期刊论文：
[37] Boran Zhao, Zihang Yuan, Hetian Liu, Yanbin Hu, Haiming Zhai, Haoruo Zhang, Wenzhe Zhao, Tian Xia and Pengju Ren, “IsoSched: Preemptive Tile Cascaded Scheduling of Multi-DNN via Subgraph Isomorphism”, IEEE Transactions on Computer-Aided Design of Integrated Circuit and Systems (TCAD). (Accepted)
[36] Zhiwang Huo, Wenzhe Zhao, Yuanchang Gong, Tian Xia, Zheng Wang, and Pengju Ren, “A Group-Wise Add–Multiply–Shift–Accumulate Datapath for Efficient DNN Accelerators”, IEEE Transactions on Very Large Scale Integration Systems (TVLSI). (Accepted).2026
[35] Boran Zhao, Hetian Liu, Zihang Yuan, Li Zhu, Fan Yang, Lina Xie, Tian Xia, Wenzhe Zhao and Pengju Ren, “AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training”, IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-1). (Early Access) 2026
[34] Qiwei Dang, Chengyu Ma, Haiduo Huang, Gelin Fu, Zhiwang Huo, Guoming Yang, Pengchen Zong, Tian Xia, Wenzhe Zhao, and Pengju Ren, “FP2: A 2-Bit Floating-Point Format for Edge-AI Inference and Fine-Tuning”, IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-1). (Early Access) 2025
[33] Zhiwang Huo,Wenzhe Zhao,Qiwei Dang,Chengyu Ma,Guoming Yang,Gelin Fu,Tian Xia and Pengju Ren, “Hierarchical-ISA Supporting Row-wise Operands for Efficient DNN Computation”, IEEE Transactions on Computer-Aided Design of Integrated Circuit and Systems (TCAD). (Early Access) 2025
[32] Boran Zhao,Haiming Zhai,Zihang Yuan,Hetian Liu,Tian Xia,Wenzhe Zhao, and Pengju Ren, “SparseMap: A Sparse Tensor Accelerator Framework Based on Evolution Strategy”, IEEE Transactions on Computer-Aided Design of Integrated Circuit and Systems (TCAD). (Early Access) 2025
[31] Badong Chen, Yunfei Zheng and Pengju Ren, “Error Loss Networks”, IEEE Transactions on Neural Networks and Learning Systems (TNNLs). 2024 35(4): 5256-5268.
[30] Wenzhe Zhao, Guoming Yang, Tian Xia, Fei Chen and Pengju Ren*, “HIPU: A Hybrid Intelligent Processing Unit with Fine-grained ISA for Real-Time Deep Neural Network Inference Applications”, IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 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 (TCAS-1), 2023 70(11): 4478-4491.
[27] Tian Xia, Boran Zhao, Jian Ma, Gelin Fu, Wenzhe Zhao, 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 (TCAS-1), 2023 70(3): 1242-1255.
[26] Tian Xia, Gelin Fu, Chenyang Li, Zhongpei Li, 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 (TPDS). 2023 4(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(TCAD). 2023. (42)5: 1691-1704.
[24] Badong Chen, Yuqing Xie, Xin Wang, Zejian Yuan, Pengju Ren and Jing Qin, “Multikernel Correntropy for Robust Learning”, IEEE Transactions on Cybernetics (TC). 2022. 52(12): 13500-13511.
[23] 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 (TNNLs). 2022 33(9): 4361-4372.[22] Badong Chen, Zhuang Li, Yingsong Li and Pengju Ren, “Asymmetric Correntropy for Robust Adaptive Filtering”, IEEE Transactions on Circuits and Systems II (TCAS-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 (TC), 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 (TSMCS). 2021 51(5): 3093-3102.
[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 (JESTCs). 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 (TIM). 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 (TCAS-1)，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 (TCAD). 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 (TCAS-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 (FITEE). 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 (TCDS). 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 (FITEE). 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 (TCAS-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 (TC), 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 (TC), 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 (TCAD), 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：
[57] Jiaze Wang, Jiayi Tian, Xun Zhou, Qu Mingchao, Tian Xia, Wenzhe Zhao and Pengju Ren, “Seeing without Cameras: Interpretable Wireless Fusion for 3D Human Pose Estimation”, ACM Multimedia 2026 (MM), 2026. (Accepted).
