About Me

I am currently an Associate Professor at the College of Information Engineering, Northwest A&F University (NWAFU). My research interests include cooperative motion control, robust decision-making, and safety testing for autonomous intelligent unmanned systems, such as robots, unmanned aerial vehicles, autonomous driving systems, and embodied AI.

Previously, I was a Research Fellow in the Cyber Security Lab (CSL), Nanyang Technological University (NTU), Singapore (2024–2025), advised by Prof. Yang Liu. I received my Ph.D. degree from the Software Engineering Institute, East China Normal University (ECNU), Shanghai, China (2020–2024), supervised by Prof. Jing Liu and Prof. Yuan Zhou. Before that, I received my M.S. degree from Zhejiang Sci-Tech University (2017–2020), supervised by Prof. Zuohua Ding, and my B.S. degree from Nanjing University of Posts and Telecommunications (2013–2017).

Publications

* Corresponding author. See also Google Scholar for the full and up-to-date list.

26. TSE 2026
    Causality-aware Safety Testing for Autonomous Driving Systems

    Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

    IEEE Transactions on Software Engineering (TSE), vol. 52, no. 4 (2026): 1407-1425.
25. CVPR 2026
    Shedding Light on VLN Robustness: A Black-box Framework for Indoor Lighting-based Adversarial Attack

    Chenyang Li, Wenbing Tang*, Yihao Huang, Sinong Simon Zhan, Ming Hu, Xiaojun Jia, Yang Liu

    IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2026.
24. TSE 2026
    Detecting Non-Optimal Decisions of Embodied Agents via Diversity-Guided Metamorphic Testing

    Wenzhao Wu, Yahui Tang, Mingfei Cheng, Wenbing Tang*, Yuan Zhou, Yang Liu

    IEEE Transactions on Software Engineering (TSE), 2026.
23. FSS 2026
    Fuzzy-DDPG: Integrating Fuzzy Logic with Continuous Deep Reinforcement Learning for Mobile Robot Motion Planning

    Fenghua Wu, Wenbing Tang*, Yuan Zhou, Shang-Wei Lin, Hesuan Hu, Yang Liu, Zuohua Ding

    Fuzzy Sets and Systems (FSS), 2026.
22. SMC 2026
    Discovering Position Deception Vulnerabilities in Mobile Robot Motion Planner Via Diversity-Guided Fuzzing

    Yahui Tang, Peiteng Wang, Qingjie Wei, Wenbing Tang*

    2026 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2026.
21. IJCNN 2026
    A Frequency-Aware and Entropy-Guided Transformer for Real-Time Tiny Object Detection in Remote Sensing

    Dongdong An, Jiezhi Bao, Shuo Zhang, Wenbing Tang, Qin Zhao

    International Joint Conference on Neural Networks (IJCNN), 2026.
20. IJCNN 2026
    CDSegNet++: Enhancing Diffusion-Based Point Cloud Segmentation with Adaptive Scheduling and Consistency Fusion

    Dongdong An, MingYu Shou, Shuo Zhang, Wenbing Tang

    International Joint Conference on Neural Networks (IJCNN), 2026.
19. AAAI 2026
    SimpleDiffusion: A Lightweight and Efficient Conditional Diffusion Model for Multi-Modal Salient Object Detection

    Shuo Zhang, Jiaming Huang, Wenbing Tang, Jing Liu, Li Han, Jiandun Li, Hongchun Yuan, Zizhu Fan

    The AAAI Conference on Artificial Intelligence (AAAI), Singapore, January 20-27, 2026.
18. RA-L 2026
    Counterfactual-based Root Cause Analysis for Misconfigurations in Autonomous Driving Systems

    Letian Fang, Wenbing Tang*, and Jing Liu

    IEEE Robotics and Automation Letters (RA-L), vol. 11, no. 1 (2026): 786-793.
17. VTC-Fall 2025
    A Role-based Hierarchical Adaptive Routing Protocol for Clustered UAV Swarms

    Tianen Guan, Na Wang, Xinliang Wu, Zhongliang Zhao, Wenbing Tang, and Yang Liu

    IEEE 102nd Vehicular Technology Conference 2025 Fall (VTC-Fall), Chengdu, China, October 19-22, 2025.
16. SMC 2025
    Formal Modeling and Quantitative Evaluation for Online Monitoring Systems in Nuclear Facilities

    Letian Fang, Wenbing Tang, Xin Wang, Jing Liu, and Shengyuan Wang

    2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Vienna, Austria, October 5-8, 2025.
15. ICECCS 2025
    Empowering Embodied Agents with Semantic Intelligence

    Wenbing Tang, Meilin Zhu, Fenghua Wu, Xinfeng Li, and Yang Liu

    The IEEE International Conference on Engineering of Complex Computer Systems (ICECCS), Hangzhou, China, July 2-4, 2025.
14. SE4ADS@ICSE 2025
    Moral Testing of Autonomous Driving Systems

    Wenbing Tang, Mingfei Cheng, Yuan Zhou, and Yang Liu

    The 1st International Workshop on Software Engineering for Autonomous Driving Systems (SE4ADS) at the 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025), Ottawa, ON, Canada, April 26-May 6, 2025.
13. ICASSP 2025
    Seg-diffusion: Text-to-Image Diffusion Model for Open-Vocabulary Semantic Segmentation

    Shuo Zhang, Jiaming Huang, Yan Wu, Tao Hu, Wenbing Tang, and Jing Liu

    The IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, April 6-11, 2025.
12. ICASSP 2025
    Multi-modal Salient Object Detection via a Unified Diffusion Model

    Shuo Zhang, Jiaming Huang, Wenbing Tang, Lili Tian, Yuang Wei, and Jing Liu

    The IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, April 6-11, 2025.
11. AAAI 2025
    DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection

    Shuo Zhang, Jiaming Huang, Wenbing Tang, Yan Wu, Terrence Hu, Xiaogang Xu, and Jing Liu

    The AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, PA, USA, February 25-March 4, 2025.
10. WRC SARA 2024
    Continuous Motion Planning for Mobile Robots Using Fuzzy Deep Reinforcement Learning

    Fenghua Wu, Wenbing Tang*, Yuan Zhou, Shang-Wei Lin, Yang Liu, and Zuohua Ding

    2024 World Robot Conference Symposium on Advanced Robotics and Automation (WRC SARA), Beijing, China, August 23, 2024.
9. Robotica 2024
   Robust Motion Planning for Mobile Robots Under Attacks Against Obstacle Localization

   Fenghua Wu, Wenbing Tang*, Yuan Zhou, Shang-Wei Lin, Zuohua Ding, and Yang Liu

   Robotica, vol. 42, no. 8 (2024): 2781-2800.
8. KBS 2024
   Causal Deconfounding Deep Reinforcement Learning for Mobile Robot Motion Planning

   Wenbing Tang, Fenghua Wu, Shang-wei Lin, Zuohua Ding, Jing Liu, Yang Liu, and Jifeng He

   Knowledge-Based Systems (KBS), vol. 303 (2024): 112406.
7. TIFS 2023
   Robust Motion Planning for Multi-robot Systems Against Position Deception Attacks

   Wenbing Tang, Yuan Zhou, Yang Liu, Zuohua Ding, and Jing Liu

   IEEE Transactions on Information Forensics and Security (TIFS), vol. 19 (2023): 2157-2170.
6. TII 2023
   Causality-guided Counterfactual Debiasing for Anomaly Detection of Cyber-Physical Systems

   Wenbing Tang, Jing Liu, Yuan Zhou, and Zuohua Ding

   IEEE Transactions on Industrial Informatics (TII), vol.20, no. 3 (2023): 4582-4593.
5. RA-L 2023
   GAN-Based Robust Motion Planning for Mobile Robots Against Localization Attacks

   Wenbing Tang, Yuan Zhou, Haiying Sun, Yuhong Zhang, Yang Liu, Zuohua Ding, Jing Liu, and Jifeng He

   IEEE Robotics and Automation Letters (RA-L), vol.8, no. 3 (2023): 1603-1610.
4. Robotica 2023
   Cooperative collision avoidance in multirobot systems using fuzzy rules and velocity obstacles

   Wenbing Tang, Yuan Zhou, Tianwei Zhang, Yang Liu, Jing Liu, and Zuohua Ding

   Robotica, vol. 41, no. 2 (2023): 668-689.
3. Mathematics 2021
   Long-Term Target Tracking of UAVs Based on Kernelized Correlation Filter

   Junqiang Yang, Wenbing Tang, and Zuohua Ding

   Mathematics, vol. 9, no. 23 (2021): 3006.
2. TASE 2020
   Tracking a Ground Moving Target with UAV Based on Interval Type-2 Fuzzy Logic

   Yao Li, Wenbing Tang, Bochen Chen, and Zuohua Ding

   International Symposium on Theoretical Aspects of Software Engineering (TASE), Hangzhou, China, December 11-13, 2020.
1. DSA 2019
   Dynamic Algorithm Selection for Mobile Robots Motion Planning

   Wenbing Tang, Libin Zheng, Mingyue Jiang, and Zuohua Ding

   2019 6th International Conference on Dependable Systems and Their Applications (DSA), Harbin, China, January 3-6, 2020.

Awards & Honors

• Best Paper Award Nomination, World Robot Conference (WRC)
• Excellent Paper Award, Shanghai Computer Society
• Outstanding Graduate of Shanghai, 2024
• Outstanding Graduate of Zhejiang Province, 2020
• National Graduate Fellowship, 2019
• National Encouragement Scholarship, 2014

Reviewer Service

• Journals: ACM TOSEM, IEEE TFS, IEEE TCSVT, IEEE TSMC, IEEE T-ASE, IEEE TITS, IEEE TETCI, IEEE IoT-J, ACM TIST, CAAI CIT
• Conferences: CVPR, NeurIPS, FSE, AAAI, ACM MM, ICRA, IROS, ICASSP, ICME

Teaching

• Python Programming, Spring 2026
• Digital Image Processing, Fall 2026