| 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 | 110* | 2021 |
| Dane: Domain adaptive network embedding Y Zhang, G Song, L Du, S Yang, Y Jin IJCAI 2019, 2019 | 82 | 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 | 59* | 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 | 30 | 2021 |
| Domain Adaptive Network Embedding G Song, Y Zhang, L Xu, H Lu IEEE Transactions on Big Data, 2020 | 21* | 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 | 19 | 2022 |
| 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 | 17 | 2023 |
| 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 | 13 | 2018 |
| 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 | 10 | 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 | 8* | 2020 |
| Toward Mitigating Misinformation and Social Media Manipulation in LLM Era Y Zhang, K Sharma, L Du, Y Liu Companion Proceedings of the ACM on Web Conference 2024, 1302-1305, 2024 | 6 | 2024 |
| An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models Y Zhang, L Du, D Cao, Q Fu, Y Liu arXiv preprint arXiv:2402.05359, 2024 | 6* | 2024 |
| Active domain transfer on network embedding L Jin, Y Zhang, G Song, Y Jin Proceedings of The Web Conference 2020, 2683-2689, 2020 | 4 | 2020 |
| Timedit: General-purpose diffusion transformers for time series foundation model D Cao, W Ye, Y Zhang, Y Liu arXiv preprint arXiv:2409.02322, 2024 | 3 | 2024 |
| 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 | 1 | 2024 |
| Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution W Ye, Y Zhang, W Yang, L Tang, D Cao, J Cai, Y Liu arXiv preprint arXiv:2410.04047, 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