[56] Pengchen Zong, Gelin Fu, Qiang Luo, Yijiang Kong, Chenzhun Guo, Wenzhe Zhao, Pengju Ren and Tian Xia, “Loop-Decoupled Prefetcher for Linked Data Structure”, The 59th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2026. (Accepted).
[55] Jiayi Tian, Jiaze Wang, Tian Xia, Wenzhe Zhao and Pengju Ren,“Manifold-Aware Spectral Compaction: A Graph Signal Processing Perspective on Online Gaussian Reduction for 3DGS SLAM”，European Conference on Computer Vision (ECCV), 2026. (Accepted).
[54] Jin Cui, Jiaqi Guo, Jiepeng Zhou, Ruixuan Yang, Jiayi Lu, Jiajun Xu, Jiangcheng Song, Boran Zhao and Pengju Ren, “The Whole Is Greater Than the Sum of Its Parts: A Compatibility-Aware Multi-Teacher CoT Distillation Framework”, 35th International Joint Conference on Artificial Intelligence (IJCAI), 2026. (Accepted).
[53] Yujie Pu, Jianfeng An, Wenzhe Zhao, Pengju Ren and Chen Zhao, “RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM”, 32nd International European Conference on Parallel and Distributed Computing (Euro-Par), 2026. (Accepted).
[52] Jingjie Shang, Yuan Gao, Zhongjiang He, Ying Li, Boran Zhao, Zigang Huang, Pengju Ren, Yuan Wang, and Xiaochen Bo, “D-Cog: Distilling Human Cognitive Representations into Visual Prompts for Few-Shot SAR Recognition”, Annual Meeting of the Cognitive Science Society (CogSci), 2026. (Accepted)
[51] Jin Cui, Jiaqi Guo, Jiepeng Zhou, Ruixuan Yang, Jiayi Lu, Jiajun Xu, Jiangcheng Song, Boran Zhao and Pengju Ren, “MIND: From Passive Mimicry to Active Reasoning through Capability-Aware Multi-Perspective CoT Distillation”, The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (Accepted)
[50] Haiduo Huang, Fuwei Yang, Zhenhua Liu and Pengju Ren, “Jakiro: Boosting Speculative Decoding via Decoupled MoE”, The 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026. (Accepted)
[49] Jin Cui, Boran Zhao, Jiajun Xu, Jiaqi Guo, Shuo Guan and Pengju Ren*, “FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (Accepted)
[48] Haiduo Huang, Yadong Zhang and Pengju Ren*, “KernelDNA: Dynamic Kernel Sharing via Decoupled Naïve Adapters”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (Accepted).
[47] Haiduo Huang, Yadong Zhang, Jiangcheng Song, Wenzhe Zhao and Pengju Ren*, “PPDD: A Unified Push-pull Adversarial Objective in Feature and Logit Spaces for Dataset Distillation”, International Conference on Acoustics, Speech, and Signal Processing, 2026 (ICASSP) (Accepted).
[46] Haiduo Huang, Jiangcheng Song, Wenzhe Zhao and Pengju Ren*, “FastEagle: Cascaded Drafting for Accelerating Speculative Decoding”, International Conference on Acoustics, Speech, and Signal Processing, 2026 (ICASSP) (Accepted).
[45] Haiduo Huang, Zhenhua Liu, Tian Xia and Pengju Ren*,“Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT”, The 40th Annual AAAI Conference on Artificial Intelligence, 2026 (AAAI) (Accepted).
[44] Haiduo Huang, Tian Xia, Wenzhe Zhao and Pengju Ren*,“PartialNet: Compute Less, Perform Better”, The 40th Annual AAAI Conference on Artificial Intelligence, 2026 (AAAI) (Accepted).
[43] Haiduo Huang, Jiangcheng Song, Yadong Zhang and Pengju Ren*,“DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer”, 2025 Annual Conference on Neural Information Processing Systems (NeurIPS) (Accepted).
