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个人简介
高君宇：副教授
学术主页：[谷歌学术] | [Github] | [Github Page]
研究方向：多模态认知计算、跨域遥感、人群分析、多模态大模型
联系地址：陕西省西安市碑林区友谊西路127号西北工业大学64信箱
邮政编码：710072
电子邮箱：gjy3035 AT gmail DOT com
综合介绍
长期关注于像素级图像理解与分析的理论研究和面向临地安防场景的数据分析工程应用，学术能力与工程实践能力兼备。发表高水平论文40余篇，包含TPAMI/IJCV等顶级期刊和CVPR/NeurIPS等顶级会议论文，ESI高被引论文7篇，谷歌学术总被引3400+。开源了目标计数领域内最为流行的代码框架，开发了领域内第一个在线算法评测平台，Github 代码仓库收藏数3000+。主持国家自然科学基金青年项目、科技部科技创新2030重大项目子课题（本单位负责人）、国家级博士后基金2项。
团队长期接收硕士（目前有2025年9月入学名额）、博士、联培博士（TOP5高校【联合培养】）、实习生（优秀本科生在推免阶段可直接推荐至TOP5高校【联合培养】），欢迎具有自我驱动力的同学通过邮件（gjy3035 AT mail DOT nwpu DOT edu DOT cn）联系具体事宜，并附上个人简历。
教育背景
| 2018-2021 | 西北工业大学 | 计算机科学与技术 | 博士 |
| 2015-2018 | 西北工业大学 | 计算机科学与技术 | 硕士 |
| 2011-2015 | 西北工业大学 | 计算机科学与技术 | 学士 |
工作经历
| 2021至今 | 西北工业大学 | 特聘学者 |
| 2021至今 | 西安电子科技大学 | 师资博士后 |
获奖信息
2024 全球前2％顶尖科学家榜单
2023 陕西省优秀博士学位论文
2022 中国航空学会科学技术奖 科技进步奖 一等奖
2021 IEEE T-CSVT （中科院一区） 年度最佳论文提名
2021 陕西省优秀毕业生
2021 NeurIPS 杰出审稿人
2020 ECCV （CCF-B类、CV三大顶会之一）VisDrone Challenge 亚军、荣誉提名
科研项目
2024 国家自然科学基金青年项目 主持
2023 科技部科技创新2030—重大项目 子课题负责人
2021 中国博士后科学基金特别资助 主持
2021 中国博士后科学基金面上资助 主持
近期论文（2024年度）
D. Zhang, F. Wang, L. Ning, Z. Zhao, J. Gao, and X. Li, "Integrating SAM With Feature Interaction for Remote Sensing Change Detection," IEEE T-GRS, 2024. （SCI 一区、遥感顶级期刊）
X. Han, J. Gao, C. Yang, Y. Yuan, and Q. Wang, "Real-Time Text Detection with Similar Mask in Traffic, Industrial, and Natural Scenes," IEEE T-ITS, 2024. （SCI 一区、智能交通顶级期刊）
B. Zhang, J. Gao, and Y. Yuan, "Memory-Enhanced Hierarchical Transformer for Video Paragraph Captioning," Neurocomputing, 2024. （SCI 二区）
D. Zhang, H. Yang, J. Gao*, and X. Li*, "Imbalanced Flight Test Sensor Temporal Data Anomaly Detection," IEEE T-AES, 2024. （航空学会T1、航电系统顶级期刊）
Y. Ren, J. Gao, and Y. Yuan, "H3T: Hierarchical Transferable Transformer with TokenMix for Unsupervised Domain Adaptation," Expert Systems with Applications, 2024. （SCI 一区）
B. Zhang, J. Gao, and Y. Yuan, "Center-enhanced video captioning model with multimodal semantic alignment," Neural Networks, 2024. （SCI 一区、神经网络顶级期刊）
J. Gao, H. Yang, D. Zhang, Y. Yuan, and X. Li, "Imbalanced Aircraft Data Anomaly Detection," IEEE T-AES, 2024. （航空学会T1、航电系统顶级期刊）
X. Han, J. Gao, C. Yang, Y. Yuan, and Q. Wang, "Spotlight Text Detector: Spotlight on Candidate Regions Like a Camera," IEEE T-MM, 2024. （SCI 一区、多媒体顶级期刊）
X. Han, J. Gao, C. Yang, Y. Yuan, and Q. Wang, "Focus Entirety and Perceive Environment for Arbitrary-Shaped Text Detection," IEEE T-MM, 2024. （SCI 一区、多媒体顶级期刊）
B. Zhang, J. Gao, and Y. Yuan, "A Descriptive Basketball Highlight Dataset for Automatic Commentary Generation," ACM MM, 2024. （CCF A类、多媒体顶级会议）
Y. Yuan, H. Guo, and J. Gao*, "Distance-Aware Network for Physical-World Object Distribution Estimation and Counting," Pattern Recognition, 2024. （SCI 一区、模式识别顶级期刊）
D. Zhang, J. Gao, and X. Li, "Multivariate Time Series Classification with Crucial Timestamps Guidance," Expert Systems with Applications, 2024. （SCI一区）
