| Large language models and causal inference in collaboration: A comprehensive survey X Liu*, P Xu*, J Wu, J Yuan, Y Yang, Y Zhou, F Liu, T Guan, H Wang, T Yu, ... Findings of the Association for Computational Linguistics: NAACL 2025, 2025 | 142* | 2025 |
| A novel visibility graph transformation of time series into weighted networks P Xu, R Zhang, Y Deng Chaos, Solitons & Fractals 117, 201-208, 2018 | 75 | 2018 |
| The twitter social mobility index: Measuring social distancing practices with geolocated tweets P Xu, M Dredze, DA Broniatowski Journal of medical Internet research 22 (12), e21499, 2020 | 64 | 2020 |
| Towards understanding in-context learning with contrastive demonstrations and saliency maps F Liu*, P Xu*, Z Li*, Y Feng, H Song arXiv preprint arXiv:2307.05052, 2023 | 57 | 2023 |
| Explore Spurious Correlations at the Concept Level in Language Models for Text Classification Y Zhou, P Xu, X Liu, B An, W Ai, F Huang ACL 2024, 2023 | 51* | 2023 |
| On predictability of time series P Xu, L Yin, Z Yue, T Zhou Physica A: Statistical Mechanics and its Applications 523, 345-351, 2019 | 46 | 2019 |
| Using noisy self-reports to predict twitter user demographics Z Wood-Doughty*, P Xu*, X Liu, M Dredze SocialNLP @ NAACL, 123-137, 2021 | 25 | 2021 |
| The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education P Xu, J Liu, N Jones, J Cohen, W Ai NAACL 2024, 2024 | 18 | 2024 |
| GFairHint: improving individual fairness for graph neural networks via fairness hint P Xu*, Y Zhou*, B An, W Ai, F Huang ACM Transactions on Knowledge Discovery from Data, 2025 | 14* | 2025 |
| Emojis decoded: Leveraging chatgpt for enhanced understanding in social media communications Y Zhou, P Xu, X Wang, X Lu, G Gao, W Ai ICWSM 2025, 2024 | 14 | 2024 |
| Large language models struggle to describe the haystack without human help: A social science-inspired evaluation of topic models Z Li, L Calvo-Bartolomé, AM Hoyle, P Xu, DK Stephens, JF Fung, A Dima, ... ACL 2025, 7583-7604, 2025 | 9* | 2025 |
| Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation Y Zhou, J Zhu, P Xu, X Liu, X Wang, D Koutra, W Ai, F Huang Findings of the Association for Computational Linguistics: EMNLP 2024, 2024 | 6 | 2024 |
| DISCO Balances the Scales: Adaptive Domain-and Difficulty-Aware Reinforcement Learning on Imbalanced Data Y Zhou, J Zhu, S Qian, Z Zhao, X Wang, X Liu, M Li, P Xu, W Ai, F Huang Findings of the Association for Computational Linguistics: EMNLP 2025, 2025 | 4 | 2025 |
| Twitter social mobility data reveal demographic variations in social distancing practices during the COVID-19 pandemic P Xu, DA Broniatowski, M Dredze Scientific reports 14 (1), 1165, 2024 | 4 | 2024 |
| A novel weight determination method for time series data aggregation P Xu, R Zhang, Y Deng Physica A: Statistical Mechanics and its Applications 482, 42-55, 2017 | 3 | 2017 |
| Skill discovery for software scripting automation via offline simulations with llms P Xu, G Wu, X Chen, T Yu, C Xiao, F Dernoncourt, T Zhou, W Ai, ... Findings of the Association for Computational Linguistics: EACL 2026, 2025 | 2 | 2025 |
| Does Geo-co-location Matter? A Case Study of Public Health Conversations during COVID-19 P Xu, L Raschid, V Frias-Martinez ICWSM 2026, 2025 | | 2025 |
Yuhang ZhouResearch Scientist, MetaVerified email at umich.edu
