刘龙军，副教授，博导。2015年毕业于西安交通大学模式识别与智能系统专业，获工学博士学位，博士期间赴美国佛罗里达大学（University of Florida，UF）国家公派联合培养两年。在人工智能、集成电路设计、智能系统体系架构等领域期刊会议上如TPDS,TCS-I,TCSVT,TMM,TNNLS,ISCA,CVPR,AAAI,ACM MM等发表多篇论文。获得中国自动化学会“CAA自然科学奖”一等奖（“从芯片到系统的高效智能计算架构关键技术研究”，第二完成人）；高等教育（研究生）国家级教学成果一等奖（“价值塑造、前沿引领、产教融合、团队协同的人工智能高层次人才培养新体系”）；获得IEEE Computer Architecture Letter（IEEE计算机体系结构快报，第一作者）期刊年度最佳论文奖“Best of CAL”；以第一作者投稿的学术论文获得计算机体系结构领域国际顶级学术会议IEEE/ACM International Symposium on Computer Architecture（ISCA，IEEE/ACM国际计算机体系结构学术年会,第一作者）收录并在大会上做论文口述报告。获得IEEE International Conference on ASIC（IEEE国际专用集成电路设计学术会议）“优秀学生论文奖”（第一作者）。中国自动化学会科普奖“CAA科普奖”（“AI科普行动”）等等，承担国家自然科学基金、国家重点研发计划、国家科技重大专项“核高基”等多个项目。

   人工智能是一门极富发展潜力的交叉学科，涉及到自动化、电子、微电子、计算机、软件、信通、机械等多个相关专业。研究领域涉及到模式识别、智能系统、机器人、大数据处理、图像/语言处理与识别等。

   欢迎以上相关专业的对计算机视觉相关的智能算法模型研究，软硬件协同设计，系统架构研究感兴趣的学生报考本人博士与硕士研究生，本人也常年招收对人工智能软硬件相关方向感兴趣的各个专业的本科生来课题组科研实习！

   本人所在人工智能与机器人研究所（简称“人机所”，2018年12月在人机所的基础上成立“人工智能学院”）成立于1986年，在郑南宁院士的带领下三十多年来已形成优秀的学术氛围与独特的精神文化！拥有完备的软硬件平台供学生科研。欢迎广大学子报考本人研究生，欢迎加入人机所大家庭！

(注: Longjun Liu* 表示作为通信作者指导本人学生作为一作发表的论文)

