王崎
区域治理与大数据智能计算中心
教授，硕导
电子邮箱：qiwang@gzu.edu.cn
个人简介
王崎，特聘教授，硕士生导师，目前就职于贵州大学公共大数据国家重点实验室，清华大学访问学者，获得贵州省高层次留学人才项目，贵阳贵安科技人才项目，贵州大学科研创新团队负责人。长期从事计算机视觉和智慧农业的相关研究，截至至今作为第一或者通讯作者发表SCI论文22篇，其中CCF A类和SCI 1区论文共计15篇，所发表的学术期刊论文累计影响因子（IF）>150，主持承担了1项国家自然科学基金，以及 3 项省部级课题，曾多次获得了国际国内的知名科研竞赛奖项，获多项中国发明专利授权。指导本科生发表SCI 1区论文并获国家级大学生创新创业项目1项，获得全国大学生挑战杯（大挑）全国特等奖1项以及若干国家级省级校级竞赛奖励。此外，担任 Plant Phenomics 期刊青年编委，20多个国际顶级会议和期刊的审稿人，如TCYB,TNNLS,TMM,TKDD,ACMMM,Plant Phenomics等等。主持并完成了一项比利时国际双边科学合作项目，为中比双方科研合作奠定了良好的基础。当前依托国家重点实验室的优势与清华大学、香港科技大学、中国科学技术大学相关团队老师共同联合指导学生，共同助力学生论文的发表和产出。
科学研究
发表论文
[1] Jinxiang Zhu, Qi Wang*, et al. FSNA: Few - Shot Object Detection via Neighborhood Information Adaption and All Attention. IEEE Transactions on Circuits and Systems for Video Technology, 2024. (通讯作者，IF: 8.4, CCF B, SCI 1, Top)
[2] Han Chen, Qi Wang*, et al. SD - FSOD: Self - Distillation Paradigm via Distribution Calibration for Few - Shot Object Detection. IEEE Transactions on Circuits and Systems for Video Technology, 2023. (通讯作者，IF: 8.4, CCF B, SCI 1, Top)
[3] Xue Wu, Daohong Gong, Kejun Zhao, Dongyu Chen, Yangyang Gao, Qi Wang*, et al. Global research and development trends in plant growth regulators. Advanced Agrochem, 2023.11. (通讯作者)
[4] Yanming Miao, Xianghong Tang, Qi Wang*, Liya Yu. GDENet: Graph Differential Equations Network for Traffic Flow Prediction. International Journal of Intelligent Systems, 2023 (通讯作者，IF: 7.0, SCI 2)
[5] Xinyu Dong#, Kejun Zhao#, Qi Wang#, et al. PlantPAD: a platform for large - scale image phenomics analysis of disease in plant science. Nucleic Acids Research, 2023.10. (共一和通讯，IF: 14.9, SCI 2, Top)
[6] Xingcai Wu, Kejun Zhao, Qianding Huang, Qi Wang, et al. MISL: Multi - grained Image - text Semantic Learning for Text - guided Image Inpainting. Pattern Recognition, 2024,145:109961. (通讯作者，IF: 8.0, SCI 1, CCF B, Top)
[7] Ting Wen, Jian - Hong Li, Qi Wang*, et al. Thermal imaging: The digital eye facilitates high - throughput phenotyping traits of plant growth and stress responses. Science of The Total Environment, 2023, 899:165626. (通讯作者，IF: 9.8, SCI 1, Top)
[8] Qianding Huang, Xingcai Wu, Qi Wang*, et al. Knowledge Distillation Facilitates the Lightweight and Efficient of Plant Diseases Detection Model. Plant Phenomics, 2023, 5:0062. (通讯作者，IF: 6.961, SCI 1, Top)
[9] Xinyu Dong, Qi Wang*, et al. PDDD - PreTrain: A series of common - used pre - trained models support image - based plant disease diagnosis. Plant Phenomics, 2023, 5:0054. (通讯作者，IF: 6.961, SCI 1, Top)
[10] Haolin Chen, Qi Wang*, et al. ALFPN: Adaptive Learning Feature Pyramid Network for Small Object Detection. International Journal of Intelligent Systems, 2023, 04:6266209. (通讯作者，IF: 8.993, SCI 1, Top)
[11] Xue Wu, Hongyu Deng, Qi Wang*, et al. Meta - learning Shows Great Potential in Plant Diseases Recognition Under Few Available Samples. The Plant Journal, 2023, 03. (通讯作者，IF: 7.091, SCI 1, Top)
[12] Qi Wang, et al. AA - Trans: Core Attention Aggregating Transformer with Information Entropy Selector for Fine - grained Visual Classification. Pattern Recognition, 2023, 140:109547. (第一作者，IF: 8.518, SCI 1, CCF B, Top)
[13] Huizhou Zhou, Haoliang Zhao, Qi Wang*, et al. Miper - MVS: Multi - scale Iterative Probability Estimation with Refinement for Efficient Multi - View Stereo. Neural Networks, 2023, 164: 351 - 362. (通讯作者，IF: 9.657, SCI 1, CCF B, Top)
[14] Qi Wang, et al. LCM - Captioner: A Lightweight Text - based Image Captioning method with Collaborative Mechanism between Vision and Text. Neural Networks, 2023, 162: 318 - 329. (第一作者，IF: 9.657, SCI 1, CCF B, Top)