H. Ding, J. Gao*, Y. Yuan, and Q. Wang, "FF-LPD: A Real-Time Frame-by-Frame License Plate Detector with Knowledge Distillation and Feature Propagation," IEEE T-IP, 2024. （SCI 一区、CCF A、图像处理顶级期刊）
X. Sun, J. Gao, and Y. Yuan, "Alignment and Fusion Using Distinct Sensor Data for Multimodal Aerial Scene Classification," IEEE T-GRS, 2024. （SCI 一区、遥感顶级期刊）
D. Zhang, J. Gao*, and X. Li*, "Learning Long-Range Relationships for Temporal Aircraft Anomaly Detection," IEEE T-AES, 2024. （航空学会T1、航电系统顶级期刊）
H. Guo, J. Gao, and Y. Yuan, "Balanced Density Regression Network for Remote Sensing Object Counting," IEEE T-GRS, 2024. （SCI 一区、遥感顶级期刊）
Q. Zhou, J. Gao, Y. Yuan, and Q. Wang, "Single-stream Extractor Network with Contrastive Pre-training for Remote Sensing Change Captioning," IEEE T-GRS, 2024. （SCI 一区、遥感顶级期刊）
X. Shi, J. Gao, and Y. Yuan, "Enhancing Uni-Modal Features Matters: A Multi-Modal Framework for Building Extraction," IEEE T-GRS, 2024. （SCI 一区、遥感顶级期刊）
S. Bai, S. Li, W. Zhuang, J. Zhang, K. Yang, J. Hou, S. Yi, S. Zhang, and J. Gao, "Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators," AAAI, 2024. （CCF A类、人工智能顶级会议）
Z. Hu, J. Gao*, Y. Yuan, and X. Li, "Contrastive Tokens and Label Activation for Remote Sensing Weakly Supervised Semantic Segmentation," IEEE T-GRS, 2024. （SCI 一区、遥感顶级期刊）
Z. Wang, J. Gao, Q. Lei, and W. Fan, "Investigation into Ignition and Flame Propagation in a Combustor with Prefilming and Non-prefilming Atomization," Physics of Fluids, 2024. （SCI 一区、流体力学顶级期刊）
J. Gao, L. Zhao, and X. Li, "NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Images," IEEE T-GRS, 2024. （SCI 一区、遥感顶级期刊）
L. Zhao, J. Gao*, and X. Li, "SSIR: Spatial shuffle multi-head self-attention for Single Image Super-Resolution," Pattern Recognition, 2024. （SCI 一区、模式识别顶级期刊）
Q. Zhou, J. Gao, Y. Yuan, and Q. Wang*, "RRTrN: A lightweight and effective backbone for scene text recognition," Expert Systems with Applications, 2024. （SCI 一区）
以往论文
点击展开
2023
Y. Jia, J. Gao, W. Huang, Y. Yuan, and Q. Wang, "Holistic Mutual Representation Enhancement for Few-Shot Remote Sensing Segmentation," IEEE T-GRS, 2023. （SCI 一区、遥感顶级期刊）
J. Hu, J. Gao, Y. Yuan, J. Chanussot, and Q. Wang*, "LGNet: Location-Guided Network for Road Extraction from Satellite Images," IEEE T-GRS, 2023. （SCI 一区、遥感顶级期刊）
H. Ding, J. Gao*, Y. Yuan, and Q. Wang*, "An End-to-End Contrastive License Plate Detector," IEEE T-ITS, 2023. （SCI 一区、智能交通顶级期刊）
Y. Jia, J. Gao*, W. Huang, Y. Yuan, and Q. Wang*, "Exploring Hard Samples in Multi-View for Few-Shot Remote Sensing Scene Classification," IEEE T-GRS, 2023. （SCI 一区、遥感顶级期刊）
J. Wang, J. Gao*, Y. Yuan, and Q. Wang*, "Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped Teacher," IEEE T-IP, 2023. （SCI 一区、CCF A、图像处理顶级期刊）
H. Ding, J. Gao*, Y. Yuan, and Q. Wang*, "Boosting One-Stage License Plate Detector via Self-Constrained Contrastive Aggregation," IEEE T-CSVT, 2023. (SCI 一区）
L. Zhao, J. Gao*, and X. Li, "NAS-Kernel: Learning Suitable Gaussian Kernel for Remote-Sensing Object Counting," IEEE GRSL, 2023. (SCI 二区)
