著作和期刊论文

课题组GitHub开源工作( https://github.com/xjtuiair-cag)

 

出版著作：

  • 人力资源社会保障部、财政部、工信部、教育部、中国科学院联合推动的“专业技术人才知识更新工程”——《人工智能工程技术人员（人工智能芯片产品实现）初级》 (主编：任鹏举），ISBN：978-7-5129-1800-9，出版社：中国人事出版社，出版日期：2023年9月

 

标准制定：

YD/T3944-2021 中国通信行业标准 《人工智能芯片基准测试评估方法》（行标）

2022-0587T-SJ    全国半导体器件标准化技术委员会集成电路分技术委员会 《人工智能芯片 边缘侧深度学习芯片测试指标与测试方法》（行标）

2022-0588T-SJ    全国半导体器件标准化技术委员会集成电路分技术委员会 《人工智能芯片 端侧深度学习芯片测试指标与测试方法》（行标）

2022-0589T-SJ    全国半导体器件标准化技术委员会集成电路分技术委员会 《人工智能芯片 云侧推理用深度学习芯片测试指标与测试方法》（行标）

2022-0590T-SJ    全国半导体器件标准化技术委员会集成电路分技术委员会 《人工智能芯片 云侧训练用深度学习芯片测试指标与测试方法》（行标）

2023-0003T-SJ 全国集成电路标准化技术委员会 《面向自动驾驶应用的计算芯片 第1部分：技术要求》（行标）

2023-0004T-SJ 全国集成电路标准化技术委员会 《面向自动驾驶应用的计算芯片 第2部分：车载异构计算评测规范》（行标）

2023-0005T-SJ 全国集成电路标准化技术委员会 《面向自动驾驶应用的计算芯片 第3部分：人工智能应用工具链》（行标）

 

期刊论文：

[31] Badong Chen, Yunfei Zheng and Pengju Ren, "Error Loss Networks", IEEE Transactions on Neural Networks and Learning Systems. 2024 35(4): 5256-5268.

[30] Wenzhe Zhao, Guoming Yang,  Tian Xia, Fei Chen and Pengju Ren*, "HIPU: A Hybrid Intelligenct Processing Unit with Fine-grained ISA for Real-Time Deep Neural Network Inference Applications", IEEE Transactions on Very Large Scale Integration Systems, 2023 31(12): 1980-1993.

[29] 夏天、付格林、曲劭儒、罗中沛、任鹏举，“基于高预测性的稀疏矩阵向量乘法并行计算优化”，计算机研究与发展，2023(Accepted).

[28] Wenzhe Zhao, Qiwei Dang, Tian Xia, Jingming Zhang, Nanning Zheng and Pengju Ren*, "Optimizing FPGA-based DNN Accelerator with Shared Exponential Floating-Point Format", IEEE Transactions on Circuits and Systems I: Regular Papers, 2023 70(11): 4478-4491.

[27] Tian Xia, Boran Zhao, Jian Ma, Gelin Fu, Nanning Zheng and Pengju Ren*, "An Energy-and-Area-Efficient CNN Accelerator for Universal Powers-of-Two Quantization", IEEE Transactions on Circuits and Systems I: Regular Papers, 2023 70(3): 1242-1255.

[26] Tian Xia, Gelin Fu, Chenyang Li, Zhongpei Luo, Wenzhe Zhao, Nanning Zheng and Pengju Ren*, "A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization", IEEE Transactions on Parallel and Distributed Systems. 2023 34(2): 519-534.

[25] Boran Zhao, Tian Xia, Haiming Zhai, Fulun Ma, Yan Du, Hanzhi Chang, Wenzhe Zhao and Pengju Ren*, "REMAP: A Spatiotemporal CNN Accelerator Optimization Methodology and Toolkit Thereof", IEEE Transactions on Computer-Aided Design of Integrated Circuit and Systems. 2023  42(5): 1691-1704.

[24] Ziru Wang, Jiawen Liu, Yongqiang Ma, Badong Chen, Nanning Zheng and Pengju Ren*, “Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search” ,IEEE Transactions on Neural Networks and Learning Systems. 2022 33(9): 4361-4372.

[23] Badong Chen, Yuqing Xie, Xin Wang, Zejian Yuan, Pengju Ren and Jing Qin, “Multi-Kernel Correntropy for Robust Learning”, IEEE Transactions on Cybernetics. 2022 52(12): 13500-13511.

[22] Badong Chen, Zhuang Li, Yingsong Li and Pengju Ren, “Asymmetric Correntropy for Robust Adaptive Filtering”, IEEE Transactions on Circuits and Systems II. 2022 69(3): 1922-1926.

