NULI at SemEval-2019 task 6: Transfer learning for offensive language detection using bidirectional transformers P Liu, W Li, L Zou Proceedings of the 13th international workshop on semantic evaluation, 87-91, 2019 | 198 | 2019 |
Forecasting the presence and intensity of hostility on Instagram using linguistic and social features P Liu, J Guberman, L Hemphill, A Culotta Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018 | 91 | 2018 |
A comparative study of off-line deep learning based network intrusion detection J Yan, D Jin, CW Lee, P Liu 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN …, 2018 | 50 | 2018 |
The interaction between political typology and filter bubbles in news recommendation algorithms P Liu, K Shivaram, A Culotta, MA Shapiro, M Bilgic Proceedings of the Web Conference 2021, 3791-3801, 2021 | 42 | 2021 |
OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics JM Matthews, B Schuster, SS Kashaf, P Liu, R Ben-Yishay, ... PLoS computational biology 18 (11), e1010584, 2022 | 37 | 2022 |
Computer vision reveals hidden variables underlying NF-κB activation in single cells P Patel, N Drayman, P Liu, M Bilgic, S Tay Science Advances 7 (43), eabg4135, 2021 | 9 | 2021 |
Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation K Shivaram, P Liu, M Shapiro, M Bilgic, A Culotta Proceedings of the 16th ACM Conference on Recommender Systems, 220-228, 2022 | 4 | 2022 |
OrganoID: a versatile deep learning platform for organoid image analysis J Matthews, B Schuster, SS Kashaf, P Liu, M Bilgic, A Rzhetsky, S Tay bioRxiv, 2022.01. 13.476248, 2022 | 4 | 2022 |
Relational classification of biological cells in microscopy images P Liu, M Bilgic Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 344-352, 2021 | 2 | 2021 |
Deep learning reveals hidden variables underlying NF-κB activation in single cells P Patel, N Drayman, P Liu, M Bilgic, S Tay bioRxiv, 687848, 2019 | 2 | 2019 |
An agent-based model on antimicrobial de-escalation in intensive care units: Implications on clinical trial design X Huo, P Liu Plos one 19 (4), e0301944, 2024 | | 2024 |
Learning to Retrieve for Job Matching J Shen, Y Juan, S Zhang, P Liu, W Pu, S Vasudevan, Q Song, F Borisyuk, ... arXiv preprint arXiv:2402.13435, 2024 | | 2024 |
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks P Liu, H Wei, X Hou, J Shen, S He, KQ Shen, Z Chen, F Borisyuk, ... arXiv preprint arXiv:2402.13430, 2024 | | 2024 |
LiGNN: Graph Neural Networks at LinkedIn F Borisyuk, S He, Y Ouyang, M Ramezani, P Du, X Hou, C Jiang, ... arXiv preprint arXiv:2402.11139, 2024 | | 2024 |
The Analysis of the Expected Change in the Classification Probability of the Predicted Label R Yang, P Liu, M Bilgic Transactions on Machine Learning Research, 2023 | | 2023 |
Understanding and Combating Filter Bubbles in News Recommender Systems P Liu Illinois Institute of Technology, 2022 | | 2022 |