1. Haonan Zhang, Longjun Liu*, Yuqi Huang, YangZhao, Xinyu Lei, et,al., “CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection”[C], IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024  (CCF A类).
2. Haonan Zhang, Longjun Liu*, Yi Zhang, Xinyu Lei, et,al., “DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance”[J], IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 .
3. Xinyu Lie, Longjun Liu*, Yi Zhang, Haonan Zhang, “Self-supervised Learning Strategy Inspired by the Relationship Between Infant Cognition and Unsupervised Learning”[J], IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2024.
4. Xinyu Lie, Longjun Liu*, Puhang Jia, Haoteng Li, et,al., “Low-light Infrared and Visible Image Fusion with Imbalanced Thermal Radiation Distribution”[J], IEEE Transactions on Instrumentation and Measurement(TIM), 2024.
5. Haonan Zhang, Longjun Liu*, Yuqi Huang, Xinyu Lei, et,al., “InstKD: Towards lightweight 3D object detection with instance-aware knowledge distillation”[J], IEEE Transactions on Intelligent Vehicles (TIV), 2024.
6. Xiaoqing Zhao, Longjun Liu*, Hongbin Sun, Nanning Zheng, et,al.,  “Compensation Architecture to Alleviate Noise Effects in RRAM-based Computing-in-memory Chips with Residual Resource”[C], The 57th IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
7. Hongyi He, Longjun Liu*, Haonan Zhang, Nanning Zheng. “IS-DARTS: Stablizing DARTS through Presice Measurement on Candidate Importance”[C], The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024  (CCF A类).
8. Xinyu Lei, Longjun Liu*, Yi Zhang, Puhang Jia, Haonan Zhang et al., “RepCo: Replenish Sample Views with Better Consistency for Contrastive Learning”[J], Neural Networks , 2023.
9. Yi Zhang, Yingke Gao, Haonan Zhang, Xinyu Lei, Longjun Liu*. “Cross-layer Patch Alignment and Intra-and-inter Patch Relations for Knowledge Distillation”[C], IEEE International Conference on Image Processing (ICIP) , 2023.
10. Xiao Wang, Xiaodong Deng, Yingxiang Li, Shitao Chen, Longjun Liu*, Nanning Zheng. “Design Hybrid Computing Architecture for Accelerating Point Cloud Registration”[C], IEEE Intelligent Vehicles Symposium (IV) , 2023.
11. Yingxiang Li, Zhiwen Su, et al, Longjun Liu*. “FPGA Accelerated Real-time Recurrent All-Pairs Field Transforms for Optical Flow”[C], Chinese Automation Congress (CAC), 2022.
12. Shijie Wang, Xiaodong Deng, et al, Longjun Liu*. “FPGA-based Acceleration of Structured Light Depth Estimation", [C], Chinese Automation Congress (CAC), 2022.
13. Shuang Liu, Zhicheng Liu, et al, Longjun Liu*. “Design Compact YOLO based Network for Small Target Detection on Infrared Image”[C], Chinese Automation Congress (CAC), 2022.
14. Haonan Zhang, Longjun Liu*, Bingyao Kang, Nanning Zheng. “Hierarchical Model Compression via Shape-Edge Representation of Feature Maps -- an Enlightenment from the Primate Visual System”[J], IEEE Transactions on Multimedia (TMM) , 2022.
15. Hengyi Zhou, Hongyi He, Wancheng Liu, Yuhai Li, Haonan Zhang, Longjun Liu*. “A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness”[C], The 14th Asian Conference on Machine Learning (ACML) , 2022.
16. Hengyi Zhou, Longjun Liu*, Haonan Zhang, Nanning Zheng. “Rethinking the Mechanism of the Pattern Pruning and the Circle Importance Hypothesis”[C], 30th ACM International Conference on Multimedia (ACM MM), 2022. (CCF A类)  
17. Hengyi Zhou, Longjun Liu*, Haonan Zhang, Hongyi He, Nanning Zheng. “CMB: A Novel Structural Re-parameterization Block without Extra Training Parameters”[C], International Joint Conference on Neural Networks (IJCNN), 2022. 
18. Shaofei Yang, Longjun Liu, Jiantao Zhou, Yunfu Zhao, Gengxin Hua, Hongbin Sun, Nanning Zheng. “Robust and Efficient Star Identification Algorithm based on 1D Convolutional Neural Network” [J], IEEE Transactions on Aerospace and Electronic Systems (T-AES), 2022.
19. Haonan Zhang, Longjun Liu*, Hengyi Zhou, Liang Si, Hongbin Sun, Nanning Zheng. “Exploring the Discriminative Feature and Feature Correlation of Feature Maps for Hierarchical DNN Pruning and Compression”[J],  IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2022.  
20. Liang Si, Yuhai Li, Hengyi Zhou, Jiahua Liang, Longjun Liu*. “Explore a Novel Knowledge Distillation Framework for Network Learning and Low-Bit Quantization” [C], Chinese Automation Congress (CAC), 2021.
