DOC - Cornell University

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LIAORUO(LAURA) WANG
School of Electrical and Computer Engineering
Email: lwang@cs.cornell.edu
Cornell University
Phone: (413) 695-8692
Ithaca, NY 14850
http://www.cs.cornell.edu/~lwang
EDUCATION
Cornell University, Ithaca, NY
Current GPA: 4.0/4.0
Ph.D., May 2012 (expected)
Major: Electrical and Computer Engineering ∙ Minor: Operations Research and Information Engineering
University of Massachusetts, Amherst, MA
Master of Science in Electrical and Computer Engineering, September 2007
Tsinghua University, Beijing, China
Bachelor of Science in Electronic Engineering, July 2005
Motorola Scholarship
SKILLS
RESEARCH
EXPERIENCE
GPA: 3.88/4.0
GPA: 3.75/4.0
Major GPA: 3.85/4.0
Programming: C/C++, Matlab, Python, Java
Operating System: Windows, Linux, Mac OSX
Language: English, Chinese, Italian
Graduate Research Assistant, Cornell University
2008–Present
Committee: Prof. John Hopcroft (Chair), Prof. Sidney Resnick, Prof. Tsuhan Chen
 Social Network Analysis, Data Mining, Recommender Systems, Information Retrieval, Network Inference
 Mathematical Formulation, Algorithm Design, Implementation, and Performance Evaluation
 Analyze large real-world datasets. Track and Predict how communities evolve over time.
 Model information diffusion processes. Infer and Reconstruct the structure of unknown networks.
 Categorize social networks. Design stochastic growth models to simulate different types of social networks.
Research Assistant, University of Massachusetts, Amherst
2006–2007
Committee: Prof. Dennis Goeckel (Chair), Prof. Don Towsley, Prof. Patrick Kelly
 Studied non-coherent physical layer cooperation in extended and dense wireless ad hoc networks.
 Explored the structural properties (e.g., clustering, percolation) and evaluated the performance (e.g., capacity,
connectivity, throughput) of wireless ad hoc networks.
 Designed novel cooperation systems based on advanced techniques (e.g., distributed beamforming, distributed
FSK, cooperative diversity, MIMO) to improve the performance of large-scale wireless ad hoc networks.
PROFESSIONAL
EXPERIENCE
Visiting Student, Microsoft Research Asia, Beijing, China
Invited talk: “Community Identification in Social Networks”
Summer 2009
Project Manager, Traditional Chinese Medicine Bureau, Beijing, China
Fall 2004
Designed and implemented an online museum for Traditional Chinese Medicine. Developed several online
medical training tools to provide information and resources for self-learning and self-diagnosis. Built a semantic
database with interactive sub-systems to support a virtual medical community.
Pre-Sales Support Intern, Cisco Systems Inc., Beijing, China
Summer 2002
Worked in New Service Provider Operations to assist in pre-sales consulting and preparation of sales proposals.
Communicated with clients. Collected and analyzed customer feedback. Participated in APAC Metro Ethernet
Solutions “Business & Technical” Summit.
SELECTED
PUBLICATIONS
Liaoruo Wang, Tiancheng Lou, Jie Tang, and John E. Hopcroft. Detecting Community Kernels in Large Social
Networks. To appear in Proc. 11th IEEE International Conference on Data Mining (ICDM), December 2011.
[full paper, acceptance rate: 101/822 (12.3%)]
Liaoruo Wang, John E. Hopcroft, Jing He, Hongyu Liang, and Supasorn Suwajanakorn. Extracting the Core
Structure of Social Networks using (α,β)-Community. Invited to Internet Mathematics, 2012.
Dennis Goeckel, Benyuan Liu, Don Towsley, LiaoruoWang, and Cedric Westphal (authors listed in alphabetical
order). Asymptotic Connectivity Properties of Cooperative Wireless Ad Hoc Networks. In IEEE Journal on Selected
Areas in Communications (JSAC), 27(7):1226-1237, 2009.
Liaoruo Wang, Benyuan Liu, Dennis Goeckel, Don Towsley, and Cedric Westphal. Connectivity in Cooperative
Wireless Ad Hoc Networks. In Proc. 9th ACM International Symposium on Mobile Ad Hoc Networking and
Computing (MobiHoc), May 2008. [full paper, acceptance rate: 44/300 (14.6%)]
TEACHING
EXPERIENCE
Teaching Assistant, Cornell University
Spring 2008–Spring 2009
ECE5680 Mobile Communication Systems ∙ ECE3100 Introduction to Probability and Random Signals ∙
ECE2100 Introduction to Circuits for Electrical and Computer Engineers
Teaching Assistant, University of Massachusetts, Amherst
Fall 2005–Fall 2006
ECE122 Introduction to Computer Programming ∙ ECE212 Circuit Analysis II ∙ ECE242 Data Structure and
Algorithms in Java ∙ ECE211 Circuit Analysis I
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