期刊论文：
[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. (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. (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. (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. (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. (Early Access)2025
[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 Intelligent 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, 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, 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. 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. 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. 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. 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. 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): 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. 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：
[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.