[21] Pengchen Zong, Tian Xia, Haoran Zhao, Jianming Tong, Zehua Li, Wenzhe Zhao, Nanning Zheng and Pengju Ren*, “PIT: Processing-In-Transmission with Fine-Grained Data Manipulation Networks” IEEE Transactions on Computers, 2021 70(6): 877-891.

[20] Xi Liu, Zhigang Ren, Hongqiang Lyu, Zhihong Jiang, Pengju Ren and Badong Chen*. “Linear and Nonlinear Regression Based Maximum Correntropy Extended Kalman Filtering”, IEEE Transactions on Systems, Man and Cybernetics: Systems. 2021 51(5): 2168-2216.

[19] Yongqiang Ma, Badong Chen, Pengju Ren*, Nanning Zheng, Giacomo Indiveri, and Elisa Donati “EMG-based gestures classification using a mixed-signal neuromorphic processing system” IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2020 10(4): 578-587.

[18] Lujuan Dang , Badong Chen , Shiyuan Wang , Wentao Ma and Pengju Ren, "Robust Power System State Estimation with Minimum Error Entropy Unscented Kalman Filter" IEEE Transactions on Instrumentation & Measurement. 2020 69(1): 8797-8808.

[17] Hang Wang, Hongbin Sun, Xuchong Zhang, Qiubo Chen, Pengju Ren, Xiaogang Wu, Shouyi Yin, Zhiqiang Jiang, Xiang Li, Daqiang Han, Shiquan Yu, Shaojun Wei, Nanning Zheng*, “A 4Kx2K@60fps Multifunctional Video Display Processor for High Perceptual Image Quality”, IEEE Transactions on Circuits and Systems I，2020 67(2): 451-463.

[16] Tao Yang, Yadong Wei, Zhijun Tu, Haolun Zeng, Michel A.Kinsy, Nanning Zheng and Pengju Ren*，“Design Space Exploration of Neural Network Activation Function Circuits”，IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems. 2019 38(10): 1974-1978. （本科生第一作者）

[15] Ding Xiaotong, Xu Pei, Ren Pengju. Design of FPGA-Based Convolutional Neural Network Model [J]. Aero Weaponry, 2019 26(2): 15-20.

[14] Yicong He, Fei Wang,Shiyuan Wang, Pengju Ren，Badong Chen*,“Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links”, IEEE Transactions on Circuit and Systems II. 2019 66(2): 307-311.

[13] Yongqiang Ma, Ziru Wang, Siyu Yu, Badong Chen, Nanning Zheng and Pengju Ren*. “A Novel Spiking Neural Network of Receptive Field Encoding with Groups of Neurons Decision”, Frontiers of Information Technology and Electronic Engineering. 2018 19(1):139-150.

[12] Yongqiang Ma, Hao Wu, Mengjiao Zhu, Pengju Ren, Badong Chen and Nanning Zheng*, "Reconstruct Visual Image from functional Magnetic Resonance Imaging Using Spiking Neuron Model". IEEE Transactions on Cognitive and Developmental Systems. 2018 10(3): 624-636.

[11] Nanning Zheng*, Ziyi Liu, Pengju Ren, Yongqiang Ma, Shitao Chen, Siyu Yu, Jianru Xue, Badong Chen, Feiyue Wang "Hybrid-augmented intelligence: collaboration and cognition", Frontiers of Information Technology and Electronic Engineering. 2017 18(2):153-179.

[10] Pengju Ren*, Xin Zhang, Hongwei Bi, Hongbin Sun and Nanning Zheng “Towards an Efficient Multiview Display Processing Architecture for 3DTV”, IEEE Transactions on Circuit and Systems II. 2017 64(6): 705-709.

[9] Pengju Ren*，Badong Chen, Zejian Yuan and Nanning Zheng, “Toward robust visual cognition through brain-inspied computing , A Sponsored Supplement to Science, vol. Brain-Inspired intelligent robotics: The intersection of robotics and neuroscience, 2016:16-20.

[8] Pengju Ren*, Michel A.Kinsy and Nanning Zheng “Fault-Aware Load-Balancing Routing for 2D-Mesh and Torus On-Chip Network Topologies” IEEE Transactions on Computers, 2016 65(3), 873-887.

[7] Pengju Ren*, Xiaowei Ren, Sudhanshu Sane, Michel A. Kinsy and Nanning Zheng “A Deadlock-Free and Connectivity-Guaranteed Methodology for Achieving Fault-tolerance in On-chip Networks” IEEE transactions on Computers, 2016 65(2): 353-366.

[6] 郑南宁*、任鹏举、陈霸东、吴昊，“类脑（受脑启发的）计算的问题与视觉认知”，中国自动化学会通讯，第37卷，第2期（总第185期），pp16-37.

[5] Wei Liu, Nanning Zheng, Zejian Yuan, Pengju Ren*, Tao Wang “Robust monocular SLAM towards motion disturbance” Chinese Science Bulletin, 2014 59(17): 2050-2056.

[4] Dong Wang*, Pengju Ren, Leibo Liu “A high-throughput fixed-point divider for FPGAs”, IEICE Electronics Express, 2013 10(4): 1-8.

[3] Pengju Ren, Mieszko lis, Myong Hyon Cho, Keun Sup Shim, Christopher W. Fletcher, Omer Khan, Nanning Zheng and Srinivas Devadas*，"HORNET: a cycle-level mulitcore simulator" IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems, 2012 31(6): 890-903.

[2] Hongbin Sun, Pengju Ren, Tong Zhang, Tao Li, Nanning Zheng* “Architecting High-Performance Energy-Efficient Soft Error Resilient Cache under 3D Integration Technology” Microprocessors and Microsystems-Embedded Hardware Design, 2011 35(4):371-381.

[1] Chenyang Ge*, Nanning Zheng and Pengju Ren, “VLSI design of the image scaling IP core with the mixed interpolation algorithm.” Journal of XiDian University. 2010 37(1): 158-162.

会议论文

[38] Yan Ding, Yijun Mao, Chongshan Jiao and Pengju Ren*, "Towards Optimal Lane-changing Coordinating of CAVs in Multi-lane Mixed Traffic Secenarios", 2024 IEEE International Conference on Robotics and Automation (ICRA) (Accepted).

[37] Gelin Fu, Tian Xia, Zhongpei Luo, Ruiyang Chen, Wenzhe Zhao and Pengju Ren*, "Differential-Matching Prefetcher for Indirect Memory Access", 2024 The 30-th IEEE International Symposium on High-Performance Computer Architecture (HPCA) (Accepted).

[36] Gelin Fu,  Tian Xia, Shaoru Qu, Zhongpei Luo, Shuyu LI, Pengyu Cheng, Runfan Guo, Titong Ding and Pengju Ren*, "PrSpMV: An Efficient Predicatble Kernel for SpMV" 2023 The 41th IEEE International Conference on Computer Design (ICCD), pp.448-456.

[35] Lili Shi, Haiduo Huang, Bowei Song, Meng Tan, Wenzhe Zhao and Pengju Ren*, "TAQ: Top-K Attention-aware Quantization For Vision Transformers", 2023 IEEE International Conference on Image Processing (ICIP), pp. 1750-1754.

[34] Yijun Mao, Yan Ding, Chongshan Jiao and Pengju Ren*, "UCLF: An Uncertainty-Aware Cooperative Lane-Changing Framework for Connected Autonomous Vehichles in Mixed Traffic", 2023 IEEE Intelligent Vehicles Symposium (IV), pp.1-8. 

[33] Zhijun Tu, Xinghao Chen, Pengju Ren*, Yunhe Wang, "AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets", European Conference on Computer Vision (ECCV),2022, pp.379-395.

[32] Lingfeng Chen, Tian Xia, Wenzhe Zhao and Pengju Ren*, “MI2D: Accelerating Matrix Inversion with 2-Dimensional Tile Manipulations”, The 32th ACM Great Lakes Symposium on VLSI (GLSVLSI)，2022, pp 423-429. (本科生第一作者)

[31] Cheng Wang, Yingkun Liu, Kedai Zuo, Jianming Tong, Yan Ding and Pengju Ren*, “acSLAM: FPGA Accelerated High-Accuracy SLAM with Heapsort and Parallel Keypoint Extractor”, 2021 International Conference on Field-Programmable Technology (FPT'21), pp 1-9. (本科生第一作者)

[30] Fan Xiong, Mingrui Yu, Yan Ding, Wenzhe Zhao, Nanning Zheng and Pengju Ren*, “A Lightweight sequence-based Unsupervised Loop Closure Detection”, 2021 International Joint Conference on Neural Networks (IJCNN), pp 1-8.

[29] Wang Youzhuo, Zhao Wenzhe, Xia Tian, Zheng Nanning and Ren Pengju*, “Joint Critic Mechanism: A Universal Framework for Multi-targets Visual Navigation”, 2021 International Joint Conference on Neural Networks (IJCNN), pp1-6.

