  • Mobile and Pervasive Data Access
  • Location-Based Services
  • Peer-to-Peer (P2P) Computing
  • Wireless Sensor Networks
  • Time-Critical and Secure Wireless Data Broadcast
  • Information Retrieval Visualization and Analysis

More details about his recent research activities can be found in the iPDA research group web site. https://sites.psu.edu/ipda

Funding

  • Principal Investigator, Learning Latent Representations of Heterogeneous Information Networks, (Co-PI: Zhen Lei), NSF, IIS-1717084, 8/2017 – 7/2020, $499,635. Project Website: https://sites.psu.edu/ipda/projects/nrl/
  • Co-PI, Impacts of the NIH Public Access Policy on Knowledge Flow and Diffusion in Academic and Industrial Research, (PI: Zhen Lei), NSF, SMA-1360205, 5/2014 – 4/2017, $619,767.
  • Principal Investigator, Link Quality Estimation for Wireless Sensor Networks, NSF, CNS-0626709, 9/2006-8/2009, $250,000.
  • Principal Investigator, Indexing Multi-Dimensional Data in Peer-to-Peer Systems, (Co-PI: Anand Sivasubramaniam), NSF, IIS-0534343, 1/2006-12/2008, $330,000.
  • Principal Investigator, Location-based Information Access in Pervasive Computing Environments, NSF, IIS-0328881, 9/2004- 8/2007, $265,000.
  • Co-Investigator, ECOQUAD: Energy-Conserving Quality-Aware Data Collection in Wireless Sensor Networks, (PI: Jianliang Xu), Research Grants Council (Hong Kong), 9/2005-8/2007, HK$ 391,000.
  • Senior Personnel, STNexus: An Integrated Database and Visualization Environment for Space-Time Information Exploitation, (PIs: Donna J. Peuquet and Alan M. MacEachren), Advanced Research and Development Activity, NSA/NGA/CIA, 6/2005-5/2007, $806,000.
  • Co-Investigator, Wireless Information Publication and Access, (PI: Dik Lee), Research Grants Council (Hong Kong), 9/2003-8/2005, HK$ 414,000.
  • Co-Principal Investigator, Bioinformatics Consortium to Enhance Translational and Clinical Research (PI: Raj Archaya), Public Health Service, 7/2002-6/2005, $358,000.
  • Co-Investigator, Modeling and Service Discovery in Pervasive Computing, (PI: Dik Lee), Research Grants Council (Hong Kong), 9/2001-8/2003, HK$390,000.
  • Principal Investigator, Web Content Transformation Technology Evaluation Services, Genuity Inc., 7/2000-6/2001, $180,000.

Patents

  • W.-C. Lee, G. Mitchell, X. Zhang, System and Method for Automatic Loading of an XML Document Defined by a Document-Type Definition into a Relational Database Including the Generation of a Relational Schema Therefor, United State Patent: 7072896B2.
  • W.-C. Lee, G. Mitchell, E. Rundersteiner, X. Zhang, System and Method for Automatic Synchronizing and/or updating an Existing Relational Database with Supplemental XML Data, United State Patent: 7031956B1.

Selected Publication

  • Chiang, M., Lim, E., Lee, W., Ashok, X., Prasetyo, P. (2019). One-Class Order Embedding Learning for Dependency Relation Prediction, Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, July 21-25, 2019, Paris, France. Association for Computing Machinery. 
  • Ma, Q., Gu, Y., Lee, W., & Ge, Y. (2019). Order-Sensitive Imputation for Clustered Missing Values. IEEE Transaction on Knowledge and Data Engineering (TKDE). 31(1), pp.166-180.
  • Kao, J., Ooi, B.C., Shen, Y., & Lee, W. (2018). Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden. The AAAI Press. Acceptance rate: 20.5%
  • Luo, Z., Cai, S., Gao, J., Zhang, M., Ngiam, K.Y., Chen, G., & Lee, W. (2018). Adaptive Lightweight Regularization Tool for Complex Analytics. International Conference on Data Engineering, ICDE 2018, Paris, France. IEEE Computer Society. The Best Paper Award – Runner Up
  • Lin, Y.-S., Yin, P., & Lee, W. (2018). Modeling Dynamic Competition on Crowdfunding Markets. Proceedings of the International Conference on World Wide Web, WWW 2018, Leon, France. ACM.
  • Shuai, H.-H., Shen, C.-Y., Yang, D.-N., Lan, Y.-F., Lee, W., Yu, P. S., & Chen, M.-S. (2018). A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining. IEEE Transaction on Knowledge and Data Engineering (TKDE), 30(7).
  • Zhu, H., Yang, X., Wang, B., & Lee, W. (2018). Range-based Nearest Neighbor Queries with Complex-shaped Obstacles. IEEE Transaction on Knowledge and Data Engineering (TKDE), 30(5).
  • Zhu, Q., Hu, H., Xu, J., & Lee, W. (2017). Geo-Social Group Queries with Minimum Acquaintance Constraint. The VLDB Journal, 26(5).
  • Chiang, M.-F., Lim, E.-P., Lee, W., Kwee, A.T. (2017). BTCI: a New Framework for Identifying Congestion Cascades Using Bus Trajectory Data. Proceedings of IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA. IEEE Computer Society. (Acceptance rate: 18%)
  • Rengasamy, V., Fu, T.-Y., Lee, W., Madduri, K. (2017). Optimizing Word2Vec Performance on Multicore Systems. Proceedings of the Seventh Workshop on Irregular Applications: Architectures and Algorithms. Association for Computing Machinery. The Best Artifact Award.
  • Fu, T.-Y., Lee, W., & Lei, Z. (2017). HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning. Proceedings of the ACM 2017 International Conference on Information and Knowledge Management, CIKM 2017. Association for Computing Machinery. Acceptance rate: 171/820=21%
  • Shen, C.-Y., Huang, L.-H., Yang, D.-N., Shuai, H.-H., Lee, W., & Chen, M.-S. (2017). On Finding Socially Tenuous Groups for Online Social Networks. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017. (pp. 415-424). Association for Computing Machinery. Acceptance rate: 64/748 = 8.6%