Xingtai Gui

Orcid: 0000-0002-3774-8368

According to our database1, Xingtai Gui authored at least 14 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ChainFlow-VLA: Causal Flow Planning with Vision-Language Models.
CoRR, May, 2026

Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation.
CoRR, March, 2026

2025
TrajDiff: End-to-end Autonomous Driving without Perception Annotation.
CoRR, December, 2025

AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models.
CoRR, November, 2025

Autoregressive End-to-End Planning with Time-Invariant Spatial Alignment and Multi-Objective Policy Refinement.
CoRR, September, 2025

2024
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving.
CoRR, 2024

FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection.
CoRR, 2023

2022
A Quadruplet Deep Metric Learning model for imbalanced time-series fault diagnosis.
Knowl. Based Syst., 2022

Constrained Adaptive Projection with Pretrained Features for Anomaly Detection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Simple Adaptive Projection with Pretrained Features for Anomaly Detection.
CoRR, 2021

Deep Metric Learning Model for Imbalanced Fault Diagnosis.
CoRR, 2021

A Fault Detection Method based on the Deep Extended PCA - SVM in Industrial Processes.
Proceedings of the 2021 American Control Conference, 2021

2019
A Novel Deep DPCA-SVM Method for Fault Detection in Industrial Processes.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019


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