通信工程系

刘海军


基本信息

刘海军,副教授,博士(后),硕士生导师

邮箱:haijun_liu@cqu.edu.cn  

Google Scholar   (Citations: 3K+)

IEEE Member,IEEE TIP、TMM、TCVST、TGRS、ISPRS、Neural Networks等人工智能领域权威期刊审稿专家 


 研究方向

智能感知与信号探测

普适智能计算方法

嵌入式人工智能 


 团队招生

欢迎各学科优秀学子加入类脑感知与普适智能团队(isbi.cqu.edu.cn)团队由国家级青年人才周喜川教授领衔。团队围绕国家与行业重大需求,面相未来无人系统感知/决策/控制/传输一体化发展趋势,开展普适智能计算理论方法与软硬件关键技术研究。团队研究包括智能感知与遥感探测、多模态信号处理与编码、神经网络计算加速、无人系统与遥感应用方向。团队现有教师与专职科研11人,博士生/硕士生36人。培养指导研究生入选中国科协青年托举工程、英特尔创新大赛国际一等奖、华为昇腾创新大赛金奖、国家奖学金等荣誉,学生毕业后就职于华为、阿里、百度、旷世、鹏城实验室等知名企业与研究机构。

近五年承担国家自然科学基金项目、国家重点研发计划课题等项目20余项,牵头科研经费过五千万,与华为、阿里、中电科、赛力斯、长安等企业长期开展项目合作。团队研究成果获国家工信部智赋百业典型案例、重庆市科学进步一等奖、重庆市自然科学二等奖。

在智能感知与计算基础理论研究领域有长期的积淀,发表IEEE TGAS、TNNLS、TMM、TCAS等高质量期刊,以及ICML、CVPR、AAAI等人工智能顶会论文上百篇。授权发明专利16项,国际专利1项。出版Deep Learning on Edge Computing Device专著是爱思唯尔在嵌入式人工智能领域首部专著。

团队每年招生指标为博士研究生2名左右,硕士研究生10名左右,有意向着请通过邮件咨询,邮件中请备注手机号,附件中添加个人简历,微信二维码。为保证能及时回复,邮件请发送到两位老师的邮箱:周喜川老师(zxc@cqu.edu.cn),刘海军老师(haijun_liu@cqu.edu.cn)。


 招生专业

学术型硕士:信息与通信工程(081000)

专业型硕士:电子信息(085400)


学习与工作经历

2022.09至今,重庆大学 微电子与通信工程学院,副教授

2020.01-2022.12, 重庆大学,弘深青年教师、博士后,合作导师:谭晓衡

2018/10-2019/09, 日本京都大学 访问学者

2015/09-2019/12, 电子科技大学 信号与信息处理,博士,导师:朱策、程建

2011/09-2014/06, 电子科技大学 电子与通信工程,硕士,导师:程建

2007/09-2011/06, 电子科技大学 电子信息工程,本科


主持科研项目

1
华为重点项目,座舱大模型的SFT数据工程技术,2024-08至2025-08, 200万元,主持
2 国家自然科学基金,青年项目,62001063,基于特征解耦与跨模整合的可见光红外行人再识别方法研究,2021-01至2023-12,24万元,主持
3 重庆市人社局项目,端侧大模型关键技术研究与应用,2024-01至2026-12,15万元,主持
4 中国博士后科学基金,面上项目,2020M673135,动作识别驱动下的人体动作预测技术研究,2020-07至2022-06,8万元,主持
5 重庆市博士后研究人员科研项目特别资助,XmT2020050,基于图神经网络时空建模的人体活动识别技术研究,2020-12至2022-11,主持
6 国家自然科学基金委员会, 联合基金项目, U2133211, 基于边云协同的机场旅客行为理解与预测关键技术研究, 2022-01-01至2025-12-31, 208万元, 任务负责人
7 国家工信部,高质量重大专项,通用AI计算芯片项目,2022-07至2025-06,620万元,任务负责人
8 华为预研项目,高能效类脑网络认知编码关键技术,2021-08-01至2023-07-31, 164万元,任务负责人

