Hengrui Zhang
15 papers · 2021–2025 · 8 venues · across top CS/AI venues
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Machine Learning
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Deep Learning
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Artificial Intelligence
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Core AI
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Data Science & Analytics
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Natural Language Processing
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Keywords
graph neural network
(5)
diffusion model
(4)
representation learning
(2)
contrastive learning
(2)
self-supervised learning
(2)
graph representation learning
(2)
synthetic data
(2)
matrix factorization
(1)
in-context learning
(1)
causal inference
(1)
constrained reinforcement learning
(1)
large-scale learning
(1)
information retrieval
(1)
model architecture
(1)
attention mechanism
(1)
mutual information
(1)
distribution matching
(1)
out-of-distribution generalization
(1)
graph representation
(1)
collaborative filtering
(1)
Papers
Data-Centric Graph Condensation via Diffusion Matching
ACML 2025
DiffPuter: Empowering Diffusion Models for Missing Data Imputation
ICLR 2025
PathwiseRAG: Multi-Dimensional Exploration and Integration Framework
EMNLP 2025
TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
ICLR 2025
TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
ACL 2025
TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data
ICML 2025
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation
AAAI 2024
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
NeurIPS 2024
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
NeurIPS 2024
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
ICLR 2024
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
NeurIPS 2023
Align Representations With Base: A New Approach to Self-Supervised Learning
CVPR 2022
Handling Distribution Shifts on Graphs: An Invariance Perspective
ICLR 2022
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
NeurIPS 2021
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
ICML 2021