Chenxi Liu

According to our database, Chenxi Liu authored at least 18 papers between 2020 and 2025.

Collaborative distances:

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

2025

Vehicle Trajectory Data Processing, Analytics, and Applications: A Survey.

Chenxi Liu, Zhu Xiao, Wangchen Long, Tong Li, Hongbo Jiang, Keqin Li

ACM Comput. Surv., September, 2025

ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction.

Chenxi Liu, Kethmi Hirushini Hettige, Qianxiong Xu, Cheng Long, Shili Xiang, Gao Cong, Ziyue Li, Rui Zhao

IEEE Trans. Knowl. Data Eng., August, 2025

SAMITE: Position Prompted SAM2 with Calibrated Memory for Visual Object Tracking.

Qianxiong Xu, Lanyun Zhu, Chenxi Liu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao

CoRR, July, 2025

LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions.

Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis

CoRR, July, 2025

Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.

Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao

CoRR, May, 2025

MVCAR: Multi-View Collaborative Graph Network for Private Car Carbon Emission Prediction.

Chenxi Liu, Zhu Xiao, Cheng Long, Dong Wang, Tao Li, Hongbo Jiang

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

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.

Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.

Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Modeling dynamic spatiotemporal user preference for location prediction: a mutually enhanced method.

Jiawei Cai, Dong Wang, Hongyang Chen, Chenxi Liu, Zhu Xiao

World Wide Web (WWW), March, 2024

TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.

Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao

CoRR, 2024

Spatial-Temporal Large Language Model for Traffic Prediction.

Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

LightTR: A Lightweight Framework for Federated Trajectory Recovery.

Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SQL-to-Schema Enhances Schema Linking in Text-to-SQL.

Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao

Proceedings of the Database and Expert Systems Applications, 2024

2022

Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks.

Chenxi Liu, Zhu Xiao, Dong Wang, Minhao Cheng, Hongyang Chen, Jiawei Cai

World Wide Web, 2022

Exploiting Spatiotemporal Correlations of Arrive-Stay-Leave Behaviors for Private Car Flow Prediction.

Chenxi Liu, Zhu Xiao, Dong Wang, Lei Wang, Hongbo Jiang, Hongyang Chen, Jiangxia Yu

IEEE Trans. Netw. Sci. Eng., 2022

Vehicle Trajectory Interpolation Based on Ensemble Transfer Regression.

Jianhua Xiao, Zhu Xiao, Dong Wang, Vincent Havyarimana, Chenxi Liu, Chengming Zou, Di Wu

IEEE Trans. Intell. Transp. Syst., 2022

Adaptive Dual-View WaveNet for urban spatial-temporal event prediction.

Guangyin Jin, Chenxi Liu, Zhexu Xi, Hengyu Sha, Yanyun Liu, Jincai Huang

Inf. Sci., 2022

2020

Towards Semantic Travel Behavior Prediction for Private Car Users.

Huiling Chen, Dong Wang, Chenxi Liu

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020