代表性论著

聚焦多光谱信号感知与处理、神经网络模型压缩高效计算、极低码率数据压缩的“感-算-存-传”一体化算法研究,在IEEE TIP、IEEE TGRS、IEEE TMM、ISPRS、Neural Networks、AAAI、CVPR等人工智能与信号处理领域的国际权威学术期刊和顶级国际会议上发表论文 60 余篇,其中IEEE信号处理快报最佳论文 (2023 IEEE SPS Signal Processing Letters Best Paper Award) 1篇,ESI高被引论文3篇,代表性论著如下:

 

Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu*, Xichuan Zhou, EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution, The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025. (会议论文)
Xichuan Zhou, Lingfeng Yan, Rui Ding, Chukwuemeka Clinton Atabansi, Jing Nie, Lihui Chen,  Yujie Feng, Haijun Liu*, MIT-SAM: Medical Image-Text SAM with Mutually Enhanced Heterogeneous Features Fusion for Medical Image Segmentation, IEEE Journal of Biomedical and Health Informatics, 2025.(期刊论文)
Xi Su, Xiangfei Shen, Haijun Liu*, Lihui Chen, Gemine Vivone, Xichuan Zhou, Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection with Mask Guidance, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2025.(期刊论文)
Haijun Liu, Jiachen Huang, Jing Nie , Jin Xie, Lihui Chen, Xichuan Zhou, Density-Guided and Frequency Modulation Dehazing Network for Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2025, 18: 9533-9545.(期刊论文)
Haijun Liu , Xi Su, Xiangfei Shen,  Xichuan Zhou, MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5520313 . (期刊论文)
Xichuan Zhou, Xuan Zou, Xiangfei Shen, Wenjia Wei, Xia Zhu, Haijun Liu*, BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image, IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 5500717. (期刊论文)
Qianshuo Hu, Haijun Liu*. Multi-Modal Enhancement Transformer Network for Skeleton-Based Human Interaction Recognition. Biomimetics 2024, 9, 123. (期刊论文)
Xichuan Zhou, Rui Ding, Yuxiao Wang, Wenjia Wei and Haijun Liu*, Cellular Binary Neural Network for Accurate Image Classification and Semantic Segmentation, IEEE Transactions on Multimedia, 2023, 25: 8064-8075. (期刊论文)
Xichuan Zhou, Dongshan Lei, Chunqiao Long, Jing Nie, Haijun Liu*. InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera, Neural Networks, 2023, 166: 501-511. (期刊论文)
Shiguang Wang, Tao Xie, Jian Cheng, Xincheng Zhang, Haijun Liu. MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (会议论文)
Xichuan Zhou, Yunmo Duan, Rui Ding, Qianchuan Wang, Qi Wang, Jian Qin, Haijun Liu*. Bit-Weight Adjustment for Bridging Uniform and Non-Uniform Quantization to Build Efficient Image Classifiers, Electronics, 2023, 12(5043). (期刊论文)
Xichuan Zhou, Haijun Liu, Cong Shi, Ji Liu, Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture, ELSEVIER & Tsinghua University Press, 2022. (专著)
Haijun Liu, Xiaoheng Tan and Xichuan Zhou, Parameter Sharing Exploration and Hetero-center Triplet Loss for Visible-Thermal Person Re-Identification, IEEE Transactions on Multimedia, 2021, 23: 4414-4425. (期刊论文)
Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li and Xichuan Zhou, Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification, IEEE Signal Processing Letters, 2021, 28: 653-657. (期刊论文)
Haijun Liu, Shiguang Wang, Wen Wang, Jian Cheng, Multi-scale based Context-aware Net for Action Detection, IEEE Transactions on Multimedia, 2019, 22(2): 337-348. (期刊论文)
Haijun Liu, Jian Cheng, Feng Wang, Sequential Subspace Clustering via Temporal Smoothness for Sequential Data Segmentation, IEEE Transactions on Image Processing, 2017, 27(2): 866-878. (期刊论文)
Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su, Haiwei Bai. Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification. Neurocomputing 398 (2020): 11-19. (期刊论文)
Haijun Liu, and Jian Cheng. Gallery based k-reciprocal-like re-ranking for heavy cross-camera discrepancy in person re-identification. Neurocomputing 333 (2019): 64-75. (期刊论文)
Haijun Liu, Fenglei Chen, Zhihong Zeng, Xiaoheng Tan. AMFuse: Add–Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic Segmentation. Remote Sensing. 2022; 14(14):3368. (期刊论文)
Xiaoheng Tan, Yanxia Chai, Fenglei Chen, and Haijun Liu*, A Fourier-Based Semantic Augmentation for Visible-Thermal Person Re-Identification, IEEE Signal Processing Letters, vol 29, 2022: 1684-1688. (期刊论文)
Xichuan Zhou, Rui Ding, Haijun Liu*, LC-BiDet: Laterally Connected Binary Detector With Efficient Image Processing, IEEE Signal Processing Letters, vol 29, 2022: 1262-1266. (期刊论文)
Yanzhou Su, Jian Cheng, Guiqun Cao, Haijun Liu*, How to design a deep neural network for retinal vessel segmentation: an empirical study, Biomedical Signal Processing and Control, Volume 77, 2022, 103761. (期刊论文)
Fenglei Chen, Haijun Liu*, Zhihong Zeng, Xichuan Zhou and Xiaoheng Tan, BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic Segmentation. Remote Sensing 14.7 (2022): 1638. (期刊论文)
Ding, Rui, Haijun Liu*, and Xichuan Zhou. IE-Net: Information-Enhanced Binary Neural Networks for Accurate Classification. Electronics 11.6 (2022): 937. (期刊论文)

