Zijian Li

According to our database, Zijian Li authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments.

Xinran Li, Chenjia Bai, Zijian Li, Jiakun Zheng, Ting Xiao, Jun Zhang

CoRR, June, 2025

Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data.

Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

CoRR, March, 2025

Achieving Linear Speedup in Asynchronous Federated Learning With Heterogeneous Clients.

Xiaolu Wang, Zijian Li, Shi Jin, Jun Zhang

IEEE Trans. Mob. Comput., January, 2025

Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models.

Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features.

Zijian Li, Zehong Lin, Jiawei Shao, Yuyi Mao, Jun Zhang

IEEE Trans. Mob. Comput., November, 2024

Feature Matching Data Synthesis for Non-IID Federated Learning.

Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

IEEE Trans. Mob. Comput., October, 2024

WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence.

Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang

J. Commun. Inf. Networks, 2024

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks.

Jingwen Tong, Jiawei Shao, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang

CoRR, 2024

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs.

Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang

CoRR, 2024

2023

FedPos: A Federated Transfer Learning Framework for CSI-Based Wi-Fi Indoor Positioning.

Jingtao Guo, Ivan Wang Hei Ho, Yun Hou, Zijian Li

IEEE Syst. J., September, 2023

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency.

Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang

CoRR, 2023

2022

Federated Learning with GAN-Based Data Synthesis for Non-IID Clients.

Zijian Li, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022