Scholar
Chenxi LIU
Google Scholar ID: QKdXEeIAAAAJ
Nanyang Technological University
Citations & Impact
Citations
549
H-index
11
i10-index
15
Publications
20
Co-authors
14
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Publications:
- - [AAAI 2025] TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
- - [CSUR 2025] Vehicle Trajectory Processing, Analytics, and Applications: A Survey
- - [TKDE 2025] ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction
- - [IJCAI 2025] Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
- - [ICDE 2025] Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
- - [T-ITS 2025] MVCAR: Multi-View Collaborative Graph Network for Private Car Carbon Emission Prediction
- - [TDSC 2025] Sound Eavesdropping on Mobile Device via Audio-Induced EMR
- - Organized Events:
- - SSTD 2025 Tutorial: LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions
- - CIKM 2025 International Workshop: Spatio-Temporal Data Intelligence and Foundation Models
- - Awards: IJCAI-25 Travel Grant
Research Experience
- - Postdoctoral Research Fellow at KAUST, Supervisor: Prof. Panos Kalnis
- - Research Fellow at NTU, Supervisor: Prof. Cheng Long, and collaborator: Prof. Ziyue Li from TUM
- - PhD Student at Hunan University, Supervisors: Prof. Dong Wang and Prof. Zhu Xiao
- - Researcher at Zhejiang Lab, Supervisor: Prof. Hongyang Chen
Education
- - PhD: Hunan University, Supervisors: Prof. Dong Wang and Prof. Zhu Xiao
- - Research Experience: Research Fellow at Nanyang Technological University (NTU), supervised by Prof. Cheng Long, and closely collaborated with Prof. Ziyue Li from Technical University of Munich; gained valuable research experience at Zhejiang Lab, supervised by Prof. Hongyang Chen.
Background
- - Research Interests: Time Series Analytics, Trajectory Computing, Multimodal Learning, Efficient Large Language Model Inference
- - Professional Field: Computer, Electrical and Mathematical Sciences and Engineering
- - Brief Introduction: Currently a Postdoctoral Research Fellow at King Abdullah University of Science and Technology (KAUST), and will join the CAIR, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, as an Assistant Professor.
Miscellany
- - Recruiting Research Assistants, PhD students (joint with TUM), and Postdoctoral Research Fellows
- - Contact: Email or WeChat
