Zhang, Xingjian

6 publications

NeurIPS 2024 $\texttt{dattri}$: A Library for Efficient Data Attribution Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma

TMLR 2024 Can LLMs Effectively Leverage Graph Structural Information Through Prompts, and Why? Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

ICLRW 2024 Conditional Transformer Fine-Tuning by Adaptive Layer Skipping Xingjian Zhang, Jiaxi Tang, Yang Liu, Xinyang Yi, Li Wei, Lichan Hong, Qiaozhu Mei, Ed H. Chi

NeurIPSW 2024 Leveraging LLM-Generated Structural Prior for Causal Inference with Concurrent Causes Xingjian Zhang, Shixuan Liu, Yixin Wang, Qiaozhu Mei

NeurIPSW 2023 Can LLMs Effectively Leverage Graph Structural Information: When and Why Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

LoG 2022 Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei