| Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviors K Sharma*, Y Zhang*, E Ferrara, Y Liu Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021 | 81* | 2021 |
| Dane: Domain adaptive network embedding Y Zhang, G Song, L Du, S Yang, Y Jin IJCAI 2019, 2019 | 68 | 2019 |
| COVID-19 vaccine misinformation campaigns and social media narratives K Sharma, Y Zhang, Y Liu Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 48* | 2022 |
| VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media Y Zhang*, K Sharma*, Y Liu Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021 | 20 | 2021 |
| Domain Adaptive Network Embedding G Song, Y Zhang, L Xu, H Lu IEEE Transactions on Big Data, 2020 | 16* | 2020 |
| Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media Y Zhang*, D Cao*, Y Liu Advances In Neural Information Processing Systems (NeurIPS), 2022, 2022 | 14 | 2022 |
| Chinese medical concept normalization by using text and comorbidity network embedding Y Zhang, X Ma, G Song 2018 IEEE international conference on data mining (ICDM), 777-786, 2018 | 11 | 2018 |
| Detecting out-of-context multimodal misinformation with interpretable neural-symbolic model Y Zhang, L Trinh, D Cao, Z Cui, Y Liu arXiv preprint arXiv:2304.07633, 2023 | 7 | 2023 |
| PolSIRD: Modeling Epidemic Spread under Intervention Policies and an Application to the Spread of COVID-19 N Kamra, Y Zhang, S Rambhatla, C Meng, Y Liu | 7* | 2020 |
| Active domain transfer on network embedding L Jin, Y Zhang, G Song, Y Jin Proceedings of The Web Conference 2020, 2683-2689, 2020 | 5 | 2020 |
| Capturing cross-platform interaction for identifying coordinated accounts of misinformation campaigns Y Zhang, K Sharma, Y Liu European Conference on Information Retrieval, 694-702, 2023 | 3 | 2023 |
| Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning Y Zhang, J Ni, W Cheng, Z Chen, L Tong, H Chen, Y Liu Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving Y Zhang, L Du, D Cao, Q Fu, Y Liu arXiv preprint arXiv:2402.05359, 2024 | | 2024 |
| Improving Weakly Supervised Scene Graph Parsing through Object Grounding Y Zhang, Z Zheng, R Nevatia, Y Liu 2022 26th International Conference on Pattern Recognition (ICPR), 4058-4064, 2022 | | 2022 |
Yan LiuProfessor, Director of Machine Learning Center@USCVerified email at usc.edu
