目录
硕士报考志愿采集    更新日期:2024年4月18日
姓 名 刘华军 性 别
出生年月 1978年9月 籍贯
民 族 汉族 政治面貌 无党派人士
最后学历 博士研究生毕业 最后学位 工学博士
技术职称 副教授 导师类别 硕士生导师
导师类型 校内 兼职导师
行政职务 Email liuhj@njust.edu.cn
工作单位 南京理工大学计算机学院 邮政编码 210094
通讯地址 南京市孝陵卫200号
单位电话 84315751-3036
个人主页
指导学科
学科专业(主) 0812|计算机科学与技术 招生类别 硕士 所在学院 计算机科学与工程学院
研究方向

深度学习、机器视觉、认知无线电、认知数字孪生

学科专业(辅) 0811|控制科学与工程 招生类别 硕士 所在学院 计算机科学与工程学院
研究方向

模式识别与智能系统、多模态多任务学习、有人/无人协同

工作经历

2019年6月至2020年8月,美国卡耐基梅隆大学(CMU)机器人研究所,博士后研究员

2018年8月至2019年6月,美国卡耐基梅隆大学(CMU)机器人研究所,访问学者

2013年10月至今,南京理工大学计算机科学与工程学院,副教授

2006年-2013年,南京电子技术研究所,副研究员

2012年,南非国家科学院(CSIR),高级访问专家

教育经历

2002年9月-2006年12月,南京理工大学计算机学院模式识别与智能系统专业,博士

1998年9月-2002年6月,南京理工大学计算机系通信工程专业,本科

社会、学会及学术兼职

IEEE会员,ISIF会员,中国计算机学会会员,中国图象图形学会会员,江苏人工智能学会会员

IEEE TIP, IEEE TITS,  IEEE Access审稿专家

AAAI, WACV, ECCV, ICCV审稿专家

NeuroComputing, JINT, IET, Sensors, Electronics, Information审稿专家

发表论文
近几年,发表科研论文50余篇,SCI/Ei检索40多篇。
 
期刊论文(*表示通讯作者):
 
Longfei Wang, Gan Wang, Huajun Liu*, Modulation Hypothesis Augmented Transformer for Emitter Signal Deinterleaving, submitted to IEEE Signal Processing Letters, 2024.
 
Huajun Liu*, Yuan Jiang, Xinyi Fan, Cailing Wang, Suting Chen, Hui Kong, Spectra-embedded Transformer for Hand Gesture Recognition on Micro-Doppler Signatures, submitted to IEEE Transactions on Instrument and Measurement, 2024.
 
Huajun Liu*, Xinyu Zhou, Cailing Wang, Suting Chen, Hui Kong, Fourier Mixing Deformable Convolution Network for Road Segmentation from Remote Sensing Images, submitted to IEEE Transactions on Geoscience and Remote Sensing, 2024.
 
Huajun Liu*, He Su, Haofeng Zhang, Suting Chen, Fei Wang. Unified Deep Complex Transformer-Convolution Models for Human Activity Recognition from Radio Signals, submitted to IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
 
Huajun Liu*, Cailing Wang, Jinding Zhao, Suting Chen, Hui Kong, Adaptive Fourier Convolution Network for Road Segmentation from Remote Sensing Images , IEEE Transactions on Geoscience and Remote Sensing (to appear), 2024.
 
Huajun Liu*, Jing Yang, Shidong Wang, Hui Kong, Qiang Chen, Haofeng Zhang, Learning to segment complex vessel-like structures with spectral transformer, Expert Systems with Applications, 2024.
 
Huajun Liu*, Jing Yang, Xiangyu Miao, Christoph Mertz, Hui Kong. CrackFormer Network for Pavement Crack Segmentation, IEEE Transactions on Intelligent Transprotation Systems, 2023.
 
Xinyi Fan, Huajun Liu*. FlexFormer: Flexible Transformer for Efficient Visual Recognition. Pattern Recognition Letters,  2023.
 
Jing Yang, Huajun Liu*. Modulation Learning on Fourier-Domain for Road Extraction from Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, pages (1-1), Jan. 2023.
 
Huajun Liu*, Fuqiang Liu, Xinyi Fan and Dong Huang. Polarized Self-attention: Towards high-quality pixel-wise mapping. Neurocomputing,  506 (2022), pp. 158-167.
 
Jingren Liu, Yi Chen, Huajun Liu, Haofeng Zhang, and Yudong Zhang. From Less to More: Progressive Generalized Zero-Shot Detection With Curriculum Learning. IEEE Transactions on Intelligent Transprotation Systems, 2022.
 
Huajun Liu*, Zuyuan Yang, Haofeng Zhang, Cailing Wang, Edge detection with attention: From global view to local focus. Pattern Recognition Letters, 154 (2022), pp. 99–109.
 
Cai Xinpeng, Jia Zhengwang, Liu Huajun*,  Transformer network for fire locating from radar measurements, Journal of Nanjing University of Science and Technology, 2021, 45 (2): 189-196.
 
