• Professor
• Supervisor of Doctorate Candidates
• Supervisor of Master's Candidates
• Name (Simplified Chinese):Ao Ren
• Name (English):Ao Ren
• Name (Pinyin):renao
• E-Mail:5fbdd7e5d8b8bdb9ddda04f020bf4d9c5f9e0a7589e3cfccb5d170bc260c63bed1c1d15d59b7faea181acd8aac0589b0a4573ee0cd342c6032cb279938ae3d1a90444753a11e96b907dfcd7017d5fa27db2a8feede85953589d93a5696a6120716cc5fab080f7053f6ecc1089589c209f621aa27267efbb84c498b7a614558d0
• School/Department:计算机学院
• Education Level:With Certificate of Graduation for Doctorate Study
• Gender:Male
• Degree:Doctoral degree
• Status:Employed
• Alma Mater:东北大学

• Telephone:a65c05af668008630a2b497be5523b9631731fb1df2015e121d61561173a9b86b870136377f989857301b29bcfd2d320002888c3b22cda9083798f7ad7813156d86ad8e4bca7a0dfac8a1ca5196e023490ce0d831b11468f4f09a5f950e6b1e2cfba8e462439cd09fedc7af9d0c9babeb0c766650a65f10f0bd55cc107e4a3ce
• Email:5fbdd7e5d8b8bdb9ddda04f020bf4d9c5f9e0a7589e3cfccb5d170bc260c63bed1c1d15d59b7faea181acd8aac0589b0a4573ee0cd342c6032cb279938ae3d1a90444753a11e96b907dfcd7017d5fa27db2a8feede85953589d93a5696a6120716cc5fab080f7053f6ecc1089589c209f621aa27267efbb84c498b7a614558d0

任骜，重庆大学“弘深青年学者”、教授、博士生导师、美国东北大学博士，主要研究大模型压缩及终端智能计算加速。获重庆大学优秀青年教师、重庆市科技进步一等奖、ACM中国高性能计算专业委员会新星奖等荣誉。先后在ASPLOS、ISCA、AAAI、DAC、ISSCC、ICASSP、ICCAD、TCAD、Neural Networks等领域标志性会议和期刊上发表论文60余篇，获得ICASSP2017的最佳论文奖和学术竞赛奖，ISQED最佳论文提名等荣誉。受邀担任Nature Electronics、TIP、TNNLS、TC、TCAD、JSA、TVLSI等国际期刊审稿人，担任DAC、ICCAD、ASAP、ASP-DAC等国际会议的技术委员会委员。招生信息：年度招收博士生1名、硕士生3名，欢迎计算机、软件、通信、自动化、数学等相关专业同学申请。代表性成果如下（按时间倒序排列，*代表通讯作者）：[1] Yuexin Mu, Ao Ren*, Duo Liu, Zihao Zhang, Haojie Lu, Longyi Zhou, Huachen Tan, Kan Zhong, Yujuan Tan and Chaoxia Qin, LIO-DPC: Accurate and Fast LiDAR-Inertial Odometry with Dynamic Pose Chain, The 60th ACM/IEEE Design Automation Conference (DAC), 2025. (CCF-A类会议)[2] Binyan Zhang, Ao Ren*, Zihao Zhang, Moming Duan, Duo Liu, Yujuan Tan, and Kan Zhong. "MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search." The 50th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. （CCF-B类会议）[3] Zhenyu Wang, Ao Ren*, Duo Liu, Haining Fang, Jiaxing Shi, Yujuan Tan, Xianzhang Chen, RACI: A Resource-Aware Cooperative Inference Framework on Heterogeneous Edge Devices, The 44th IEEE/ACM international conference on computer-aided design (ICCAD), 2025. （CCF-B类会议）[4] Miao Tang, Ning Liu, Tao Yang, Haining Fang, Qiu Lin, Yujuan Tan, Xianzhang Chen, Duo Liu, Kan Zhong, and Ao Ren*. FreePrune: An Automatic Pruning Framework Across Various Granularities Based on Training-Free Evaluation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.（CCF-A类期刊）[5] Haining Fang, Yujuan Tan, Ao Ren*, Wei Zhuang, Yang Hua, Zhiyong Qin, and Duo Liu. DSAV: A Deep Sparse Acceleration Framework for Voxel-Based 3D Object Detection. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024. （CCF-A类期刊）[6] Jiaxing Shi, Ao Ren*, Wei Zhuang, Yang Hua, ZhiYong Qin, Zhenyu Wang, Yang Song, Yujuan Tan, and Duo Liu. VIFA: An Efficient Visible and Infrared Image Fusion Architecture for Multi-task Applications via Continual Learning. In Proceedings of the Asian Conference on Computer Vision (ACCV). 2024. （CCF-C类会议）[7] Ao Ren, Yuhao Wang, Tao Zhang, Jiaxing Shi, Duo Liu*, Xianzhang Chen, Yujuan Tan, Yuan Xie, HBP: Hierarchically Balanced Pruning and Accelerator Co-Design for Efficient DNN Inference, The 60th ACM/IEEE Design Automation Conference (DAC), 2023. (CCF-A类会议)[8] Yi Chen, Ning Liu, Ao Ren*, Tao Yang, Duo Liu, IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation, The 60th ACM/IEEE Design Automation Conference (DAC), 2023. (CCF-A类会议)[9] Yuling Zhang, Ao Ren*, Xianzhang Chen, Qiu Lin, Yujuan Tan, Duo Liu, Re-compact: Structured Pruning and SpMM Kernel Co-design for Accelerating DNNs on GPUs, The 41st International Conference on Computer Design (ICCD), 2023. (CCF-B类会议)[10] Xiaofeng Ding, Chengliang Wang, Heping Liu, Zhihai Zhang, Xianzhang Chen, Yujuan Tan, Duo Liu, Ao Ren*, FRL: Fast and Reconfigurable Accelerator for Distributed Sound Source Localization, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022. (CCF-A类期刊)[11] Li Li, Duo Liu, Moming Duan, Yu Zhang, Ao Ren*, Xianzhang Chen, Yujuan Tan, Chengliang Wang, Federated Learning with Workload-Aware Client Scheduling in Heterogeneous Systems, Neural Networks, 2022. (中科院一区)[12] Xin Li, Ao Ren*, Yujuan Tan, Xusheng Li, Zhetong Huang, Chengliang Wang, Xianzhang Chen, Duo Liu, VEA: An FPGA-Based Voxel Encoding Accelerator for 3D Object Detection with LiDAR, The 40th International Conference on Computer Design (ICCD), 2022. (CCF-B类会议)[13] Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-kuang Chen, Yuan Xie, Yanzhi Wang*, DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks, The 37th AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF-A类会议)[14] J. Yue, R. Liu, W. Sun, Z. Yuan, Z. Wang, Y. Tu, Y. Chen, Ao Ren, Yanzhi Wang, M. Chang, X. Li, H. Yang, and Y. Liu, “STICKER-T: An Energy Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration,” in the IEEE Journal of Solid State Circuits（JSSC）, 2020. (JCR一区期刊)[15] Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang*, The 24th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2019. (CCF-A类会议)[16] Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang, A Stochastic-Computing Based Deep Learning Framework Using Adiabatic Quantum-Flux-Parametron Superconducting Technology, The 46th International Symposium on Computer Architecture (ISCA), 2019. (CCF-A类会议)[17] Yi Qiang, Ao Ren, X. Zhang, P. Patel, X. Han, K. Seo, Z. Shi, Yanzhi Wang, and H. Fang, “Design of Atomically-Thin-Body Field-Effect Sensors and Pattern Recognition Neural Networks for Ultra-Sensitive and Intelligent Trace Explosive Detection,” in 2D Materials, 2019. (JCR一区期刊，共同一作)[18] Ruizhe Cai, O. Chen, Ao Ren, Ning Liu, N. Yoshikawa, and Yanzhi Wang, “A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits,” in Proc. of the 37th IEEE International Conference on Computer Design (ICCD), 2019. (CCF B类会议)[19] J. Yue, R. Liu, W. Sun, Z. Yuan, Z. Wang, Y. Tu, Y. Chen, Ao Ren, Yanzhi Wang, M. Chang, X. Li, H. Yang, and Yongpan Liu, “7.5 A 65nm 0.39-to-140.3 TOPS/W 1-to-12b Unified Neural Network Processor Using Block-Circulant-Enabled Transpose-Domain