Supervised Visual Docking Network for Unmanned Surface Vehicles Using Auto-labeling in Real-world Water Environments.
CoRR, March, 2025
Maintaining Plasticity in Reinforcement Learning: A Cost-Aware Framework for Aerial Robot Control in Non-stationary Environments.
CoRR, March, 2025
Tendon-driven Grasper Design for Aerial Robot Perching on Tree Branches.
CoRR, March, 2025
Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries - Extended.
CoRR, January, 2025
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD.
Proc. VLDB Endow., July, 2024
Fast-UMI: A Scalable and Hardware-Independent Universal Manipulation Interface.
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CoRR, 2024
AlignBot: Aligning VLM-powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots.
CoRR, 2024
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version.
CoRR, 2024
CascadeServe: Unlocking Model Cascades for Inference Serving.
CoRR, 2024
Stage: Query Execution Time Prediction in Amazon Redshift.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
Immersive Embodied Telemanipulation System with a Velocity Controller.
Proceedings of the 29th International Conference on Automation and Computing, 2024
Self-supervised Dock Pose Estimator for Unmanned Surface Vehicles Autonomous Docking.
Proceedings of the 10th International Conference on Mechatronics and Robotics Engineering, 2024
Lero: A Learning-to-Rank Query Optimizer.
Proc. VLDB Endow., 2023
Robust Query Driven Cardinality Estimation under Changing Workloads.
Proc. VLDB Endow., 2023
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes.
Proc. VLDB Endow., 2023
Extract-Transform-Load for Video Streams.
Proc. VLDB Endow., 2023
FactorJoin: A New Cardinality Estimation Framework for Join Queries.
Proc. ACM Manag. Data, 2023
Connect Your UAV to the Cloud Using Urban 4G and 5G Cellular Networks: Performance Evaluation and Comparison.
IEEE Internet Things Mag., 2022
Learned Query Optimizer: At the Forefront of AI-Driven Databases.
Proceedings of the 25th International Conference on Extending Database Technology, 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
A Unified Transferable Model for ML-Enhanced DBMS.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation.
Proc. VLDB Endow., 2021
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation.
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Proc. VLDB Endow., 2021
Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons.
PLoS Comput. Biol., 2021
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications.
Proceedings of the 37th IEEE International Conference on Data Engineering, 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
BayesCard: A Unified Bayesian Framework for Cardinality Estimation.
CoRR, 2020
FSPN: A New Class of Probabilistic Graphical Model.
CoRR, 2020