深度学习算法，强化学习算法

   

081203-计算机应用技术

深度学习算法，强化学习算法

2013-09--2019-07   中国科学院计算技术研究所   工学博士
2009-09--2013-07   北京航空航天大学   理学学士

   

2021-10~现在, 中国科学院计算技术研究所, 副研究员
2019-07~2021-09,中国科学院计算技术研究所, 助理研究员

   

[1] 唐胜, 张蕊, 李锦涛. 基于特征图恢复的场景分割方法和系统. CN: CN109034198B, 2020-12-11.

[2] 唐胜, 张蕊, 李锦涛. 融合全局信息的场景分割修正方法与系统. CN: CN107564007B, 2020-09-11.

[3] 唐胜, 张蕊, 李锦涛. 融合局部信息的场景分割修正方法与系统. 中国: CN107564013A, 2018.01.09.

   

[1] Huang, Di, Zhang, Rui, Zhang, Xishan, Wu, Fan, Wang, Xianzhuo, Jin, Pengwei, Liu, Shaoli, Li, Ling, Chen, Yunji. A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2021, 129(10): 2806-2826, http://dx.doi.org/10.1007/s11263-021-01500-9.
[2] Tianyi Wu, Sheng Tang, Rui Zhang, Guodong Guo. Consensus Feature Network for Scene Parsing. IEEE Transactions on Multimedia (Accepted, Early Access)[J]. 2021, https://ieeexplore.ieee.org/document/9473001.
[3] Wang, Yu, Zhang, Rui, Zhang, Shuo, Li, Miao, Xia, YangYang, Zhang, XiShan, Liu, ShaoLi. Domain-Specific Suppression for Adaptive Object Detection. 2021, http://arxiv.org/abs/2105.03570.
[4] Wu, Tianyi, Tang, Sheng, Zhang, Rui, Cao, Juan, Zhang, Yongdong. CGNet: A Light-Weight Context Guided Network for Semantic Segmentation. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2021, 30: 1169-1179, http://dx.doi.org/10.1109/TIP.2020.3042065.
[5] Zhang, Xishan, Liu, Shaoli, Zhang, Rui, Liu, Chang, Huang, Di, Zhou, Shiyi, Guo, Jiaming, Guo, Qi, Du, Zidong, Zhi, Tian, Chen, Yunji, IEEE. Fixed-Point Back-Propagation Training. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2020, 2327-2335, [6] 张蕊, 李锦涛. 基于深度学习的场景分割算法研究综述. 计算机研究与发展[J]. 2020, 57(4): 859-875, http://lib.cqvip.com/Qikan/Article/Detail?id=7101302056.
[7] Zhang, Rui, Tang, Sheng, Zhang, Yongdong, Li, Jintao, Yan, Shuicheng. Perspective-Adaptive Convolutions for Scene Parsing. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2020, 42(4): 909-924, http://dx.doi.org/10.1109/TPAMI.2018.2890637.
[8] Li, Yu, Tang, Sheng, Zhang, Rui, Zhang, Yongdong, Li, Jintao, Yan, Shuicheng. Asymmetric GAN for Unpaired Image-to-Image Translation. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2019, 28(12): 5881-5896, http://doi.org/10.1109/TIP.2019.2922854.
[9] Wu, Tianyi, Tang, Sheng, Zhang, Rui, Cao, Juan, Li, Jintao, IEEE. TREE-STRUCTURED KRONECKER CONVOLUTIONAL NETWORK FOR SEMANTIC SEGMENTATION. 2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2019, 940-945, [10] 张蕊. 基于深度学习的场景分割技术研究. 2019, [11] Li, Yu, Tang, Sheng, Zhang, Rui, Zhang, Yongdong, Li, Jintao, Yan, Shuicheng. Asymmetric GAN for Unpaired Image-to-Image Translation. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2019, 28(12): 5881-5896, http://dx.doi.org/10.1109/TIP.2019.2922854.
[12] Zhang, Rui, Tang, Sheng, Li, Yu, Guo, Junbo, Zhang, Yongdong, Li, Jintao, Yan, Shuicheng, ACM. Style Separation and Synthesis via Generative Adversarial Networks. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 183-191, http://dx.doi.org/10.1145/3240508.3240524.
[13] Zhang, Rui, Tang, Sheng, Liu, Wu, Zhang, Yongdong, Li, Jintao. Multi-modal tag localization for mobile video search. MULTIMEDIA SYSTEMS[J]. 2017, 23(6): 713-724, http://dx.doi.org/10.1007/s00530-016-0506-9.
[14] Zhang, Rui, Tang, Sheng, Zhang, Yongdong, Li, Jintao, Yan, Shuicheng, IEEE. Scale-adaptive Convolutions for Scene Parsing. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)null. 2017, 2050-2058, 

（1） 智能计算系统实验教程, 机械工业出版社, 2021-08, 第 4 作者

   

（ 1 ） 基于神经网络结构和训练超参数联合搜索的自动机器学 习技术研究, 主持, 国家级, 2022-01--2024-12