Jiashun Cheng

According to our database, Jiashun Cheng authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

AGCD: Agent-Guided Cross-Modal Decoding for Weather Forecasting.

Jing Wu, Yang Liu, Lin Zhang, Junbo Zeng, Jiabin Wang, Zi Ye, Guowen Li, Shilei Cao, Jiashun Cheng, Fang Wang, Meng Jin, Yerong Feng, Hong Cheng, Yutong Lu, Haohuan Fu, Juepeng Zheng

CoRR, March, 2026

2025

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation.

Shilei Cao, Ziyang Gong, Hehai Lin, Yang Liu, Jiashun Cheng, Xiaoxing Hu, Haoyuan Liang, Guowen Li, Chengwei Qin, Hong Cheng, Xue Yang, Juepeng Zheng, Haohuan Fu

CoRR, November, 2025

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

CoRR, September, 2025

A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection.

Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He

CoRR, April, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.

Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Parameter-Efficient Fine-Tuning via Circular Convolution.

Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung, Yu Li, Jia Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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