刘毅
博士,教授
常州大学计算机与人工智能学院阿里云大数据学院软件学院
江苏常州 213164
办公电话:0519-88519909
传真:
E-MAIL: liuyi0089@cczu.edu.cn, liuyi0089@gmail.com
个人网页:https://intelligentvisionlab.github.io/
教育背景
2008.09-2012.06 南京工程学院 学士学位
2012.09-2015.06 大连大学 硕士学位
2015.09-2019.12 西安电子科技大学 博士学位
工作履历
2022.09- 常州大学计算机与人工智能学院、阿里云大数据学院、软件学院教授
2021.02-2022.08 常州大学计算机与人工智能学院、阿里云大数据学院、软件学院讲师
2020.01-2021.12 西安电子科技大学 机电工程学院 博士后
2019.07-2019.09 华威大学(英国)实习生
2018.09-2019.09 兰卡斯特大学(英国)访问学者
主要研究领域
计算机视觉、深度学习、机器学习
具体:
(1)图像显著性/伪装性检测
(2)无监督深度学习
(3)3D视觉
(4)小样本学习
(5)可解释性人工智能
(6)石化智能信息处理
招生:
1、 硕士研究生:请见学院硕士研究生招生简章。有意向学生请将简历发邮件liuyi0089@cczu.edu.cn,使用邮件主题“申请硕士研究生+姓名+毕业院校+专业”。
2、 本科生实习生(大二、大三):
招生要求:
(1) 自我激励性强,突出团队合作;
(2) 较好的数学、英语基础;
(3) 编程能力:matlab、python等语言,Tensorflow、Pytorch等深度学习框架;
(4) 对图像处理、深度学习算法有一定基础。
请关注以下说明:
(1) 请预先了解实验室近期发表的相关论文;
(2) 请结合GPA、编程能力、课程安排等情况确定自己学有余力且有足够时间投入科研工作
(3) 无学院、专业限制。
请将你的个人简历(包括GPA、比赛、项目经历等)、联系方式,以及申请动机和实习规划发送至:liuyi0089@cczu.edu.cn,使用邮件主题“申请本科生实习生+姓名+专业”。
教研成果
科研成果
论文(*表示通讯作者)
2025年:
1. Bingchen Dong, Gengshen Wu, Xia Feng, Yi Liu, Jungong Han, AMK-CDiffNet: Adaptive-Multiscale K-Space Cold Diffusion Network for Fast MRI Reconstruction, Expert Systems with Applications, 2025, 129384.(SCI,中科院一区,Top期刊)
2. Dingwen Zhang, Liangbo Cheng, Yi Liu*, Xinggang Wang, Junwei Han, Mamba capsule routing towards part-whole relational camouflaged object detection, International Journal of Computer Vision, 2025.(SCI,Top期刊, CCF-A)
3. Yi Liu, Chengxin Li, Shoukun Xu, Jungong Han, Part-whole relational fusion towards multi-modal scene understanding, International Journal of Computer Vision, 2025, 133(7): 4483-4503.(SCI,Top期刊, CCF-A)
4. Yi Liu, Chengxin Li, Xiaohui Dong, Lei Li, Dingwen Zhang, Shoukun Xu, Jungong Han, Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection, Expert Systems with Applications, 2025, 274: 126912.(SCI,中科院一区,Top期刊)
2024年:
5. Dingsheng Ong, Yi Liu*, Jungong Han, Towards few-shot object detection through dual calibration, IEEE Transactions on Intelligent Vehicles, 2024.(SCI,中科院一区,Top期刊)
6. Xuanchen Zhou, Gengshen Wu, Xin Sun, Pengpeng Hu, Yi Liu, Attention-based multi-kernelized and boundary-aware network for image semantic segmentation, Neurocomputing, 2024, 597: 127988.(SCI,中科院二区,Top期刊)
7. Yuyang Luo, Gengshen Wu, Yi Liu, Wenjian Liu, Jungong Han, Towards high-quality MRI reconstruction with Anisotropic Diffusion-Assisted Generative Adversarial Networks and its multi-modal images extension, IEEE Journal of Biomedical and Health Informatics, 2024.(SCI,中科院一区,Top期刊)
2023年:
8. Yi Liu, De Cheng, Dingwen Zhang, Shoukun Xu,and Jungong Han, Capsule Networks With Residual Pose Routing, IEEE Transactions on Neural Networks and Learning Systems, 2023. (SCI,中科院一区,Top期刊)
9. Yi Liu, Ling Zhou, Gengshen Wu, Shoukun Xu, Jungong Han, TCGNet: Type-Correlation Guidance for Salient Object Detection, IEEE Transactions on Intelligent Transportation Systems, 2023.(SCI,中科院一区,Top期刊)(祝贺本科生周凌考入复旦大学!)