[42] Jiayi Tian, Haiduo Huang, Tian Xia, Wenzhe Zhao and Pengju Ren*, “GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion”, 2025 Annual Conference on Neural Information Processing Systems (NeurIPS) (Accepted).
[41] Qiwei Dang, Chengyu Ma, Zhiwang Huo, Guoming Yang, Tian Xia, Wenzhe Zhao and Pengju Ren*, “MoEA: A Mixed-Precision Edge Accelerator for CNN-MSA Models with Fine-Tuning Support”, 2026 Proceedings of 31th Asia and South Pacific Design Automation Conference, (ASP-DAC) (Accepted).
[40] Gelin Fu, Tian Xia, Mieszko Lis, Prashant Nair and Pengju Ren, “Magellan: A High-Performance Loop-Guided Prefetcher for Indirect Memory Access”, 2025 the 52rd International Symposium on Computer Architecture (ISCA) (Accepted).
[39] Siyang Wang, Sheng Yu, Tingbang Liang, Yilin Shi, Yongqiang Ma, and Pengju Ren*, “Rapid Dynamic Obstacle Avoidance for UAVs Enhanced by DVS and Neuromorphic Computing”, 2025 IEEE International Conference on Robotics and Automation (ICRA) (Accepted).
[38] Yang Ding, Yijun Mao, Cunshan Jiao and Pengju Ren*, “Towards Optimal Lane-changing Coordinating of CAVs in Multi-lane Mixed Traffic Scenarios”, 2024 IEEE International Conference on Robotics and Automation (ICRA), pp2183-2189.
[37] Gelin Fu, Tian Xia, Zhongpei Luo, Ruiyang Chen, Wenzhe Zhao and Pengju Ren*, “Differential-Matching Prefetcher for Indirect Memory Access”, The 30th IEEE International Symposium on High-Performance Computer Architecture (HPCA 2024), pp439-453.
[36] Gelin Fu, Tian Xia, Shaoru Qu, Zhongpei Luo, Shuyu Li, Pengyu Cheng, Runfan Guo, Yitong Ding and Pengju Ren*, “PrSpMV: An Efficient Predictable Kernel for SpMV” The 41st IEEE International Conference on Computer Design, (ICCD 2023) pp.448-456.
[35] Lili Shi, Haiduo Huang, Bowei Song, Meng Tan, Wenzhe Zhao, Tian Xia, Pengju Ren*, “TAQ: Top-K Attention-aware Quantization For Vision Transformers” 2023 IEEE International Conference on Image Processing (ICIP 2023), pp.1750-1754.
[34] Yijun Mao, Yan Ding, Chongshan Jiao and Pengju Ren*, “UCLF: An Uncertainty-Aware Cooperative Lane-Changing Framework for Connected Autonomous Vehicles in Mixed Traffic”， IEEE Intelligent Vehicles Symposium (IV) (IEEE IV 2023), 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. 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. 423-429. (Accepted, 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) 1-9. (Accepted, 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). 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). 1-6.
[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). 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. (Accepted，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, pp10519-10528.
[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. （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), 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, 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), April, 2011 pp175-185.
[2] Dong Wang*, Nanning Zheng, Pengju Ren “A New Ringing Detection Based Adaptive Video Scaler with Parallel Memory Architecture” (ICIEA2008) IEEE Conference on Industrial Electronics and Application.
[1] Hongbin Sun*, Nanning Zheng, Chenyang Ge, Dong Wang and Pengju Ren “An Efficient Motion Adaptive De-interlacing and Its VLSI Architecture Design” (ISVLSI’08) IEEE Annual Symp. on VLSI.
