2 citations · 3 across the 5 of their papers we have counts for
6 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…
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…
Quantum Computing for Databases: Overview and Challenges
Gongsheng Yuan, Yuxing Chen, Jiaheng Lu +4
In the decades, the general field of quantum computing has experienced remarkable progress since its inception. A plethora of researchers not only proposed quantum algorithms showi…
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…
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin, Lidan Shou, Ke Chen +2
Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal feder…