Jun Yan

Orcid: 0009-0001-7706-7268

Affiliations:
  • Tongji University, College of Electronics and Information Engineering, Shanghai, China


According to our database1, Jun Yan authored at least 17 papers between 2021 and 2026.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2026
A comprehensive survey on multi-sensor information processing and fusion for BEV perception in autonomous vehicles.
Inf. Fusion, 2026

2025
Adversarial Examples in Environment Perception for Automated Driving (Review).
CoRR, April, 2025

WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer.
CoRR, April, 2025

Exploring Causal Information Bottleneck for Adversarial Defense.
IEEE Trans. Inf. Forensics Secur., 2025

Spectral Scaling-Based Augmentation for Corruption-Robust Image Classification.
IEEE Signal Process. Lett., 2025

MV-BMR: A real-time Motion and Vision Sensing Integration based Agile Badminton Robot.
Inf. Fusion, 2025

2024
An uncertainty-aware domain adaptive semantic segmentation framework.
Auton. Intell. Syst., December, 2024

Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving.
CoRR, 2024

SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AGV Path Planning Using Curiosity-Driven Deep Reinforcement Learning.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network.
CoRR, 2022

Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic.
Auton. Intell. Syst., 2022

On Adversarial Robustness of Semantic Segmentation Models for Automated Driving.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021
A Multimodality Fusion Deep Neural Network and Safety Test Strategy for Intelligent Vehicles.
IEEE Trans. Intell. Veh., 2021

On Procedural Adversarial Noise Attack And Defense.
CoRR, 2021

Patch-Based attack on traffic sign recognition.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021


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