个人简介
博士，北京航空航天大学人工智能研究院副教授。主要研究方向为开放认知推理，在相关方向发表国际权威学术期刊和顶级会议论文25篇，申请专利十余项，参与标准编制1项、专著编写3本。承担科技部人工智能重大专项子课题、国家自然科学基金青年基金、百度松果基金等多个课题，作为核心成员参与科技部重点研发计划、国防创新特区重点项目等课题，获专函表扬；构建领域基准集，受到全球百余所机构的学者关注和使用，牵头组织国际人工智能会议IJCAI 开放认知研讨会及挑战赛；获北京发明创新大赛铜奖、腾讯犀牛鸟精英人才、北京市优秀毕业生、国家奖学金等奖励。
教育经历
2015.9 -- 2021.6 北京航空航天大学 计算机学院 博士研究生 博士学位
2010.9 -- 2015.6 山东大学 ＞ 计算机科学与技术学院 大学本科 学士学位
工作经历
2023.9 -- 至今 北京航空航天大学 人工智能研究院 副教授
2021.6 -- 2023.9 北京航空航天大学 计算机学院 博士后
Main Awards & Honors
Bronze Award of Beijing Invention and Innovation Competition (134/1600), 2022.12
Outstanding Graduates of Beijing, Beihang University, 2021.06
top 40 in the 2020 Baidu Scholarship, BaiDu, 2020.05
the Academic Excellence Foundation of BUAA for PhD Students, Beihang University, 2020.06
National Scholarship, China, 2019.09
Tencent Rhino-Bird Elite Training Program, Tencent, 2018
IJCAI-18 Travel Grant, IJCAI, 2018.07
First-grade Excellent Study Scholarship, Beihang University, 2018.09
Second-grade Excellent Study Scholarship, Beihang University, 2017.09
Second-grade Excellent Study Scholarship, Beihang University, 2016.09
研究领域
My research interests mainly focus on open-world cognitive inference and artificial intelligence:
Open World Recognition: Open-World Object Detection for natural images, Object Detection for X-ray Security Inspection
Generative Adversarial Network: Image Editing, Adversarial Example, Adversarial Training
Few-Shot Learning: Meta-Learning, Metric-Learning
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Conference Papers
Annealing-based Label-Transfer Learning for Open World Object Detection. Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo,Shanghang Zhang, Ruihao Gong, Xianglong Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.
A Meaningful Learning Method for Zero-shot Semantic Segmentation. Xianglong Liu, Shihao Bai, Shan An, Shuo Wang, Wei Liu, Xiaowei Zhao, Yuqing Ma?(? corresponding author) SCIENCE CHINA Information Sciences, 2023.
Revisiting Open World Object Detection. Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma?, Duorui Wang(? corresponding author) Arxiv, 2022.
Towards Real-world X-ray Security Inspection: A High-quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection. Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu. IEEE International Conference on Computer Vision (ICCV’2021).
Stratified Rule-Aware Network for Abstract Visual Reasoning. Sheng Hu*, Yuqing Ma*, Xianglong Liu, Yanlu Wei, Shihao Bai (* equal contribution) Proceedings of the AAAI Conference on Artificial Intelligence (AAAI’2021).
Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module. Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu ACM International Conference on Multimedia (ACM MM’20).
Spatiotemporal Attacks for Embodied Agents. Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen Maybank, Dacheng Tao European Conference on Computer Vision (ECCV’20).
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration. Yuqing Ma, Shihao Bai, Wei Liu, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu International Joint Conference on Artificial Intelligence (IJCAI’20)
Transductive Relation-Propagation Network for Few-shot Learning. Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu International Joint Conference on Artificial Intelligence (IJCAI’20)
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He and Aishan Liu. International Joint Conference on Artificial Intelligence (IJCAI’19), Macao, China, 2019.
Perceptual Sensitive GAN for Generating Adversarial Patches. Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie and Dacheng Tao. AAAI Conference on Artificial Intelligence (AAAI’19), Honolulu, Hawaii, USA, 2019.
Progressive Generative Hashing for Image Retrieval. Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu. International Joint Conference on Artificial Intelligence (IJCAI’18), Stockholm, Sweden, 2018.
Temporal Binary Coding for Large-scale Video Search. Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu and Li Liu. ACM International Conference on Multimedia (ACM MM’17), Mountain View, California, USA, 2017.
Journal Papers
Temporal Speciation Network for Few-Shot Object Detection. Xiaowei Zhao, Xianglong Liu, Yuqing Ma? , Shihao Bai, Yifan Shen, Zeyu Hao, Aishan Liu (? corresponding author) IEEE TRANSACTIONS ON MULTIMEDIA, (TMM), 2022.
A Comprehensive Evaluation Framework for Deep Model Robustness. Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma , Zehao Zhao, Xing Gao, Gang Xiao Pattern Recognition, (PR), 2023.
ARCosmetics: a real-time augmented reality cosmetics try-on system. Shan An, Jianye Chen, Zhaoqi Zhu, Fangru Zhou, Yuxing Yang, Yuqing Ma , Xianglong Liu, Haogang Zhu Frontiers of Computer Science, (FCS), 2022.
Few-shot learning with relation propagation and constraint. Huiyun Gong,Shuo Wang,Xiaowei Zhao,Yifan Yan,Yuqing Ma? ,Wei Liu,Xianglong Liu (? corresponding author) IET Computer Vision, (IET), 2021.
Transductive Relation-Propagation with DecouplingTraining for Few-Shot Learning. Yuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Bai, Xianglong Liu. IEEE Transactions on Neural Networks and Learning Systems, (TNNLS), 2021.
Boosting Temporal Binary Coding for Large-scale Video Search. Yan Wu, Xianglong Liu, Haotong Qin, Ke Xia, Sheng Hu, Yuqing Ma, Meng Wang IEEE TRANSACTIONS ON MULTIMEDIA, (TMM), 2020.
Interpreting and Improving Adversarial Robustness of Deep Neural Networks with Neuron Sensitivity. Chongzhi Zhang*, Aishan Liu*, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li (* indicates equal contributions) IEEE Transactions on Image Processing (TIP), 2020.
Region-wise Generative Adversarial Image Inpainting for Large Missing Areas. Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock. IEEE Transactions on Cybernetics (TCYB’2022).
A General Non-parametric Active Learning Framework for Classification on Multiple Manifolds. Lei Huang, Yuqing Ma, Xianglong Liu. Pattern Recognition Letters (PRL’2019).
京公网安备 11010802027423号