21. Lankun Li, Wancheng Liu, Ruiqi Lei, Longjun Liu*. “Design and Implementation of Infrared Image Preprocessing System basedon FPGA” [C], Chinese Automation Congress (CAC), 2021. 
22. Haonan Zhang, Longjun Liu*, Hengyi Zhou, Wenxuan Hou, Hongbin Sun, Nanning Zheng. “AKECP: Adaptive Knowledge Extraction from Feature Maps for Fast and Efficient Channel Pruning”[C], 29th ACM International Conference on Multimedia (ACM MM), 2021. (CCF A类) 
23. Haonan Zhang, Longjun Liu*, Hengyi Zhou, Hongbin Sun, Nanning Zheng. “CMD: Controllable Matrix Decomposition with Global Optimization for Deep Neural Network Compression”[J], Springer Journal Machine Learning (JML), 2021.
24. Wenxuan Hou, Longjun Liu,*, Jinxia Gao*, Anguo Zhu, Keyang Pan, Hongbin Sun, Nanning Zheng. “Exploring Effective DNN Models for Forensic Age Estimation based on Panoramic Radiograph Images”[C], International Joint Conference on Neural Networks (IJCNN), 2021
25. Wenxuan Hou, Longjun Liu*, Haonan Zhang, Hongbin Sun, Nanning Zheng. “DFSNet: Dividing-Fuse Deep Neural Networks with Searching Strategy for Distributed DNN Architecture”[J], ELSEVIER Journal Neurocomputing, 2021.
26. Xiaoqing Zhao, Longjun Liu*, Liang Si, Keyang Pan, Hongbin Sun, Nanning Zheng. “Adaptive Weight Mapping Strategy to Address the Parasitic Effects for ReRAM-based Neural Networks”[C], The IEEE International Conference on ASIC (ASICON), 2021.
27. Anguo Zhu, Longjun Liu*, Wenxuan Hou, Hongbin Sun, Nanning Zheng. “HSC: Leveraging Horizontal Shortcut Connections for Improving Accuracy and Computational Efficiency of Lightweight CNN”[J]， ELSEVIER Journal Neurocomputing, 2021
28. Baoting Li, Hang Wang; Xuchong Zhang; Jie Ren; Longjun Liu; Hongbin Sun; Nanning Zheng. "Dynamic Dataflow Scheduling and Computation Mapping Techniques for Efficient Depthwise Separable Convolution Acceleration," [J] IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 68, no. 8, Aug. 2021. (CCF A类)
29. Shaofei Yang#, Longjun Liu#, Yingxiang Li, Xinxin Li, Hongbin Sun and Nanning Zheng. "Lane Shared Bit-Pragmatic Deep Neural Network Computing Architecture and Circuit," [J]  in IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II), vol. 68, no. 1, Jan. 2021.
30. Baoting Li, Longjun Liu*, Yanmin Jin, Peng Gao, Hongbin Sun and Nanning Zheng. "Designing Efficient Shortcut Architecture for Improving the Accuracy of Fully Quantized Neural Networks Accelerator,"[C] 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 2020, pp. 289-294.
31. Shaofei Yang, Longjun Liu*, Baoting Li, Hongbin Sun and Nanning Zheng. “Exploiting Variable Precision Computation Array for Scalable Neural Network Accelerators,”[C] IEEE International Conference on Artificial Intelligence Circuits and Systems （AICAS）, March 2020.
32. Kaige Yan, Jingweijia Tan, Longjun Liu, Xingyao Zhang, Stanko R. Brankovic, Jinghong Chen, and Xin Fu.“Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users.” [J]  ACM Transactions on Embedded Computing Systems. 18, 6,  January 2020.
33. Yanming Jin, Longjun Liu*, Hongbing Sun, Nanning Zheng, “A Novel Strategy for Multi-Objective Tracking Framework based on Semi-online Mechanism”, [C] International Joint Conference on Neural Networks (IJCNN), 2020.
34. Jinxia Gao, Longjun Liu*, Peng Gao, Yihuan Zheng, Wenxuan Hou and Junhui Wang. “Intelligent Occlusion Stabilization Splint with Stress-Sensor System for Bruxism Diagnosis and Treatment”[J] , Sensors，20(1), 2020.
35. Xing Lei, Longjun Liu*, Zhiheng Zhou, Hongbin Sun, Nanning Zheng.” Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems”[C]. IEEE International Conference on Image Processing (ICIP), 2019.
36. Longjun Liu, Hongbin Sun, Peng Gao, Nanning Zheng, Tao Li. "REcache: Efficient sustainable energy management circuits and policies for computing systems," [C]  Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), May 2019.
37. Hang Wang, Tiancheng Wang, Longjun Liu, Hongbin Sun and Nanning Zheng, "Efficient Compression-Based Line Buffer Design for Image/Video Processing Circuits,"[J]  IEEE Transactions on Very Large Scale Integration (T-VLSI) Systems, vol. 27, no. 10, pp. 2423-2433, Oct. 2019.
38. Longjun Liu, Hongbin Sun, Chao Li, Yang Hu, Tao Li and Nanning Zheng. “Exploring Customizable Heterogeneous Power Distribution and Management for Datacenter"[J] , IEEE Transactions on Parallel and Distributed Systems (T-PDS), 2018 (CCF A类)
