Shilong Wang

According to our database, Shilong Wang authored at least 17 papers between 2023 and 2025.

Collaborative distances:

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

2025

Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning.

Yujia Huo, Jianchun Liu, Hongli Xu, Zhenguo Ma, Shilong Wang, Liusheng Huang

CoRR, June, 2025

Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout.

Shilong Wang, Jianchun Liu, Hongli Xu, Jiaming Yan, Xianjun Gao

CoRR, March, 2025

A Survey on Trustworthy LLM Agents: Threats and Countermeasures.

Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen

CoRR, March, 2025

Adaptive Local Update and Neural Composition for Accelerating Federated Learning in Heterogeneous Edge Networks.

Jianchun Liu, Jiaming Yan, Ji Qi, Hongli Xu, Shilong Wang, Chunming Qiao, Liusheng Huang

IEEE Trans. Netw., 2025

NetSafe: Exploring the Topological Safety of Multi-agent System.

Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Kun Wang, Qingsong Wen, Yang Wang

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

G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems.

Shilong Wang, Guibin Zhang, Miao Yu, Guancheng Wan, Fanci Meng, Chongye Guo, Kun Wang, Yang Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks.

Jianchun Liu, Shilong Wang, Hongli Xu, Yang Xu, Yunming Liao, Jinyang Huang, He Huang

IEEE/ACM Trans. Netw., August, 2024

A Robust Federated Learning Framework for Undependable Devices at Scale.

Shilong Wang, Jianchun Liu, Hongli Xu, Chunming Qiao, Huarong Deng, Qiuye Zheng, Jiantao Gong

CoRR, 2024

NetSafe: Exploring the Topological Safety of Multi-agent Networks.

Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang

CoRR, 2024

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN.

Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang

CoRR, 2024

CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks.

Yifan Duan, Guibin Zhang, Shilong Wang, Xiaojiang Peng, Ziqi Wang, Junyuan Mao, Hao Wu, Xinke Jiang, Kun Wang

CoRR, 2024

Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model.

Yifan Duan, Jian Zhao, pengcheng, Junyuan Mao, Hao Wu, Jingyu Xu, Shilong Wang, Caoyuan Ma, Kai Wang, Kun Wang, Xuelong Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field.

Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks.

Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou

Proceedings of the IEEE INFOCOM 2024, 2024

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.

Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.

Hao Wu, Shilong Wang, Yuxuan Liang, Zhengyang Zhou, Wei Huang, Wei Xiong, Kun Wang

CoRR, 2023

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field.

Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang

CoRR, 2023