| 2020 | WSDM | Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. | Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu |
| 2019 | EMNLP | Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference. | Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu |
| 2019 | WWW | Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media. | Hamidreza Alvari, Elham Shaabani, Soumajyoti Sarkar, Ghazaleh Beigi, Paulo Shakarian |
| 2019 | WWW | Signed Link Prediction with Sparse Data: The Role of Personality Information. | Ghazaleh Beigi, Suhas Ranganath, Huan Liu |
| 2019 | WSDM | Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. | Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu |
| 2018 | WSDM | Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests. | Suhas Ranganath, Ghazaleh Beigi, Huan Liu |
| 2016 | ICWSM | Signed Link Analysis in Social Media Networks. | Ghazaleh Beigi, Jiliang Tang, Huan Liu |
| 2016 | SDM | Exploiting Emotional Information for Trust/Distrust Prediction. | Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu |