Tianyuan Zhang is a PhD student at State Key Laboratory of Software Development Environment at the Beihang University(BUAA), supervised by Prof. Xianglong Liu and Prof. Aishan Liu.
My research interest includes autonomous driving safety and adversarial attack.
📖 Educations
- 2023.09 - present, Ph.D. in Computer Software and Theory, Beihang University.
- 2019.09 - 2023.06, B.Sc in Computer Science and Technology, Beihang University.
🎖 Honors and Awards
- 2023.6 I was selected as Excellent Graduate of Beijing.
- 2023.12 I received the Outstanding Research Project of Shen Yuan Honors College, BUAA.
🔥 News
- 2024.11: 🎉🎉 One paper accepted by ICSE 2025.
- 2024.08: 🎉🎉 One fisrt-co-authored paper accepted by Electronics 2024.
- 2024.07: 🎉🎉 Two papers (One first-authored) accepted by ACM Multimedia 2024.
- 2024.04: 🎉🎉 Two papers accepted by IEEE CVPR 2024 Workshops.
- 2023.12: 🎉🎉 One paper accepted by Visual Intelligence 2023.
- 2023.09: 🎉🎉 One fisrt-co-authored paper accepted by Electronics 2023.
- 2023.04: 🎉🎉 Two papers (One first-authored) accepted by IEEE CVPR 2023 Workshops.
- 2022.03: 🎉🎉 One paper accepted by IEEE TCC 2022.
📝 Publications
RobustE2E: Exploring the Robustness of End-to-End Autonomous Driving
Jiang Wei*, Lu Wang*, Tianyuan Zhang*, Yuwei Chen, Jian Dong✉️, Wei Bao, Zichao Zhang, Qiang Fu
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu✉️, Xianglong Liu, Dacheng Tao
Towards Robust Physical-world Backdoor Attacks on Lane Detection
Xinwei Zhang, Aishan Liu✉️, Tianyuan Zhang, Siyuan Liang, Xianglong Liu
Attack End-to-End Autonomous Driving through Module-Wise Noise
Lu Wang, Tianyuan Zhang, Yikai Han, Muyang Fang, Ting Jin, Jiaqi Kang
Enhancing the Transferability of Adversarial Attacks with Stealth Preservation
Xinwei Zhang, Tianyuan Zhang, Yitong Zhang, Shuangcheng Liu
RobustMQ: benchmarking robustness of quantized models
Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
Exploring the physical-world adversarial robustness of vehicle detection
Wei Jiang*, Tianyuan Zhang*, Shuangcheng Liu, Weiyu Ji, Zichao Zhang, Gang Xiao
Benchmarking the robustness of quantized models
Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin
Benchmarking the physical-world adversarial robustness of vehicle detection
Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang
Cloud workload turning points prediction via cloud feature-enhanced deep learning
Li Ruan, Yu Bai, Shaoning Li, Jiaxun Lv, Tianyuan Zhang, Limin Xiao, Haiguang Fang, Chunhao Wang, Yunzhi Xue