Publications
Optimizing Block Skipping for High-Dimensional Data with Learned Adaptive Curve.
Xu Chen, Shuncheng Liu, Tong Yuan, Tao Ye, Kai Zeng, Han Su, Kai Zheng.
In SIGMOD, 2025.
LEON: A New Framework for ML-Aided Query Optimization.
Xu Chen, Haitian Chen, Zibo Liang, Shuncheng Liu, Jinghong Wang, Kai Zeng, Han Su, Kai Zheng.
In VLDB, 2023.
BASE: Bridging the Gap between Cost and Latency for Query Optimization.
Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng.
In VLDB, 2023.
Ealier Work
Efficient Learning with Pseudo Labels for Query Cost Estimation.
Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou, Kai Zheng
In CIKM 2022
HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic.
Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng
In CIKM 2022
RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning.
Yuyang Xia, Shuncheng Liu, Xu Chen, Zhi Xu, Kai Zheng, Han Su
In CIKM 2022
Astral: An Autoencoder-Based Model for Pedestrian Trajectory Prediction of Variable-Length.
Yupeng Diao, Yiteng Su, Ximu Zeng, Xu Chen, Shuncheng Liu, Han Su
In DASFAA (Workshops) 2022
TSummary: A Traffic Summarization System Using Semantic Words.
Xu Chen, Ximu Zeng, Shuncheng Liu, Zhi Xu, Yuyang Xia, Ruyi Lai, Han Su
In DASFAA (Workshops) 2022
Efficient Join Order Selection Learning with Graph-based Representation.
Jin Chen, Guanyu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng
In KDD 2022
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning.
Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su
In CIKM 2021
SCSG Attention: A Self-centered Star Graph with Attention for Pedestrian Trajectory Prediction.
Xu Chen, Shuncheng Liu, Zhi Xu, Yupeng Diao, Shaozhi Wu, Kai Zheng, Han Su
In DASFAA 2021