Xingjian Zhang

According to our database, Xingjian Zhang authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

IRIS: time-structured manifold projections.

Brian D. Ondov, Chia-Hsuan Chang, Weipeng Zhou, Xingjian Zhang, Xueqing Peng, Yutong Xie, Huan He, Qiaozhu Mei, Hua Xu

CoRR, May, 2026

FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases.

Xingjian Zhang, Sophia Moylan, Ziyang Xiong, Qiaozhu Mei, Yichen Luo, Jiaqi W. Ma

CoRR, February, 2026

Through the Judge's Eyes: Inferred Thinking Traces Improve Reliability of LLM Raters.

Xingjian Zhang, Tianhong Gao, Suliang Jin, Tianhao Wang, Teng Ye, Eytan Adar, Qiaozhu Mei

Trans. Mach. Learn. Res., 2026

Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning Benchmarks.

Xinhe Wang, Jin Huang, Xingjian Zhang, Tianhao Wang, Jiaqi W. Ma

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Be.FM: Open Foundation Models for Human Behavior.

Yutong Xie, Zhuoheng Li, Xiyuan Wang, Yijun Pan, Qijia Liu, Xingzhi Cui, Kuang-Yu Lo, Ruoyi Gao, Xingjian Zhang, Jin Huang, Walter Yuan, Matthew O. Jackson, Qiaozhu Mei

CoRR, May, 2025

MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows.

Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

DCA-Bench: A Benchmark for Dataset Curation Agents.

Benhao Huang, Yingzhuo Yu, Jin Huang, Xingjian Zhang, Jiaqi W. Ma

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MapExplorer: New Content Generation from Low-Dimensional Visualizations.

Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?

Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

Trans. Mach. Learn. Res., 2024

Map2Text: New Content Generation from Low-Dimensional Visualizations.

Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei

CoRR, 2024

The Second Workshop on Large Language Models for Individuals, Groups, and Society.

Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Can LLMs Effectively Leverage Graph Structural Information: When and Why.

Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

CoRR, 2023

The 3rd Workshop on Graph Learning Benchmarks (GLB 2023).

Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling.

Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 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

Proceedings of the Learning on Graphs Conference, 2022