Kezhi Kong
9 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π§ Keyword Pioneer π Cross-Pollinator (6) πΊοΈ Taxonomy Completionist (23) π Interdisciplinary Bridge
π
Grand Slam
π₯
Unstoppable
(5)
Conferences
ICLR (2)
ICML (2)
NIPS (2)
AAAI (1)
ACL (1)
CVPR (1)
Top co-authors
Keywords
node classification
(3)
graph neural network
(3)
data augmentation
(2)
link prediction
(2)
semi-supervised learning
(1)
few-shot learning
(1)
graph classification
(1)
message passing
(1)
vector quantization
(1)
generative model
(1)
adam optimizer
(1)
adversarial perturbation
(1)
variational autoencoder
(1)
graph transformer
(1)
language model
(1)
synthetic datum
(1)
training stability
(1)
pretraining dataset
(1)
few-shot classification
(1)
neural network initialization
(1)
Papers
Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset
ACL 2025
On the Reliability of Watermarks for Large Language Models
ICLR 2024
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
ICLR 2024
GOAT: A Global Transformer on Large-scale Graphs
ICML 2023
Robust Optimization As Data Augmentation for Large-Scale Graphs
CVPR 2022
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
NIPS 2021
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
AAAI 2021
Data Augmentation for Meta-Learning
ICML 2021
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
NIPS 2021