[28] Zhijun Tu, Ma Jian, Xia Tian, Zhao Wenzhe, Ren Pengju* and Zheng Nanning, “CAQ:Context-Aware Quantization via Reinforcement Learning”, 2021 International Joint Conference on Neural Networks (IJCNN), pp 1-8.

[27] Chenyang Li, Tian Xia, Wenzhe Zhao, Nanning Zheng and Pengju Ren, “SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV”, The 58st Annual ACM/IEEE Design Automation Conference (DAC'58), 2021. pp 661-666. (本科生第一作者)

[26] Haoran Zhao, Tian Xia, Chenyang Li, Wenzhe Zhao, Nanning Zheng and Pengju Ren*, “Exploring Better Speculation and Data Locality in Sparse Matrix-Vector Multiplication on Intel Xeon” The 38th IEEE International Conference on Computer Design (ICCD), 2020, pp 601-609. （本科生第一作者)

[25] Zhiwei Dong, Guoxuan Li, Yue Liao, Fei Wang, Pengju Ren and ChenQian, “CentripetalNet：Pursuing High-quality Keypoint Pairs for Object Detection”，IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp 10519-10528.

[24] Tian Xia, Pengchen Zong, Haoran Zhao, Jianming Tong, Wenzhe Zhao, Nanning Zheng and Pengju Ren* “COCOA: Content-Oriented Configurable Architecture based on Highly-Adaptive Data Transmission Networks” The 30th ACM Great Lakes Symposium on VLSI (GLSVLSI)，2020, pp 253-258.

[23] Yongqiang Ma, Elisa Donati, Giacomo Indiveri, Badong Chen, Pengju Ren and Nanning Zheng “Neuromorphic Implementation of a Recurrent Neural Network for EMG Classification” 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020, pp 69-73.

[22] Jiayan Yang, Zhiwei Dong and Pengju Ren*, “Scene Graph Generation for Relation Recognition” 2019 Chinese Automation Congress.（本科生第一作者)

[21] Zirui Zhao, Yijun Mao, Yan Ding, Pengju Ren* and Nanning Zheng, “Visual-Based Semantic SLAM with Landmarks for Large-Scale Outdoor Environment”, The 2nd China Symposium on Cognitive Computing and Hybrid Intelligence.2019. pp 149-154.（本科生第一作者)

[20] Hang Wang, Hongbin Sun, Xuchong Zhang, Qiubo Chen, Pengju Ren, Xiaogang Wu, Shouyi Yin, Zhiqiang Jiang, Xiang Li, Daqiang Han, Shiquan Yu, Shaojun Wei, Nanning Zheng*，“A 4K×2K@60fps Multi-format Multi-function Display Processor for High Perceptual Quality”, 2018 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2018: 427-430.

[19] Zishuo Zheng, Yadong Wei, Zhixu Zhao, Xindi Wu, Zhengcheng Li and Pengju Ren*, “Multitask Learning with Enhanced Modules”, IEEE International Conference on Digital Signal Processing (DSP).2018.（本科生第一作者)

[18] Yadong Wei, Zishuo Zheng, Zhixu Zhao, and Pengju Ren*“Activations Quantization for Compact Neural Networks”, IEEE International Conference on Digital Signal Processing (DSP).2018.

[17] Ziru Wang, Yongqiang Ma, Zhiwei Dong, Nanning Zheng and Pengju Ren* “Spiking Locality-Sensitive Hash: Spiking Computation with Phase Encoding Method” 2018 International Joint Conference on Neural Networks (IJCNN), pp 1-8.

[16] Pengju Ren*, Michel A. Kinsy, Mengjiao Zhu and Nanning Zheng "Towards Connectivity-Guaranteed Power-gating Large-scale On-chip Networks", The 7'th International Green and Sustainable computing conference (IGSC, formerly known as IGCC), Nov 7-9, 2016.

[15] Qihang Yu, Yongqiang Ma, Badong Chen, Nanning Zheng and Pengju Ren* “A Reconfigurable Parallel FPGA Accelerator for the Adapt-Then-Combine Diffusion LMS Algorithm” appear to 2016 IEEE International Symposium on Circuits & Systems (ISCAS), May. 2016.

[14] Xiaowei Ren, Qihan Yang, Badong Chen, Nanning Zheng and Pengju Ren* “A Reconfigurable Parallel FPGA Accelerator for the Kernel Affine Projection Algorithm” 2015 IEEE International Conference on Digitial Signal Processing (DSP), July. 2015, pp 906-910.

