Longjun Liu   PhD，

Associate Professor                         

National Key Laboratory of Human Machine Hybrid Augmented Intelligence， Institute of Artificial Intelligence and Robotics,

College of Artificial Intelligence,   Xi'an Jiaotong University

Longjun Liu is an Associate Professor of Xi'an Jiaotong University. He received his Ph.D. degree in Pattern Recognition and Intelligent Systems 

from Department of Automation at Xi'an Jiaotong University University in 2015. From 2012 to 2014, he was a visiting scholar with 

University of Florida, Gainesville  FL, USA. He joined Xi'an Jiaotong University in 2015. His research interests include Computer Architecture, 

Deep Learning and Artificial Intelligence, Image/Video Processing and Digtal IC design with FPGA/VLSI/SOC.

Research Fields: Computer Architecture, Artificia Intelligence，Computer Vision, Digtal IC Design.

• Effiencient Computer Architecture Design, Green Computing.

• Image/Video Processing，Perception for Intelligent Agent

• Deep Learning，Artificia Intelligence (AI)， Model Compression

• Domain Specific Computing Architecture Design, Accelerators

• FPGA, SoC, ASIC Deisgn for Intelligent System

Undergraduate Students

• COMP300327-computer program (2019-2020, 2020-2021, 2021-2022, 2022-2023, 2023-2024,2024-2025, 2025-2026)

• AUTO500427-Game Articifial Intelligence (2021-2022, 2022-2023, 2023-2024)

• AUTO300505-Electronic Technology and System (2019-2020, 2020-2021, 2023-2024,2025-2026)

----------------------------------------------------------------------------------------

 Graduate Student

• AUTO714005---Tools,Platform and System for Machine Leaning (2021-2022, 2022-2023, 2023-2024, 2024-2025, 2025-2026)

Notes:  * indicates that I am the corresponding author and my graduate students is the first author.

1. Xinyu Lei, Xuan Wang， Longjun Liu*, Haoteng Li, Haonan Zhang, “LeOp-GS: Learned Optimizer With Dynamic Gradient Update for Sparse-View 3DGS”[J], IEEE Transactions on Visualization and Computer Graphics(TVCG), 2025 .
2. Haonan Zhang, Longjun Liu*, Fei Hui, Bo Zhang et,al., “CLEAN: Category Knowledge-Driven Compression Framework for Efficient 3D Object Detection”[J], IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2025.
3. Zhao Yang, Yinan Shi, Jiangtong Zhu, Weixiang Xu and Longjun Liu*  “Towards Accurate Semi-Supervised BEV 3D Object Detection with Depth-aware Refinement and Denoising-aided Alignment”[C], IEEE International Conference on Robotics and Automation (ICRA), 2025 .
4. Xiaoliang Jia, Hong Tang, Xiqin Zheng, Yingke Gao, Longjun Liu*  “An FPGA-based Real-Time Optical Flow Accelerator for Recurrent All-Pairs Field Transforms”[C], The 58th IEEE International Symposium on Circuits and Systems (ISCAS), 2025.
5. Yuqi Huang, Longjun Liu*, Yingke Gao, Haonan Zhang and Haoteng Li, “D2S: Towards Efficient Sparse 3D Object Detection via Dense to Sparse Knowledge Distillation”[C],  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 2025.
6. Haoteng Li, Zhao Yang, Zezhong Qian ... and Longjun Liu*, “DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion”[C], IEEE International Conference on Robotics and Automation (ICRA), 2025 .
7. Xiaodong Deng, Shijie Wang, Tianyi Gao, Jing Liu, Longjun Liu, Nanning Zheng, “AMA: An Analytical Approach to Maximizing the Efficiency of Deep Learning on Versal AI Engine”[C], The 34th International Conference on Field-Programmable Logic and Applications (FPL), 2024.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. Shijie Wang, Xiaodong Deng, et al, Longjun Liu*, “FPGA-based Acceleration of Structured Light Depth Estimation", [C], Chinese Automation Congress (CAC), 2022.
16. 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.
17. 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.
18. 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
19. 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.  
20. 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
21. 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
22. 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
23. Lankun Li, Wancheng Liu, Ruiqi Lei, Longjun Liu*, “Design and Implementation of Infrared Image Preprocessing System basedon FPGA” [C], Chinese Automation Congress (CAC), 2021. 
24. 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
25. 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. 
26. 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.
27. 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
28. 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.
29. 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.
30. 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
31. 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. 
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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 
42. 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
43. 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.
44. 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. 
45. 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 
46. 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).
47. 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)
48. 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. 
49. 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.
50. 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).
51. 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
52. 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.(“Best of CAL”)
53. 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.
54. 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 .
55. 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.
56. 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.
57. 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.
58. 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 (“Excellent Student Paper”).
59. 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.

Office 1:                                                          Office 2:

Room 202, Yifu Science Building,                    Room 4-2173, #4 Building,

Xingqing Campus                                            iHARBOUR Campus

Xi'an Jiaotong University                                Xi'an Jiaotong University                        

E-mail: liulongjun@xjtu.edu.cn

Address: No.28, West Xianning Road, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049,P.R. China