Jiani Zhang

According to our database, Jiani Zhang authored at least 21 papers between 2023 and 2025.

Collaborative distances:

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

2025

DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation.

He Wang, Alexander Hanbo Li, Yiqun Hu, Sheng Zhang, Hideo Kobayashi, Jiani Zhang, Henry Zhu, Chung-Wei Hang, Patrick Ng

CoRR, May, 2025

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation.

Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Türkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang Wang, George Karypis

CoRR, May, 2025

CoddLLM: Empowering Large Language Models for Data Analytics.

Jiani Zhang, Hengrui Zhang, Rishav Chakravarti, Yiqun Hu, Patrick Ng, Asterios Katsifodimos, Huzefa Rangwala, George Karypis, Alon Y. Halevy

CoRR, February, 2025

Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models.

Naihao Deng, Sheng Zhang, Henghui Zhu, Shuaichen Chang, Jiani Zhang, Alexander Hanbo Li, Chung-Wei Hang, Hideo Kobayashi, Yiqun Hu, Patrick Ng

CoRR, January, 2025

Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation.

Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, Xiangxiang Zeng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Featpilot: Automatic Feature Augmentation on Tabular Data.

Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.

Xi Fang, Weijie Xu, Fiona Anting Tan, Ziqing Hu, Jiani Zhang, Yanjun Qi, Srinivasan H. Sengamedu, Christos Faloutsos

Trans. Mach. Learn. Res., 2024

Hierarchical Compression of Text-Rich Graphs via Large Language Models.

Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun

CoRR, 2024

FeatNavigator: Automatic Feature Augmentation on Tabular Data.

Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala

CoRR, 2024

GraphStorm: all-in-one graph machine learning framework for industry applications.

Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis

CoRR, 2024

KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion.

Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng

CoRR, 2024

OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories.

Christos Koutras, Jiani Zhang, Xiao Qin, Chuan Lei, Vasileios Ioannidis, Christos Faloutsos, George Karypis, Asterios Katsifodimos

CoRR, 2024

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.

Xi Fang, Weijie Xu, Fiona Anting Tan, Jiani Zhang, Ziqing Hu, Yanjun Qi, Scott Nickleach, Diego Socolinsky, Srinivasan H. Sengamedu, Christos Faloutsos

CoRR, 2024

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.

Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners.

Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage.

Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Revisit Orthogonality in Graph-Regularized MLPs.

Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection.

Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis

CoRR, 2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.

Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu

CoRR, 2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.

Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun

Proceedings of the ACM Web Conference 2023, 2023

NameGuess: Column Name Expansion for Tabular Data.

Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Shen Wang, Huzefa Rangwala, George Karypis

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023