[13] Pengju Ren*, Chenxi Yang, Kang Hu and Nanning Zheng “DC2: A Distributed Cut-Components Detection Algorithm for Large-scale On-Chip Networks” The 52st Annual ACM/IEEE Design Automation Conference (DAC'52), 2015.

[12] Xiaotong Ding, Chenxi Yang, Xiaowei Ren and Pengju Ren* “Bandwidth-Based Application-Aware Multipat Routing for NoCs”, International Conference on Computer Information Systems and Industrial Applications (CISIA), June 28-29, 2015, pp 29-35.

[11] Chenxi Yang, Xiaotong Ding, Xiaowei Ren and Pengju Ren* “An Intermediate Node based Deterministic Fault Tolerant Routing in 2D Mesh”, International Conference on Computer Information Systems and Industrial Applications (CISIA), June 28-29, 2015, pp 483-488.

[10] Jiangyu, Geng liu, Xin Zhang and Pengju Ren* “A High Efficient Hardware Architecture for Multiview 3DTV” Proceedings of 20th Asia and South Pacific Design Automation Conference, (ASP-DAC), Jan19-22, 2015, pp 22-23.

[9] Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng and Pengju Ren* “A Real-time Permutation Entropy Computation for EEG Signals” Proceedings of 20th Asia and South Pacific Design Automation Conference, (ASP-DAC), Jan19-22, 2015, pp 20-21.

[8] Xiaowei Ren, Qihang Yu, Badong Chen, Nanning Zheng and Pengju Ren* “A 128-way FPGA Platform for the Acceleration of KLMS Algorithm” Proceedings of 20th Asia and South Pacific Design Automation Conference, (ASP-DAC), Jan19-22, 2015, pp18-19.

[7] Xiaowei Ren, Pengju Ren*, Badong Cheng, J.principe, Nanning Zheng “A Reconfigurable Parallel Acceleration Platform for Evaluation of Permutation Entropy” 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Aug26-30, 2014 pp 5735-5738.

[6] Pengju Ren*, Qingxin Meng, Xiaowei Ren, Nanning Zheng “Fault-tolerant Routing for On-chip Network Without Using Virtual Channel”, Proceeding of the 51st Annual ACM/IEEE Design Automation Conference (DAC'51), June1-6, 2014, pp1-6.

[5] Xiaowei Ren, Pengju Ren*, Badong Chen, Tai min and Nanning Zheng “Hardware Implementation of KLMS Algorithm using FPGA” 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, pp: 2276-2281.

[4] Qianmin Li, Chenyang Ge*, Pengju Ren, Huimin Yao, “Depth Map Generation from Geometry and Motion” International Conference on Digital Image Processing (ICDIP), Proceedings of the SPIE, Volume 8878, 2013.

[3] Mieszko Lis, Pengju Ren, Keun Sup Shim, Myong Hyon Cho, Omer Khan, Srinivas Devadas* “Scalable, Accurate multicore Simulation in the 1000-core era” , IEEE International Symposium on Performance Analysis of Systems and Software(ISPASS),  2011 pp 175-185.

[2] Dong Wang*, Nanning Zheng, Pengju Ren “A New Ringing Detection Based Adaptive Video Scaler with Parallel Memory Architecture” IEEE Conference on Industrial Electronics and Application (ICIEA) 2008, pp 2040-2543.

[1] Hongbin Sun*, Nanning Zheng, Chenyang Ge, Dong Wang and Pengju Ren “An Efficient Motion Adaptive De-interlacing and Its VLSI Architecture Design” IEEE Annual Symp. on VLSI (ISVLSI) 2008, pp 455-458.

申请及授权专利

申请专利

[27] Tian Xia, Pengju Ren, Haoran Zhao, Zehua Li, Wenzhe Zhao, Nanning Zheng, “Large-scale data processing computer architecture”, US Patent App. 17/864,014, Patent No.11886347，公开日：2024.1.30

[26] 任鹏举，景鑫，丁焱，焦崇珊，赵文哲，夏天，孙海燕，“基于异构多处理系统的AGV控制器”，中国，申请号：202311324085.4，申请日：2023.10.13

[25] 杨勐，赵大龙，丁焱，陈荣海，王荣鑫，任鹏举，郑南宁，“一种兼容局部避障功能的多AGV导航方法及系统”，中国，申请号：202310215192.7，申请日：2023.03.07

[24] 杨勐，温源，丁焱，陈荣海，王荣鑫，吴江凡，任鹏举，郑南宁，“一种基于环境感知的3D目标检测方法及系统”，中国，申请号：202310214663.2，申请日：2023.03.07

