🏝️ About Me
Hello! I’m currently pursuing a Ph.D. in Electronic Engineering at Beihang University (BUAA). I earned my Master’s degree in Electronic Engineering from Shandong University (SDU), where I specialized in AI security under the guidance of Prof. Ju Liu. My academic foundation was built with a Bachelor’s degree in Mechanical Engineering and Automation from Qingdao University of Science and Technology (QUST), which provided me with a solid interdisciplinary base for my research.
My research is centered on exploring the latent properties of neural networks and their connections to brain mechanisms. My goal is to enhance the sustainability, reliability, and efficiency of machine learning. To achieve this, I focus on two main areas:
- Robustness: Improving model robustness by addressing adversarial examples and other security challenges.
- Efficiency: Enhancing learning efficiency through techniques like dataset distillation to optimize data usage.
You can find my Curriculum Vitae here.
🔥 News
- 2024.12: 📝📝 Honored to be invited as a reviewer for ICML 2025.
- 2024.11: 🔥🔥 Check out our recent work on the benchmark for evaluating adversarial robustness in Dataset Distillation, BEARD: Paper, Code, Leaderboard.
- 2024.11: 🔥🔥 Honored to be selected as a Top Reviewer for NeurIPS 2024. Excited to contribute to the review process of this prestigious conference in the AI and ML community. The official announcement can be found here.
- 2024.10: 📝📝 Honored to be invited as a reviewer for AISTATS 2025.
- 2024.08: 📝📝 Honored to be invited as a reviewer for ICLR 2025.
- 2024.06: 🔥🔥 Check out our recent work on Dataset Distillation, BACON: Project Page, Paper, Code.
- 2024.05: 📝📝 Honored to be invited as a reviewer for NeurIPS 2024.
- 2023.09: 🎓🎓 I am fortunate to join Beihang university under the supervision of Prof. Qi Zhao and Prof. Wenquan Feng.
- 2023.06: 🏅🏅 Successfully defended my master’s thesis and obtained my M.Eng degree.
- 2022.06: 📚📚 One first-authored paper accepted by ICSI 2022 (Oral).
📝 Publications
BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation
Zheng Zhou, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiaowei Huang, Qi Zhao
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation
Zheng Zhou, Hongbo Zhao, Guangliang Cheng, Xiangtai Li, Shuchang Lyu, Wenquan Feng, Qi Zhao
Zheng Zhou, Hongbo Zhao, Ju Liu, Qiaosheng Zhang, Liwei Geng, Shuchang Lyu, Wenquan Feng
Zheng Zhou, Ju Liu and Yanyang Han
🎖 Honors and Awards
- 2022.10 The Thirteenth International Conference on Swarm Intelligence, ICSI – Oral.
- 2023.09 ASCEND Competition for Re-ID, – Silver Award
📖 Educations
- 2023.09 - Now, Ph.D. in Electronic Engineering, Beihang University (BUAA), Beijing, China, Advisor: Prof. Qi Zhao & Prof. Wenquan Feng.
- 2020.09 - 2023.06, M.Eng. in Electronic Engineering, Shandong University (SDU), Qingdao, China, Advisor: Prof. Ju Liu.
- 2016.10 - 2018.10, Visiting Student in Electronic Engineering, Technical University of Ilmenau (TU Ilmenau), Thuerigen, Germany.
- 2012.06 - 2016.09, B.Eng. in Mechanical Engineering and Automation, Qingdao University of Science and Technology (QUST), Qingdao, China.
🌟 Academic Service
Peer Review
I contribute to the academic community by reviewing papers for various prestigious journals and conferences. My reviewing experience includes:
- NeurIPS 2024
- ICLR 2025
- AISTATS 2025
- ICML 2025
💻 Work Experience
- 2018.10 - 2023.06, Embeded Software Engineer, Haier Group Corporation, Open Innovation Platform & GE Appliance Development Devision, China.