[15] Yancheng Sun, Yuling Chen, Peng Wu, Xuewei Wang, Q. Wang*, DRL: Dynamic Rebalance Learning for Adversarial Robustness of UAV with Long - Tailed Distribution. Computer Communications, 2023, 205:14 - 23. (通讯作者，IF: 5.047, SCI 3)
[16] Yuling Chen, Hao Yang, Xuewei Wang, Qi Wang*, and Huiyu Zhou. 2023. GLH: From Global to Local Gradient Attacks with High - Frequency Momentum Guidance for Object Detection. Entropy 25, no. 3: 461. (通讯作者，IF: 2.738, SCI 3)
[17] Huang, Yang, Yuling Chen, Xuewei Wang, Jing Yang, and Qi Wang*. Promoting Adversarial Transferability via Dual - Sampling Variance Aggregation and Feature Heterogeneity Attacks. Electronics, 2023, 12 (3):767. (通讯作者，IF: 2.690, SCI 3)
[18] Zhou, Huizhou, Haoliang Zhao, Qi Wang*, et al. 2022. EMO - MVS: Error - Aware Multi - Scale Iterative Variable Optimizer for Efficient Multi - View Stereo. Remote Sensing, 2022, 14 (23):6085. (通讯作者，IF: 5.349, SCI 2, Top)
[19] Qi Wang, et al. MetaSearch: Incremental Product Search via Deep Meta - learning. IEEE Transactions on Image Processing, 2020, 29: 7549 - 7564. (第一作者，IF: 11.041, SCI 1, CCF A, Top)
[20] Qi Wang, et al. A Novel Feature Representation: Aggregating Convolution Kernels for Image Retrieval. Neural Networks, 2020, 130: 1 - 10. (第一作者，IF: 9.657, SCI 1, CCF B, Top)
[21] Qi Wang, et al. Improving Cross - dimensional Weighting Pooling with Multi - scale Feature Fusion for Image Retrieval. Neurocomputing, 2019, 363: 17 - 26. (第一作者，IF: 5.719, SCI 2, CCF B, Top)
[22] Qi Wang, et al. Beauty Product Image Retrieval Based on Multi - Feature Fusion and Feature Aggregation. In ACMMM, 2018, pp. 2063 - 2067. (第一作者，CCF A, Top)
[23] YANG Jing, LI Bin, LI Shaobo, Qi Wang, et al. Brain - inspired Continuous Learning: Technology, Application and Future. Journal of Electronics & Information Technology, 2022, 44 (5): 1865 - 1878. (合作作者，EI)
[24] Zhenguo Yang, Qing Li, Haoran Xie, Qi Wang, Wenyin Liu. Learning Representation from Multiple Media Domains for Enhanced Event Discovery. Pattern Recognition, 2021, 110:107640. (合作作者，IF: 7.74, SCI 1, Top)
[25] Kai Xu, Qi Wang, et al. Biomedical Named Entity Recognition Based on Dictionary Attention GRU network. Computer Applications and Software, 2020, 37 (5). (合作作者，EI)
[26] K. Xu, Z. Yang, P. Kang, Q. Wang, and W. Liu. Document - Level Attention - Based BiLSTM - CRF Incorporating Disease Dictionary for Disease Named Entity Recognition. Computers in Biology and Medicine, vol. 108, pp. 122 - 132, 2019. (合作者，IF:7.7, SCI 2)
科研项目
[1] 贵阳贵安科技人才培养项目，2024.01 - 2026.12，复杂环境下农业病虫害的多模态精准鉴定技术研究，主持。
[2] 贵州大学科研创新团队项目，2024.01 - 2026.12，多源异构作物病害大数据融合与应用科研创新团队，贵大科创团 [2023] 08 号，主持。
[3] 国家自然科学基金，图像大数据的离散化表征理论和研究，2022.01 - 2025.12，主持。
[4] 贵州省高层次留学人才创新创业项目，农业视觉在植物病害检测的研究与应用，2023.04 - 2025.04，主持。
[5] 贵州省科技厅自然科学基金，基于茶树树叶图像病害的细粒度识别研究，2022.04 - 2025.04，主持。
[6] 贵州大学培育类项目，基于植物病害图像的大数据理论研究，2021.09 - 2024.9，主持。
[7] 贵州大学培岗项目，少样本细粒度商品识别研究，2021.06 - 2024.05，主持。
发明专利
[1] 王崎，吴兴财，等；发明授权：基于多粒度图文语义学习的文本引导图像修复模型及方法；2023.09.19，ZL202310796408.3
[2] 王崎，李青雷，等；发明授权：一种基于特征向量的离散相似度匹配分类方法；2023.09.05，ZL202310756831.0
[3] 张天瀚，王崎，等；发明授权：一种复杂场景下的作物三维目标检测方法；2023.09.01，ZL202310791383.8
[4] 邓宏宇，王崎，等；发明授权：一种基于窗口自注意与多尺度机制的图像密集描述方法；2023.09.26，ZL202310822911.1
[5] 王建军，王崎，等；发明授权：一种基于对比学习的少样本细粒度图像分类方法；2023.09.19，ZL202310878846.4
[6] 王崎，吴晨阳，等；发明授权：一种基于小规模参数矩阵计算特征图边界的重构方法；2023.05.26，ZL202210229602.9
[7] 王崎，颜润明，等；发明授权：一种基于通用振镜与视觉测速的飞行打标系统和控制方法；2023.09.15，
