Jiashun Cheng

According to our database, Jiashun Cheng authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Graph Pre-Training Models Are Strong Anomaly Detectors.

Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung

CoRR, 2024

SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases.

Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation.

Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong

CoRR, 2023

Deep Insights into Noisy Pseudo Labeling on Graph Data.

Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.

Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning.

Jiashun Cheng, Man Li, Jia Li, Fugee Tsung

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Latent Augmentation For Better Graph Self-Supervised Learning.

Jiashun Cheng, Man Li, Jia Li, Fugee Tsung

CoRR, 2022