Zhe Zhang Room 2261, Engineering Building II 890 Oval Drive, Raleigh, NC 27606 Education NORTH CAROLINA STATE UNIVERSITY Ph.D. in Computer Science Advisor: Dr. Munindar P. Singh 2009–2014 (expected) NORTH CAROLINA STATE UNIVERSITY Master of Science 2009–2012 RENMIN UNIVERSITY OF CHINA Bachelor of Engineering in Computer and Information Science Research Interests Email: [email protected] Tel: +1 (919) 809-2143 2003–2007 • Sentiment analysis, text mining, machine learning • Natural language processing, probabilistic models • Social network analysis and computing Skills Languages and tools: Java, JavaScript, C/C++, R, Python, Matlab, Vowpal Wabbit Databases: MySQL, SQLite, Access Graphic and Web design: Photoshop, Dreamwaver, Flash Honors 2014-2015 IBM Ph.D. Fellowship 2013-2014 IBM Ph.D. Fellowship 2012-2013 IBM Ph.D. Watson Solutions Fellowship Intel International Science and Engineering Fair (China) Silver Research Experience Graduate Research Assistant NORTH CAROLINA STATE UNIVERSITY Raleigh, NC Aug. 2009–Present (Supported by the U.S. Army Research Laboratory in its Network Sciences Collaborative Technology Alliance and IBM Ph.D. Fellowship) • Develop an unsupervised topic model for discovering author-based sentiments and aspects from opinionated text. The model can automatically generate interpretable author profiles that describe their preferences in term of sentiments and aspects. • Develop a probabilistic model and a semi-supervised system that can accurately infer the authors sentiment from text. The system consists of two novel components: a semisupervised approach for constructing the sentiment lexicons; A CRF-based sentiment analysis model. • Extract information from unstructured data. Analyze the correlation between trader behavior and their interpersonal communications. Build prediction model of trading behavior. Create a natural language processing module for extracting features from informal short texts. • Build an agent-based model in stock trading context; study how credibility of information (e.g., instant messages) can affect agents’ decision making (i.e., stock trading); Evaluate information credibility based on latent topics, causality analysis, sentiment analysis, etc. • Develop approaches for agents to infer trustworthiness of others based on direct interaction and referrals from third parties. Industry Experience Watson Solutions Core Technology Development Team Intern IBM May 2013–August 2013 Build a Java-based large scale machine learning algorithm which supports active learning and incremental learning. Develop a web-based GUI using Jquery and Apache tomcat server. Watson Solutions Core Technology Development Team IBM May 2012–August 2012 Intern Build a Java-based dialogue framework that provides Watson the capability to interact with users. Design a Machine learning algorithm to help Watson to better assess the quality of a question. National Laboratory of Pattern Recognition Software Engineer Chinese Academy of Sciences July 2007–July 2009 Develop a text-to-speech system on Windows, transplant the system from PC to PDA (Windows Mobile Platform), and develop online TTS system (AJAX). Selected Projects Sentiment Analysis and Opinion Mining August 2012–Now Supported by IBM Ph.D. fellowship and the U.S. Army Research Laboratory (Natural language processing, Stanford Parser, Sentiment Analysis, Machine Learning, Probabilistic graphical models, Web Crawler, Java) Human Behaviors Prediction using Text Mining Approaches May 2011–Now Supported by the U.S. Army Research Laboratory (Java, Data Mining, Weka, Sentiment Analysis, Natural language processing, MySQL, SQLite) Publications Embed Text-To-Speech System on Windows Mobile 6.0 (C#, Windows Mobile programming, C++) Sep. 2008 Expressive Visual Speech Synthesis Supported by Natural Science Foundation of China (NSFC) (Signal Processing, Machine Learning, C++) July 2007 JOURNAL PAPERS [J1] Chung-Wei Hang, Zhe Zhang, and Munindar P. Singh. “Generalized Trust Propagation with Limited Evidence.” IEEE Computer, volume 46, number 3, March 2013, pages 78-85. [J2] Zhe Zhang and Jianhua Tao. “Intelligent Internet Information Retrieval System in the realm of transportation and meteorology.” Journal of Transportation Systems Engineering and Information Technology, 2006 6(6): 163–168. CONFERENCE PAPERS [C3] Guangchao Yuan, Pradeep K. Murukannaiah, Zhe Zhang, and Munindar P. Singh. “Exploiting Sentiment Homophily for Link Prediction.” Proceedings of the 7th ACM Conference on Recommender Systems (RecSys). Oct 2014. [C4] Zhe Zhang, and Munindar P. Singh. “ReNew: A Semi-Supervised Framework for Generating Domain-Specific Lexicons and Sentiment Analysis.” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL). June 2014. [C5] Anup K. Kalia, Zhe Zhang, and Munindar P. Singh. “Estimating Trust from Agents’ Interactions via Commitments.” Proceedings of the 21st European Conference on Artificial Intelligence (ECAI). Aug 2014. [C6] Anup K. Kalia, Zhe Zhang, and Munindar P. Singh. “Trustworthy Decision Making via Commitments.” Proceedings of the 16th AAMAS Workshop on Trust in Agent Societies (Trust). May 2013. [C7] Zhe Zhang, Lixing Huang and Jianhua Tao. “Unit Feature Based Pruning of Large-Scale Speech Corpus.” Proceedings of the 9th International conference on Signal Processing. Oct 2008. Teaching Experience NORTH CAROLINA STATE UNIVERSITY Raleigh, NC Teaching Assistant Fall 2009 Course: CSC246 Operating Systems Design and grade programming assignments (C and Java), lead discussion, hold office hours.