J. Gao, H. Lu, and X. Li, “Learning from Temporal Aviation Data to Detect Anomaly Events,” CASTC, 2023.
高君宇，尹阁豪，李学龙. 智能航空传感器故障诊断一体化架构设计. 中国航空科学技术大会, 2023.
高君宇，张达，李学龙. 基于多尺度表征的航空时序数据故障检测. 中国航空科学技术大会, 2023.
杨昊，高君宇，李学龙. 基于自适应重采样的试飞数据异常检测. 中国航空科学技术大会, 2023.
孙旭，高君宇，袁媛. 多模态航空传感器故障分析. 中国航空科学技术大会, 2023.
张达，高君宇，丁腾欢，谷士鹏，李学龙. 基于时序二维化的航空传感器故障检测. 西北工业大学学报, 2023.
2022
T Han, L Bai, J. Gao, Q Wang, W Ouyang, "DR. VIC: Decomposition and Reasoning for Video Individual Counting", EEE CVPR, 2022. (CCF A、计算机视觉顶级会议)
W. Lin, K. Yang, X. Ma, J. Gao, L. Liu, S. Liu, J. Hou, S. Yi, AB Chan, "Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting," BMVC, 2022.
H. Li, L. Liu, K. Yang, S. Liu, J. Gao, B. Zhao, R. Zhang, and J. Hou, "Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark," IEEE T-IP, 2023. （SCI 一区、CCF A、图像处理顶级期刊）
J. Gao, M. Gong, and X. Li*, "Congested crowd instance localization with dilated convolutional swin transformer," Neurocomputing, 2022. (SCI 二区)
2021
Q Wang, J. Gao, W. Lin, and Y. Yuan, "Pixel-wise crowd understanding via synthetic data", IJCV, 2021. （计算机视觉顶级期刊）
J. Gao, T. Han, Y. Yuan, and Q. Wang, "Domain-Adaptive Crowd Counting via High-Quality Image Translation and Density Reconstruction," IEEE T-NNLS, 2021. （SCI 一区）
Q. Wang, T. Han, J. Gao, and Y. Yuan, "Neuron linear transformation: Modeling the domain shift for crowd counting," IEEE T-NNLS, 2021. （SCI 一区）
S Bai, J. Gao*, Q Wang*, and X Li, "Multi-Domain Synchronous Refinement Network for Unsupervised Cross-Domain Person Re-Identification," IEEE ICME, 2021.
W. Lin, J. Gao, Q. Wang, and X. Li, "Learning to detect anomaly events in crowd scenes from synthetic data", Neurocomputing, 2021. (SCI 二区)
2020
J. Gao, Y. Yuan, and Q. Wang, "Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance," IEEE T-CYB, 2020. （SCI 一区）
Q. Wang, J. Gao, W. Lin, X. Li, "NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization", IEEE T-PAMI, 2020. （ESI高被引论文、SCI 一区、CCF A、人工智能顶级期刊）
T. Han#, J. Gao#, Y. Yuan, and Q. Wang, "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning," NeurIPS, 2020. （共同一作、CCF A）
Q. Wang, W. Lin, J. Gao, and X. Li, "Density-Aware Curriculum Learning for Crowd Counting," IEEE T-CYB, 2020. （ESI高被引论文、SCI 一区）
Q. Wang, T. Han, Z. Qin, J. Gao, X. Li, "Multitask attention network for lane detection and fitting", IEEE T-NNLS, 2020. （ESI高被引论文、SCI 一区）
W. Lin, J. Gao, Q. Wang, and X. Li, "Pixel-level self-paced learning for super-resolution," IEEE ICASSP, 2020.
T. Han, J. Gao, Y. Yuan, and Q. Wang, "Focus on semantic consistency for cross-domain crowd understanding," IEEE ICASSP, 2020.