Huajun Liu *, Liwei Xia and CailingWang (2019), Maneuvering Target Tracking Using Simultaneous Optimization and Feedback Learning Algorithm Based on Elman Neural Network, Sensors, 2019, 19, pp. 1-19.

Fei Ma, Xiaoke Zhu, Cailing Wang, Huajun Liu, XiaoYuan Jing (2019), Multi-orientation and multi-scale features discriminant learning for palmprint recognition, Neurocomputing, 348 (2019), pp. 169-178.

Cailing Wang, Yechao Xu*, Huajun Liu*, Xiaoyuan Jing (2018), Retrogression of correlation filters for discriminative visual object tracking, Journal of Electronic Imaging, 2018, 27(6): 063010-1: 063010-12.

Cailing Wang, Yechao Xu*, Huajun Liu*, Xiaoyuan Jing (2018), Learning correlation filters in independent feature channels for robust visual tracking, Pattern Recognition Letters, 2018: 1-9.

Shaofa LAI, Huajun LIU* (2017), Novel approach in maneuvering target tracking based on support vector regression, Journal of Nanjing University of Science and Technology, 2017, 41(2): 264-267.

Cailing Wang, Huajun Liu, Guang Han, Xiaoyuan Jing (2017), Automotive FMCW Radar-Enhanced Range Estimation via a Local Resampling Fourier Transform, International Journal of Advanced Robotic Systems, 2017, 5(12).

Huajun LIU*, Cailing WANG, Jingyu YANG (2016), Vanishing points estimationand road scene understanding based on Bayesian posterior probability, Industrial Robot: An International Journal, 2016, 43(1): 12-21.

Huajun LIU*, Cailing WANG, Jianfeng LU, Zhenmin TANG, Jingyu YANG (2016), Maximum Likelihood Estimation of Monocular Optical Flow Field for Mobile Robot Ego-motion, International Journal of Advanced Robotic Systems, 2016, 13(12).

Huajun LIU*, Shaofa LAI (2016), Fast square root CKF for automotive millimeter-wave radar target tracking, Journal of Nanjing University of Science and Technology, 2016, 40(1): 56-60.

会议论文(*表示通讯作者):

Haowei Jia, Gan Wang, Huajun Liu*. Spatial-Temporal Attention Network for Track-Track Association with Biased Data,  IEEE International Conference on Information Fusion, 2024.

He Su, Xinyi Fan, Huajun Liu*. Robust and Efficient Modulation Recognition with Pyramid Signal Transformer, IEEE Global Communications Conference (GLOBECOM), 2022.

Huajun Liu*, Xiangyu Miao, Christoph Mertz, Chengzhong Xu, Hui Kong.  CrackFormer: Transformer Network for Fine-Grained Crack Detection, ICCV 2021.
 
Huajun Liu, Fuqiang Liu, Xinyi Fan, Dong Huang. Polarized Self-Attention: Towards High-quality Pixel-wise Regression, arXiv:2107.00782, 2021. 

Huajun Liu*, Hui Zhang, Christoph Mertz (2019),DeepDA: LSTM-based Deep Data Association Network for Multi-Targets Tracking in Clutter, 22nd IEEE International Conference on Information Fusion (FUSION 2019), Ottawa Canada, 2019

Mingyue Chen, Cailing Wang, Huajun Liu*, Salient FlowNet and Decoupled LSTM Network for Robust Visual Odometry, IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019.

Cailing Wang, Zhenfei Zang, Huajun Liu, Xiaoyuan Jing (2018),Tracking with DAG Recurrent Neural Networks and Motion Revising, IEEE International Conference on Cloud Computing and Intelligence Systems, Nanjing China, 2018.

Liwei Xia, Ya Zhang, Huajun Liu * (2017),Online Optimization and Feedback Elman Neural Network for Maneuvering Target Tracking, 2017 4th IAPR Asian Conference on Pattern Recognition, 494-499, 2017.

Liu Huajun *, Wang Cailing, Yang Jingyu (2014),Vanishing points stimation and lanes identification based on Bayesian posterior probability,IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), 867-872,2014.12.5-2014.12.10.

 

出版专著和教材

合作出版专著2部

科研创新

专利:

刘华军, 朱先秋. 基于自编码器模型的多传感器融合跟踪方法. 专利号:201811417767.9

刘华军, 胡威. 一种基于实例分割神经网络框架的车道线检测算法. 专利号:201811580090.0

教学活动

1. 计算思维导论

2. 基础算法

3. 数据结构与算法分析

指导学生情况

共指导20多名硕士研究生。毕业研究生去向:

2023年: 范同学,中信证券

                杨同学,同济大学(博士生)

                赵同学,省电信

2022年: 苏同学,小米

                张同学,日本福冈工业大学(研究生)

2021年: 苗同学,省公安厅

                唐同学,虾皮

2020年: 侯同学,东南大学(博士生)      

                 陈同学,上海银行

                 谈同学,华为

2019年:  张同学,华为

                 朱同学,阿里

2018年:  胡同学,字节

2017年:  赖同学,阿里

                 朱同学,华为