Junbo Chen

Orcid: 0000-0001-6857-1481

According to our database1, Junbo Chen authored at least 26 papers between 2007 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue.
CoRR, 2024

2023
Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., September, 2023

PeP: a Point enhanced Painting method for unified point cloud tasks.
CoRR, 2023

HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasks.
CoRR, 2023

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.
CoRR, 2023

OG: Equip vision occupancy with instance segmentation and visual grounding.
CoRR, 2023

Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow.
CoRR, 2023

CCIL: Context-conditioned imitation learning for urban driving.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

FLYOVER: A Model-Driven Method to Generate Diverse Highway Interchanges for Autonomous Vehicle Testing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Automatic Map Generation for Autonomous Driving System Testing.
CoRR, 2022

READ: Large-Scale Neural Scene Rendering for Autonomous Driving.
CoRR, 2022

Cola-HRL: Continuous-Lattice Hierarchical Reinforcement Learning for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Domain Generalization for Vision-based Driving Trajectory Generation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

LTP: Lane-based Trajectory Prediction for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
KB-Tree: Learnable and Continuous Monte-Carlo Tree Search for Autonomous Driving Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
One-dimensional localized modes of spin-orbit-coupled Bose-Einstein condensates with spatially periodic modulated atom-atom interactions: Nonlinear lattices.
Commun. Nonlinear Sci. Numer. Simul., 2020

iWaste: Video-Based Medical Waste Detection and Classification.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018
Camera-Based Peripheral Edema Measurement Using Machine Learning.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Camera-Based Peripheral Edema Measurement Using Machine Learning.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2009
Mining Noise-Tolerant Frequent Closed Itemsets in Very Large Database.
IEICE Trans. Inf. Syst., 2009

2008
Finding Frequent Closed Itemsets in Sliding Window in Linear Time.
IEICE Trans. Inf. Syst., 2008

TGC-Tree: An Online Algorithm Tracing Closed Itemset and Transaction Set Simultaneously.
Proceedings of the Large-Scale Knowledge Resources. Construction and Application, 2008

An Experience-Based Approach for Test Execution Effort Estimation.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

Finding Cloesed Frequent Itemsets in Linear Time.
Proceedings of The 2008 International Conference on Data Mining, 2008

2007
GC-Tree: A Fast Online Algorithm for Mining Frequent Closed Itemsets.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007


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