出版著作：
《片上互连网络：多核/众核处理器关键技术》（任鹏举、夏天译），ISBN：978-7-121-40344-6，出版社：电子工业出版社，出版日期：2021年1月
《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，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“国家专业技术人才知识更新工程”，出版社：中国人事出版社，出版日期：2023年9月
《人工智能工程技术人员（人工智能芯片产品实现）中级》 (主编：任鹏举），ISBN 978-7-5129-2119-1，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“国家专业技术人才知识更新工程”，出版社：中国人事出版社，出版日期：2025年11月
开源项目：
课题组GitHub(https://github.com/xjtuiair-cag)
Hornet：（TCAD 2012）支持千核规模的片上网络时钟级精度并行模拟器（与MIT联合开发）GitHub - compstruct/hornet: The HORNET on-chip network simulator
XJTU-Tripler：（DAC 2019）基于FPGA无人机目标检测CNN加速器设计（DAC 2019 System Design Contest 2nd Place) GitHub - xjtuiair-cag/XJTU-Tripler
PrSpMV：（ICCD 2023）An Efficient Rredictable Kernel for SpMV GitHub - moonstarslo/prSpMV-public
DMP：（HPCA 2024）差分多级多范围预取器 GitHub - xjtuiair-cag/dmp: Dmp: differential matching prefetcher
Vsacle_plus：A 3-stage in-order single-scalar RISC-V Processor GitHub - xjtuiair-cag/Vscale_plus: A 3-stage in-order single-scalar RISC-V processor
Matterhorn：基于PyTorch的通用SNN框架：GitHub - AmperiaWang/Matterhorn
C906：玄铁906的FPGA的部署实现：GitHub - xjtuiair-cag/c906_FPGA: An FPGA project of a simple SOC witn Xuantie c90
标准制定：
ITU-T F.748.11 “Metrics and evaluation methods for a deep neural network processor benchmark” 国际电信联盟（三大国际标准化组织之一）《深度学习处理器基准测试评测指标与方法》编制组专家
GB/T 信息技术信息产品研发能力评估模型编制组专家
GJB9530-2018/2022 《军用关键软硬件自主可控评估准则》编制组专家
CCSA中国通信标准化协会 《人工智能芯片基准测试评估方法》 编制组专家
信创团标《信息产品产业成熟度指标体系》编制组专家
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）
CESA-2022-043 中国电子工业标准化技术协会《面向自动驾驶应用的计算芯片第1部分：技术要求》（团标）
CESA-2022-044中国电子工业标准化技术协会《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》（团标）
CESA-2022-045中国电子工业标准化技术协会《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》（团标）
申请专利：
[26] 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MAC单元”，申请号：2026102664692，申请日：2026.03.05
[25] 夏天，曲邵儒，罗中沛，付格林，赵文哲，任鹏举，“一种应对间接访问数据预取器的调度方法”，申请号：PCT19/409,146，申请日：2025.12.04
[24] 赵博然，于致忻，刘贺添，蔡鹏程，夏天，赵文哲，任鹏举，“基于熵反馈和烟花算法优化的自适应数据集压缩方法”，申请号：2025111357364，申请日：2025.08.14
[23] 赵博然，蔡鹏程，刘贺添，于致忻，夏天，赵文哲，任鹏举，“一种基于熵反馈与烟花算法的自适应数据集压缩系统”，申请号：2025111357383，申请日：2025.08.14
[22] 夏天，罗强，宗鹏陈，付格林，赵文哲，任鹏举，“一种针对链表关系的数据预取器”，申请号：2025109230825，申请日：2025.07.04
[21] 赵文哲，李乾，夏天，胡康，党祺玮，任鹏举，“一种SHA-3加密算法的硬件加速装置”，申请号：2025107422731，申请日：2025.06.05
[20] 赵文哲，刘盛欢，夏天，陈飞，杨国茗，任鹏举，“面向神经网络并行调度的单指令多线程处理器微架构装置”，申请号：202510742277X，申请日：2025.06.05
[19] 赵文哲，程鹏宇，夏天，林晓云，霍志旺，任鹏举，“一种用于神经网络推理的单精度浮点乘累加计算装置”，申请号：2025107422784，申请日：2025.06.05
[18] 夏天，曲劭儒，罗中沛，付格林，赵文哲，任鹏举，“一种应对间接访问数据预取器的调度方法”，申请号：2025102313193，申请日：2025.02.27
[17] 赵博然，刘贺添，袁子航，夏天，赵文哲，朱利，任鹏举，“一种基于DE-SNE的近存采样系统”，申请号：2025102186018，申请日：2025.02.26
[16] 赵博然，袁子航，刘贺添，夏天，赵文哲，朱利，任鹏举，“一种基于DE-SNE的近存采样方法”，申请号：2025102185922，申请日：2025.02.26
[15] Tian Xis, Gelin Fu, Zhongpei Luo, Wenzhe Zhao, Pengju Ren, “Differential Matching Prefetcher for Coping with lrregular Memory”, 18/898 939, 2024.09.27
[14] 夏天，党祺玮，楼薇，陈和，杨国茗，李烁宇，赵文哲，任鹏举，“一种神经网络数据压缩装置和方法”，申请号：202411226583X，申请日：2024.09.03
[13] 赵文哲，张景铭，林晓云，胡康，冉旭明，龚元昌，夏天，任鹏举，“一种查表插值电路”，申请号：2024112265736，申请日：2024.09.03
[12] 赵文哲，霍志旺，夏天，张先娆，楼薇，杨国茗，任鹏举，“一种基于row-wise分块的宏指令集架构”，申请号：2024112265793，申请日：2024.09.03
[11] 任鹏举，翟海明，赵博然，霍志旺，夏天，赵定浮点混合文哲，“一种针对多核加速器的多卷积神经网络任务调度方法”，申请号：2024102894892，申请日：2024.03.13