Acceleration with 8.1× Higher TOPS/mm2 and 6T HBST-TRAM-Based 2D Data-Reuse Architecture,” in Proc. of IEEE International Solid-State Circuits Conference (ISSCC), 2019. (CCF A类会议)[20] Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang, VIBNN: Hardware Acceleration of Bayesian Neural Networks, The 25th International Conference on Architectural Support for Programming Languages and Operating Systems(ASPLOS), 2018. (CCF-A类会议, 共同一作)[21] Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, X. Qian, J. Draper, Bo Yuan, J. Tang, Qinru Qiu, and Yanzhi Wang, “HEIF: Highly Efficient Stochastic Computing based Inference Framework for Deep Neural Networks,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018. (CCF A类期刊)[22] X. Ma, Y. Zhang, G. Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, and Yanzhi Wang, “An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing,” in Proc. of 19th International Symposium on Quality Electronic Design (ISQED), 2018. Best paper nomination[23] Ruizhe Cai, Ao Ren, S. Soundarajan, and Yanzhi Wang, “A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal–dual interior point method using memristor crossbars,” in Nano Communication Networks (Nano Commun. Netw.), 2018. (JCR二区期刊)[24] Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan, SC-DCNN: Highly-Scalable Deep Convolutional Neural Network Using Stochastic Computing, The 24th International Conference on Architectural Support for Programming Languages and Operating Systems(ASPLOS), 2017. (CCF-A类会议)[25] Sijia Liu, Ao Ren, Yanzhi Wang, P. K. Varshney, “Ultra-fast robust compressive sensing based on memristor crossbars,” in Proc. of 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. Best Paper Award, Best Student Presentation Award (Top 3 in more than 2,000 submissions) (CCF B类会议)[26] Ji Li, Z. Yuan, Zhe Li, Ao Ren, Caiwen Ding, J. Draper, S. Nazarian, Qinru Qiu, Bo Yuan, and Yanzhi Wang, “Normalization and dropout for stochastic computing-based deep convolutional neural networks,” in Integration, the VLSI Journal (Integration), 2017. (JCR一区期刊)[27] Hongjia Li, T. Wei, Ao Ren, Qi Zhu, and Yanzhi Wang, “Deep reinforcement learning: Frame-work, applications, and embedded implementations,” in Proc. of the 36th International Conference on Computer-Aided Design (ICCAD), 2017. (CCF B类会议)[28] Ruizhe Cai, Ao Ren, L. Wang, M. Pedram, and Yanzhi Wang, “Hardware acceleration of Bayesian neural networks using RAM based linear feedback gaussian random number generators,” in Proc. of the 35th IEEE International Conference on Computer Design (ICCD), 2017. (CCF B类会议)[29] Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, J. Draper, and Yanzhi Wang, “Structural design optimization for deep convolutional neural networks using stochastic computing,” in Proc. of the Conference on Design, Automation and Test in Europe (DATE), 2017. (CCF B类会议)[30] Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, and Bo Yuan, “DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks,” in Proc. of the 34th IEEE International Conference on Computer Design (ICCD), 2016. (CCF B类会议，共同一作)