张蕊，中国科学院计算技术研究所副研究员，硕士生导师。长期从事人工智能算法相关的研究工作，研究方向包括深度学习、强化学习、计算机视觉、大模型等。先后在人工智能相关领域的国际顶级期刊和会议上发表A类论文三十余篇，包括IEEE Trans on PAMI、IEEE Trans on IP、NeurIPS、ICLR、AAAI、IJCAI、ICCV、CVPR、ACMMM等，申请专利二十余项。同时担任多个人工智能领域国际顶级会议的审稿人，包括ICML、NeurIPS、AAAI、IJCAI、CVPR、ICCV等。获得中科院计算所优秀科研人员称号。 

工作经历 

2021年9月 — 今：中科院计算所，副研究员 

2019年7月 — 2021年9月：中科院计算所，助理研究员 

教育经历 

2013年9月 — 2019年7月：中科院计算所，硕博连读 

2009年9月 — 2013年7月：北京航空航天大学，数学与系统科学学院，本科生 

Google Scholar：https://scholar.google.com/citations?user=dse6jAsAAAAJ&hl=en 

DBLP：https://dblp.org/pid/60/2536-40.html 

会议文章： 

[1] Efficient Symbolic Policy Learning with Differentiable Symbolic Expression, Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen, Advances in Neural Information Processing Systems（NeurIPS）, 2023. （CCF A，第二作者，第一指导老师） 

[2] Learning Domain-Aware Detection Head with Prompt Tuning, Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen, Advances in Neural Information Processing Systems（NeurIPS）, 2023. （CCF A，第二作者，第一指导老师） 

[3] Context Shift Reduction for Offline Meta-Reinforcement Learning, Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen, Advances in Neural Information Processing Systems（NeurIPS）, 2023. （CCF A，第二作者，第一指导老师） 

[4] Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning, Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen, Advances in Neural Information Processing Systems（NeurIPS）, 2023. （CCF A，第二作者，第一指导老师） 

[5] Online Prototype Alignment for Few-shot Policy Transfer, Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen, International Conference on Machine Learning（ICML）, 2023. （CCF A，第二作者，第一指导老师） 

[6] Visual-Language Prompt Tuning with Knowledge-Guided Context Optimization, Hantao Yao, Rui Zhang, Changsheng Xu, IEEE International Conference on Computer Vision（ICCV）, 2023.（CCF A，第二作者） 

[7] Object-Category Aware Reinforcement Learning, Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen, Advances in Neural Information Processing Systems（NeurIPS）, 2022. （CCF A，第二作者，第一指导老师） 

[8] Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment, Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence（IJCAI）, 2021, pp. 2476-2482. （CCF A，第二作者，第一指导老师） 

[9] Distilling object detectors with feature richness, Du Zhixing, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen, Advances in Neural Information Processing Systems（NeurIPS）, 2021. （CCF A，第二作者，第一指导老师） 

[10] Domain-Specific Suppression for Adaptive Object Detection, Yu Wang, Rui Zhang, Shuo Zhang, Miao Li, YangYang Xia, XiShan Zhang, ShaoLi Liu, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition（CVPR）, 2021, pp. 9603-9612. （CCF A，第二作者，第一指导老师） 

[11] Scale-adaptive convolutions for scene parsing, Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, Shuicheng Yan, Proceedings of the IEEE International Conference on Computer Vision（ICCV）, 2017, pp. 2031-2039.（CCF A，第一作者） 

[12] Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions, Rui Zhang, Sheng Tang, Min Lin, Jintao Li, Shuicheng Yan, Proceedings of the 26th International Joint Conference on Artificial Intelligence（IJCAI）, 2017, pp. 3427-3433. （CCF A，第一作者） 

[13] High Resolution Feature Recovering for Accelerating Urban Scene Parsing, Rui Zhang, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, Shuicheng Yan, Proceedings of the 26th International Joint Conference on Artificial Intelligence（IJCAI）, 2018, pp. 1156-1162. （CCF A，第一作者） 

[14] Style Separation and Synthesis via Generative Adversarial Networks, Rui Zhang, Sheng Tang, Yu Li, Junbo Guo, Yongdong Zhang, Jintao Li, Shuicheng Yan, Proceedings of the 26th ACM international conference on Multimedia, 2018, pp. 183-191. （CCF A，第一作者） 

[15] Emergent Communication for Rules Reasoning, Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen, Advances in Neural Information Processing Systems（NeurIPS）, 2023. （CCF A，第三作者） 

[16] Conceptual Reinforcement Learning for Language-Conditioned Tasks, Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen, Proceedings of the 35th AAAI Conference on Artificial Intelligence（AAAI）, pp. 9426-9434. （CCF A，第三作者） 

[17] Online Symbolic Regression with Informative Query, Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen, Proceedings of the 35th AAAI Conference on Artificial Intelligence（AAAI）, pp. 5122-5130. （CCF A，第三作者） 

[18] Causality-driven Hierarchical Structure Discovery for Reinforcement Learning, Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen, Advances in Neural Information Processing Systems（NeurIPS）, 2022. （CCF A，第三作者） 

[19] Fixed-Point Back-Propagation Training, Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition（CVPR）, 2020, pp. 2330-2338. （CCF A，第三作者） 

[20] DWM: A Decomposable Winograd Method for Convolution Acceleration, Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen, Proceedings of the 34th AAAI Conference on Artificial Intelligence（AAAI）, pp. 4174-4181. （CCF A，第三作者） 

期刊文章: 

[1] Perspective-Adaptive Convolutions for Scene Parsing, Rui Zhang, Sheng Tang, Yongdong Zhang, Jintao Li, Shuicheng Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(4), 909-924.（CCF A，IF：24.314，第一作者） 

[2] A Decomposable Winograd Method for N–D Convolution Acceleration in Video Analysis, Di Huang, Rui Zhang, Xishan Zhang, Fan Wu, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li, Yunji Chen, International Journal of Computer Vision, 2021, pp. 1-21. （CCF A，第二作者，第一指导老师） 

[3] Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training, Chang Liu, Xishan Zhang, Rui Zhang, Ling Li, Shiyi Zhou, Di Huang, Zhen Li, Zidong Du, Shaoli Liu, Tianshi Chen, IEEE Transactions on Image Processing. （CCF A，IF：11.041，第三作者） 

[4] Asymmetric GAN for Unpaired Image-to-image Translation, Yu Li, Sheng Tang, Rui Zhang, Yongdong Zhang, Jintao Li, Shuicheng Yan, IEEE Transactions on Image Processing, 2019, 28(12), pp. 5881-5896. （CCF A，IF：11.041，第三作者） 

[5] CGNet: A Light-Weight Context Guided Network for Semantic Segmentation, Tianyi Wu, Sheng Tang, Rui Zhang, Juan Cao, Yongdong Zhang, IEEE Transactions on Image Processing, 2020, 30, pp. 1169-1179. （CCF A，IF：11.041，第三作者） 

[6] Consensus Feature Network for Scene Parsing, Tianyi Wu, Sheng Tang, Rui Zhang, Guodong Guo, IEEE Transactions on Multimedia, 2021. （CCF B，第三作者） 

著作： 

智能计算系统实验教程,机械工业出版社,2021-08,第4作者