Download Chun-Ta Lu - UIC Computer Science - University of Illinois at Chicago

Chun-Ta Lu
851 S. Morgan St., Rm 1336, SEO
University of Illinois at Chicago, Chicago, IL 60607
http://www2.cs.uic.edu/~clu
e-mail: [email protected]
EDUCATION
Ph.D student, Computer Science
University of Illinois at Chicago (UIC)
Cumulative GPA: 3.75/4.00
Aug. 2012 – Present
M.S, Computer Science and Engineering
National Chiao Tung University (NCTU)
Cumulative GPA: 4.00/4.00
Sep. 2009 – Sep. 2011
B.S, Computer Science and Information Engineering
National Taiwan University (NTU)
Cumulative GPA: 3.5/4.00; Major GPA: 3.58/4.00; Final 2 Years GPA: 3.75/4.00
Sep. 2004 – Jun. 2008
PROFESSIONAL EXPERIENCE
Research Assistant, UIC
May. 2013 – Present
• Analyzed the effects of social media on crowdfunding.
• Developed novel methods for identifying e-commerce customers in social networks.
• Connected online stores with social networks for personalized product recommendation.
• Proposed tensor-based factorization machines for multi-task multi-view learning.
• Proposed deep multi-view factorization machines for simultaneously learning deep feature representations and relational structures from multi-view data.
• Advisor: Prof. Philip S. Yu
Quantitative Analyst Summer Intern, Google
Jun. 2014 – Aug. 2014
• Analyzed the correlations between the signals and the changes of signals of AdWords
(e.g., CTR, CPC, RPM and quality scores).
• Analyzed the effectiveness of AdWords campaign treatments.
Web Developer, BIKE ID Co., Ltd
Jan. 2012 – Aug. 2012
• Developed a Taipei City Government website for public bicycle services
which can generate customized bicycle tour brochures (bike2city.nat.gov.tw).
• Developed a website and a Facebook App for Taiwan running community.
Research Assistant, NCTU
Sep. 2010 – Jan. 2012
• Proposed a framework for extracting semantic regions from user behavior.
• Explored Android App usage patterns relative to location dependency.
• Analyzed semantics of region from geographic information and App usage patterns.
• Advisor: Prof. Wen-Chih Peng
Research Assistant, Academia Sinica,
Jul. 2008 – Aug. 2009
• Developed mobile medication administration tool for hospital service.
• Designed report generator for patient records and medical supply inventory records.
• Developed user interface for an intelligent mobile nursing cart (iNuC).
• Advisor: Profs. Jane W. S. Liu and Chi-Sheng Shih
RESEARCH INTERESTS
Data Mining, Machine Learning, Social Network Analysis
PUBLICATIONS
• Lifang He, Chun-Ta Lu, Hao Ding, Linlin Shen, Philip S. Yu, and Ann B. Ragin. Multi-way Multi-level
Kerenl Modeling for Neuroimaging Classification, IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), 2017.
• Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, and Philip S. Yu. Multilinear Factorization
Machines for Multi-Task Multi-View Learning, ACM International Conference on Web Search and
Data Mining (WSDM), 2017.
• Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, and Philip S. Yu. Collective Geographical Embedding for
Geolocating Social Network Users, Pacific Asia Conference on Knowledge Discovery and Data Mining
(PAKDD), 2017.
• Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, and Philip S. Yu. Item Recommendation for
Emerging Online Businesses, International Joint Conference on Artificial Intelligence (IJCAI), 2016.
• Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, and Philip S. Yu. Joint Community and
Structural Hole Spanner Detection via Harmonic Modularity, ACM SIGKDD Conference on Knowledge
Discovery and Data Mining (KDD), 2016.(Oral presentation)
• Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, and Alex D. Leow. Semi-supervised Tensor Factorization for Brain Network Analysis, Joint European Conference on Machine Learning and Knowledge
Discovery in Databases (ECML/PKDD), 2016.
• Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei and Philip S. Yu. Online Unsupervised Multi-view
Feature Selection, IEEE International Conference on Data Mining (ICDM), 2016.
• Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, and Ann B. Ragin. Spatio-Temporal
Tensor Analysis for Whole-Brain fMRI Classification, SIAM International Conference on Data Mining
(SDM), 2016.
• Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, and Ann B. Ragin. Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures, SIAM
International Conference on Data Mining (SDM), 2016.
• Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, and Philip S. Yu. HEER: Heterogeneous Graph Embedding for Emerging Relation Detection from News, IEEE International Conference
on Big Data (IEEE BigData), 2016.
• Weixiang Shao, Lifang He, Chun-Ta Lu and Philip S. Yu. Online Multi-view Clustering with Incomplete
Views, IEEE International Conference on Big Data (IEEE BigData), 2016.
• Yuan Yuan, Sihong Xie, Chun-Ta Lu, Philip S. Yu, and Jie Tang. Interpretable and Effective Opinion
Spam Detection via Temporal Patterns Mining across Websites, IEEE International Conference on Big
Data (IEEE BigData), 2016.
• Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu and Philip S. Yu. Community Detection with
Partially Observable Links and Node Attributes, IEEE International Conference on Big Data (IEEE
BigData), 2016.
• Chun-Ta Lu, Hong-Han Shuai, and Philip S. Yu. Identifying your Customers in Social Networks, ACM
International Conference on Information and Knowledge Management (CIKM), 2014.
• Chun-Ta Lu, Sihong Xie, Xiangnan Kong, and Philip S. Yu. Inferring the Impacts of Social Media on
Crowdfunding, ACM International Conference on Web Search and Data Mining (WSDM), 2014.
• Chun-Ta Lu and Wen-Chih Peng. Exploring Application Usage Patterns of Smart Phones for Discovering Personal Semantic Regions, Master’s Thesis, 2012
• Chun-Ta Lu, Po-Ruey Lei, Wen-Chih Peng, and Ing-Jiunn Su. A Framework for Mining Semantic
Regions from Trajectories, International Conference on Database Systems for Advanced Application
(DASFAA), 2011.
MANUSCRIPTS
• Lifang He, Chun-Ta Lu, Guixiang Ma, Linlin Shen and Philip S. Yu. Kernelized Tensor Factorization
Machines with Applications to Neuromimaging. Submitted to International Conference on Machine
Learning (ICML), 2017.
• Lifang He, Chun-Ta Lu, Weixiang Shao, Linlin Shen and Philip S. Yu. Multilinear Multi-View Clustering. Submitted to International Joint Conference on Artificial Intelligence (IJCAI), 2017.
• Chun-Ta Lu, Lifang He, Hao Ding and Philip S. Yu. Learning from Multi-View Structural Data via
Structural Factorization Machines. Submitted to ACM SIGKDD Conference on Knowledge Discovery
and Data Mining (KDD), 2017.
• Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Mianwei Zhou, Yi Chang and Philip S. Yu. Connecting
Emerging Relationships from News via Tensor Factorization. Submitted to ACM SIGKDD Conference
on Knowledge Discovery and Data Mining (KDD), 2017.
• Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S Yu and Ann B. Ragin. Structural Deep Brain
Network Mining. Submitted to ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD), 2017.
• Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu and Philip S. Yu. Modeling and Inference
User Concept Transitions for Medical Text Queries. Submitted to ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD), 2017.
• Cheng-Ying Liu, Chih-Ya Shen, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu, and Ming-Syan Chen. Detecting Trends in Social Media via Heterogeneous Social Network. Submitted to ACM SIGKDD Conference
on Knowledge Discovery and Data Mining (KDD), 2017.
• Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, and Ann B. Ragin. Multiview Clustering via Graph Embedding for Connectome Analysis on HIV disease. Submitted to ACM
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017.
PROFESSIONAL SERVICES
• Reviewer of ACM Transactions on Knowledge Discovery from Data (TKDD), 2015-Present
• Reviewer of ACM Transactions on Intelligent Systems and Technology (TIST), 2016-Present
• External Reviewer of WSDM (2017), KDD (2016), CIKM (2016), AAAI (2016), IJCAI (2016)
AWARDS AND HONORS
• Student Travel Award (WSDM 2014, KDD 2016, WSDM 2017)
• UIC Graduate Student Council Travel Award (2014, 2016)
• UIC Student Presenter Award (2014, 2016)
SKILLS
Python, TensorFlow, Theano, MATLAB, C/C++, Java, PHP