[10]夏天，付格林，罗中沛，赵文哲，任鹏举，“一种应对非规则访存的数据预取器”，申请号：2024101220021，申请日：2024.01.29
[9] 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
[8] 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：CN202310215192.7，申请日期：2023.03.07.
[7] 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：CN202310214663.2，申请日期：2023.03.07.
[6] 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：2022113219558，申请日期：2022.11.01.
[5] 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：2022101138348，申请日期：2022.08.02.
[4] 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：2022101142502，申请日期：2022.08.02.
[3] 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：2022101155818，申请日期：2022.08.02.
[2] 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：202210115362X，申请日期：2022.08.02.
[1] Tian Xia, Pengju Ren, Haoran Zhao, Zehua Li, Wenzhe Zhao and Nanning Zheng，“Computing Architecture”, PCT/CN2020/087814.
授权专利
[50] 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”，专利号：ZL 2022 1 0923137.9，申请日：2022.08.02，授权公告日：2026.04.24
[49] 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”，专利号：ZL202211321954.3，申请日：2022.10.26，授权公告日：2026.03.31
[48] 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”，专利号：ZL202210924136.6，申请日：2022.08.02，授权公告日：2026.02.13
[47] 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”，专利号：ZL202210923139.8，申请日：2022.08.02，授权公告日：2026.01.30
[46] 赵文哲，张景铭，陈飞，张先娆，马澄宇，李晟宇，夏天，任鹏举，“一种定浮点混合处理电路”，专利号：ZL202411226582.5，申请日：2024.09.03，权公告日：2025.11.18
[45] 赵文哲，龚元昌，霍志旺，江华，黄晓帆，辛帅，夏天，任鹏举，“一种采用移位补偿的乘累加近似运算装置”，专利号：ZL202411226567.0，申请日：2024.09.03，授权公告日：2025.11.18
[44] 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”，专利号：ZL202210925113.7，申请日：2022.08.02，授权公告日：2025.10.31
[43] 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”，专利号：ZL202210924349.9，申请日：2022.08.02，授权公告日：2025.10.31
[42] 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”，专利号：ZL202210924541.8，申请日：2022.08.02，授权公告日：2025.09.30
[41] 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”，专利号：ZL202210924133.2，申请日：2022.08.02，授权公告日：2025.09.30
[40] 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”，专利号：ZL202210924544.1，申请日：2022.08.02，授权公告日：2025.09.05
[39] 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”，专利号：ZL202210924135.1，申请日：2022.08.02，授权公告日：2025.09.02
[38] 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”，专利号：ZL202210924134.7，申请日：2022.08.02，授权公告日：2025.09.02
[37] 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”专利号：ZL202211323177.6，申请日：2022.10.26，授权公告日：2025.07.25
[36] 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”，专利号：ZL202210024765.3，申请日2022.01.11：，授权公告日：2025.04.15
[35] 任鹏举，宋翔，丁焱，景鑫，于航，郑南宁，“一种多AGV协同工作系统”，专利号：ZL202211323178.0，申请日：2022.10.26，授权公告日：2024.10.29
[34] Tian Xia, Linfeng Chen, Wenzhe Zhao, Pengchen Zong, Pengju Ren and Nanning Zheng，“Multifunctional data reorganization network”, US12,126,460B2，申请日：2022.03.02，授权公告日：2024.10.22
[33] 任鹏举，马建，涂志俊，石莉莉，杨国茗，付格林，夏天，赵文哲，陈飞，辛景民，“基于奇偶性对数量化的无乘法深度神经网络模型压缩方法”，申请号：ZL202111448717.9，申请日：2021.11.30，授权公告日：2024.09.17
[32] 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”，专利号：ZL202110329765.X，申请日：2021.03.26，授权公告日：2024.04.05
[31] Tian Xia, Pengju Ren, Haoran Zhao, Zehua Li, Wenzhe Zhao, Nanning Zheng, Large-scale data processing computer architecture, US11,886,347B2，申请日：2022.07.13，授权公告日：2024,01.30
