Jiashun Cheng

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Missing Information

Top Venues

Publications

Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR (2024)
Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
Deep Insights into Noisy Pseudo Labeling on Graph Data. CoRR (2023)
Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
Deep Insights into Noisy Pseudo Labeling on Graph Data. NeurIPS (2023)
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR (2023)
Jiashun Cheng, Man Li, Jia Li, Fugee Tsung
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning. AAAI (2023)
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI (2023)
Jiashun Cheng, Man Li, Jia Li, Fugee Tsung
Latent Augmentation For Better Graph Self-Supervised Learning. CoRR (2022)
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR (2022)