Chenxi Liu

34 papers A* 7B 2Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CHESS: Context-aware Hierarchical Efficient Semantic Selection for Long-Context LLM Inference.
CoRR
Chao Fei, GuoZhong Li, Chenxi Liu, Panos Kalnis
2026 A* conf
Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models.
WWW
Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong
2026 J jnl
EV-STLLM: Electric vehicle charging forecasting based on spatio-temporal large language models with multi-frequency and multi-scale information fusion.
Expert Syst. Appl.
Hang Fan, Yunze Chai, Chenxi Liu, Weican Liu, Zuhan Zhang, Wencai Run, Dunnan Liu
2026 A* conf
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation.
AAAI
Yeming Li, Chenxi Liu, Jie Zou, Cheng Long, Chaoning Zhang, Peng Wang, Yang Yang
2026 J jnl
LightTR+: A Lightweight Incremental Framework for Federated Trajectory Recovery.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Ziqiao Liu, Yan Zhao, Chenxi Liu, Chenjuan Guo, Bin Yang, Kai Zheng, Huan Li, Christian S. Jensen
2026 J jnl
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs.
CoRR
Zhi Lei, Chenxi Liu, Hao Miao, Wanghui Qiu, Bin Yang, Chenjuan Guo
2026 J jnl
Sound Eavesdropping on Mobile Device Via Audio-Induced EMR.
IEEE Trans. Dependable Secur. Comput.
Yupeng Hu, Huiling Chen, Hongrui Pan, Wenqiang Jin, Zhenyu Ye, Chenxi Liu, Kaiyi Wang
2026 A* conf
VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding.
WWW
Jinwen Chen, Hao Miao, Chenxi Liu, Yan Zhao, Kai Zheng
2025 J jnl
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising.
CoRR
Kangjia Yan, Chenxi Liu, Hao Miao, Xinle Wu, Yan Zhao, Chenjuan Guo, Bin Yang
2025 A* conf
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
ICDE
Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao
2025 J jnl
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
CoRR
Chenxi Liu, Hao Miao, Qianxiong Xu, Shaowen Zhou, Cheng Long, Yan Zhao, Ziyue Li, Rui Zhao
2025 B conf
LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions.
SSTD
Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis
2025 J jnl
LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions.
CoRR
Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis
2025 J jnl
MVCAR: Multi-View Collaborative Graph Network for Private Car Carbon Emission Prediction.
IEEE Trans. Intell. Transp. Syst.
Chenxi Liu, Zhu Xiao, Cheng Long, Dong Wang, Tao Li, Hongbo Jiang
2025 J jnl
SAMITE: Position Prompted SAM2 with Calibrated Memory for Visual Object Tracking.
CoRR
Qianxiong Xu, Lanyun Zhu, Chenxi Liu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction.
IEEE Trans. Knowl. Data Eng.
Chenxi Liu, Kethmi Hirushini Hettige, Qianxiong Xu, Cheng Long, Shili Xiang, Gao Cong, Ziyue Li, Rui Zhao
2025 J jnl
STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning.
CoRR
Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Gao Cong
2025 A* conf
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.
AAAI
Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao
2025 A* conf
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.
IJCAI
Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era.
CoRR
Chenxi Liu, Shaowen Zhou, Qianxiong Xu, Hao Miao, Cheng Long, Ziyue Li, Rui Zhao
2025 J jnl
Vehicle Trajectory Data Processing, Analytics, and Applications: A Survey.
ACM Comput. Surv.
Chenxi Liu, Zhu Xiao, Wangchen Long, Tong Li, Hongbo Jiang, Keqin Li
2024 A* conf
LightTR: A Lightweight Framework for Federated Trajectory Recovery.
ICDE
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
2024 J jnl
LightTR: A Lightweight Framework for Federated Trajectory Recovery.
CoRR
Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li
2024 J jnl
Modeling dynamic spatiotemporal user preference for location prediction: a mutually enhanced method.
World Wide Web (WWW)
Jiawei Cai, Dong Wang, Hongyang Chen, Chenxi Liu, Zhu Xiao
2024 — conf
SQL-to-Schema Enhances Schema Linking in Text-to-SQL.
DEXA (1)
Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao
2024 J jnl
SQL-to-Schema Enhances Schema Linking in Text-to-SQL.
CoRR
Sun Yang, Qiong Su, Zhishuai Li, Ziyue Li, Hangyu Mao, Chenxi Liu, Rui Zhao
2024 B conf
Spatial-Temporal Large Language Model for Traffic Prediction.
MDM
Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
Spatial-Temporal Large Language Model for Traffic Prediction.
CoRR
Chenxi Liu, Sun Yang, Qianxiong Xu, Zhishuai Li, Cheng Long, Ziyue Li, Rui Zhao
2024 J jnl
TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment.
CoRR
Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang, Cheng Long, Ziyue Li, Rui Zhao
2022 J jnl
Adaptive Dual-View WaveNet for urban spatial-temporal event prediction.
Inf. Sci.
Guangyin Jin, Chenxi Liu, Zhexu Xi, Hengyu Sha, Yanyun Liu, Jincai Huang
2022 J jnl
Exploiting Spatiotemporal Correlations of Arrive-Stay-Leave Behaviors for Private Car Flow Prediction.
IEEE Trans. Netw. Sci. Eng.
Chenxi Liu, Zhu Xiao, Dong Wang, Lei Wang, Hongbo Jiang, Hongyang Chen, Jiangxia Yu
2022 J jnl
Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks.
World Wide Web
Chenxi Liu, Zhu Xiao, Dong Wang, Minhao Cheng, Hongyang Chen, Jiawei Cai
2022 J jnl
Vehicle Trajectory Interpolation Based on Ensemble Transfer Regression.
IEEE Trans. Intell. Transp. Syst.
Jianhua Xiao, Zhu Xiao, Dong Wang, Vincent Havyarimana, Chenxi Liu, Chengming Zou, Di Wu
2020 — conf
Towards Semantic Travel Behavior Prediction for Private Car Users.
HPCC/DSS/SmartCity
Huiling Chen, Dong Wang, Chenxi Liu