Dr. Yaohui Zhu

Time：2024-10-11Views：17

Associate Professor

Email: yaohui.zhu@buct.edu.cn

Background                                                                  

 Yaohui Zhu is currently an Associate Professor at College of Information Science and Technology, Beijing University of Chemical Technology. He obtained his PhD degree from Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, in 2021. He has authored and co-authored over 10 peer-reviewed papers in journals and conferences, such as IEEE TPAMI, IEEE TIP, IEEE TMM, IEEE TITS, ACM MM and AAAI. He serves as a reviewer for several international journals, including IEEE TPAMI, IEEE TIP, IEEE TMM, IEEE TITS, IEEE TCSVT and IEEE TNNLS.

 Areas of Research of Expertise

  • Autonomous driving, Inspection robot perception, Multimodal object detection, Multimodal semantic segmentation.

  • Machine learning, few-shot learning, multi-task learning.

Teaching                                             

 Undergraduate Teaching

  • Web Spider

Research                                                

 Funded Research Projects

The National Natural Science Foundation of China:

  • RGB-Infrared Object Detection Based on Local Visual Correlation

 Main Achievements & Awards

  • Chinese Academy of Sciences President's Award

Five Representative Publications                                           

  1.  Xiaoyu Sun, Yaohui Zhu*, Hua Huang. Specificity-Guided Cross-Modal Feature Reconstruction for RGB-Infrared Object Detection[J], IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), 2024. (Minor Revision)

  2. Yaohui Zhu, Xiaoyu Sun, Miao Wang, Hua Huang. Multi-modal feature pyramid transformer for rgb-infrared object detection[J]. IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), 2023, 24(9): 9984-9995.

  3. Yaohui Zhu, Weiqing Min, Shuqiang Jiang. Attribute-Guided Feature Learning for Few-Shot Image Recognition[J]. IEEE Transactions on Multimedia (IEEE TMM), 2021, 23: 1200-1209.

  4. Yaohui Zhu, Chenlong Liu, Shuqiang Jiang. Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition[C]. In International Joint Conferences on Artificial Intelligence (IJCAI), 2020: 1090-1096.

  5.  Shuqiang Jiang, Yaohui Zhu, Chenlong Liu, Xinhang Song, Xiangyang Li, and Weiqing Min. Dataset Bias in Few-shot Image Recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022, 45(1): 229-246.