Scholar
Yuankai Luo
Google Scholar ID: 33f_QqAAAAAJ
Beihang University
Graph Neural Networks
Generative Models
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Homepage
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Citations & Impact
All-time
Citations
218
H-index
8
i10-index
8
Publications
12
Co-authors
6
list available
Contact
Email
yuankluo@polyu.edu.hk
Twitter
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GitHub
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Publications
5 items
CORAL: Scalable Multi-Task Robot Learning via LoRA Experts
2026
Cited
0
SimVLA: A Simple VLA Baseline for Robotic Manipulation
2026
Cited
0
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression
2026
Cited
0
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
2025
Cited
0
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence
2025
Cited
0
Resume (English only)
Academic Achievements
NeurIPS 2023: 'Transformers over Directed Acyclic Graphs'
NeurIPS 2023: 'Improving Self-supervised Molecular Representation Learning using Persistent Homology'
SIGKDD 2023: 'Impact-Oriented Contextual Scholar Profiling Using Self-Citation Graphs'
NeurIPS 2024: 'Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification'
NeurIPS 2024: 'Enhancing Graph Transformers with Hierarchical Distance Structural Encoding'
ICLR 2025: 'Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning'
ICLR 2025: 'Beyond Random Masking: When Dropout meets Graph Convolutional Networks'
ICML 2025: 'Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence'
Co-authors
6 total
Lei Shi
Professor, School of Computer Science and Engineering, Beihang University
Xiao-Ming Wu
Associate Professor, The Hong Kong Polytechnic University
Veronika Thost
MIT-IBM Watson AI Lab, IBM Research
Hongkang Li
University of Pennsylvania
Zhijun Chen
Beihang University
Hao Zhu
Data61@CSIRO
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