Jiawei Sun

According to our database, Jiawei Sun authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention.

Junchi Yan, Fangyu Ding, Jiawei Sun, Zhaoping Hu, Yunyi Zhou, Lei Zhu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

2025

V2PCP: Toward Online Booking Mechanism for Private Charging Piles.

Xinyu Lu, Jiawei Sun, Jiong Lou, Yusheng Ji, Chentao Wu, Wei Zhao, Guangtao Xue, Yuan Luo, Fan Cheng, Jie Li

IEEE Trans. Intell. Transp. Syst., February, 2025

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

Jiawei Sun, Ruoxin Chen, Jie Li, Yue Ding, Chentao Wu, Zhi Liu, Junchi Yan

Neural Networks, 2025

GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy.

Kailai Li, Jiong Lou, Jiawei Sun, Honghong Zeng, Wen Li, Chentao Wu, Yuan Luo, Wei Zhao, Shouguo Du, Jie Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels.

Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Generative Diffusion Model-based Energy Management in Networked Energy Systems.

Xinyu Lu, Zhanbo Feng, Jiawei Sun, Jiong Lou, Chentao Wu, Wugedele Bao, Jie Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

LocalGCL: Local-aware Contrastive Learning for Graphs.

Haojun Jiang, Jiawei Sun, Jie Li, Chentao Wu

CoRR, 2024

Graph Out-of-Distribution Detection Goes Neighborhood Shaping.

Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan

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.

Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Inductive Dummy-based Homogeneous Neighborhood Augmentation for Graph Collaborative Filtering.

Wei Ding, Jiawei Sun, Jie Li, Chentao Wu

Proceedings of the International Joint Conference on Neural Networks, 2023

Towards Practical Edge Inference Attacks Against Graph Neural Networks.

Kailai Li, Jiawei Sun, Ruoxin Chen, Wei Ding, Kexue Yu, Jie Li, Chentao Wu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

GraphCoCo: Graph Complementary Contrastive Learning.

Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li

CoRR, 2022

Zero-Shot Scene Graph Generation with Knowledge Graph Completion.

Xiang Yu, Ruoxin Chen, Jie Li, Jiawei Sun, Shijing Yuan, Huxiao Ji, Xinyu Lu, Chentao Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Ada-STNet: A Dynamic AdaBoost Spatio-Temporal Network for Traffic Flow Prediction.

Jiawei Sun, Jie Li, Chentao Wu, Zili Tang, Celimuge Wu

Proceedings of the IEEE International Conference on Acoustics, 2022