39. Longjun Liu, Hongbin Sun, Chao Li, Tao Li, Jingmin Xin and Nanning Zheng. “Exploring Highly Dependable and Efficient Datacenter Power System Using Hybrid and Hierarchical Energy Buffers "[J], IEEE Transaction on Sustainable Computing (T-SUSC), 2021
40. Baoting Li, Longjun Liu*, Jiahua Liang, Hongbin Sun, Li Geng, Nanning Zheng. "Exploring resource-aware deep neural network accelerator and architecture design," [C] Proceedings of IEEE International Conference on Digital Signal Processing (DSP), Nov. 2018.
41. Xiaoqing Zhao, Hongbin Sun, Longjun Liu, Yang Yang, Liangliang Dai, Xiulong Wu, Ruizhi Zhang, Jianxiao Wang and Nanning Zheng. "Architectural exploration to address the reliability challenges for ReRAM-based buffer in SSD"[J]，IEEE Transactions on Circuits and Systems - I Regular Papers (TCAS-I), 2018. (CCF A类)
42. Longjun Liu, Hongbin Sun, Chao Li, Tao Li, Jingmin Xin and Nanning Zheng. "Managing battery aging for high energy availability in green datacenters"[J], IEEE Transactions on Parallel and Distributed Systems (T-PDS), Vol 28, No. 12, PP. 3521-3536, June, 2017 (CCF A类)
43. Yang Hu, Chao Li, Longjun Liu, and Tao Li. “HOPE: Enabling Efficient Service Orchestration in Software-Defined Data Centers” [C]. Proc. the 30th ACM International Conference on Supercomputing (ICS), Jun. 2016. (CCF B类).
44. Longjun Liu, Hongbin Sun, Chao Li, Yang Hu, Nanning Zheng and Tao Li. "Towards an adaptive multi-power-source datacenter" [C], Proceedings of International Conference on Supercomputing (ICS), Istanbul, Turkey, June 1-3, 2016. (CCF B类)
45. Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Juncheng Gu, Tao Li, Jingmin Xin and Nanning Zheng. HEB: Deploying and managing hybrid energy buffers for improving datacenter efficiency and economy[C]: The 42nd ACM/IEEE International Symposium on Computer Architecture (ISCA), 2015. (CCF A类).
46. Longjun Liu, Hongbin Sun, Chao Li, Yang Hu, Jingmin Xin, Nanning Zheng and Tao Li. RE-UPS: An adaptive distributed energy storage system for dynamically managing solar energy in green datacenters [J]. Journal of Supercomputing (JSC), 2015.
47. Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Juncheng Gu and Tao Li. BAAT: Towards dynamically managing battery aging in green datacenters[C]: The 45th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2015. (CCF B类).
48. Chao Li#, Yang Hu#, Longjun Liu#, Juncheng Gu et al. Towards sustainable in-situ server systems in the big data era [C]: The 42nd ACM/IEEE International Symposium on Computer Architecture (ISCA), 2015(CCF A类).
49. Longjun Liu, Chao Li, Hongbin Sun, Yang Hu, Jingmin Xin, Nanning Zheng and Tao Li. Leveraging heterogeneous power for improving datacenter efficiency and resiliency[J]. IEEE Computer Architecture Letters (CAL), Vol. 14, Iss. 1, Jan.-Jun. 2015.(该论文获得期刊年度最佳论文“Best of CAL”)
50. Chao Li, Rui Wang, Yang Hu, Ruijin Zhou, Ming Liu, Longjun Liu, Jingling Yuan, Tao Li, and Depei Qian. Towards automated provisioning and emergency handling in renewable energy powered datacenters [J]. Journal of Computer Science and Technology (JCST), Vol. 29, No. 4, Jun. 2014.
51. Longjun Liu, Hongbin Sun, Yang Hu, Jingmin Xin, Nanning Zheng and Tao Li. Leveraging distributed UPS energy for managing solar energy powered data centers[C]: The IEEE International Green Computing Conference (IGCC), 2014 .
52. Chao Li, Yang Hu, Ruijin Zhou, Ming Liu, Longjun Liu et al. Enabling datacenter servers to scale out economically and sustainably [C]: The 46th ACM/IEEE International Symposium on Microarchitecture (MICRO), 2013.( CCF A类).
53. Hongbin Sun, Longjun Liu, Qiubo Chen, Baolu Zhai and Nanning Zheng. Design and implementation of a video display processing SoC for full HD LCD TV[C]: The IEEE International SoC Design Conference (ISOCC), 2012.
54. Longjun Liu, Chenyang Ge, Nanning Zhen, Qianmin Li and Huimin Yao. Spatio-temporal adaptive 2D to 3D video conversion for 3DTV[C]: The 30th IEEE International Conference on Consumer Electronics (ICCE), 2012.
55. Longjun Liu, Hongbin Sun, Wenzhe Zhao, Zuoxun Hou, Jingmin Xin and Nanning Zheng. A high performance and low cost video processing SoC for digital HDTV systems[C]: The IEEEInternational Conference on ASIC (ASICON), 2011 (该论文获得优秀学生论文奖“Excellent Student Paper”).
56. Zuoxun Hou, Chenyang Ge, Wenzhe Zhao, Longjun Liu and Nanning Zheng. Design and implementation of high-performance video processor for head-mounted displays[C]: The IEEE International Conference on 3DTV (3DTV-CON), 2010.

