Cheng, Jiashun

7 publications

ICLR 2026 Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models Shilei Cao, Hehai Lin, Jiashun Cheng, Yang Liu, Guowen Li, Xuehe Wang, Juepeng Zheng, Haoyuan Liang, Meng Jin, Chengwei Qin, Hong Cheng, Haohuan Fu

ICLR 2026 Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection Yunhui Liu, Jiashun Cheng, Yiqing Lin, Qizhuo Xie, Jia Li, Fugee Tsung, Hongzhi Yin, Tao Zheng, Jianhua Zhao, Tieke He

ICLR 2025 CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-Inspired Transformer Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li

ICLR 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

NeurIPS 2023 Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung

AAAI 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

AAAI 2023 Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng, Man Li, Jia Li, Fugee Tsung