Ao Ren

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 73

Top Topics

Incremental Update

Heterogeneous Systems

Alternating Direction

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Yujuan Tan, Zhuoxin Bai, Duo Liu, Zhaoyang Zeng, Yan Gan, Ao Ren, Xianzhang Chen, Kan Zhong
BGS: Accelerate GNN training on multiple GPUs. J. Syst. Archit. 153 (2024)
Ruiqing Lei, Xianzhang Chen, Duo Liu, Chunlin Song, Yujuan Tan, Ao Ren
CEIU: Consistent and Efficient Incremental Update mechanism for mobile systems on flash storage. J. Syst. Archit. 152 (2024)
Chengliang Wang, Zhetong Huang, Ao Ren, Xun Zhang
An FPGA-based kNN Seach Accelerator for point cloud registration. ISCAS (2024)
Kan Zhong, Zhiwang Yu, Qiao Li, Xianqiang Luo, Linbo Long, Yujuan Tan, Ao Ren, Duo Liu
DPC: DPU-accelerated High-Performance File System Client. ICPP (2024)
Chunlin Song, Xianzhang Chen, Duo Liu, Jiali Li, Yujuan Tan, Ao Ren
Optimizing the Performance of Consistency-Aware Deduplication Using Persistent Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (6) (2024)
Jing Yu, Yujuan Tan, Ao Ren, Duo Liu
Trustworthy Self-Attention: Enabling the Network to Focus Only on the Most Relevant References. CoRR (2024)
Jing Yu, Yujuan Tan, Ao Ren, Duo Liu
YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation. CoRR (2024)
Xun Zhang, Chengliang Wang, Xingquan Piao, Ao Ren, Zhetong Huang
SCRA: Systolic-Friendly DNN Compression and Reconfigurable Accelerator Co-Design. ISPA/BDCloud/SocialCom/SustainCom (2023)
Lin Li, Xianzhang Chen, Jiali Li, Jiapin Wang, Duo Liu, Yujuan Tan, Ao Ren
Optimizing the Performance of NDP Operations by Retrieving File Semantics in Storage. DAC (2023)
Yi Chen, Ning Liu, Ao Ren, Tao Yang, Duo Liu
IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation. DAC (2023)
Ruiqing Lei, Xianzhang Chen, Duo Liu, Chunlin Song, Yujuan Tan, Ao Ren
Optimizing the Incremental Update Mechanism by Inlaying File Indexes on Flash Storage. NVMSA (2023)
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. ICCD (2023)
Guo Li, Xianzhang Chen, Duo Liu, Jiali Li, Yujuan Tan, Ao Ren
An Efficient Scheduling Algorithm for Multi-mode Tasks on Near-Data Processing SSDs. ICA3PP (7) (2023)
Xuehong Fan, Nanzhong Wu, Shukan Liu, Xianzhang Chen, Duo Liu, Yujuan Tan, Ao Ren
Data-Quality-Driven Federated Learning for Optimizing Communication Costs. ICPADS (2023)
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. DAC (2023)
Jiali Li, Xianzhang Chen, Duo Liu, Ao Ren, Zhaoyang Zeng, Yujuan Tan
RadarSSD: A Computational Storage for Radar Signal Processing. ICPP (2023)
Yu Zhang, Duo Liu, Moming Duan, Li Li, Xianzhang Chen, Ao Ren, Yujuan Tan, Chengliang Wang
FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. IEEE Trans. Parallel Distributed Syst. 34 (3) (2023)
Tianyu Xu, Xianzhang Chen, Changze Wu, Jiapin Wang, Rongwei Zheng, Duo Liu, Yujuan Tan, Ao Ren, Jian Li
3DS: An Efficient DPDK-based Data Distribution Service for Distributed Real-time Applications. HPCC/DSS/SmartCity/DependSys (2022)
Moming Duan, Duo Liu, Xinyuan Ji, Yu Wu, Liang Liang, Xianzhang Chen, Yujuan Tan, Ao Ren
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
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. ICCD (2022)
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 154 (2022)
Mengda Yang, Ziang Li, Juan Wang, Hongxin Hu, Ao Ren, Xiaoyang Xu, Wenzhe Yi
Measuring Data Reconstruction Defenses in Collaborative Inference Systems. NeurIPS (2022)
Rongwei Zheng, Xianzhang Chen, Duo Liu, Junjie Feng, Jiapin Wang, Ao Ren, Chengliang Wang, Yujuan Tan
SENTunnel: Fast Path for Sensor Data Access on Automotive Embedded Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
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 Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Chunlin Song, Xianzhang Chen, Duo Liu, Xiaoliu Feng, Xi Yu, Jiali Li, Yujuan Tan, Ao Ren
CADedup: High-performance Consistency-aware Deduplication Based on Persistent Memory. ICCD (2022)
Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. ISQED (2021)
Yu Zhang, Moming Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. CoRR (2021)
Jinshan Yue, Yongpan Liu, Ruoyang Liu, Wenyu Sun, Zhe Yuan, Yung-Ning Tu, Yi-Ju Chen, Ao Ren, Yanzhi Wang, Meng-Fan Chang, Xueqing Li, Huazhong Yang
STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration. IEEE J. Solid State Circuits 56 (6) (2021)
Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. CoRR (2021)
Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. CoRR (2021)
Yu Zhang, Moming Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. IJCNN (2021)
Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. IJCNN (2021)
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. AAAI (2020)
Burak Kakillioglu, Ao Ren, Yanzhi Wang, Senem Velipasalar
3D Capsule Networks for Object Classification With Weight Pruning. IEEE Access 8 (2020)
