Jiawei Sun

Orcid: 0009-0003-1048-5443

Affiliations:
  • Tencent
  • Shanghai Jiao Tong University, Shanghai, China (former)


According to our database1, Jiawei Sun authored at least 12 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
V2PCP: Toward Online Booking Mechanism for Private Charging Piles.
IEEE Trans. Intell. Transp. Syst., February, 2025

Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach.
Neural Networks, 2025

Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Generative Diffusion Model-based Energy Management in Networked Energy Systems.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
LocalGCL: Local-aware Contrastive Learning for Graphs.
CoRR, 2024

Graph Out-of-Distribution Detection Goes Neighborhood Shaping.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Inductive Dummy-based Homogeneous Neighborhood Augmentation for Graph Collaborative Filtering.
Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Practical Edge Inference Attacks Against Graph Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
GraphCoCo: Graph Complementary Contrastive Learning.
CoRR, 2022

Zero-Shot Scene Graph Generation with Knowledge Graph Completion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Ada-STNet: A Dynamic AdaBoost Spatio-Temporal Network for Traffic Flow Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2022


  Loading...