Publications

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.

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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.

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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.

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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.

Jing Zhang, Wanqing Li, Philip Ogunbona (2017). Joint Geometrical and Statistical Alignment for Visual Domain Adaptation. In CVPR.

Jing Zhang, Wanqing Li, Pichao Wang, Philip Ogunbona, Song Liu, Chang Tang (2016). A Large Scale RGB-D Dataset for Action Recognition. In ICPR.

Jing Zhang, Wanqing Li, Philip O Ogunbona, Pichao Wang, Chang Tang (2016). RGB-D-based action recognition datasets: A survey. PR.

Pichao Wang, Wanqing Li, Zhimin Gao, Jing Zhang, Chang Tang, Philip O Ogunbona (2015). Action recognition from depth maps using deep convolutional neural networks. THMS.

Pichao Wang, Wanqing Li, Zhimin Gao, Chang Tang, Jing Zhang, Philip Ogunbona (2015). ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring. In ACMMM.