Wenjie Yang

Orcid: 0000-0001-5420-2722

Affiliations:
  • Fudan University, School of Data Science, Shanghai, China


According to our database1, Wenjie Yang authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Cross-level graph contrastive learning for community value prediction.
Neural Networks, 2026

Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Poivre: Self-Refining Visual Pointing with Reinforcement Learning.
CoRR, September, 2025

Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning.
CoRR, June, 2025

Understanding Class Bias Amplification in Graph Representation Learning.
Trans. Mach. Learn. Res., 2025

Graph Batch Coarsening framework for scalable graph neural networks.
Neural Networks, 2025

Contra2: A one-step active learning method for imbalanced graphs.
Artif. Intell., 2025

Your Graph Recommenders are Provably Doing Graph Contrastive Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Retrieval-Augmented Language Models are Mimetic Theorem Provers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning.
CoRR, 2024

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Performance of Coarsened Graphs with Gradient-Matching.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Understanding Community Bias Amplification in Graph Representation Learning.
CoRR, 2023


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