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Jun Yan 0013
Person information
- affiliation: Tongji University, College of Electronics and Information Engineering, Shanghai, China
Other persons with the same name
- Jun Yan — disambiguation page
- Jun Yan 0001 — Microsoft Research Asia, Beijing, China (and 1 more)
- Jun Yan 0002
— University of Connecticut, Department of Statistics, Storrs, CT, USA (and 1 more) - Jun Yan 0003
— Wuhan University, School of Geodesy and Geomatics, Hubei, China - Jun Yan 0004
— Chinese Academy of Sciences, CAS-MPG Partner Institute for Computational Biology, Shanghai, China - Jun Yan 0005
— University of Wollongong, School of Information Technology and Computer Science, NSW, Australia (and 1 more) - Jun Yan 0006
— Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China (and 3 more) - Jun Yan 0007
— Concordia University, Concordia Institute for Information Systems Engineering, Montreal, QC, Canada (and 1 more) - Jun Yan 0008 — Mathworks Inc., Natick, MA, USA (and 1 more)
- Jun Yan 0009
— Chinese Academy of Sciences, Institute of Software, Technology Center of Software Engineering, Beijing, China - Jun Yan 0010
— Yidu Cloud Technology Co. Ltd., Beijing, China - Jun Yan 0011 — China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan
- Jun Yan 0012 — University of Southern California, CA, USA (and 1 more)
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2020 – today
- 2026
[j7]Peng Ping
, Xiaxin Zhang, Lu Tao
, Quan Shi
, Yafu Tian, Jun Yan
, Weiping Ding
:
A comprehensive survey on multi-sensor information processing and fusion for BEV perception in autonomous vehicles. Inf. Fusion 126: 103653 (2026)- 2025
[j6]Zhiwei Shi, Xingyu Zhang, Chengxi Zhu
, Haochen Wang
, Jun Yan
, Fan Yang, Dong Xuan:
MV-BMR: A real-time Motion and Vision Sensing Integration based Agile Badminton Robot. Inf. Fusion 123: 103337 (2025)
[j5]Zhuang Zhang
, Lijun Zhang, Dejian Meng
, Wei Tian
, Jun Yan
:
Spectral Scaling-Based Augmentation for Corruption-Robust Image Classification. IEEE Signal Process. Lett. 32: 1206-1210 (2025)
[j4]Jun Yan
, Huan Hua, Weiquan Huang, Xi Fang, Wancheng Ge
, Jiancheng Yang
, Yongwei Wang:
Exploring Causal Information Bottleneck for Adversarial Defense. IEEE Trans. Inf. Forensics Secur. 20: 9979-9992 (2025)
[i7]Huilin Yin, Pengyu Wang, Senmao Li, Jun Yan, Daniel Watzenig:
WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer. CoRR abs/2504.07441 (2025)
[i6]Jun Yan, Huilin Yin:
Adversarial Examples in Environment Perception for Automated Driving (Review). CoRR abs/2504.08414 (2025)- 2024
[j3]Huilin Yin, Pengyu Wang, Boyu Liu, Jun Yan:
An uncertainty-aware domain adaptive semantic segmentation framework. Auton. Intell. Syst. 4(1): 15 (2024)
[c5]Xi Fang, Weigang Wang, Xiaoxin Lv, Jun Yan:
PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition. CVPR Workshops 2024: 6167-6176
[c4]Huilin Yin, Jiaxiang Li, Pengju Zhen, Jun Yan:
SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction. IV 2024: 1772-1778
[i5]Huilin Yin, Jiaxiang Li, Pengju Zhen, Jun Yan:
SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction. CoRR abs/2404.12612 (2024)
[i4]Jun Yan, Pengyu Wang, Danni Wang, Weiquan Huang, Daniel Watzenig, Huilin Yin:
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving. CoRR abs/2408.09839 (2024)- 2023
[c3]Huilin Yin, Yinjia Lin, Jun Yan, Qian Meng, Karin Festl, Lukas Schichler
, Daniel Watzenig:
AGV Path Planning Using Curiosity-Driven Deep Reinforcement Learning. CASE 2023: 1-6- 2022
[j2]Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li, Huilin Yin, Wancheng Ge:
Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic. Auton. Intell. Syst. 2(1) (2022)
[c2]Huilin Yin, Ruining Wang, Boyu Liu, Jun Yan:
On Adversarial Robustness of Semantic Segmentation Models for Automated Driving. IV 2022: 867-873
[i3]Huan Hua, Jun Yan, Xi Fang, Weiquan Huang, Huilin Yin, Wancheng Ge:
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network. CoRR abs/2210.14229 (2022)- 2021
[j1]Jian Nie, Jun Yan, Huilin Yin
, Lei Ren
, Qian Meng:
A Multimodality Fusion Deep Neural Network and Safety Test Strategy for Intelligent Vehicles. IEEE Trans. Intell. Veh. 6(2): 310-322 (2021)
[c1]Bin Ye, Huilin Yin, Jun Yan, Wancheng Ge:
Patch-Based attack on traffic sign recognition. ITSC 2021: 164-171
[i2]Jun Yan, Xiaoyang Deng, Huilin Yin, Wancheng Ge:
On Procedural Adversarial Noise Attack And Defense. CoRR abs/2108.04409 (2021)
[i1]Wei Zhou, Dong Chen, Jun Yan, Zhaojian Li, Huilin Yin, Wancheng Ge:
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic. CoRR abs/2111.06318 (2021)
Coauthor Index

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last updated on 2025-11-06 01:28 CET by the dblp team
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