个人简介
副教授,博士,博士生导师。2019年博士毕业于澳大利亚伍伦贡大学计算与信息技术专业。
科研成果
主持国家自然科学基金青年基金项目1项,主持企事业单位委托科技项目1项,作为项目骨干参与国家自然科学基金重点项目、科技部国家重点研发计划项目、广东省重点领域研发计划项目等重点项目。申请技术发明专利4项。在计算机视觉与机器学习等领域重要期刊(ACM-CSUR,IEEE T-IP,IEEE T-KDE,PR,IEEE T-HMS等)和国际会议(CVPR,ECCV,ACM-MM等)上发表学术论文18篇。Google Scholar总被引次数1680余次,单篇最高被引近400次。常年担任CVPR,ICCV,ECCV,NeurIPS,ICLR,ICML,AAAI,IJCV,ACM-CSUR,IEEE T-NNLS,IEEE T-MM,PR等会议和期刊审稿人
研究领域
主要研究领域为计算机视觉与机器学习,重点研究迁移学习在计算机视觉领域中的应用,涉及图像分类、物体检测、语义分割、三维视觉等计算机视觉任务以及领域自适应、小样本学习、持续学习等机器学习理论及方法
近期论文
查看导师新发文章
(温馨提示:请注意重名现象,建议点开原文通过作者单位确认)
Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng*, Dong Xu (2022). Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. In ECCV.
Daigang Cai, Lichen Zhao, Jing Zhang*, Lu Sheng, Dong Xu (2022). 3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds. In CVPR.
JiaXu Wan, Hong Zhang, Jing Zhang, Yuan Ding, Yifan Yang, Yan Li, Xuliang Li (2022). DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking. arXiv preprint arXiv:2203.10729.
Jing Zhang, Changran Lei, Yilong Yang, Borui Wang, Yang Chen (2021). MMA-Net: A MultiModal-Attention-Based Deep Neural Network for Web Services Classification. In ICSOC.
Yilong Yang, Zhaotian Li, Jing Zhang*, Yang Chen (2021). Transfer Learning for Web Services Classification. In ICWS.
Jing Zhang, Yang Chen, Yilong Yang, Changran Lei, Deqiang Wang (2021). ServeNet-LT: A Normalized Multi-head Deep Neural Network for Long-tailed Web Services Classification. In ICWS.
Mucong Ye, Jing Zhang*, Jinpeng Ouyang, Ding Yuan (2021). Source Data-free Unsupervised Domain Adaptation for Semantic Segmentation. In ACMMM.
Jiayi Tian, Jing Zhang*, Wen Li, Dong Xu (2021). VDM-DA: Virtual Domain Modeling for Source Data-Free Domain Adaptation. T-CSVT.
Bowen Yang, Jing Zhang*, Zhenfei Yin, Jing Shao (2021). Few-Shot Domain Expansion for Face Anti-Spoofing. arXiv preprint arXiv:2106.14162.
Weichen Zhang, Dong Xu, Jing Zhang, Wanli Ouyang (2021). Progressive Modality Cooperation for Multi-Modality Domain Adaptation. TIP.
Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Lizhe Wang (2021). Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection. TKDE.
Mucong Ye, Jinpeng Ouyang, Ge Chen, Jing Zhang*, Xiaogang Yu (2020). Enhanced Feature Pyramid Network for Semantic Segmentation. In ICPR.
Jing Zhang, Wanqing Li, Lu Sheng, TangChang, Philip Ogunbona (2020). Unsupervised Domain Expansion from Multiple Sources. arXiv preprint arXiv:2005.12544.
Jing Zhang, Wanqing Li, Philip Ogunbona, Dong Xu (2020). Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective. CSUR.
Jing Zhang, Wanqing Li, Philip Ogunbona (2019). Unsupervised domain adaptation: A multi-task learning-based method. KBS.
Jing Zhang, Zewei Ding, Wanqing Li, Philip Ogunbona (2018). Importance Weighted Adversarial Nets for Partial Domain Adaptation. In CVPR.