Name: Jianwu Li
Discipline: Computer Science and Technology
Title: Associate Professor
Contact number:
E-mail: ljw@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology, Haidian District, Beijing Personal Information
Jianwu Li, Ph.D., Associate Professor, Senior Member of Computer Society, Member of Automation Society, IEEE. He received his bachelor's, master's and doctor's degrees from Tianjin University in 1997, 2000 and 2003 respectively, and was a visiting scholar at Columbia University from 2013 to 2014. Research interests include: artificial intelligence, machine learning, image and video processing, published more than 50 papers in CVPR, AAAI, ACMMM, IEEE TIP, PR, Acta Automatica and other important conferences or journals at home and abroad, hosted or participated in more than 10 projects such as National key research and development program, National Natural Science Foundation, Beijing Natural Science Foundation and so on. The main course is "Programming Method and Practice", "Artificial Intelligence", "discrete Mathematics" and other courses.

Research Direction
1. Machine Learning Theory and Method
Deep learning, presentation learning, ensemble learning, reinforcement learning, etc.
2. Image and Video Processing based on Machine learning
Object detection, segmentation and recognition, image denoising and super-resolution enhancement, medical image enhancement, segmentation and retrieval.

Personal Information
Jianwu Li, Ph.D., Associate Professor, Senior Member of Computer Society, Member of Automation Society, IEEE. He received his bachelor's, master's and doctor's degrees from Tianjin University in 1997, 2000 and 2003 respectively, and was a visiting scholar at Columbia University from 2013 to 2014. Research interests include: artificial intelligence, machine learning, image and video processing, published more than 50 papers in CVPR, AAAI, ACMMM, IEEE TIP, PR, Acta Automatica and other important conferences or journals at home and abroad, hosted or participated in more than 10 projects such as National key research and development program, National Natural Science Foundation, Beijing Natural Science Foundation and so on. The main course is "Programming Method and Practice", "Artificial Intelligence", "discrete Mathematics" and other courses.

Personal Information
Jianwu Li, Ph.D., Associate Professor, Senior Member of Computer Society, Member of Automation Society, IEEE. He received his bachelor's, master's and doctor's degrees from Tianjin University in 1997, 2000 and 2003 respectively, and was a visiting scholar at Columbia University from 2013 to 2014. Research interests include: artificial intelligence, machine learning, image and video processing, published more than 50 papers in CVPR, AAAI, ACMMM, IEEE TIP, PR, Acta Automatica and other important conferences or journals at home and abroad, hosted or participated in more than 10 projects such as National key research and development program, National Natural Science Foundation, Beijing Natural Science Foundation and so on. The main course is "Programming Method and Practice", "Artificial Intelligence", "discrete Mathematics" and other courses.

代表性学术成果
代表性学术成果（*通讯作者）
[1] Tianfei Zhou, Jianwu Li*, Xueyi Li and Ling Shao. Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation. CVPR 2021.
[2] Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang. Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. AAAI 2021.
[3] Tianfei Zhou, Jianwu Li*, Shunzhou Wang, Ran Tao, Jianbing Shen. MATNet: Motion-Attentive Transition Network for Zero-Shot Video Object Segmentation. IEEE Transactions on Image Processing. 2020.
[4] Tianfei Zhou, Shunzhou Wang, Yi Zhou, Yazhou Yao, Jianwu Li*, Ling Shao. Motion-attentive transition for zero-shot video object segmentation. AAAI 2020.
[5] 李建武*，康杨，周金鹏. PF-FICOTA-SENSE：MRI快速重构方法. 自动化学报，2020，46(5).
[6] Shuyang Zhao, Jianwu Li*, Jiaxing Wang. Disentangled representation learning and residual GAN for age-invariant face verification, Pattern Recognition, 2020.
[7] Zheng Wang, Jianwu Li*, Ge Song. DTDN: dual-task de-raining network. ACMMM 2019.
[8] 霍其润, 李建武*, 陆耀, 秦明. 基于变分的CT图像环形伪影校正. 自动化学报, 2019, 45(9): 1713-1726.
[9] 赵树阳, 李建武*. 基于生成对抗网络的低秩图像生成方法. 自动化学报, 2018, 44(5): 829-839.
[10] Shuyang Zhao, Jianwu Li*, Qirun Huo. Removing ring artifacts in CBCT images via generative adversarial network, ICASSP 2018, pp.1055-1059.
[11] Jianwu Li, Tianfei Zhou, Yao Lu. Learning to generate video object segment proposals. ICME 2017: 787-792.
所获奖励
1、2018年，指导学生参加中国机器人大赛，获得三项二等奖。
2、指导硕士生魏海周、宋玉龙获得校优秀硕士学位毕业论文。