西安理工大学
导师风采
李军怀
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  • 教授
  • 导师类别:硕士,博士生导师
  • 性别: 男
  • 学历:博士研究生
  • 学位:博士

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Contact Information

  • 所属院系:计算机科学与工程学院
  • 所属专业: 计算机科学与技术
  • 邮箱 : lijunhuai@xaut.edu.cn
  • 工作电话 : -

个人简介

Personal Profile

李军怀,工学博士,二级教授/博士生导师。现任安理工大学计算机科学与工程学院院长,物联网工程专业负责人,中国计算机学会(CCF)杰出会员,陕西省计算机教育学会副理事长,CCF分布式计算与系统专委会委员,陕西省智能感知与系统安全国际合作引智基地、人机共融智能机器人陕西省高校工程研究中心负责人。近年来,主要从事智能感知与识别技术开展研究与教学工作,主持完成国家重点研发计划子课题1项、国家自然科学基金项目3项、省市科技计划项目10余项,获陕西省科学技术奖二等奖、三等奖和西安市科学技术奖、陕西高等学校科学技术奖等16项,获省级教学成果奖3项,国家一流课程负责人。主编或参编《计算机网络教程》、《网络信息安全技术》等教材5部。在ACM COMPUTING SURVEYS、IEEE TII、IEEE TFS、IEEE TIM、IEEE TNSM、IEEE IOTJ、EWSA等期刊发表论文100余篇,授权发明专利28项,登记软件著作权40余项。指导学生获中国“互联网+”大赛、下一代互联网技术创新大赛、全国物联网大赛、中国研究生人工智能创新大赛等多个奖项。


  • 研究方向Research Directions
智能感知与识别技术,情感计算与交互
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
团队展示

团队聚焦物联网系统结构与系统的研究与应用,围绕智能感知与识别、移动边缘计算、工业物联网、数据融合及挖掘、智慧水利等方向开展研究。

目前,团队承担了国科技部重点研发计划、国家自然基金面上项目、青年项目、省部级项目30余项、企业委托项目40余项;在IEEE JSAC、IEEE TI、IEEE TCOM、IEEETIFS、IEEE TWC、IEEE TMC、IEEE ITS、IEEE IOT-J、EAAI等期刊发表高水平论文90余篇。获省市厅级科学技术奖10余项,获省级教学成果奖3项、国家一流课程1门。此外,团队注重学生实践能力和创新能力的培养,指导学生获中国“互联网+”大赛、下一代互联网技术创新大赛、全国物联网大赛、中国研究生人工智能创新大赛等多个奖项。


科研项目

[1]基于运动生物力学的人体动作模式描述与识别方法研究(61971347),国家自然科学基金面上项目,2020.1-2023.12。

 [2]基于时空模式的复杂行为识别方法研究(61771387),国家自然科学基金面上项目,2018.1- 2021.12。

 [3]面向室内复杂环境的RFID定位方法研究(61172018),国家自然科学基金面上项目,2012.1- 2015.12。

 [4]戏曲和民族舞蹈类文化资源数字化技术和创作平台(2017YFB1402103-3),国家重点研发计划子课题,2017.12-2020.11。 


论文

[1] Li Yue, Zhi Yuxing, Wang Huaijun, GuoYufan, Wang Kan, Yu Lei, Fei Rong, Li Junhuai. Cross-domain human activity recognition based on deviation-graph constrained Non-Negative Matrix Factorization[J]. Engineering Applications Of Artificial Intelligence, Vol.152, 2025.

[2] Yu Zonghua, Wang Huaijun, Li Junhuai, Jin Haiyan, Cao Ting. Rethinking probability volume for multi-view stereo: A probability analysis method[J]. Applied Intelligence, 55(6), 2025.

[3] Du Jiawei, Wang Huaijun, Li Junhuai, Fei Rong. HFedCWA: heterogeneous federated learning algorithm based on contribution-weighted aggregation[J]. Applied Intelligence, 55(2), 2025.

[4] Li Junhuai, Lin Chuang, Zhi Yuxing, Wang Huaijun, Chen Jing, Huang Tao. Adversarial Training and Cross-modal Feature Fusion in Multimodal Sentiment Analysis[C]. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-5

[5] Zhi Yuxing, Li Junhuai, Wang Huaijun, Chen Jing. A Multimodal Sentiment Analysis Approach Based on Multiview Cross-Modal Fusion[J]. IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2025

[6] Zhang Pengfei, Li Junhuai, Ding dong, Wang Huaijun, Wang Kang. A Two-Step Cellular Network Traffic Forecasting Method Integrating Decomposition and Deep Neural Networks based on Bayesian Joint Parameter Optimization[J]. IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2025

[7] Yuan Nianzeng, Li Junhuai, Sun Bangyong. Global Cross-Attention Network for Single-Sensor Multispectral Imaging[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 9, no. 1, pp. 240-252, Feb. 2025

[8] Tu Pengjia, Li Junhuai, Wang Huaijun. A Multitask Deep Learning Approach for sEMG-based Human Motion Intention and Muscle Fatigue Levels Recognition[J]. IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-10, 2025(中科院二区,Top期刊,IF=5.6)

[9] Zhi Yuxing, Li Junhuai, Wang Huaijun, Chen Jing, and Wei Wei. A Multimodal Sentiment Analysis Method Based on Fuzzy Attention Fusion[J]. IEEE Transactions on Fuzzy Systems, 2024, 32(10):5886-5898. (中科院一区,Top期刊,IF=10.7,CCF B)

