Min Wang Associate Research Fellow Institute of Artificial Intelligence, Hefei Comprehensive National Science Center Research Interest: Multimedia Information Retrieval Email: wangmin@iai.ustc.edu.cn

Education & Work Experience

• 2010/08 ~ 2014/06 B.S in Electronic Engineering and Information Science, University of Science and Technology of China

• 2014/09 ~ 2019/06 Ph.D in Signal and Information Processing, University of Science and Technology of China

• 2019/07 ~ 2020/11 Senior Engineer in Huawei Technologies Co. Ltd

• 2020/11 ~ present Associate Research Fellow in Institute of Artificial Intelligence, Hefei Comprehensive National Science Center

Publication

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. Min Wang, Wengang Zhou, Qi Tian, and Houqiang Li, “Neighborhood Pyramid Preserving Hashing,” IEEE Transactions on Multimedia (TMM), 22(6): 1507-1518, 2020.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.