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 SuperconductingTechnology. CoRR (2019)
Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (8) (2019)
Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Caiwen Ding, Nobuyuki Yoshikawa, Yanzhi Wang
A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ACM Great Lakes Symposium on VLSI (2019)
Ruizhe Cai, Xiaolong Ma, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang
IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ISVLSI (2019)
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. ASPLOS (2019)
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. ISCA (2019)
Jinshan Yue, Ruoyang Liu, Wenyu Sun, Zhe Yuan, Zhibo Wang, Yung-Ning Tu, Yi-Ju Chen, Ao Ren, Yanzhi Wang, Meng-Fan Chang, Xueqing Li, Huazhong Yang, Yongpan Liu
and 6T HBST-TRAM-Based 2D Data-Reuse Architecture. ISSCC (2019)
Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang
Normalization and dropout for stochastic computing-based deep convolutional neural networks. Integr. 65 (2019)
Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang
A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ICCD (2019)
Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang
DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks. CoRR (2019)
Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
VIBNN: Hardware Acceleration of Bayesian Neural Networks. CoRR (2018)
Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
VIBNN: Hardware Acceleration of Bayesian Neural Networks. ASPLOS (2018)
Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. ISVLSI (2018)
Caiwen Ding, Ao Ren, Geng Yuan, Xiaolong Ma, Jiayu Li, Ning Liu, Bo Yuan, Yanzhi Wang
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. CoRR (2018)
Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang
An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing. CoRR (2018)
Ruizhe Cai, Ao Ren, Sucheta Soundarajan, Yanzhi Wang
A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal-dual interior point method using memristor crossbars. Nano Commun. Networks 18 (2018)
Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang
An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing. ISQED (2018)
Caiwen Ding, Ao Ren, Geng Yuan, Xiaolong Ma, Jiayu Li, Ning Liu, Bo Yuan, Yanzhi Wang
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. ACM Great Lakes Symposium on VLSI (2018)
Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. CoRR (2018)
Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing. CoRR (2018)
Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang
Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems. CoRR (2018)
Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. IJCNN (2017)
Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang
Towards acceleration of deep convolutional neural networks using stochastic computing. ASP-DAC (2017)
Ruizhe Cai, Ao Ren, Luhao Wang, Massoud Pedram, Yanzhi Wang
Hardware Acceleration of Bayesian Neural Networks Using RAM Based Linear Feedback Gaussian Random Number Generators. ICCD (2017)
Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang
Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI (2017)
Ao Ren, Sijia Liu, Ruizhe Cai, Wujie Wen, Pramod K. Varshney, Yanzhi Wang
Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems. ASP-DAC (2017)
Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang
Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks. CoRR (2017)
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. ASPLOS (2017)
Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang
Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper. ICCAD (2017)
Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang
Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations. CoRR (2017)
Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang
Structural design optimization for deep convolutional neural networks using stochastic computing. DATE (2017)
Sijia Liu, Ao Ren, Yanzhi Wang, Pramod K. Varshney
Ultra-fast robust compressive sensing based on memristor crossbars. ICASSP (2017)
Geng Yuan, Caiwen Ding, Ruizhe Cai, Xiaolong Ma, Ziyi Zhao, Ao Ren, Bo Yuan, Yanzhi Wang
Memristor crossbar-based ultra-efficient next-generation baseband processors. MWSCAS (2017)
Ao Ren, Zhe Li, Yanzhi Wang, Qinru Qiu, Bo Yuan
Designing reconfigurable large-scale deep learning systems using stochastic computing. ICRC (2016)
Ruizhe Cai, Ao Ren, Yanzhi Wang, Bo Yuan
Memristor-Based Discrete Fourier Transform for Improving Performance and Energy Efficiency. ISVLSI (2016)
Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. SoCC (2016)
Ao Ren, Bo Yuan, Yanzhi Wang
Design of high-speed low-power polar BP decoder using emerging technologies. SoCC (2016)
Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan
DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. ICCD (2016)
Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. CoRR (2016)