Dayan Wu 吴大衍
Associate Professor, Ph.D.
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Dayan Wu received the BSc degree from Huazhong University of Science and Technology (HUST) in 2014, and the PhD degree from University of Chinese Academy of Sciences (UCAS) in 2019. From 2018 to 2019, he worked as a research intern in Microsoft Research Asia (MSRA). Since July 2019, he has joined Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS) as an associate professor. He has obtained awards such as the Presidential Excellent Award of CAS, Outstanding Graduates of UCAS and Beijing, Nomination of Excellent Doctoral Thesis of CAS, First prize for Science and Technology Progress Award of the Ministry of Education. He is also a member of Youth Committee of CICC and Youth Innovation Promotion Association, CAS.
My research interest is to apply deep learning and cryptographic technologies to build efficient and secure systems for large-scale multimedia processing. My current focus is large-scale multimedia retrieval, which aims to:
* denotes the corresponding author
Dayan Wu, Qinghang Su, Bo Li and Weiping Wang, Efficient Hash Code Expansion by Recycling Old Bits, ACM International Conference on Multimedia (ACM MM, CCF-A), accepted, 2022. PDF
Pingting Hong, Dayan Wu*, Bo Li and Weiping Wang, Camera-specific Informative Data Augmentation Module for Unbalanced Person Re-identification, ACM International Conference on Multimedia (ACM MM, CCF-A), accepted, 2022. PDF
Lin Wang, Wanqian Zhang*, Dayan Wu, Fei Zhu and Bo Li, Attack is the Best Defense: Towards Preemptive-Protection Person Re-Identification, ACM International Conference on Multimedia (ACM MM, CCF-A), accepted, 2022. PDF
Wei Wang, Yu Zhou*, Jiahao Lv, Dayan Wu, Guoqing Zhao, Ning Jiang and Weiping Wang, TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation, ACM International Conference on Multimedia (ACM MM, CCF-A), accepted, 2022. PDF
Dayan Wu, Qi Dai, Bo Li, and Weiping Wang, Deep Uncoupled Discrete Hashing via Similarity Matrix Decomposition, ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM, SCI一区), accepted, 2022. PDF
Xiaohua Chen, Yucan Zhou*, Dayan Wu, Yu Zhou, Bo Li, and Weiping Wang, Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification, AAAI Conference on Artificial Intelligence (AAAI, CCF-A), accepted, 2022. PDF
Shuai Cheng, Yucan Zhou*, Wanqian Zhang, Dayan Wu, Chule Yang, Bo Li, and Weiping Wang, Uncertainty-Aware and Multi-Granularity Consistent Constrained Model for Semi-Supervised Hashing, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT, SCI一区), accepted, 2022. PDF
Wanqian Zhang, Dayan Wu*, Yu Zhou, Bo Li, Weiping Wang, and Dan Meng, Binary Neural Network Hashing for Image Retrieval, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, CCF-A), 317-326, 2021. PDF
Shu Zhao, Dayan Wu*, Yucan Zhou, Bo Li, and Weiping Wang, Rescuing Deep Hashing from Dead Bits Problem, International Joint Conference on Artificial Intelligence (IJCAI, CCF-A), 1338-1344, 2021. PDF
Wanqian Zhang, Dayan Wu*, Yu Zhou, Bo Li, Weiping Wang, and Dan Meng, Deep unsupervised hybrid-similarity hadamard hashing, ACM International Conference on Multimedia (ACM MM, CCF-A), 3274-3282, 2020. PDF
Shu Zhao, Dayan Wu*, Wanqian Zhang, Yu Zhou, Bo Li, and Weiping Wang, Asymmetric Deep Hashing for Efficient Hash Code Compression, ACM International Conference on Multimedia (ACM MM, CCF-A), 763-771, 2020. PDF
Dejie Yang, Dayan Wu*, Wanqian Zhang, Haisu Zhang, Bo Li, and Weiping Wang, Deep semantic-alignment hashing for unsupervised cross-modal retrieval, ACM International Conference on Multimedia Retrieval (ICMR, CCF-B), 44-52, 2020. PDF
Dayan Wu, Qi Dai, Jing Liu, Bo Li, and Weiping Wang, Deep incremental hashing network for efficient image retrieval, IEEE/CVF conference on computer vision and pattern recognition (CVPR, CCF-A), 9069-9077, 2019. PDF
Dayan Wu, Jing Liu, Bo Li, and Weiping Wang, Deep index-compatible hashing for fast image retrieval, IEEE International Conference on Multimedia and Expo (ICME, CCF-B), 1-6, 2018. PDF
Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, and Weiping Wang, Deep supervised hashing for multi-label and large-scale image retrieval, ACM International Conference on Multimedia Retrieval (ICMR, CCF-B), 150-158, 2017. PDF
2021 EPIC-KITCHENS Dataset Challenges: Our team (Xiaoshuai Hao, Wanqian Zhang, Dejie Yang, Shu Zhao, Dayan Wu, Bo Li, Weiping Wang) is the winner of the task: Multi-instance Action Retrieval. |
2022 EPIC-KITCHENS Dataset Challenges: Our team (Xiaoshuai Hao, Yufan Liu, Wanqian Zhang, Dayan Wu, Bo Li) is the third place of the task: Multi-instance Action Retrieval. |
中国科学院青年创新促进会,主持,80万,2022-2024
国家自然科学基金青年基金,主持,“面向视觉大数据搜索的弹性可扩展深度哈希技术研究”,30万,2022-2024
国家重点研发计划子课题,主持,“富媒体数据快速处理技术研究”,88万,2019-2022
国家重点研发计划子课题,主持,“多模态数据高效处理技术研究”,126万,2019-2022
2021, 中国科学院青年创新促进会会员
2020, 教育部科技进步一等奖
2020, 中科院优博提名
2019, 中科院信工所优秀青年引进人才
2017, 中科院院长优秀奖
Wanqian Zhang, 2017-2021, IIE-CAS
Jing Liu, 2016-2019, Huawei
Wen Gu, 2017-2020, Microsoft
Zhi Xiong, 2017-2020, YY Inc
Dejie Yang, 2018-2021, PhD student in Peking University
Shu Zhao, 2018-2021, PhD student in Pennsylvania State University
Meixue Huang, 2018-2021, Chasing Financial
Pingting Hong, 2019-2022, Baidu