已经授权专利：

1. 刘龙军，李宝婷，孙宏滨，梁家华，任鹏举，郑南宁，一种稀疏卷积神经网络加速器及实现方法，中国，授权号：ZL 201811582530.6

2. 刘龙军，杨少飞，孙宏滨，李宝婷，郑南宁，一种支持动态精度的DNN加速器及其实现方法，中国，授权号：ZL 201811646257.9.

3. 高金霞，刘龙军，郑谊焕，高鹏，侯文轩，王军辉，裴丹丹，“一种全牙列咬合监测与智能分析辅助诊疗装置”中国，授权号：ZL 201910036921.6.

4. 刘龙军、赵文哲、侯作勋、孙宏滨、葛晨阳、郑南宁、张晓明、梁巨昌，基于AXI总线的数字电视SOC的存储控制方法[P] 中国 授权号：ZL 201010509615.9

5. 陈秋伯、葛晨阳、郑南宁、赵文哲、刘龙军、侯作勋、姚慧敏，一种基于SDRAM的大屏幕LED显示控制装置及方法[P] 中国 授权号：ZL 201110105524.3
6. 任鹏举，朱梦娇，丁晓彤，樊珑，魏亚东，秦琴，刘龙军，郑南宁 “支持在线学习的卷积神经网络的可重构平台及其构建方法”，中国，授权号：ZL 201710331448.5.
7. 任鹏举，白宇雲，丁晓彤，朱梦娇，魏亚东，樊珑，秦琴，刘龙军，郑南宁 “一种参数化可扩展的神经网络全连接层多层互连结构”，中国，授权号：ZL 201710331078.5.

审查中的专利：

1. 刘龙军, 郑谊焕, 侯文轩, 张昊楠, 李英翔, 孙宏滨, 郑南宁, 基于拆分-融合策略的分布式深度神经网络结构转换方法, 申请号 : CN202110462461.0
2. 刘龙军, 高鹏, 李英翔, 王骁, 雷瑞琪, 孙宏滨, 郑南宁, PS与PL协同架构的同态加密神经网络框架与推理方法, 申请号 : CN202110461086.8
3. 刘龙军, 王军辉, 雷瑞棋, 张衔哲, 朱劲宇, 侯文轩, 郑南宁, 一种基于同态加密技术的深度神经网络加密推理方法, 申请号 : CN202110064852.7
4. 刘龙军, 金焰明, 孙宏滨, 郑南宁, 一种半在线机置的多目标跟踪方法, 申请号 : CN202010754142.2

5. 刘龙军, 杨少飞, 李英翔, 李欣欣, 孙宏滨, 郑南宁, 一种基于通道共享的深度神经网络加速器, 申请号 : CN202010470820.2

集成电路布图设计专有权：

1. 孙宏滨、刘龙军、赵文哲、陈秋伯、侯作勋、赵季中、郑南宁 《数字电视后处理芯片DTV110A》（2014），登记号：BS.145500179
2. 孙宏滨、赵文哲、刘龙军、侯作勋、葛晨阳、郑南宁 《数字电视后处理芯片DTV110》(2011)，登记号：BS105009601
3. 葛晨阳、侯作勋、赵文哲、刘龙军、郑南宁、孙宏滨 《立体显示处理芯片HMD100》(2010)，登记号：BS105009058

获得集成电路布图设计保护3项