We stand with Ukraine

We stand with Ukraine

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 28 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org
on dl.acm.org

On csauthors.net:

Bibliography

2024

Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle.

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IEEE Trans. Knowl. Data Eng., July, 2024

Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving.

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Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Learning to Hash for Trajectory Similarity Computation and Search.

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Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

MODUS: An Impact-Aware Decision Framework with Adaptive Fusion for Connected Autonomous Vehicles.

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Zhengzhuo Zhang

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Proceedings of the Database Systems for Advanced Applications, 2024

Imitation Learning Decision with Driving Style Tuning for Personalized Autonomous Driving.

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Zhengzhuo Zhang

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Proceedings of the Database Systems for Advanced Applications, 2024

2023

BASE: Bridging the Gap between Cost and Latency for Query Optimization.

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Proc. VLDB Endow., 2023

LEON: A New Framework for ML-Aided Query Optimization.

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Proc. VLDB Endow., 2023

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

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CoRR, 2023

S2TUL: A Semi-Supervised Framework for Trajectory-User Linking.

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Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Continual Trajectory Prediction with Uncertainty-Aware Generative Memory Replay.

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Proceedings of the IEEE International Conference on Data Mining, 2023

Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle.

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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.

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Proceedings of the Database Systems for Advanced Applications, 2023

EGL: Efficient Graph Learning with Safety Constrains for Heterogeneous Trajectory Prediction.

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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.

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Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving.

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Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Efficient Join Order Selection Learning with Graph-based Representation.

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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.

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Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Astral: An Autoencoder-Based Model for Pedestrian Trajectory Prediction of Variable-Length.

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Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

TSummary: A Traffic Summarization System Using Semantic Words.

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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.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Trajectory Similarity Computation with Contrastive Learning.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Learning with Pseudo Labels for Query Cost Estimation.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework.

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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.

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Proceedings of the Database Systems for Advanced Applications, 2021

PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning.

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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.

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VLDB J., 2020

Intention-Based Destination Recommendation in Navigation Systems.

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Proceedings of the Database Systems for Advanced Applications, 2020

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