Jiashun Cheng - RankMe

18 papers A* 5Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AGCD: Agent-Guided Cross-Modal Decoding for Weather Forecasting. CoRR 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
2025	J	`jnl`	A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection. CoRR Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He
2025	A*	`conf`	CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer. ICLR Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
2025	J	`jnl`	CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer. CoRR Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
2025	J	`jnl`	CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation. CoRR 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
2025	—	`conf`	Parameter-Efficient Fine-Tuning via Circular Convolution. ACL (Findings) Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung, Yu Li, Jia Li
2025	—	`conf`	Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps. ACL (Findings) Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung
2025	J	`jnl`	Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps. CoRR Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung
2025	J	`jnl`	Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models. CoRR Shilei Cao, Hehai Lin, Jiashun Cheng, Yang Liu, Guowen Li, Xuehe Wang, Juepeng Zheng, Haoyuan Liang, Meng Jin, Chengwei Qin, Hong Cheng, Haohuan Fu
2024	J	`jnl`	Graph Pre-Training Models Are Strong Anomaly Detectors. CoRR Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung
2024	A*	`conf`	SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2023	A*	`conf`	Deep Insights into Noisy Pseudo Labeling on Graph Data. NeurIPS Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
2023	J	`jnl`	Deep Insights into Noisy Pseudo Labeling on Graph Data. CoRR Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
2023	A*	`conf`	Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
2023	J	`jnl`	Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2023	A*	`conf`	Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning. AAAI Jiashun Cheng, Man Li, Jia Li, Fugee Tsung
2022	J	`jnl`	Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
2022	J	`jnl`	Latent Augmentation For Better Graph Self-Supervised Learning. CoRR Jiashun Cheng, Man Li, Jia Li, Fugee Tsung