I am a lecturer at Neuroscience and Intelligent Media Institute (NIMI), Communication University of China (CUC). My research interests include:
- Machine Learning: Meta-learning, continual learning, multimodal learning, knowledge graph, and model-based reinforcement learning.
- Computer vision : Few-shot image classification, face anti-spoofing.
- Neuroscience: Brain-inspired artificial intelligence.
- In 2021, I received my Ph.D. degree from College of automation, Northwestern Polytechnical University of China.
- In 2020, I joined JD AI Research as an research intern and worked with Dr.Jinfeng Yi and Prof. Cho-Jui Hsieh.
- In 2019, I joined AIBEE as an research intern and worked with Dr.Zitong Yu and Mr.Zezheng Wang.
- In 2017, I joined JD Digital technology as an research intern and worked with Mr.Chenxu Zhao.
There are several positions for research intern and Master student. The ideal applicant is self-motivated and has strong skills in both mathematics and programming. Please email me with your CV if you are interested in the opportunities.
Selected Publications [Google Scholar]
- Training Meta-Surrogate Model for Transferable Adversarial Attack, AAAI, 2023, (PDF)
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh - Consistency Regularization for Deep Face Anti-Spoofing, IEEE-TIFS, 2023, (PDF)
Zezheng Wang, Zitong Yu, Xun Wang, Yunxiao Qin, Jiahong Li, Chenxu Zhao, Zhen Lei, Xin Liu, Size Li, Zhongyuan Wang - Deep learning for face anti-spoofing: A survey, IEEE-TPAMI, 2022, (PDF)
Zitong Yu, Yunxiao Qin, Xiaobai Li, Chenxu Zhao, Zhen Lei, Guoying Zhao - Scale-Balanced Real-Time Object Detection with Varying Input-Image Resolution, IEEE-TCSVT, 2022.
Longbin Yan, Yunxiao Qin, Jie Chen - Adversarial Attack across Datasets, Arxiv, 2021, (PDF)
Yunxiao Qin, Yuanhao Xiong, Jinfeng Yi, Cho-Jui Hsieh - Meta-teacher for Face Anti-Spoofing, IEEE-TPAMI, 2021, (PDF)
Yunxiao Qin, Zitong Yu, Longbin Yan, Zezheng Wang, Chenxu Zhao, Zhen Lei - Dual-Cross Central Difference Network for Face Anti-Spoofing, IJCAI, 2021, (PDF)
Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao - Searching for Alignment in Face Recognition, AAAI, 2021, (PDF)
Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei - Prior-Knowledge and Attention-based Meta-Learning for Few-Shot Learning, Knowledge-based Systems, 2021, (PDF)
Yunxiao Qin, Weiguo Zhang, Chenxu Zhao, Zezheng Wang, Xiangyu zhu, et al.. - One-class adaptation face anti-spoofing with loss function search, Neurocomputing, 2020
Yunxiao Qin, Weiguo Zhang, Jingping Shi, Zezheng Wang, Longbin Yan - Nas-fas: Static-dynamic central difference network search for face anti-spoofing, IEEE-TPAMI, 2020, (PDF)
Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z Li, Guoying Zhao - Layer-Wise Adaptive Updating for Few-Shot Image Classification, IEEE-SPL, 2020
Yunxiao Qin, Weiguo Zhang, Zezheng Wang, Chenxu Zhao, Jingping Shi - Auto-Fas: Searching Lightweight Networks for Face Anti-Spoofing, ICASSP, 2020
Zitong Yu#, Yunxiao Qin#, Xiaqing Xu, Chenxu Zhao, Zezheng Wang, Zhen Lei, Guoying Zhao - Learning meta model for zero-and few-shot face anti-spoofing, AAAI, 2020, (PDF)
Yunxiao Qin, Chenxu Zhao, Xiangyu Zhu, Zezheng Wang, Zitong Yu, et al.. - Deep spatial gradient and temporal depth learning for face anti-spoofing, CVPR, 2020, (PDF)
Zezheng Wang, Zitong Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, et al.. - Searching Central Difference Convolutional Networks for Face Anti-Spoofing, CVPR, 2020, (PDF)
Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, et al..