Shuncheng Liu

Orcid: 0000-0003-3557-6598

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China


According to our database1, Shuncheng Liu authored at least 23 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
BASE: Bridging the Gap between Cost and Latency for Query Optimization.
Proc. VLDB Endow., 2023

LEON: A New Framework for ML-Aided Query Optimization.
Proc. VLDB Endow., 2023

Parameterized Decision-making with Multi-modal Perception for Autonomous Driving.
CoRR, 2023

S2TUL: A Semi-Supervised Framework for Trajectory-User Linking.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Continual Trajectory Prediction with Uncertainty-Aware Generative Memory Replay.
Proceedings of the IEEE International Conference on Data Mining, 2023

Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

SMART: A Decision-Making Framework with Multi-modality Fusion for Autonomous Driving Based on Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2023

EGL: Efficient Graph Learning with Safety Constrains for Heterogeneous Trajectory Prediction.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Efficient Join Order Selection Learning with Graph-based Representation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Detecting Loaded Trajectories for Hazardous Chemicals Transportation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Astral: An Autoencoder-Based Model for Pedestrian Trajectory Prediction of Variable-Length.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

TSummary: A Traffic Summarization System Using Semantic Words.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Trajectory Similarity Computation with Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Learning with Pseudo Labels for Query Cost Estimation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SCSG Attention: A Self-centered Star Graph with Attention for Pedestrian Trajectory Prediction.
Proceedings of the Database Systems for Advanced Applications, 2021

PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A survey of trajectory distance measures and performance evaluation.
VLDB J., 2020

Intention-Based Destination Recommendation in Navigation Systems.
Proceedings of the Database Systems for Advanced Applications, 2020


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