30 citations · 100 across the 11 of their papers we have counts for
4 papers · 1 filter
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity
Mohammadreza Ebrahimi, Yidong Chai, Hao Helen Zhang +1
Learning predictive models in new domains with scarce training data is a growing challenge in modern supervised learning scenarios. This incentivizes developing domain adaptation m…
Global Mapping of Gene/Protein Interactions in PubMed Abstracts: A Framework and an Experiment with P53 Interactions
Xin Li, Hsinchun Chen, Zan Huang +2
Gene/protein interactions provide critical information for a thorough understanding of cellular processes. Recently, considerable interest and effort has been focused on the constr…
Gene Function Prediction with Gene Interaction Networks: A Context Graph Kernel Approach
Xin Li, Hsinchun Chen, Jiexun Li +1
Predicting gene functions is a challenge for biologists in the post genomic era. Interactions among genes and their products compose networks that can be used to infer gene functio…
Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence
Ning Zhang, Mohammadreza Ebrahimi, Weifeng Li +1
Automated monitoring of dark web (DW) platforms on a large scale is the first step toward developing proactive Cyber Threat Intelligence (CTI). While there are efficient methods fo…