Jiani Zhang

Orcid: 0000-0003-0074-6761

Affiliations:
  • Amazon Web Services, USA


According to our database1, Jiani Zhang authored at least 15 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.
Trans. Mach. Learn. Res., 2024

Hierarchical Compression of Text-Rich Graphs via Large Language Models.
CoRR, 2024

FeatNavigator: Automatic Feature Augmentation on Tabular Data.
CoRR, 2024

GraphStorm: all-in-one graph machine learning framework for industry applications.
CoRR, 2024

KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion.
CoRR, 2024

OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories.
CoRR, 2024

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.
CoRR, 2024

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Revisit Orthogonality in Graph-Regularized MLPs.
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.
CoRR, 2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.
CoRR, 2023

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

NameGuess: Column Name Expansion for Tabular Data.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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