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Home/Authors/Kezhi Kong

Kezhi Kong

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 1:13 AM AMS

5

papers

448

total citations

papers (5)

On the Reliability of Watermarks for Large Language Models

Robust Optimization As Data Augmentation for Large-Scale Graphs

GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training

NEURIPS 2021arXiv

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

NEURIPS 2021arXiv

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