[23] 任鹏举，焦崇珊，丁焱，毛艺钧，杨勐，郑南宁，“一种多AGV协同感知方法”，中国，申请号：202211321955.8，申请日：2022.11.01

[22] 任鹏举，毛艺钧，丁焱，焦崇珊，杨勐，郑南宁，“基于优先级的集中式多AGV多径通道变道决策规划方法”，中国，申请号：202211321954.3，申请日：2022.11.01

[21] 任鹏举，毛艺钧，丁焱，焦崇珊，杨勐，郑南宁,“基于流量的多AGV全局调度方法”，中国，申请号：202211323177.6，申请日：2022.11.01

[20] 任鹏举，宋翔，丁焱，景鑫，于航，郑南宁,“一种多AGV协同工作系统”，中国，申请号：202211323178.0，申请日：2022.11.01

[19] 赵文哲，林晓云，霍志旺，楼薇，张先娆，夏天，任鹏举，“增强神经网络卷积运算数据复用度的高速缓存实现方法”，中国，申请号：202210924541.8，申请日：2022.08.02

[18] 赵文哲，楼薇，马澄宇，黄静雯，杨国茗，夏天，任鹏举，“一种提高神经网络MAC使用率的多层级联结构”，中国，申请号：202210113834.8，申请日：2022.08.02

[17] 赵文哲，胡康，党祺玮，马澄宇，黄静雯，夏天，任鹏举，“一种加速神经网络计算的多NPU级联结构”，中国，申请号：202210114248.5，申请日：2022.08.02

[16] 任鹏举，党祺玮，陈飞，黄晓帆，张先娆，赵文哲，夏天，“一种高效的神经网络前处理方法”，申请号：202210114249.X，申请日：2022.08.02

[15] 任鹏举，林晓云，赵文哲，党祺玮，刘汉威，夏天，“适合通用硬件电路的神经网络数据存储格式转换方法”，申请号：202210114250.2，申请日：2022.08.02

[14] 赵文哲，杨国茗，夏天，党祺玮，任鹏举，“基于RISC-V的拓展VM指令集编码方法”，申请号：202210115581.8，申请日：2022.08.02

[13] 夏天，刘汉威，马澄宇，党祺玮，赵文哲，任鹏举，“一种基于复杂指令集的RISC-V核及其AI处理器”，申请号：202210115364.9，申请日：2022.08.02

[12] 赵文哲，陈飞，林晓云，胡康，夏天，任鹏举，“基于RISC-V扩展的通用神经网络处理器微架构”，申请号：202210115361.5，申请日：2022.08.02

[11] 任鹏举，陈飞，赵文哲，胡康，杨国茗，夏天，“一种神经网络处理器复杂指令集微架构”，申请号：202210113814.0，申请日：2022.08.02

[10] 任鹏举，陈飞，赵文哲，黄晓帆，杨国茗，夏天，“一种通过算法控制单元进行调度计算的硬件结构”，申请号：202210115362.X，申请日：2022.08.02

[9] 任鹏举，林晓云，霍志旺，楼薇，张先娆，赵文哲，夏天，“一种兼容多维度矩阵乘法的运算单元”，申请号：202210115310.2，申请日：2022.08.02

[8] 任鹏举，林晓云，霍志旺，张先娆，楼薇，赵文哲，夏天，“一种兼容非对称多精度混合乘累加运算的运算单元”，申请号：202210115365.3，申请日：2022.08.02

[7] 赵文哲，胡康，张景铭，付格林，夏天，任鹏举，“一种用于神经网络推理加速的低功耗浮点乘累加运算方法”，申请号：202210115582.2，申请日：2022.08.02

[6] 任鹏举，林晓云，夏天，霍志旺，付格林，赵文哲，“一种卷积运算的硬件自动padding的方法”，申请号：202210115363.4，申请日：2022.08.02

[5]任鹏举，宋翔，丁焱，景鑫，焦崇珊，毛艺钧，于航，“一种基于深度学习的特征点检测与描述子生成方法”，申请号：202210024765.3，申请日：2022.01.11

[4] Tian Xia, Linfeng Chen, Wenzhe Zhao, Pengchen Zong, Pengju Ren and Nanning Zheng，“Multifunctional data reorganization network”, PCT/CN2021/073039, US Patent App. 17/685,167，申请日：2021.1.21.