[10] Wang Huaijun, Yang Jian, Cui Changrui, Tu Pengjia, Li Junhuai, Fu Bo, Xiang Wei. Human Activity Recognition based on Local Linear Embedding and Geodesic Flow Kernel on Grassmann manifolds[J]. Expert Systems with Applications, 2024, 241: 122696.(中科院一区,Top期刊,IF=7.5)

[11] Guo Yufan, Fei Rong, Li Junhuai, Wan Yuxin, Yang Chenyu, Zhao Zhongqi, Majid Habib Khan, Li Mingyue. CRPF-QC: An Efficient CSI Recurrence Plot-Based Framework for Queue Counting[J]. IEEE Internet of Things Journal, 2024, 11(19): 31699-31714. (中科院一区,Top期刊,IF=8.2)

[12] Li Junhuai, Wang Kan, Hou Xiangwang, Lan Dapeng, Wu Yunwen, Wang Huaijun.A dual-scale transformer-based remaining useful life prediction model in industrial Internet of Things[J]. IEEE Internet of Things Journal, 2024,11(16): 26656-26667. (中科院一区,Top期刊,IF=8.2)

[13] Ding Dong, Li Junhuai, Wang Huaijun, Wang Kan. Load Recognition With Few-Shot Transfer Learning Based on Meta-Learning and Relational Network in Non-intrusive Load Monitoring[J]. IEEE Transactions on Smart Grid, 2024, 15(5): 4861-4876. (中科院一区,Top期刊,IF=8.6)

[14] Tu Pengjia, Li Junhuai,Wang Huaijun,Li Yuxin, Xiang Wei. A novel lower-limb coordination assessment scheme using multi-scale nonlinear coupling characteristics with sEMG[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-11.(中科院二区,Top期刊,IF=5.6)

[15] Wen Yingkun, Liu Lei, Li Junhuai, Li Yilan, Wang Kan, Yu Shui, Guizani Mohsen. Covert Communications Aided by Cooperative Jamming in Overlay Cognitive Radio Networks[J]. IEEE Transactions on Mobile Computing, 2024, 23(12): 12878-12891. (中科院二区,Top期刊,IF=7.7, CCF A)

[16] Yuan Nianzeng, Li Junhuai, Sun Bangyong.Consumer Camera Demosaicking and Denoising With a Collaborative Attention Fusion Network[J]. IEEE Transactions On Consumer Electronics, 2024,70(1):509-521. (中科院二区,IF=4.3)

[17] Wang Huaijun, Bai Bingqian, Li Junhuai, Ke Hui, Xiang Wei. Action recognition method based on multi-stream attention-enhanced recursive graph convolution[J]. Applied Intelligence,2024, 54(20): 10133-10147.(中科院二区,IF=3.4)

[18] Zhi Yuxing, Li Junhuai, Wang Huaijun, Chen Jing, Cao Ting. A Fine-Grained Tri-Modal Interaction Model For Multimodal Sentiment Analysis[C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2024, p.5715-5719.(CCF B)

[19] Tu Pengjia,Tian Cheng,Du Dandan,Li Junhuai, Wang Huaijun.Activity Recognition Method Based On Kernel Supervised Laplacian Eigenmaps[C].IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).2024, p.7700-7704. (CCF B)

[20] Li Junhuai, Cao Jingyi, Zhi Yuxing, Wang Huaijun, Cao Ting, Fei Rong. Cross-Domain Activity Recognition Based on Stacked Transfer Network[C]. Proceedings of the International Joint Conference on Neural Networks (IJCNN). Yokohama, Japan, 2024.5.

[21] Cui Yingan, Li Xue, Li Junhuai, Wang Huaijun, Chen Xiaogang. A survey of sampling method for social media embeddedness relationship[J]. ACM Computing Surveys, 2022, 55(4): 1-39.(中科院一区,Top期刊,IF=23.8)

[22] Sun Bangyong, Ma Ming, Yuan Nianzeng, Li Junhuai, Yu Tao. Detecting the Background-Similar Objects in Complex Transportation Scenes[J]. IEEE Transactions on Intelligent Transportation Systems, 2023: 1-13.(中科院一区,Top期刊,IF=7.9)

[23] Li Junhuai,Wang Ruijie,Wang Kan. Service function chaining in industrial Internet of Things with edge intelligence: A natural actor-critic approach[J]. IEEE Transactions on Industrial Informatics, 2022, 19(1): 491-502.(中科院一区,Top期刊,IF=11.7,ESI高被引)

[24] Li Aimin, Xiong Siqi, Li Junhuai, Mallik Saurav, Liu Yajun, Fei Rong, Zhou Hongfang, Liu Guangming. AngClust: angle feature-based clustering for short time series gene expression profiles[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, 20(2): 1574-1580.(CCF B,中科院三区,IF=3.6)

[25] Cao Ting, Liu Lei, Wang Kan, Li Junhuai. A fractional integral and fractal dimension-based deep learning approach for pavement crack detection in transportation service management[J]. IEEE Transactions on Network and Service Management, 2022, 19(4): 4201-4212.(中科院二区,IF=4.7)

[26] Tu Pengjia, Li Junhuai, Wang Huaijun, Wang Kan, Yuan Yuan. Epidemic contact tracing with campus WiFi network and smartphone-based pedestrian dead reckoning[J]. IEEE Sensors Journal, 2021, 21(17): 19255-19267.(中科院二区,IF=4.3)

[27] Wang Kan, Yu F Richard, Wang Lei, Li Junhuai, Zhao Nan, Guan Quansheng, Li Bing, Wu Qiong. Interference alignment with adaptive power allocation in full-duplex-enabled small cell networks[J]. IEEE Transactions on Vehicular Technology, 2019, 68(3): 3010-3015.(中科院二区,Top期刊,IF=6.1)

 


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