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Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity



Mohammadreza Ebrahimi , Yidong Chai , Hao Helen Zhang , Hsinchun Chen

* Forthcoming in IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI) 

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Global Mapping of Gene/Protein Interactions in PubMed Abstracts: A Framework and an Experiment with P53 Interactions



Xin Li , Hsinchun Chen , Zan Huang , Hua Su , Jesse D. Martinez

* Journal of biomedical informatics, 2007 

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Gene Function Prediction with Gene Interaction Networks: A Context Graph Kernel Approach



Xin Li , Hsinchun Chen , Jiexun Li , Zhu Zhang

* IEEE Transactions on Information Technology in Biomedicine, 2010 

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Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence



Ning Zhang , Mohammadreza Ebrahimi , Weifeng Li , Hsinchun Chen

* Accepted by ACM Transactions on Management Information Systems 

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Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach



James Lee Hu , Mohammadreza Ebrahimi , Hsinchun Chen


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Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach



Yizhi Liu , Fang Yu Lin , Mohammadreza Ebrahimi , Weifeng Li , Hsinchun Chen


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Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model



Mohammadreza Ebrahimi , Ning Zhang , James Hu , Muhammad Taqi Raza , Hsinchun Chen

* AAAI Conference on Artificial Intelligence, Workshop on Robust, Secure, and Efficient Machine Learning (RSEML), February 2-9, 2021 
* Accepted in 35th AAAI Conference on Artificial Intelligence, Workshop on Robust, Secure, and Efficient Machine Learning (RSEML) 

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Deep Learning for Information Systems Research



Sagar Samtani , Hongyi Zhu , Balaji Padmanabhan , Yidong Chai , Hsinchun Chen

* 56 pages total, 1 page title and authors, 42 pages main text, 13 pages appendix 

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Evaluating the Usefulness of Sentiment Information for Focused Crawlers



Tianjun Fu , Ahmed Abbasi , Daniel Zeng , Hsinchun Chen

* Fu, T., Abbasi, A., Zeng, D., and Chen, H. "Evaluating the Usefulness of Sentiment Information for Focused Crawlers," In Proceedings of the 20th Annual Workshop on Information Technologies and Systems, St. Louis, MO, December 11-12, 2010 

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