[3] 任鹏举，涂志俊，马建，夏天，赵文哲，陈飞，郑南宁，“强化学习自动感知权重分布的卷积神经网络量化方法”，中国，申请号：202110134308.5，申请日：2021.02.01

[2] Tian Xia, Pengju Ren, Haoran Zhao, Zehua Li, Wenzhe Zhao and Nanning Zheng，“Computing Architecture”, PCT/CN2020/087814

[1] 任鹏举，张如良，“一种基于物联网的可复用、可扩展监控系统及监控方法”，中国，申请号：201811603350.1，申请日：2019.03.19

 

授权专利

[31] 任鹏举，李创，丁焱，赵子瑞，毛艺钧，郑南宁，“基于视觉融合地标的拓扑地图生成方法”，中国，专利号：ZL202010045875.9，授权公告号：CN111210518B，申请日：2020.01.15，授权公告日：2022.04.05

[30] 任鹏举，曹琳阁，丁焱，李创、熊帆、李凌阁、郑南宁，“基于视觉的拓扑地图生成方法”，中国，专利号：ZL202010041500.5，授权公告号：CN111340870B，申请日：2020.01.15，授权公告日：2022.04.01

[29] 夏天，陈凌峰，赵文哲，宗鹏陈，任鹏举，郑南宁，“一种多功能的数据重组网络”，中国，专利号：ZL202180003140.2，授权公告号：CN113795831B，申请日：2021.01.21，授权公告日：2023.09.12

[28] 任鹏举，李凌阁，丁焱，景鑫，赵文哲，夏天，郑南宁，“一种语义分割辅助的双目视觉无监督深度估计方法”，中国，专利号：ZL202110329765.X，授权公告号：待生成，申请日：2021.03.26，授权公告日：待生成

[27] 任鹏举，胡康，赵文哲，陈飞，林晓云，楼薇，夏天，郑南宁，“用于通道均衡传输的路由节点”，中国，专利号：ZL202110165948.2，授权公告号：CN113014497B，申请日：2021.02.05，授权公告日：2022.08.09

[26] 任鹏举，张均旺，丁焱，景鑫，赵文哲，夏天，郑南宁， “一种基于强化学习的视觉拓扑导航方法”，中国，专利号：ZL202110226995.3，授权公告号：CN113029145B，申请日：2021.03.01，授权公告日：2022.08.09

[25] 夏天，任鹏举，赵浩然，李泽华，赵文哲，郑南宁“一种计算架构”，中国，专利号：ZL202010343215.9，授权公告号：CN111522776B，申请日：2020.04.27，授权公告日：2022.04.05

[24] 任鹏举，熊帆，丁焱，李创、李凌阁、曹琳阁，郑南宁，“基于视觉拓扑节点和惯性导航的定位方法”，中国，专利号：ZL202010045872.5，授权公告号：CN111220153B，申请日：2020.01.15，授权公告日：2021.10.01

[23] 陈霸东，李炳辉，谢宇清，任鹏举，郑南宁，“一种高效的基于快速随机扩展树的路径规划方法”，中国，专利号：ZL202110218627.4，授权公告号：CN112947459B，申请日：2021.02.26，授权公告日：2023.03.28

[22] 陈霸东、秦雪梅、任鹏举、袁泽剑、郑南宁，“基于功率谱密度和互相关熵谱密度融合的特征提取方法”，中国，专利号：ZL201910208851.8, 授权公告号：CN110059564B，申请日期：2019.03.19，授权公告日：2021.01.19

[21] 任鹏举，樊珑、赵博然、宗鹏陈、陈飞、郑南宁，“一种可灵活配置的神经网络计算单元、计算阵列及其构建方法”，中国，专利号：ZL201811133940.2，授权公告号：CN109409512B，申请日：2018.09.27，授权公告日：2021.02.19

[20] 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，专利号：ZL201811582530.6，授权公告号：CN109635944B，申请日：2018.12.24，授权公告日：2020.10.27.

[19] Pengju Ren，Long Fan，Boran Zhao; Pengchen Zong; Wenzhe Zhao; Badong Chen; Nanning Zheng, "Parallel Computing System", America, 专利号：US10911522B2, 申请日：2018.11.14，授权日：2021.02.02

[18] 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，专利号：ZL201710331448.5，授权公告号：CN107273970B，申请日：2017.05.11，授权公告日：2020.06.19

[17] 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，专利号：ZL201710331078.5，授权公告号：CN107273969B，申请日：2017.5.11.，授权公告日：2020.06.19

[16] 任鹏举，樊珑、赵博然、宗鹏陈、赵文哲、陈飞、陈霸东、郑南宁，“一种并行计算的系统”，中国，专利号：ZL201811177771.2，授权公告号：CN109445752B，申请日：2018.10.10，授权公告日：2019.10.15

