5 papers
LYNX: Analytical Program Synthesis via Grounding and Closed-Loop Refinement
Ruichen Xia, Xiao Han, Dingyu Yang +5
LLM-powered data analytics aims to translate natural language instructions into executable analytical programs over underlying data. However, existing approaches, whether treating…
MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference
Wu Sai, Xia Ruichen, Yang Dingyu +9
The increasing demand for deep neural inference within database environments has driven the emergence of AI-native DBMSs. However, existing solutions either rely on model-centric d…
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
Ziyang Xiao, Jingrong Xie, Lilin Xu +15
By virtue of its great utility in solving real-world problems, optimization modeling has been widely employed for optimal decision-making across various sectors, but it requires su…
Mining Platoon Patterns from Traffic Videos
Yijun Bei, Teng Ma, Dongxiang Zhang +3
Discovering co-movement patterns from urban-scale video data sources has emerged as an attractive topic. This task aims to identify groups of objects that travel together along a c…
Revisiting CNNs for Trajectory Similarity Learning
Zhihao Chang, Linzhu Yu, Huan Li +3
Similarity search is a fundamental but expensive operator in querying trajectory data, due to its quadratic complexity of distance computation. To mitigate the computational burden…