Qingxiang Liu

According to our database, Qingxiang Liu authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation.

Yuqian Wu, Wei Chen, Zhengjun Huang, Junle Chen, Qingxiang Liu, Kai Wang, Xiaofang Zhou, Yuxuan Liang

CoRR, April, 2026

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models.

Sisuo Lyu, Siru Zhong, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang

CoRR, February, 2026

Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models.

Qingxiang Liu, Zhiqing Cui, Xiaoliang Luo, Yuqian Wu, Zhuoyang Jiang, Huaiyu Wan, Sheng Sun, Lvchun Wang, Wei Yu, Yuxuan Liang

CoRR, January, 2026

Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models.

Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting.

Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting.

Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng

IEEE Trans. Intell. Transp. Syst., February, 2025

Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach.

Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting.

Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, Bo Gao

IEEE Trans. Intell. Transp. Syst., October, 2024

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu

ACM Trans. Intell. Syst. Technol., April, 2024

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting.

Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Qingxiang Liu

CoRR, 2022

2021

A blockchain-based computation offloading method for edge computing in 5G networks.

Xiaolong Xu, Yi Chen, Xuyun Zhang, Qingxiang Liu, Xihua Liu, Lianyong Qi

Softw. Pract. Exp., 2021

2020

Customized Federated Learning for accelerated edge computing with heterogeneous task targets.

Hui Jiang, Min Liu, Bo Yang, Qingxiang Liu, Jizhong Li, Xiaobing Guo

Comput. Networks, 2020

2019

A Blockchain-Powered Crowdsourcing Method With Privacy Preservation in Mobile Environment.

Xiaolong Xu, Qingxiang Liu, Xuyun Zhang, Jie Zhang, Lianyong Qi, Wanchun Dou

IEEE Trans. Comput. Soc. Syst., 2019

A computation offloading method over big data for IoT-enabled cloud-edge computing.

Xiaolong Xu, Qingxiang Liu, Yun Luo, Kai Peng, Xuyun Zhang, Shunmei Meng, Lianyong Qi

Future Gener. Comput. Syst., 2019

Uncertainty-Aware Resource Provisioning for Workflow Scheduling in Edge Computing Environment.

Hao Cao, Xiaolong Xu, Qingxiang Liu, Yuan Xue, Lianyong Qi

Proceedings of the 18th IEEE International Conference On Trust, 2019

2018

An IoT-Oriented data placement method with privacy preservation in cloud environment.

Xiaolong Xu, Shucun Fu, Lianyong Qi, Xuyun Zhang, Qingxiang Liu, Qiang He, Shancang Li

J. Netw. Comput. Appl., 2018

A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing.

Xiaolong Xu, Qingxiang Liu, Lianyong Qi, Yuan Yuan, Wanchun Dou, Alex X. Liu

Proceedings of the 4th IEEE International Conference on Big Data Security on Cloud, 2018