[15] 任鹏举，张如良，“一种基于物联网的可复用、可扩展监控系统”，中国，专利号：CN201822213144.1，授权公告号：CN209167908U，申请日：2018.12.26，授权公告日：2019.07.26

[14] 任鹏举，吴晓刚，毕宏伟，孙宏滨，陈霸东，郑南宁，“一种兼容不同分辨率和宽长比的多视频缩放模块及并行工作方法”，中国，专利号：ZL201710332008.1，授权公告号：CN107147890B，申请日：2017.5.11，授权公告日：2018.12.07

[13] Pengju Ren, et.al “Parallel Scaling engine for multi-view 3DTV display and method thereof”, America, 专利号：US 9924153 B2，申请日：2015.10.29，授权日：2018.03.20

[12] 任鹏举，余江，刘庚，孙宏滨，赵季中，郑南宁，“兼容2D与多视点裸眼3D显示的视频处理装置及方法”，中国，专利号：ZL201410136474.9，授权公告号：CN103945B，申请日：2014.04.04，授权公告日：2015.11.11

[11] 任鹏举，刘庚，余江，孙宏滨，刘跃虎，郑南宁，“一种针对多视点裸眼3D显示的并行同步缩放引擎及方法”，中国，专利号ZL201410167890.5，授权公告号：CN103945208B, 申请日：2014.04.24，授权日：2015.10.28

[10] 任鹏举，葛晨阳，孟庆欣，王全响，杨挺，刘卜，郑南宁，“一种基于通道依赖关系图的片上互联网络容错路由方法”，中国，专利号：ZL201210083054.X，授权公告号：CN102761475B，申请日：2012.03.27，授权日：2015.08.05

[9] 任鹏举，葛晨阳，李倩敏，陈磊，江豪，姚慧敏，郑南宁，“一种2D转3D技术中易于硬件实现的运动向量提取方法” 中国，专利号：ZL201210076219.0，授权公告号：CN102622770B，申请日：2012.03.21，授权日：2014.09.03

[8] 任鹏举，葛晨阳，李倩敏，陈磊，江豪，姚慧敏，郑南宁，“一种针对富含几何信息的视频信号的消逝点检测方法” 中国，专利号：ZL201210072547.3，授权公告号：CN102663737B，申请日：2012.03.19，授权日：2014.07.23

[7] 郑南宁，任鹏举，侯作勋，王东，杨珏，刘跃虎，葛晨阳、赵季中，“一种视频解码器亮度色度分离模块中运动检测方法及装置”，中国，专利号：ZL200910021069.1，授权公告号：CN101489032B，申请日：2009.02.06，授权公告日：2011.08.31

[6] 任鹏举，葛晨阳，何婷，魏伟，孙宏滨，梅魁志，赵季中，张超，“双目立体显示视频处理的存储器存储及读写控制方法”，中国，专利号：ZL200910023987.8，授权公告号：CN101651809B，申请日：2009.09.22，授权公告日：2011.06.01

[5] 任鹏举，葛晨阳，何婷，魏伟，孙宏滨，梅魁志，赵季中，冯耀，“处理交错式行交叉立体复合视频信号的装置及方法”，中国，专利号：ZL200910023988.2，授权公告号：CN101651810B，申请日：2009.09.22，授权公告日：2011.01.05

[4] 郑南宁，任鹏举，葛晨阳，刘跃虎，赵季中，王东，马延磊，杨珏，“一种基于3D自适应梳状滤波的视频信号解码器”，中国，专利号：ZL200810017859.8，授权公告号：CN100584038C，申请日：2008.04.01，授权公告日：2010.01.20

[3] 郑南宁，王东，葛晨阳，任鹏举，卢开芳，罗亮，“一种基于多相滤波技术的自适应视频图像缩放引擎”，中国，专利号：ZL2007103077043，授权公告号：CN100576881C，申请日：2007.12.16，授权公告日：2009.12.30

[2] 郑南宁，孙宏滨，杨小露，葛晨阳，王东，任鹏举，刘伟，李珺珂，李仁男，“一种集成于视频处理芯片的图形OSD控制器”，中国，专利号：ZL200710018552.5，授权公告号：CN100576893C，申请日：2007.08.28，授权公告日：2009.12.30

[1] 郑南宁，李永，尹擎，葛晨阳，孙宏滨，王东，任鹏举，刘伟，“一种利于实现数字视频图像缩放插值的行场信号产生方法”，中国，专利号：ZL200510096293.9，授权公告号：CN100386797C，申请日：2005.11.03，授权公告日：2008.05.07