[30] 任鹏举，涂志俊，马建，夏天，赵文哲，陈飞，郑南宁，“一种强化学习自动感知权重分布的卷积神经网络量化方法”，专利号：ZL202110134308.5，申请日：2021.02.01，授权公告日：2024.01.09
[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：CN113795831 B，申请号：202011585089.4，申请日：2021.01.21，授权日：2023年9月12日
[28] 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：CN113029145B，申请日：2021.02.05，授权日期：2022.08.09
[27] 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：CN113014497B，申请日：2021.03.01，授权日期：2022.08.09
[26] 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，申请号：202010045875.9，申请日：2020.01.15，授权日：2022年4月5日
[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：ZL20201034215.9，授权公告号：CN111522776，申请日：2020.05.13，授权日期：2022.04.05
[24] 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，申请号：202010041500.5，申请日：2020.01.15，授权日：2022年4月1日
[23] 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，授权日期：2021.10.1
[22] 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CN202110218627.4：，授权公告号：申请日：2021.02.26，授权日期：2023.03.28
[21] 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：ZL.201910208851.8, 授权公告号：CN110059564B，申请日期：2019.03.19，授权日期：2021.01.19
[20] 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，申请号：201811133940.2，申请日：2018.09.02，授权日期：2021.1.21
[19] 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，申请号：2018115825306，申请日：2018.12.24，授权日期：2020.10.27.
[18] Pengju Ren，Long Fan，Boran Zhao， Pengchen Zong， Wenzhe Zhao， Badong Chen， Nanning Zheng, "Parallel Computing System", America, US9924153, App.No. 14897076. 申请日期：2018.11.14，授权日期：2020.04.16
[17] 任鹏举，朱梦娇，丁晓彤，樊珑，魏亚东，秦琴，刘龙军，郑南宁 “一种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，申请号：201710331448.5，申请日：2017.5.11，授权日期：2020.06.19
[16] 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，申请号：201710331078.5，申请日：2017.5.11.，授权日期：2020.06.19
[15] 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，申请号：20181117777L.2，申请日：2018.10.11，授权日期：2019.8.29.
[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，申请号：2017103320081 ，申请日：2017.5.11，授权日：2018.10.10.
[13] Pengju Ren, et.al “Parallel Scaling engine for multi-view 3DTV display and method thereof”, US 9924153 B2，申请日期：2015.09.12，授权日期
[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，CN103945.B, 申请号：2014101364749，授权日：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，CN103945208B, 申请号201410167890.5， 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”，CN102761475B，中国，申请号：201210083054X，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，CN102622770B, 申请号：2012100762190，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，CN102663737B，申请号：2012100725473, 授权日：2014.07.03
[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，CN101489032B, 申请号：2009100210691，授权日期：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，CN101651809B, 申请号：2009100239878，授权日期：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，CN101651810B,申请号：2009100239882，授权日期：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3D自适应梳状滤波的视频信号解码器”，中国，CN100584038, 申请号：2008100178598，授权日：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，CN100576881, 申请号：2007103077043，授权日：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，CN100576893,申请号：2007100185525，授权日期：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，CN100386797, 申请号：2005100962939，授权日：2008.05.07
