近期论文：

1. Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao and Hua Huang. Transitional Learning: Exploring the Transition States of Degradation for Blind Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), Vol.45, No.5, pp.6495-6510, 2023, doi: 10.1109/TPAMI.2022.3206870.
2. Yan Gao, Haojun Xu, Jie Li* and Xinbo Gao. BPMTrack: Multi-Object Tracking With Detection Box Application Pattern Mining. IEEE Transactions on Image Processing (IEEE TIP), Vol. 33, pp. 1508-1521, 2024, doi: 10.1109/TIP.2024.3364828. 
3. Ziqi Ren, Jie Li*, Lukun Wu, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao. Brain-driven Facial Image Reconstruction via StyleGAN Inversion with Improved Identity Consistency. Pattern Recognition, Vol.150, pp.2024. doi.org/10.1016/j.patcog.2024.110331  
4. Yuanfei Huang, Jie Li, Yanting Hu, Hua Huang and Xinbo Gao. Deep Convolution Modulation for Image Super-resolution. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol. 34, No. 5, pp. 3647-3662, May 2024, doi: 10.1109/TCSVT.2023.3317486. 
5. Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao. De-biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Vol. 28, No. 6, pp. 3732-3741, June 2024, doi: 10.1109/JBHI.2024.3384848.
6. Guang Yang, Jie Li*, Hanxiao Lei, Xinbo Gao. A Multi-scale Information Integration Framework for Infrared and Visible Image Fusion. Neurocomputing, Vol.600, pp.128116, 2024. doi: 10.1016/j.neucom.2024.128116
7. Guang Yang, Jie Li*, Xinbo Gao. A Dual Domain Multi-exposure Image Fusion Network Based on Spatial-frequency Integration. Neurocomputing, Vol.598, pp.128146, September, 2024.  
8. Zhusi Zhong, Jie Li, John Sollee, ScottCollins, HarrisonBai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao。 Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2024. DOI: 10.1109/JBHI.2024.3417849.
9. Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao*. Reconstructing controllable faces from brain activity with hierarchical multiview representations. Neural Networks, Vol.166, pp.487-500. https://doi.org/10.1016/j.neunet.2023.07.016 
10. Yi Hao, Jie Li, Nannan Wang, Xiaoyu Wang, Xinbo Gao. Spatiotemporal consistency-enhanced network for video anomaly detection. Pattern Recognition, Vol.121, pp.108232, 2022. https://doi.org/10.1016/j.patcog.2021.108232 
11. Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang*, Heng Huang, Xinbo Gao*. Wavelet-based Dual Recursive Network for Image Super-Resolution. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol.33. No.2, pp.707-720, 2022.
12. Mingrui Zhu, Jie Li, Nannan Wang*, Xinbo Gao*. Knowledge Distillation for Face Photo-Sketch Synthesis. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol.33, No.2, pp.893-906, 2022. 
13. Yan Gao, Haojun Xu, Jie Li, Nannan Wang, Xinbo Gao. Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking. Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI2024), pp.1842-1850, February 20-27, 2024, Vancouver, Canada. 
14. Haoyue Hua, Jie Li*, Ying Wang, Xinbo Gao. A Dual-stream Convolutional Feature Fusion Network for Hyperspectral Unmixing. 2023 IEEE International Geoscience and Remote Sensing Symposium (IGRSS2023), pp.7531-7534, 2023. DOI: 10.1109/IGARSS52108.2023.10283276 
15. Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez Fayad, Helen Zhang, Sun Ho Ahn, Harrison Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao. Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Vancouver, CANADA, OCT 08-12, 2023. Medical Image Computing and Computer Assisted Intervention, MICCAI 2023, PT V. Vol.14224, pp.515-525. DOI: 10.1007/978-3-031-43904-9_50

早期论文：

1. LI Jie，GAO Xinbo, JIAO Licheng，A Novel Clustering Algorithm Based on Immune Network with Limited Resource，Lecture Notes in Artificial Intelligence (LNAI 3339), 2004, 3339:319-331.
2. LI Jie，GAO Xinbo, JIAO Licheng，A New Cluster Validity Function Based on the Modified Partition Fuzzy Degree，Lecture Notes in Artificial Intelligence (LNAI 3066) 2004，3066:586-591.
3. LI Jie, GAO Xinbo, JIAO Licheng，A CSA-Based Clustering Algorithm for Large Data Sets With Mixed Numeric and Categorical Values, Proceedings of the World Congress on Intelligent Control and Automation (WCICA2004)，Hang Zhou, China, June, 2004: 2003-2007.
4. LI Jie，GAO Xinbo, JIAO Licheng，A Novel Clustering Method With Network Structure Based On Clonal Algorithm，IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'04)，Montreal, Canada, May 17-21, 2004: 793-796.
5. LI Jie，GAO Xinbo, JIAO Licheng，A GA-Based Clustering Algorithm for Large Data Sets With Mixed Numeric and Categorical Values，Third International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR'03), Beijing, China, September, 2003: 171-174
6. LI Jie，GAO Xinbo and JI Hongbing，A feature weighted FCM clustering algorithm based on evolutionary strategy，Proceedings of the 4th World Congress on Intelligent Control and Automation(WCICA2002)，Shanghai, China, June, 2002: 1549-1553.
7.  LI Jie，GAO Xinbo, JIAO Licheng，A GA-Based Clustering Algorithm for Large Data Sets With Mixed Numeric and Categorical Values，Proceedings of the Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'03), Xi’an, China, September, 2003: 102-107.
8. LI Jie，GAO Xinbo, JIAO Licheng，A novel clustering method based on SVM, Lecture Notes in Computer Science (LNCS 3497), 2005, 3497: 57-62.
9. 李洁，高新波，焦李成，“一种基于修正划分模糊度的聚类有效性函数”, 系统工程与电子技术, 2005, 27(4): 723-726.
10. 李洁，高新波，焦李成，“一种基于CSA的模糊聚类新算法”，电子与信息学报，2005, 27(2): 302-305.
11. 李洁、高新波、焦李成，焦李成，模糊CLOPE算法及其参数优选，控制与决策，2004, 19(11): 1250-1254.
12. 李洁、高新波、焦李成，一种基于CSA的混和属性特征大数据集聚类算法，电子学报，2004，32 (3): 367-362.
13. 李洁、高新波、焦李成，基于克隆算法的网络结构聚类新算法，电子学报，2004，32 (7): 56-60.
14. 李洁、焦李成，视频图像中字幕区域自动提取算法，系统工程与电子技术，2003.25(9): 1147-1150.
15. 李洁、高新波、焦李成，一种基于GA的混和属性特征大数据集聚类算法，电子与信息学报，2004，26(8):.1203-1209.
16. 李洁，焦李成，视频图象中字幕区域自动提取算法，系统工程与电子技术，2003, 25(9): 1147-1150.