| An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief G Beigi, X Hu, R Maciejewski, H Liu Sentiment Analysis and Ontology Engineering: An Environment of Computational …, 2016 | 280 | 2016 |
| Twitter for Sparking a Movement, Reddit for Sharing the Moment:# metoo through the Lens of Social Media L Manikonda, G Beigi, H Liu, S Kambhampati International Conference on Social Computing, Behavioral-Cultural Modeling …, 2018 | 181* | 2018 |
| A Survey on Privacy in Social Media: Identification, Mitigation and Applications G Beigi, H Liu ACM Transactions on Data Science (TDS) 1, 1--38, 2020 | 86 | 2020 |
| Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning G Beigi, A Mosallanezhad, R Guo, H Alvari, A Nou, H Liu 13th ACM International Conference on Web Search and Data Mining (WSDM'20), 2020 | 78 | 2020 |
| Exploiting Emotional Information for Trust/Distrust Prediction G Beigi, J Tang, S Wang, H Liu SIAM International Conference on Data Mining (SDM), 2016 | 57 | 2016 |
| Signed Link Analysis in Social Media Networks G Beigi, J Tang, H Liu International AAAI Conference on Web and Social Media (ICWSM), 2016 | 56 | 2016 |
| Privacy in social media: Identification, mitigation and applications G Beigi, H Liu arXiv preprint arXiv:1808.02191, 2018 | 55 | 2018 |
| Deep reinforcement learning-based text anonymization against private-attribute inference A Mosallanezhad, G Beigi, H Liu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 53 | 2019 |
| Privacy Preserving Text Representation Learning G Beigi, K Shu, R Guo, S Wang, H Liu In the 30th ACM International Conference on Hypertext and Social Media (HT-2019), 2019 | 43 | 2019 |
| Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles G Beigi, R Guo, A Nou, Y Zhang, H Liu 12th International Conference on Web Search and Data Mining (WSDM-19), 2019 | 37 | 2019 |
| Securing Social Media User Data - An Adversarial Approach G Beigi, K Shu, Y Zhang, H Liu In the 29th ACM International Conference on Hypertext and Social Media (HT-18), 2018 | 35 | 2018 |
| Sentiment analysis and ontology engineering W Pedrycz, SM Chen Studies in Computational Intelligence 639, 2016 | 32 | 2016 |
| Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media H Alvari, E Shaabani, S Sarkar, G Beigi, P Shakarian Proceedings of The Web Conference (WWW'19), 2019 | 31 | 2019 |
| Leveraging community detection for accurate trust prediction G Beigi, M Jalili, H Alvari, G Sukthankar Academy of Science and Engineering (ASE), USA,© ASE 2014, 2014 | 29 | 2014 |
| Similar But Different: Exploiting Users Congruity for Recommendation Systems G Beigi, H Liu International Conference on Social Computing, Behavioral-Cultural Modeling …, 2018 | 27 | 2018 |
| Signed Link Prediction with Sparse Data: The Role of Personality Information G Beigi, S Ranganath, H Liu Proceedings of The Web Conference (WWW'19), 2019 | 20 | 2019 |
| Identifying Novel Privacy Issues of Online Users on Social Media Platforms G Beigi, H Liu ACM SIGWEB Newsletter, 2019 | 17 | 2019 |
| Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis G Beigi, J Tang, H Liu ACM Transactions on Intelligent Systems and Technology (TIST) 11 (1), 2020 | 14 | 2020 |
| Social Media and User Privacy G Beigi Doctoral Consortium (International Conference on Social Computing …, 2018 | 14 | 2018 |
| Privacy preserving text representation learning using bert W Alnasser, G Beigi, H Liu Social, Cultural, and Behavioral Modeling: 14th International Conference …, 2021 | 13 | 2021 |
Huan LiuRegents Professor, Arizona State UniversityE-mail confirmado em asu.edu
