Huaxia Xia

Orcid: 0009-0006-9192-3514

According to our database1, Huaxia Xia authored at least 28 papers between 2004 and 2024.

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Bibliography

2024
An OCBA-Based Method for Efficient Sample Collection in Reinforcement Learning.
IEEE Trans Autom. Sci. Eng., July, 2024

Scaling Up Memory Disaggregated Applications with SMART.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Static-dynamic global graph representation for pedestrian trajectory prediction.
Knowl. Based Syst., October, 2023

2022
Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes.
ACM Trans. Intell. Syst. Technol., 2022

Vehicle Motion Planning With Joint Cartesian-Frenét MPC.
IEEE Robotics Autom. Lett., 2022

Target-Driven Structured Transformer Planner for Vision-Language Navigation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network.
IEEE Robotics Autom. Lett., 2021

AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction.
Neurocomputing, 2021

Twins: Revisiting Spatial Attention Design in Vision Transformers.
CoRR, 2021

Do We Really Need Explicit Position Encodings for Vision Transformers?
CoRR, 2021

Twins: Revisiting the Design of Spatial Attention in Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Star Topology based Interaction for Robust Trajectory Forecasting in Dynamic Scene.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Robust Trajectory Prediction of Multiple Interacting Pedestrians via Incremental Active Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Visionnet: A Coarse-To-Fine Motion Prediction Algorithm Based On Active Interaction-Aware Drivable Space Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

End-to-End Video Instance Segmentation With Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning-Based Safety-Critical Motion Planning with Input-to-State Barrier Certificate.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene.
CoRR, 2020

VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving.
CoRR, 2020

An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Prediction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Is last-mile delivery a 'killer app' for self-driving vehicles?
Commun. ACM, 2018

End-to-End Learning Driver Policy using Moments Deep Neural Network.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2007
RobuSTore: a distributed storage architecture with robust and high performance.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

2006
RobuSTore : a distributed storage architecture with robust and high performance.
PhD thesis, 2006

2005
New Grid Scheduling and Rescheduling Methods in the GrADS Project.
Int. J. Parallel Program., 2005

2004
Validating and Scaling the MicroGrid: A Scientific Instrument for Grid Dynamics.
J. Grid Comput., 2004

The MicroGrid: Using Online Simulation to Predict Application Performance in Diverse Grid Network Environments.
Proceedings of the 2nd International Workshop on Challenges of Large Applications in Distributed Environments, 2004


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