Publications
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NFT Wash Trading Detection
Victor Fang et al, Crypto Economics Security Conference (CESC), UC Berkeley, 2023.
Available: PDF |
Conference |
arXiv
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Machine Learning Approach to Identify Malicious Smart Contract Opcodes: A Preliminary Study
Victor Fang et al, Proceedings of Blockchain Kaigi 2023 (BCK23). DOI: 10.7566/JPSCP.43.011002. Available: Journal Link
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Multimodal Ensemble Fusion for Disambiguation and Retrieval
X. Zhou, D. Z. Wang, I. Patwa, D. Gong, and C. V. Fang, 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016, pp. 1–6. Available: IEEE Xplore
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Scalable Image Retrieval with Multimodal Fusion
Y. Peng, X. Zhou, D. Z. Wang, and C. V. Fang, Proceedings of the Twenty-Ninth International Conference on Artificial Intelligence (AAAI), 2016, pp. 1234–1240. Available: AAAI
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Triaging Anomalies in Dynamic Graphs: Towards Reducing False Positives
T. Wang, C. V. Fang, and C. M. Lai, 2015 IEEE International Conference on Big Data (Big Data), 2015, pp. 2341–2346. Available: IEEE Xplore
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Probabilistic Ensemble Fusion for Multimodal Word Sense Disambiguation
D. Z. Wang, I. Patwa, D. Gong, and C. V. Fang, 2015 IEEE International Conference on Multimedia and Expo (ICME), 2015, pp. 1–6. Available: IEEE Xplore
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A Hybrid Learning from Multi-Behavior for Malicious Domain Detection on Enterprise Network
L. Shi, D. Lin, C. V. Fang, and Y. Zhai, 2015 IEEE International Conference on Big Data (Big Data), 2015, pp. 1452–1458. Available: IEEE Xplore
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Novel Frameworks for Mining Heterogeneous and Dynamic Networks
C. V. Fang, Doctoral dissertation, The Ohio State University, 2011. Available: ProQuest