个人简介

汪琦，博士，现为南昌大学数学与计算机学院计算机科学与技术系讲师，硕士研究生导师。主要从事计算机视觉、跨模态检索、多模态预训练、目标重识别等领域的研究。主持和参与国家自然科学基金、江西省自然科学基金等多个纵向课题。在人工智能领域的主流期刊和会议上发表论文20余篇，其中包括IEEE TMM、IEEE TCSVT、PR、TOMM、ESWA等。

科研项目

2025.01-2028.12   国家自然科学基金(地区项目)   31万   主持

2023.07-2026.06   江西省自然科学基金(面上项目)   10万   主持

2023.01-2025.12   江西省自然科学基金(青年项目)   10万   主持

2023.07-2026.06   南昌大学青年人才培育创新基金   20万   主持

学术论文

(* 通讯作者)

[22] Qi Wang, Dong Wang, Weidong Min, et al. "Threefold Encoder Interaction: Hierarchical Multi-grained Semantic Alignment for Cross-modal Food Retrieval". IEEE Transactions on Multimedia, 27: 2848-2862, 2025. (SCI一区, Top期刊,)

[21] Qi Wang, Yuling Zhong, Weidong Min, et al. "Dual Similarity Pre-training and Domain Difference Encouragement Learning for Vehicle Re-identification in the Wild". Pattern Recognition, 139:109513, 2023. (SCI一区, Top期刊)

[20] Qi Wang, Weidong Min, Qing Han, et al. "Inter-Domain Adaptation Label for Data Augmentation in Vehicle Re-identification". IEEE Transactions on Multimedia, 24: 1031-1041, 2021. (SCI一区, Top期刊)

[19] Qi Wang, Weidong Min, Qing Han, et al. "Viewpoint Adaptation Learning with Cross-view Distance Metric for Robust Vehicle Re-Identification ". Information Sciences, 564:71-84, 2021. (SCI二区)

[18] Qi Wang, Weidong Min, Daojing He, et al. "Discriminative fine-grained network for vehicle re-identification using two-stage re-ranking". SCIENCE CHINA Information Sciences, 63(11): 1-12, 2020. (SCI一区, Top期刊)

[17] Dong Wang, Qi Wang*, Zhiwei Tu, et al. "Vision-language constraint graph representation learning for unsupervised vehicle re-identification". Expert Systems With Applications, 255:124495, 2024. (SCI一区, Top期刊)

[16] Haoyu Zhao, Qi Wang, Guowei Zhan, et al. "Need only one more point (NOOMP): perspective adaptation crowd counting in complex scene". IEEE Transactions on Multimedia, 25:1414-1426, 2022. (SCI一区, Top期刊)

[15] Xin Xiong, WeidongMin, Qi Wang, et al. "Human Skeleton Feature Optimizer and Adaptive Structure Enhancement Graph Convolution Network for Action Recognition". IEEE Transactions on Circuits and Systems for Video Technology, 33(1): 342-353, 2022. (SCI一区, Top期刊)

[14] Zitai Wei, Weidong Min, Qi Wang, et al. "ECNFP: Edge-constrained Network Using Feature Pyramid for Image Inpainting". Expert Systems with Applications, 207:118070, 2022. (SCI一区, Top期刊)

[13] Sheng Wang, Qi Wang, Weidong Min, et al. "Trade-off background joint learning for unsupervised vehicle re-identification". The Visual Computer, 39: 3823–383, 2023. (SCI三区)

[12] Dong Wang, Qi Wang, Weidong Min, et al. "SAM-driven MAE Pre-training and Background-aware Meta-learning for Unsupervised Vehicle Re-identification". Computational Visual Media, 10 (4): 771-789, 2024. (SCI二区)

[11] Jiyang Xu, Qi Wang*, Xin Xiong, et al. "Pseudo Label Purification with Dual Contrastive Learning for Unsupervised Vehicle Re-Identification". CMC-Computers Materials & Continua, 82(3), 3921-3941, 2025. (SCI四区)