Z. Zhao, T. Han, J. Gao, Q. Wang, and X Li, "A flow base bi-path network for cross-scene video crowd understanding in aerial view," ECCVW, 2020.
2019之前
Q. Wang, J. Gao, and Y. Yuan, "Learning from synthetic data for crowd counting in the wild," IEEE CVPR, 2019. (CCF A、计算机视觉顶级会议)
J. Gao, Y. Yuan, and Q. Wang, "SCAR: Spatial-/channel-wise attention regression networks for crowd counting," Neurocomputing, 2019.
J. Gao, Q. Wang, and X. Li, "Pcc net: Perspective crowd counting via spatial convolutional network," T-CSVT, 2019. （ESI高被引论文、SCI 一区、年度最佳论文候选）
Q. Wang, J. Gao, and X. Li, "Weakly supervised adversarial domain adaptation for semantic segmentation in urban scenes," IEEE T-IP, 2019. （ESI高被引论文、SCI 一区、CCF A、图像处理顶级期刊）
Q. Wang, J. Gao, and Y. Yuan, "A joint convolutional neural networks and context transfer for street scenes labeling," IEEE T-ITS, 2018. （ESI高被引论文、SCI 一区、智能交通顶级期刊）
Q. Wang, J. Gao, and Y. Yuan, "Embedding structured contour and location prior in siamesed fully convolutional networks for road detection," IEEE T-ITS, 2018. （ESI高被引论文、SCI 一区、智能交通顶级期刊）
J. Gao, Q. Wang, and Y. Yuan, "Embedding structured contour and location prior in siamesed fully convolutional networks for road detection," IEEE ICRA, 2017.
学术活动
《计算机科学与探索》青年编委
PRCV 2024领域主席
长期担任计算机视觉、机器学习、人工智能领域顶级会议审稿人、程序委员会委员：
CVPR'20-'24、ICCV'23、ECCV'20-'22...
NeurIPS'20-'23、ICML'22-'23、ICLR'22-'24 ...
AAAI、IJCAI、BMVC、WACV、ACCV、ITSC、ICASSP ...并长期担任顶级期刊审稿人：
IEEE T-PAMI、T-IP、T-NNLS、T-CYB、T-CSVT、T-GRS、T-ITS、TII ...
IJCV、CVIU、PR、SPL、Neurocomputing、Cognitive Computation ...
学生去向
合作者：
赵致远（计算机21届博，TeleAI）
韩滔（计算机21届硕，深造，香港科技大学）
白思开（计算机21届硕，深造，香港科技大学）
林维（计算机20届硕，深造，香港城市大学）
秦泽群（计算机19届硕，深造，浙江大学）
杨馥魁（计算机19届硕，百度）硕博生：
杨昊（计算机23届硕，深造，西安交通大学）
杨思宇（计算机23届硕，华为）
尹阁豪（计算机23届硕，中国农业发展银行）
卢宏超（计算机23届硕，航空工业631研究所）
赵亮亮（计算机23届硕，RA，清华大学）
周欣（计算机22届硕，华为）本科生：
张晓坤（电子信息学院25届，排名2/75，推荐保研至复旦直博）
汪飞宇（教育实验学院25届，排名6/49，推荐保研至复旦直博）
邵睿（教育实验学院25届，排名19/49，推荐保研至西工大）
刘子淇（教育实验学院25届，排名18/54，保研至中科大直博）实习生：
其他信息
团队长期接收硕士（目前有2025年9月入学名额）、博士、联培博士（TOP5高校【联合培养】）、实习生（优秀本科生在推免阶段可直接推荐至TOP5高校【联合培养】），欢迎具有自我驱动力的同学通过邮件（gjy3035 AT mail DOT nwpu DOT edu DOT cn）联系具体事宜，并附上个人简历。