About Me

Research Interests

• Graph Machine Learning

• Large Language Models (LLMs)

• Data Mining

• Large Scale Machine Learning

• Multimodal Learning

• Recommendation Systems

Publications

• XUE Rui et al. "H³GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning." ICLR 2026.

• XUE Rui et al. "Efficient End-to-end Language Model Fine-tuning on Graphs." KDD, 2025.

• XUE Rui et al. "Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks." ICML, 2025.

• XUE Rui* et al. "Linear-Time Graph Neural Networks for Scalable Recommendations." WWW, 2024. 

• XUE Rui et al. "LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation." ICML, 2023.

Tutorial

• XUE Rui et al. "Large-Scale Graph Neural Networks: The Past and New Frontiers." Tutorial, KDD, 2023. (Website)

• XUE Rui et al. "Large-Scale Graph Neural Networks: Navigating the Past and Pioneering New Horizons." Tutorial, AAAI, 2024. (Website)

• XUE Rui et al. "Large-Scale Graph Neural Networks: Navigating the Past and Pioneering New Horizons." Tutorial, SDM, 2024.

• XUE Rui et al. "The Dynamic Error Analysis of the Current Transformer." 23rd IMEKO TC4 International Symposium on Electrical and Electronic Measurements Promote Industry 4.0, 2019.

(* Co-first Author)

Preprints

• XUE Rui et al. "SimPlex-GT: Simplifying Graph Transformers for Joint Modeling of Homophily and Heterophily via Node-to-Cluster Attention."

• XUE Rui et al. "E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems." arXiv Preprint.

• XUE Rui. "VISAGNN: Versatile Staleness-Aware Efficient Training on Large-Scale Graphs." arXiv Preprint.

Industry Experiences (Details)

• End-to-End Joint Training of Graph Neural Networks and Recommendation Systems

Machine Learning Scientist Intern                 TikTok Inc. 

Research Experiences (Details)

• Multimodal Learning on Graphs

• Self Supervised Learning on Graphs

• Large-Scale Machine Learning on Graphs

• Large Language Models Fine-Tuning on Graphs

• Graph Neural Networks for Large Scale Recommendations
  
  

Teaching

• Teaching Assistant, Neural Networks. 2025 Spring

• Teaching Assistant, Computer Networks. 2024 Fall

• Teaching Assistant, Communications Engineering. 2022 Fall, 2023 Fall

• Teaching Assistant, Analytical Foundations of Electrical and Computer Engineering. 2023 Spring, 2023 Fall, 2024 Spring

Skills

• Python, PyTorch, TensorFlow, MATLAB, C/C++, Julia, VB, Multisim, Pspice, Simulink and Unity 3D.