[10] Meng Zhu, Weidong Min, Qi Wang, et al. "PFLU and FPFLU: Two novel non-monotonic activation functions in convolutional neural networks". Neurocomputing, 429: 110-117, 2021. (SCI二区)

[9] Qing Han, Longfei Li, Weidong Min, Qi Wang, Qingpeng Zeng, Shimiao Cui and Jiongjin Chen. "Joint Training with Local Soft Attention and Dual Cross-neighbor Label Smoothing for Unsupervised Person Re-identification", Computational Visual Media, 10 (3): 543-558, 2024. (SCI二区)

[8] Qing Han, Huiting Liu, Weidong Min, Tiemei Huang, Deyu Lin, and Qi Wang. "3D Skeleton and two streams approach to person re-identification using optimized region matching". ACM Transactions on Multimedia Computing Communications and Applications, 18(2s):1-17, 2022. (SCI三区)

[7] Haoyu Zhao, Weidong Min, Jianqiang Xu, Qing Han, Wei Li, Qi Wang, Ziyuan Yang, and Linghua Zhou. "SPACE: finding key-speaker in complex multi-person scenes". IEEE Transactions on Emerging Topics in Computing, 10(3): 1645-1656, 2021. (SCI二区)

[6] Di Gai, Runyang Feng, Weidong Min, Xiaosong Yang, Pengxiang Su, Qi Wang and Qing Han. "Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation", IEEE Transactions on Circuits and Systems for Video Technology, 33(9): 4564-4576, 2023. (SCI一区, Top期刊)

[5] Cheng Zha, Weidong Min, Qing Han, Xin Xiong, Qi Wang, and Qian Liu. "Multiple Granularity Spatiotemporal Network for Sea Surface Temperature Prediction". IEEE Geoscience and Remote Sensing Letters, 19: 1-5, 2022. (SCI三区)

[4] Weidong Min, Ruikang Liu, Daojing He, Qing Han, Qingting Wei, and Qi Wang. "Traffic sign recognition based on semantic scene understanding and structural traffic sign location". IEEE Transactions on Intelligent Transportation Systems, 23(9):15794-15807, 2022. (SCI一区, Top期刊)

[3] Zheng Huang, Di Gai, Weidong Min, Qi Wang and Lixin Zhan. "Dual-stream-based dense local features contrastive learning for semi-supervised medical image segmentation". Biomedical Signal Processing and Control, 2024, 88: 105636.  (SCI二区)

[2] Di Gai, Yuhan Geng, Xia Huang, Zheng Huang, Xin Xiong, Ruihua Zhou, Qi Wang. "Feature ensemble network for medical image segmentation with multi-scale atrous transformer". IET Image Processing, 2024, 18(11): 3082-3092.  (SCI四区)

[1] Di Gai, Jiqian Zhang, Yusong Xiao, Weidong Min, Hui Chen, Qi Wang, Pengxiang Su and Zheng Huang. "GL-Segnet: Global-Local representation learning net for medical image segmentation". Frontiers in Neuroscience, 2023, 17: 1153356.  (SCI三区)

招生信息

本课题组的研究方向为计算机视觉、跨模态检索、多模态预训练和目标重识别。现招收计算机专业的本科生和研究生。

若您加入课题组，导师将提供 “从0到1” 的基础理论指导，定期围绕研究课题展开讨论并随时解答疑问，同时为实验开展提供必要的算力支持。

我们希望加入课题组的学生能够具备以下能力：

l一定的代码编程能力（如 Python）；

l熟悉至少一种深度学习框架（如 PyTorch）；

l一定的文献检索与阅读能力；

l科研自驱力，能跟进最新的研究热点，及时与导师讨论科研进展。

若您对本课题组的研究方向感兴趣，且符合上述要求，欢迎通过邮件联系：wangqi@ncu.edu.cn