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ORCIDQingxiang Liu 0004
Person information
- affiliation: Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Qingxiang Liu — disambiguation page
- Qingxiang Liu 0001
![[0000-0001-6100-0221]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6100-0221")
— Ocean University of China, Qingdao, China - Qingxiang Liu 0002 — Southwest Jiaotong University, Chengdu, China
- Qingxiang Liu 0003 — Nanyang Technological University, Singapore
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2020 – today
- 2025
[j8]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng:
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 26(2): 2777-2792 (2025)- [c4]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue:
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. AAAI 2025: 12192-12200 - [i7]Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang:
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting. CoRR abs/2508.01727 (2025) - [i6]Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang:
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. CoRR abs/2510.07858 (2025) - 2024
- [j7]Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Junbo Zhang, Zeju Li, Qingxiang Liu:
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. ACM Trans. Intell. Syst. Technol. 15(2): 28:1-28:34 (2024) - [j6]Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, Bo Gao:
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 25(10): 13027-13039 (2024) - [c3]Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang:
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. NeurIPS 2024 - [i5]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Jingjing Xue, Min Liu:
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. CoRR abs/2404.03702 (2024) - [i4]Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang:
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR abs/2405.14252 (2024) - [i3]Qingxiang Liu, Sheng Sun, Yuxuan Liang, Xiaolong Xu, Min Liu, Muhammad Bilal, Yuwei Wang, Xujing Li, Yu Zheng:
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting. CoRR abs/2411.14046 (2024) - 2023
- [i2]Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, Bo Gao:
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting. CoRR abs/2302.08658 (2023) - 2022
- [i1]Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Qingxiang Liu:
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation. CoRR abs/2204.07028 (2022) - 2021
- [j5]Xiaolong Xu, Yi Chen, Xuyun Zhang, Qingxiang Liu, Xihua Liu, Lianyong Qi:
A blockchain-based computation offloading method for edge computing in 5G networks. Softw. Pract. Exp. 51(10): 2015-2032 (2021) - 2020
- [j4]Hui Jiang, Min Liu, Bo Yang, Qingxiang Liu, Jizhong Li, Xiaobing Guo:
Customized Federated Learning for accelerated edge computing with heterogeneous task targets. Comput. Networks 183: 107569 (2020)
2010 – 2019
- 2019
- [j3]Xiaolong Xu, Qingxiang Liu, Yun Luo, Kai Peng, Xuyun Zhang, Shunmei Meng, Lianyong Qi:
A computation offloading method over big data for IoT-enabled cloud-edge computing. Future Gener. Comput. Syst. 95: 522-533 (2019) - [j2]Xiaolong Xu, Qingxiang Liu, Xuyun Zhang, Jie Zhang, Lianyong Qi, Wanchun Dou:
A Blockchain-Powered Crowdsourcing Method With Privacy Preservation in Mobile Environment. IEEE Trans. Comput. Soc. Syst. 6(6): 1407-1419 (2019) - [c2]Hao Cao, Xiaolong Xu, Qingxiang Liu, Yuan Xue, Lianyong Qi:
Uncertainty-Aware Resource Provisioning for Workflow Scheduling in Edge Computing Environment. TrustCom/BigDataSE 2019: 734-739 - 2018
- [j1]Xiaolong Xu, Shucun Fu, Lianyong Qi, Xuyun Zhang, Qingxiang Liu, Qiang He, Shancang Li:
An IoT-Oriented data placement method with privacy preservation in cloud environment. J. Netw. Comput. Appl. 124: 148-157 (2018) - [c1]Xiaolong Xu, Qingxiang Liu, Lianyong Qi, Yuan Yuan, Wanchun Dou, Alex X. Liu:
A Heuristic Virtual Machine Scheduling Method for Load Balancing in Fog-Cloud Computing. BigDataSecurity/HPSC/IDS 2018: 83-88
Coauthor Index
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