Shiguang Wang, Jian Cheng, Haijun Liu*, Feng Wang, and Hui Zhou. Pedestrian detection via body part semantic and contextual information with DNN. IEEE Transactions on Multimedia, 2018, 20(11): 3148-3159. (期刊论文)

Zhihong Zeng, Haijun Liu, Fenglei Chen, Xiaoheng Tan. AirSOD: A Lightweight Network for RGB-D Salient Object Detection, IEEE Transactions on circuits and systems for video technology, 2023. (期刊论文)
Xiangfei Shen, Haijun Liu, Xinzheng Zhang, Kai Qin, Xichuan Zhou, Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing, IEEE Geoscience and Remote Sensing letters, 2022, 19. (期刊论文)
Xiangfei Shen , Haijun Liu, Jian Qin, Fangyuan Ge,and Xichuan Zhou, Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5534314. (期刊论文)
Feng Wang, Haijun Liu, and Jian Cheng. Visualizing deep neural network by alternately image blurring and deblurring. Neural Networks, 2018(97): 162-172. (期刊论文)
Yanzhou Su, Jian Cheng, Wen Wang, Haiwei Bai, and Haijun Liu. Semantic Segmentation for High-Resolution Remote Sensing Images via Dynamic Graph Context Reasoning. IEEE Geoscience and Remote Sensing Letters (2022). (期刊论文)
Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu, Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization, Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021. (会议论文)
Haijun Liu, and Ce Zhu. Status-aware projection metric learning for kinship verification. IEEE International Conference on Multimedia and Expo (ICME). 2017. (会议论文)
Haijun Liu, Jian Cheng, and Feng Wang. Sequential subspace clustering via temporal smoothness. 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017). 2017. (会议论文)
Li Dong, Quanhuan Liang, Hongqing Liu, Qinghua Liu, Haijun Liu, and Guisheng Liao, A novel multidimensional domain deep learning network for SAR ship detection. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 1-13. (期刊论文)
Wang, Feng, Jian Cheng, Weiyang Liu, and Haijun Liu. Additive margin softmax for face verification. IEEE Signal Processing Letters,  (2018): 926-930. (期刊论文)
Jian Cheng, Haijun Liu, Feng Wang, Hongsheng Li, and Ce Zhu. Silhouette analysis for human action recognition based on supervised temporal t-SNE and incremental learning. IEEE Transactions on Image Processing, 2015, 24(10): 3203-3217. (期刊论文)
Cheng, Jian, Haijun Liu, Ting Liu, Feng Wang, Hongsheng Li. Remote sensing image fusion via wavelet transform and sparse representation. ISPRS journal of photogrammetry and remote sensing 104 (2015): 158-173. (期刊论文)