Min WangAssociate Research Fellow Institute of Artificial Intelligence, Hefei Comprehensive National Science Center Research Interest: Multimedia Information Retrieval Email: wangmin@iai.ustc.edu.cn |
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Education & Work Experience
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2010/08 ~ 2014/06 B.S in Electronic Engineering and Information Science, University of Science and Technology of China
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2014/09 ~ 2019/06 Ph.D in Signal and Information Processing, University of Science and Technology of China
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2019/07 ~ 2020/11 Senior Engineer in Huawei Technologies Co. Ltd
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2020/11 ~ present Associate Research Fellow in Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
Publication
- Xin Yao, Min Wang, Wengang Zhou, and Houqiang Li, “Hash Bit Selection with Reinforcement Learning for Image Retrieval,” Accepted to IEEE Transactions on Multimedia (TMM), September 2022.
- Hui Wu, Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Contextual Similarity Distillation for Asymmetric Image Retrieval,” Accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
- Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Graph Convolutional Quantization Networks for Image Retrieval,” Accepted to IEEE Transactions on Multimedia (TMM), January 2022.
- Hui Wu, Min Wang, Wengang Zhou, Yang Hu, and Houqiang Li, “Learning Token-based Representation for Image Retrieval,” Accepted to AAAI Conference on Artificial Intelligence (AAAI), 2022.
- Jianbo Ouyang, Hui Wu, Min Wang, Wengang Zhou, and Houqiang Li, “Contextual Similarity Aggregation with Self-attention for Visual Re-ranking,” Accepted to The Conference on Neural Information Processing Systems (NeurIPS), 2021.
- Hui Wu, Min Wang, Wengang Zhou, and Houqiang Li, “Learning Deep Local Features with Multiple Dynamic Attentions for Large-Scale Image Retrieval,” International Conference on Computer Vision (ICCV), pp. 11416-11425, 2021.
- Yuchen Yang, Min Wang, Wengang Zhou, and Houqiang Li, “Cross-modal Joint Prediction and Alignment for Composed Query Image Retrieval,” ACM International Conference on Multimedia (ACM MM), pp. 3303-3311, 2021.
- Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Enhanced Weakly-Supervised Hashing with Iterative Tag Refinement,” Accepted to IEEE Transactions on Multimedia (TMM), May 2021.
- Yifan Zhang, Wengang Zhou, Min Wang, Qi Tian, and Houqiang Li, “Deep Relation Embedding for Cross-Modal Retrieval,” IEEE Transactions on Image Processing (TIP), 30: 617-627, 2021.
- Jianbo Ouyang, Wengang Zhou, Min Wang, Qi Tian, and Houqiang Li, “Collaborative Image Relevance Learning for Visual Re-ranking,” IEEE Transactions on Multimedia (TMM), 23: 3646-3656, 2021.
- Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Neighborhood Pyramid Preserving Hashing,” IEEE Transactions on Multimedia (TMM), 22(6): 1507-1518, 2020.
- Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Deep Scalable Supervised Quantization by Self-Organizing Map,” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), vol. 15, no. 3, pp. 1-18, 2019.
- Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “A General Framework for Linear Distance Preserving Hashing,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 2, pp. 907-922, 2018.
- Min Wang, Wengang Zhou, Qi Tian, Junfu Pu, and Houqiang Li, “Deep Supervised Quantization by Self-Organized Map,” ACM International Conference on Multimedia (MM), Long Paper, 2017.
- Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Sparse Matrix based Hashing for Approximate Nearest Neighbor Search,” Pacific-Rim Conference on Multimedia (PCM), pp. 559-568, June 2016.
- Min Wang, Wengang Zhou, Qi Tian, Zheng-jun Zha, and Houqiang Li, “Linear Distance Preserving Pseudo-Supervised and Unsupervised Hashing,” ACM International Conference on Multimedia (MM), pp. 1257-1266, long paper, 1257-1266, 2016.
Grant & Award
项目主持:“意图适配的深度多特征索引研究”,国家自然科学基金/青年项目,2022/01-2024/12.