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Guang Xiang
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2010 – 2019
- 2014
- [j2]Jun Yang, Bin Wang, Xiaochun Yang, Hongyi Zhang, Guang Xiang:
A secure K-automorphism privacy preserving approach with high data utility in social networks. Secur. Commun. Networks 7(9): 1399-1411 (2014) - 2013
- [c20]Yingze Wang, Guang Xiang, Shi-Kuo Chang:
Sparse Multi-Task Learning for Detecting Influential Nodes in an Implicit Diffusion Network. AAAI 2013: 926-932 - [c19]Wang Ling, Guang Xiang, Chris Dyer, Alan W. Black, Isabel Trancoso:
Microblogs as Parallel Corpora. ACL (1) 2013: 176-186 - [c18]Miaomiao Wen, Zeyu Zheng, Hyeju Jang, Guang Xiang, Carolyn Penstein Rosé:
Extracting Events with Informal Temporal References in Personal Histories in Online Communities. ACL (2) 2013: 836-842 - 2012
- [c17]Chao Shen
, Zhongmin Cai, Roy A. Maxion, Guang Xiang, Xiaohong Guan:
Comparing classification algorithm for mouse dynamics based user identification. BTAS 2012: 61-66 - [c16]Guang Xiang, Bin Fan, Ling Wang, Jason I. Hong
, Carolyn P. Rosé
:
Detecting offensive tweets via topical feature discovery over a large scale twitter corpus. CIKM 2012: 1980-1984 - [c15]Wang Ling, Nadi Tomeh, Guang Xiang, Isabel Trancoso, Alan W. Black:
Improving Relative-Entropy Pruning using Statistical Significance. COLING (Posters) 2012: 713-722 - [c14]Guang Xiang, Zeyu Zheng, Miaomiao Wen, Jason I. Hong, Carolyn Penstein Rosé, Chao Liu:
A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch. ICWSM 2012 - [c13]Lu Jiang, Alexander G. Hauptmann, Guang Xiang:
Leveraging high-level and low-level features for multimedia event detection. ACM Multimedia 2012: 449-458 - [c12]Yingze Wang, Guang Xiang, Shi-Kuo Chang:
Sparse Linear Influence Model for Hot User Selection on Mining a Social Network. SEKE 2012: 1-6 - 2011
- [j1]Guang Xiang, Jason I. Hong
, Carolyn P. Rosé
, Lorrie Faith Cranor
:
CANTINA+: A Feature-Rich Machine Learning Framework for Detecting Phishing Web Sites. ACM Trans. Inf. Syst. Secur. 14(2): 21:1-21:28 (2011) - [c11]Gang Liu, Guang Xiang, Bryan A. Pendleton, Jason I. Hong
, Wenyin Liu:
Smartening the crowds: computational techniques for improving human verification to fight phishing scams. SOUPS 2011: 8 - 2010
- [c10]Guang Xiang, Bryan A. Pendleton, Jason I. Hong
, Carolyn P. Rosé
:
A Hierarchical Adaptive Probabilistic Approach for Zero Hour Phish Detection. ESORICS 2010: 268-285 - [c9]Jialiu Lin, Guang Xiang, Jason I. Hong
, Norman M. Sadeh
:
Modeling people's place naming preferences in location sharing. UbiComp 2010: 75-84
2000 – 2009
- 2009
- [c8]Guang Xiang, Jason I. Hong
:
A hybrid phish detection approach by identity discovery and keywords retrieval. WWW 2009: 571-580 - 2007
- [c7]Alexander G. Hauptmann, Michael G. Christel
, Wei-Hao Lin, Bryan Maher, Jun Yang, Robert V. Baron, Guang Xiang:
Clever clustering vs. simple speed-up for summarizing rushes. TVS 2007: 20-24 - [c6]Alexander G. Hauptmann, Michael G. Christel, Wei-Hao Lin, Bryan Maher, Jun Yang, Robert V. Baron, Guang Xiang:
Summarizing BBC Rushes the Informedia Way. TRECVID 2007 - 2005
- [c5]Guang Xiang, Xiaomei Dong, Ge Yu:
Correlating Alerts with a Data Mining Based Approach. EEE 2005: 341-346 - 2004
- [c4]Xiangli Qu, Nong Xiao, Guang Xiang, Xuejun Yang:
Reputation-Aware Contract-Supervised Grid Computing. GCC Workshops 2004: 44-51 - [c3]Guang Xiang, Ge Yu, Xiangli Qu, Xiaomei Dong, Lina Wang:
A Hybrid Machine Learning/Statistical Model of Grid Security. GCC 2004: 348-355 - [c2]Xiangli Qu, Xuejun Yang, Guang Xiang, Haifang Zhou:
Credential Trustworthiness-Based Trust Evaluation in Grid. GCC Workshops 2004: 554-562 - [c1]Xiaomei Dong, Guang Xiang, Ge Yu:
An Intrusion Detection and Response Cooperation Model Based on XML Message Exchange. PACIS 2004: 118
Coauthor Index
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