Chenxi Liu
Orcid: 0000-0002-5447-4768Affiliations:
- Nanyang Technological University, Singapore
- Hunan University, College of Computer and Engineering, Changsha, China (former)
According to our database1,
Chenxi Liu authored at least 28 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs.
CoRR, March, 2026
IEEE Trans. Knowl. Data Eng., February, 2026
CHESS: Context-aware Hierarchical Efficient Semantic Selection for Long-Context LLM Inference.
CoRR, February, 2026
IEEE Trans. Dependable Secur. Comput., 2026
EV-STLLM: Electric vehicle charging forecasting based on spatio-temporal large language models with multi-frequency and multi-scale information fusion.
Expert Syst. Appl., 2026
Proceedings of the ACM Web Conference 2026, 2026
VisionST: Coordinating Cross-modal Traffic Prediction with Interactive Geo-image Encoding.
Proceedings of the ACM Web Conference 2026, 2026
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising.
CoRR, October, 2025
ACM Comput. Surv., September, 2025
ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction.
IEEE Trans. Knowl. Data Eng., August, 2025
STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning.
CoRR, August, 2025
CoRR, July, 2025
MVCAR: Multi-View Collaborative Graph Network for Private Car Carbon Emission Prediction.
IEEE Trans. Intell. Transp. Syst., January, 2025
Proceedings of the 19th International Symposium on Spatial and Temporal Data, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Modeling dynamic spatiotemporal user preference for location prediction: a mutually enhanced method.
World Wide Web (WWW), March, 2024
CoRR, 2024
Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the Database and Expert Systems Applications, 2024
2022
Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks.
World Wide Web, 2022
Exploiting Spatiotemporal Correlations of Arrive-Stay-Leave Behaviors for Private Car Flow Prediction.
IEEE Trans. Netw. Sci. Eng., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Inf. Sci., 2022
2020
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