| Can llms effectively leverage graph structural information: when and why J Huang, X Zhang, Q Mei, J Ma | 42 | 2023 |
| MASSW: A new dataset and benchmark tasks for ai-assisted scientific workflows X Zhang, Y Xie, J Huang, J Ma, Z Pan, Q Liu, Z Xiong, T Ergen, D Shim, ... arXiv preprint arXiv:2406.06357, 2024 | 8 | 2024 |
| Graph learning indexer: A contributor-friendly and metadata-rich platform for graph learning benchmarks J Ma, X Zhang, H Fan, J Huang, T Li, TW Li, Y Tu, C Zhu, Q Mei Learning on Graphs Conference, 7: 1-7: 23, 2022 | 4 | 2022 |
| Fast learning of MNL model from general partial rankings with application to network formation modeling J Ma, X Zhang, Q Mei Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 3 | 2022 |
| Conditional transformer fine-tuning by adaptive layer skipping X Zhang, J Tang, Y Liu, X Yi, L Wei, L Hong, Q Mei, EH Chi 5th Workshop on practical ML for limited/low resource settings, 0 | 1 | |
| Map2Text: New Content Generation from Low-Dimensional Visualizations X Zhang, Z Xiong, S Liu, Y Xie, T Ergen, D Shim, H Xu, H Lee, Q Me arXiv preprint arXiv:2412.18673, 2024 | | 2024 |
| : A Library for Efficient Data Attribution J Deng, TW Li, S Zhang, S Liu, Y Pan, H Huang, X Wang, P Hu, X Zhang, ... arXiv preprint arXiv:2410.04555, 2024 | | 2024 |
| DCA-Bench: A Benchmark for Dataset Curation Agents B Huang, Y Yu, J Huang, X Zhang, J Ma arXiv preprint arXiv:2406.07275, 2024 | | 2024 |
| Leveraging LLM-Generated Structural Prior for Causal Inference with Concurrent Causes X Zhang, S Liu, Y Wang, Q Mei Causality and Large Models@ NeurIPS 2024, 2024 | | 2024 |
Qiaozhu MeiProfessor, University of MichiganVerified email at umich.edu