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: 2K+）

IEEE Member, RISC-V嵌入式人工智能国际标准组成员

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，365体育官方唯一入口 365体育官方唯一入口，副教授

2020.01-2022.12, 365体育官方唯一入口，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

主持或参加科研项目

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

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

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

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, 参与

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，参与

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，参与

代表性论著

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)

Mingxi Xiang, Rui Ding, Haijun Liu, Xichuan Zhou. Latency-Constrained Neural Architecture Search Method for Efficient Model Deployment on RISC-V Devices. Electronics 2024, 13, 692. (期刊论文)

Xiangfei Shen, Lihui Chen, Haijun Liu, Xi Su, Wenjia Wei, Xia Zhu, Xichuan Zhou. Efficient Hyperspectral Sparse Regression Unmixing With Multilayers, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5522614. (期刊论文)

Chukwuemeka Clinton Atabansi, Jing Nie, Haijun Liu, Qianqian Song, Lingfeng Yan, Xichuan Zhou, A survey of Transformer applications for histopathological image analysis: New developments and future directions, BioMedical Engineering OnLine, 2023, 22(96). (期刊论文)

Yujie Feng, Chukwuemeka Clinton Atabansi, Jing Nie, Haijun Liu, Hang Zhou, Huai Zhao, Ruaxia Hong, Fang Li, XIchuan Zhou, Multi-stage fully convolutional network for precise prostate segmentation in ultrasound images, Biocybernetics and Biomedical Engineering, 2023, 43: 586-602. (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 97 (2018): 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[J]. 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[J]. 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)