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陈健生,北京科技大学计算机与通信工程学院教授,博士生导师,安徽芜湖人。本科与硕士均毕业于清华大学计算机科学与技术系,博士毕业于香港中文大学计算机科学与工程系。2009年4月至2021年9月在清华大学电子工程系工作,先后任助理研究员,助理教授和副教授、博士生导师。2021年10月进入北京科技大学工作。主要研究方向为鲁棒计算机视觉与机器学习方法。承担国家自然科学基金,重点研发计划创新特区,北京高校英才计划在内的科研项目十余项。在包括CVPR、ICCV、ECCV、SIGIR、TPAMI、TIP、TMM、Nature Communications在内国际期刊和会议上发表学术论文百余篇,单篇最高引用500余次,曾获北京市科学技术一等奖、中国图象图形学学会自然科学二等奖、国际生物特征识别会议最佳学生论文、ACM Multimedia视频语义理解竞赛冠军等科研奖励,所提出的图象分割算法被OpenCV采用。IEEE高级会员,曾任中国图象图形学学会成像探测与感知专委会副秘书长,全国安全防范报警系统标准化技术委员会人体生物特征识别应用分技术委员会通讯委员。国家级一流本科课程和北京高等学校优质本科课程的课程负责人。曾获清华大学青年教师教学优秀奖,清华大学先进工作者等。

1. Hongwei Yu, Jiansheng Chen*, Xinlong Ding, Yudong Zhang, Ting Tang, Huimin Ma, Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024. (CCF-A)

2. Xinlong Ding, Jiansheng Chen*, Hongwei Yu, Yu Shang, Yining Qin, Huimin Ma, Transferable Adversarial Attacks for Object Detection using Object-Aware Significant Feature Distortion, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024. (CCF-A)

3. Jiawei Li, Jiansheng Chen*, Jinyuan Liu, Huimin Ma, Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion, ACM Multimedia Conference 2023, Oct. 2023. (CCF-A)

4. Yu Shang, Cheng Gao, Jiansheng Chen*, Depeng Jin, Meng Wang, Yong Li, “Learning Fine-grained User Interests for Micro-video Recommendation”, International ACM SIGIR Conference on Research and Development in Information Retrieval ACM, 2023. (CCF-A)

5. Weitao Wan, Cheng Yu, Jiansheng Chen*, Tong Wu, Yuanyi Zhong, and Ming-Hsuan Yang, Shaping Deep Feature Space Towards Gaussian Mixture for Visual Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2), 2430-2444, 2023. (CCF-A, 中科院1区)

6. Xinyu Zhang, Tianfang Zhao, Jiansheng Chen*, Yuan Shen, and Xueming Li. "EPicker is an exemplar-based continual learning approach for knowledge accumulation in cryoEM particle picking." Nature Communications, 13:2468 (2022): 1-10. (中科院1区)

7. Youze Xue, Jiansheng Chen*, Xiangming Gu, Huimin Ma, Hongbing Ma, Boosting Monocular 3D Human Pose Estimation With Part Aware Attention, IEEE Transactions on Image Processing, vol 31, pp. 4278-4291, 2022. (CCF-A, 中科院1区)

8. Youze Xue, Jiansheng Chen*, Yudong Zhang, Cheng Yu, Huimin Ma, Hongbing Ma, 3D Human Mesh Reconstruction by Learning to Sample Joint Adaptive Tokens for Transformers, ACM Multimedia Conference 2022, Oct. 2022. (CCF-A)

9. Cheng Yu, Jiansheng Chen*, Youze Xue, Yuyang Liu, Weitao Wan, Jiayu Bao, Huimin Ma, Defending against Universal Adversarial Patches by Clipping Feature Norms, IEEE/CVF International Conference on Computer Vision (ICCV), Oct. 2021. (CCF-A)

10. Xugang Cao, Youze Xue, Jiansheng Chen*, Xiaohe Chen, Yu Ma, Chunhua Hu, Huimin Ma, Hongbing Ma, Video Based Shuffling Step Detection for Parkinsonian Patients Using 3D Convolution, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 641-649, 2021. (中科院1区)

11. Yiqing Huang, Jiansheng Chen*, Wanli Ouyang, Weitao Wan, and Youze Xue, Image Captioning With End-to-End Attribute Detection and Subsequent Attributes Prediction, IEEE Transactions on Image Processing, vol 29, pp. 4013-4026, 2020. (CCF-A)

12. Weitao Wan, Jiansheng Chen*, Ming-Hsuan Yang, Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification, European Conference on Computer Vision (ECCV), Aug. 2020.

13. Yu Liu, Jiansheng Chen*, Chunhua Hu, Yu Ma, Dongyun Ge, Suhua Miao, Youze Xue, Luming Li, Vision-Based Method for Automatic Quantification of Parkinsonian Bradykinesia, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 10, pp. 1952-1961, Oct. 2019. (中科院1区)

14. Youze Xue, Jiansheng Chen*, Weitao Wan, Yiqing Huang, Cheng Yu, Tianpeng Li, Jiayu Bao, MVSCRF: Learning Multi-view Stereo with Conditional Random Fields, IEEE/CVF International Conference on Computer Vision (ICCV), Oct. 2019. (CCF-A)

15. Weitao Wan, Jiansheng Chen*, Tianpeng Li, Yiqing Huang, Jingqi Tian, Cheng Yu, Youze Xue, Information Entropy Based Feature Pooling for Convolutional Neural Networks, IEEE/CVF International Conference on Computer Vision (ICCV), Oct. 2019. (CCF-A)

16. Weitao Wan, Yuanyi Zhong, Tianpeng Li, Jiansheng Chen*, Rethinking Feature Distribution for Loss Functions in Image Classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2018. (CCF-A)

国家自然科学基金面上项目,认知归纳偏置引导的鲁棒机器学习方法研究,2024.1~2027.12

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