Chimps brand
Xiang guang 1

Guang Xiang

Alumni, guangx [at] cs [dot] cmu [dot] edu, http://www.cs.cmu.edu/~guangx/

Guang is a fifth year Ph.D. student at the Language Technologies Institute in the School of Computer Science at Carnegie Mellon.

His research interests include anti-phishing and mining interesting patterns from big data via machine learning, data mining, computer vision and other techniques.

Toward a Phish Free World: A Feature-type-aware Cascaded Learning Framework for Phish Detection

Guang Xiang

PhD Thesis, 2013

A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch

Guang Xiang, Zeyu Zheng, Miaomiao Wen, Jason Hong, Carolyn Rose, and Chao Liu

International AAAI Conference on Weblogs and Social Media (ICWSM), 2012

Detecting Offensive Tweets via Topical Feature Discovery over a Large Scale Twitter Corpus

Guang Xiang, Bin Fan, Ling Wang, Jason Hong, and Carolyn P. Rose

Conference on Information and Knowledge Management (CIKM), 2012

CANTINA+: A Feature-rich Machine Learning Framework for Detecting Phishing Web Sites

Guang Xiang, Jason Hong, Carolyn Rose, and Lorrie Cranor

ACM Transactions on Information Systems and Security (ACM TISSEC), 2011

Smartening the Crowds: Computational Techniques for Improving Human Verification to Fight Phishing Scams

Gang Liu, Guang Xiang, Bryan Pendleton, Jason Hong, and Wenyin Liu

Symposium on Usable Privacy and Security (SOUPS), 2011

A Hierarchical Adaptive Probabilistic Approach for Zero Hour Phish Detection

Guang Xiang, Carolyn Rose, Jason Hong, and Bryan Pendleton

European Symposium on Research in Computer Security (ESORICS), 2010

Modeling People’s Place Naming Preferences in Location Sharing

Jialiu Lin, Guang Xiang, Jason Hong, and Norman Sadeh

International Conference on Ubiquitous Computing (Ubicomp), 2010

A Hybrid Phish Detection Approach by Identity Discovery and Keywords Retrieval

Guang Xiang and Jason Hong

International Conference on World Wide Web (WWW), 2009

Modeling Content from Human-Verified Blacklists for Accurate Zero-Hour Phish Detection

Guang Xiang, Bryan A. Pendleton, and Jason Hong

CMU SCS Technical Report: CMU-LTI-09-005, 2009

Clever Clustering vs. Simple Speed-up for Summarizing Rushes

Alexander G. Hauptmann, Michael G. Christel, Wei-Hao Lin, Bryan Maher, Jun Yang, Robert V. Baron, and Guang Xiang

International workshop on TRECVID video summarization, 2007

Trust me. I am working on many projects. I just haven't posted it here yet.