Junbao Zhuo

Zhuo Junbao, a Doctorate holder and Postdoctoral Research Fellow/Assistant Researcher at the Institute of Computing Technology, Chinese Academy of Sciences, is currently based in the 3D Image Cognition and Learning Laboratory within the School of Computer Science and Communication Engineering at Beijing University of Science and Technology. As a key research member, this individual has been involved in several national and ministerial-level projects, including: the “New Generation Artificial Intelligence” Major Project under Innovation 2030 Initiative, National 973 Program topics, 863 Program projects, and Key Projects funded by the National Natural Science Foundation.

The research focus lies in transfer learning, with over ten top-tier conference papers published in CCF-A class venues such as CVPR, ACM MM, among others, in recent years. This person also holds one application for a National Invention Patent. Being an ACM member, they have served as a reviewer for prestigious journals and conferences like TIP, TMM, CVPR, ICCV, ACM MM, ECCV, AAAI, ACCV, and have been recognized as an Outstanding Reviewer at the ACCV conference.

Email: junbaozhuo@ustb.edu.cn

博士、中国科学院计算技术研究所博士后/助理研究员,现在在北京科技大学计算机通信与工程学院三维图像认知与学习实验室。作为项目研究骨干,参与了多项国家和省部级项目的研究,包括:科技创新 2030“新一代人工智能”重大项目、国家973 课题、863计划项目、国家自然科学基金重点项目。研究领域为迁移学习,近年来发表 CCF-A 类顶级会议论文(CVPR、ACM MM等)10 余篇,申请国家发明专利 1项。ACM会员,担任 TIP、TMM、CVPR、ICCV、ACM MM、ECCV、AAAI、ACCV 等顶级期刊会议审稿人,获得了 ACCV 杰出审稿人的称号。

Selected Publications:

  • Junbao Zhuo, Shuhui Wang, Weigang Zhang, Qingming Huang. Deep Unsupervised Convolutional Domain Adaptation. ACM Conference on Multimedia (ACM MM), 261–269, 2017
  • Shuhui Wang, Yangyu Chen, Junbao Zhuo, Qingming Huang, Qi Tian. Joint Global and Co-Attentive Representation Learning for Image-Sentence Retrieval. ACM Conference on Multimedia (ACM MM), 1398–1406, 2018. (Oral, Acceptance rate: 8%)
  • Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang. Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 750-759, 2019.
  • Shuhao Cui, Shuhui Wang, Junbao Zhuo, Chi Su, Qingming Huang, Qi Tian. Gradually Vanishing Bridge for Adversarial Domain Adaptation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 12455-12464, 2020.
  • Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian. Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3941-3950, 2020. (Oral) 
  • Junbao Zhuo, Shuhui Wang, and Qingming Huang. Uncertainty Modeling for Robust Domain Adaptation Under Noisy Environments. IEEE Transactions on Multimedia (TMM), 2022.
  • Junbao Zhuo, Yan Zhu, Shuhao Cui, Shuhui Wang, Bin MA, Qingming Huang, Xiaoming Wei, and Xiaolin Wei. Zero-shot Video Classification with Appropriate Web and Task Knowledge Transfer. ACM Conference on Multimedia (ACM MM), 5761–5772, 2022.
  • Sheng Fang, Shuhui Wang, Junbao Zhuo, Qingming Huang, Bin MA, Xiaoming Wei, and Xiaolin Wei. Concept Propagation via Attentional Knowledge Graph Reasoning for Video-Text Retrieval. ACM Conference on Multimedia (ACM MM), 4789–4800, 2022.
  • Sheng Fang, Shuhui Wang, Junbao Zhuo, Xinzhe Han, and Qingming Huang. Learning Linguistic Association Towards Efficient Text-Video Retrieval. European Conference on Computer Vision (ECCV), 2022
  • Junbao Zhuo, Xingyu Zhao, Shuhui Wang, Huimin Ma, Qingming Huang. Synthesizing Videos from Images for Image-to-Video Adaptation. Proceedings of the 31st ACM International Conference on Multimedia, 2023
  • Junbao Zhuo, Xingyu Zhao, Shuhao Cui, Qingming Huang, Shuhui Wang. Adaptive Feature Swapping for Unsupervised Domain Adaptation. Proceedings of the 31st ACM International Conference on Multimedia, 2023