10. Yi Liu, Xiaohui Dong, Dingwen Zhang, Shoukun Xu, Deep unsupervised part-whole relational visual saliency, Neurocomputing, 2024, 563: 126916.(SCI,中科院二区,Top期刊)
11. Shoukun Xu, Jianan Gu, Yining Hua*, and Yi Liu*, DKTNet Dual-Key Transformer Network for small object detection, Neurocomputing, 2023, 525: 29-41. (SCI,中科院二区,Top期刊)
2022年:
12. Yi Liu, Dingwen Zhang, Nian Liu, Shoukun Xu, and Jungong Han, Disentangled capsule routing for fast part-object relational saliency, IEEE Transactions on Image Processing (T-IP), 2022, DOI: 10.1109/TIP.2022.3215887. (SCI,中科院一区,Top期刊, CCF-A)
13. Yang Yang, Qi Qin, Yongjiang Luo, Yi Liu*, Qiang Zhang*, and Jungong Han, Bi-directional progressive guidance network for RGB-D salient object detection, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2022, 32(8): 5346-5360. (SCI,中科院一区,Top期刊, CCF-B)
2021年:
14. Yi Liu, Dingwen Zhang, Qiang Zhang, Jungong Han, Part-object relational visual saliency, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021, DOI 10.1109/TPAMI.2021.3053577. (SCI,中科院一区,Top期刊, CCF-A)
15. Yi Liu, Dingwen Zhang, Qiang Zhang, Jungong Han, Integrating part-object relationship and contrast for camouflaged object detection, 2021, IEEE Transactions on Information Forensics and Security (T-IFS), 2021, 16: 5154-5166. (SCI, 中科院一区,Top期刊, CCF-A)
16. Yi Liu, Mingxing Duanmu, Zhen Huo, Hang Qi, Zuntian Chen, Lei Li, and Qiang Zhang, Exploring multi-scale deformable context and channel-wise attention for salient object detection, Neurocomputing, 2021, 428: 92-103. (SCI,中科院二区,Top期刊, CCF-C)
17. Qiang Zhang, Mingxing Duanmu, Yongjiang Luo, Yi Liu*, and Jungong Han*, Engaging part-whole hierarchies and contrast cues for salient object detection, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021, DOI 10.1109/TCSVT.2021.3104932. (SCI,中科院一区,Top期刊, CCF-B)
2020年:
18. Yi Liu, Dingwen Zhang, Nian Liu, Shoukun Xu, and Jungong Han, Disentangled capsule routing for fast part-object relational saliency, IEEE Transactions on Image Processing (T-IP), 2022, DOI: 10.1109/TIP.2022.3215887. (SCI,中科院一区,Top期刊, CCF-A)Nianchang Huang, Yi Liu, Qiang Zhang, Jungong Han, Joint cross-modal and unimodal features for RGB-D salient object detection, IEEE Transactions on Multimedia (T-MM), 2020. (SCI,中科院一区,Top期刊, CCF-B)
2019年:
19. Yi Liu, Qiang Zhang, Dingwen Zhang, Jungong Han, Employing Deep Part-Object Relationships for Salient Object Detection, IEEE International Conference on Computer Vision (ICCV), 1232-1241, 2019. (CCF-A)
20. Yi Liu, Jungong Han, Qiang Zhang, Long Wang, Salient object detection via two-stage graphs, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2019, 29(4): 1023-1037. (SCI,中科院一区,Top期刊, CCF-B)
21. Qiang Zhang, Zhen Huo, Yi Liu, Yunhui Pan, Caifeng Shan, Jungong Han, Salient object detection employing a local tree-structured low-rank representation and foreground consistency, Pattern Recognition (PR), 2019, 92: 119-134. (SCI,中科院一区,Top期刊,CCF-B)
2018年:
22. Yi Liu, Qiang Zhang, Jungong Han, Long Wang, Salient object detection employing robust sparse representation and local consistency, Image and Vision Computing (IVC), 2018, 69: 155-167. (SCI,中科院三区, CCF-C)
23. Qiang Zhang, Yi Liu, Rick. S. Blum, Jungong Han, Dacheng Tao, Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review, Information Fusion, 2018, 40: 57-75. (SCI,中科院一区,高被引,Top期刊)
2017年:
24. Qiang Zhang, Yi Liu, Siyang Zhu, Jungong Han, Salient object detection based on super-pixel clustering and unified low-rank representation, Computer Vision and Image Understanding (CVIU), 2017, 161: 51-64. (SCI,中科院三区, CCF-B)
研究项目
1. 2026.01-2029.12,融合图像信息的点云显著目标检测研究,国家自然科学基金委,项目主持人
2. 2025.10-2028.09,三维场景下高保真钻头重建及磨损检测,江苏省高等学校基础科学(自然科学)研究重大项目,项目主持人
3. 2021.01-2023.12,基于轻量化胶囊网络的图像显著目标检测,国家自然科学基金青年基金项目,项目主持人
4. 2022.07-2025.06,部件-整体关系启发的统一视觉注意目标检测研究,江苏省自然科学基金面上项目,项目主持人
获奖
1. 江苏省“青蓝工程”中青年学术带头人,2025
2. 江苏省青年科技人才托举工程,2024
3. 常州市自然科学学术论文二等奖,2023
4. 常州市领军型创新人才C类,2022
专利
1. 基于鲁棒稀疏表示与拉普拉斯正则项的显著目标检测方法,专利号:ZL201710419857.0,授权日期:2019.08.06,张强,刘毅,关永强,霍臻,王龙
2. 基于类型线索相关性指导的显著目标检测方法,专利号:ZL 2023 1 0958480.1,授权日期:2025,刘毅,陶鑫,周凌 , 蒋广琪 , 官威 , 徐守坤
3.基于SAM目标检测的石化设备焊缝检测系统[简称:SAM焊缝检测系统]V1.0,登记号:2025SR0922468,2025.