姓名：秦云霄
职称 / 硕（博）导：硕导
学硕招生专业 / 方向：信息与通信工程 / 信息网络与大数据
专硕招生专业 / 方向：人工智能 / 信息网络与大数据
主要研究领域：AIGC、大语言模型训练与推理、面向具身智能的多模态大模型、类人智能体
电子邮箱Email：qinyunxiao@cuc.edu.cn
个人简介
秦云霄，中国传媒大学媒体融合与传播国家重点实验室副高级研究员，硕导，中国人工智能协会会员，青年拔尖人才。2021年博士毕业于西北工业大学-自动化学院，获得模式识别与智能系统博士学位，同年9月加入中国传媒大学工作。与国内外顶级高校或科研机构（如美国UCLA、中科院自动化所等）深入合作，并曾供职于国内互联网头部大厂。
主要研究方向包括深度学习、人工智能内容生成（AIGC）、大语言模型后训练与高效推理、面向具身智能的多模态大模型训练、脑启发的类人智能体、通用人工智能、元学习、强化学习等。
在科研项目方面，主持一项国家自然科学基金青年项目，主持一项北京智源人工智能研究院悟道科研基金项目，一项媒体融合与传播国家重点实验室专项项目。
在学术方面，在国际顶级期刊或顶级会议（IEEE-TPAMI，IEEE-TIFS，CVPR，AAAI，IJCAI，IEEE TCSVT等）上发表过多篇论文，单篇论文影响力因子最高24.3，谷歌学术总被引用量2000余次。
另外受邀作为国际顶级期刊或顶级会议审稿人，包括IEEE-TPAMI、IJCV、CVPR、AAAI、IEEE-TIFS、IEEE-TMM、KDD、IEEE TMI等。受邀作为SCI三区期刊Electronics编辑。
谷歌学术主页：https://scholar.google.com/citations?user=EMEy3gwAAAAJ&hl=zh-CN
承担的主要科研项目
[1] 国家自然科学青年基金项目，62206259，逐层自适应更新的元学习：分析解释及在连续学习中的应用，在研，主持，30万。
[2] 北京智源人工智能研究院-悟道科研基金，已结项，主持，50万。
[3] 媒体融合与传播国家重点实验室专项项目，面向个性化对话智能体的属性可控文本生成技术研究，在研，主持，8万。
[4] 媒体融合与传播国家重点实验室专项项目，智能体驱动的社会角色观点生成与分析，在研，骨干人员，15万。
代表性学术成果
[1] Jiahong Zhang，Lihong Cao, Qiuxia Lai, Bingyao Li, Yunxiao Qin. Bifrnet: A brain-inspired feature restoration dnn for partially occluded image recognition. (AAAI, 2023, CCF-A)
[2] Zezheng Wang, Zitong Yu, Xun Wang, Yunxiao Qin, Jiahong Li, Chenxu Zhao, Xin Liu, Zhen Lei. Consistency regularization for deep face anti-spoofing. (IEEE-TIFS, 2023, CCF-A,中科院一区SCI)
[3] Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh. Training Meta-Surrogate Model for Transferable Adversarial Attack (AAAI, 2023, CCF-A).
[4] Zitong Yu, Yunxiao Qin, Xiaobai Li, Chenxu Zhao, Zhen Lei, Guoying Zhao. Deep learning for face anti-spoofing: A survey (IEEE-TPAMI, 2023, CCF-A, 中科院一区SCI, IF=24.3)
[5] Longbin Yan, Yunxiao Qin, Jie Chen. Scale-balanced real-time object detection with varying input-image resolution (IEEE TCSVT, 2022, 中科院一区SCI)
[6] Yunxiao Qin, Zitong Yu, Longbin Yan, Zezheng Wang, Chenxu Zhao, Zhen Lei. Meta-teacher for Face Anti-Spoofing (IEEE-TPAMI, 2022, CCF-A, 中科院一区SCI, IF=24.3)
[7] Zitong Yu, Yunxiao Qin*, Hengshuang Zhao, Xiaobai Li, Guoying Zhao. Dual-Cross Central Difference Network for Face Anti-Spoofing (IJCAI, 2021, CCF-A)
[8] Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei. Searching for Alignment in Face Recognition (AAAI, 2021, CCF-A)
[9] Yunxiao Qin, Weiguo Zhang, Chenxu Zhao, Zezheng Wang, Xiangyu zhu, Guojun Qi, Jingping Shi, Zhen Lei. Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning (Knowledge-based systems, 2021, 中科院一区SCI)
[10] Yunxiao Qin, Weiguo Zhang, Jingping Shi, Zezheng Wang, Longbin Yan. One-class adaptation face anti-spoofing with loss function search (Neurocomputing, 2020, 中科院二区SCI)
[11] Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z Li, Guoying Zhao. Nas-fas: Static-dynamic central difference network search for face anti-spoofing (IEEE TPAMI, 2020, CCF-A, 中科院一区SCI, IF=24.3)
[12] Yunxiao Qin, Weiguo Zhang, Zezheng Wang, Chenxu Zhao, Jingping Shi. Layer-Wise Adaptive Updating for Few-Shot Image Classification (IEEE SPL, 2020, 中科院二区SCI)
[13] Yunxiao Qin, Chenxu Zhao, Xiangyu Zhu, Zezheng Wang, Zitong Yu, Tianyu Fu, Feng Zhou, Jingping Shi, Zhen Lei, Learning Meta Model for Zero- and Few-shot Face Anti-spoofing. （AAAI，2020，CCF-A）
[14] Zitong Yu, Yunxiao Qin*, Xiaqing Xu, Chexu Zhao, Zezheng Wang, Guoying Zhao, Zhen Lei, Auto-FAS: Searching Lightweight Networks for Face Anti-Spoofing （ICCASP，2020，CCF-B）
[15] Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao, Searching Central Difference Convolutional Networks for Face Anti-Spoofing（CVPR，2020，CCF-A）
[16] Zezheng Wang, Zitong, Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, Qiusheng Zhou, Feng Zhou, Zhen Lei, Deep spatial gradient and temporal depth learning for face anti-spoofing（CVPR，2020，CCF-A）
[17] Zitong Yu, Yunxiao Qin, Xiaobai Li, Zezheng Wang, Chenxu Zhao, Zhen Lei, Guoying Zhao, Multi-Modal Face Anti-Spoofing Based on Central Difference Networks （CVPR Workshop，2020）
[18] Jinglong Liu, Weiguo Zhang, Xiaoxiong Liu, Qizhi He, Yunxiao Qin, Gust response stabilization for rigid aircraft with multi-control-effectors based on a novel integrated control scheme (Aerospace Science and Technology, 2019，中科院一区SCI)
[19] Yunxiao Qin, Weiguo Zhang, Jingping Shi, Jinglong Liu, Improve PID controller through reinforcement learning（IEEE CGNCC，2018）
[20] Jinglong Liu, Weiguo Zhang, Xiaoxiong Liu, Yunxiao Qin, Gust load alleviation of aircraft with multiple control effectors in the cruise phase based on L1 adaptive nonlinear dynamic inversion and control allocation （IEEE CGNCC，2018）