Ao Ren

1.8k citations

57 papers · 1.1k indexed · h-index 20

Impact in

Artificial Intelligence top 2%
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
- Neural Networks and Applications
Computer Networks and Communications top 5%
- Error Correcting Code Techniques
- IoT and Edge/Fog Computing

Papers in ⓘ

Computer Vision and Pattern Recognition 26
- Advanced Neural Network Applications 22
Artificial Intelligence 26
- Stochastic Gradient Optimization Techniques 8
- Privacy-Preserving Technologies in Data 5

Co-authors: Yanzhi Wang (30 shared papers)Bo Yuan (16 shared papers)Qinru Qiu (13 shared papers)Zhe Li (12 shared papers)Caiwen Ding (13 shared papers)Xuehai Qian (7 shared papers)Ji Li (8 shared papers)Ruizhe Cai (11 shared papers)
Journals: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (5 papers)Journal of Systems Architecture (3 papers)ACM SIGPLAN Notices (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)IEEE Journal of Solid-State Circuits (1 paper)
Partner nations: United States China Taiwan

In The Last Decade

Ao Ren

50 papers receiving 1.1k citations

Peers

Countries citing papers authored by Ao Ren

Since Specialization

Citations

This map shows the geographic impact of Ao Ren's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ao Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ao Ren more than expected).

Fields of papers citing papers by Ao Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ao Ren. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ao Ren. The network helps show where Ao Ren may publish in the future.

Co-authors

The 25 scholars most cited alongside Ao Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ao Ren Line = papers co-authored together Ao Ren links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	SC-DCNN Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan	2017	109
2	ADMM-NN Ao Ren, Tianyun Zhang, Shaokai Ye, Jiayu Li, Wenyao Xu, Xuehai Qian, Xue Lin, Yanzhi Wang	2019	105
3	Flexible Clustered Federated Learning for Client-Level Data Distribution Shift IEEE Transactions on Parallel and Distributed Systems ·Moming Duan, Duo Liu, Xinyuan Ji, Yu Wu, Liang Liang, Xianzhang Chen, Yujuan Tan, Ao Ren	2021	70
4	HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang	2018	67
5	Towards acceleration of deep convolutional neural networks using stochastic computing Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang	2017	64
6	DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan	2016	56
7	SC-DCNN ACM SIGPLAN Notices ·Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan	2017	51
8	Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper Hongjia Li, Tianshu Wei, Ao Ren, Qi Zhu, Yanzhi Wang	2017	43
9	Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang	2017	41
10	VIBNN ACM SIGPLAN Notices ·Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang	2018	36
11	FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework IEEE Transactions on Parallel and Distributed Systems ·Yu Zhang, Duo Liu, Moming Duan, Li Li, Xianzhang Chen, Ao Ren, Yujuan Tan, Chengliang Wang	2023	34
12	SC-DCNN ACM SIGOPS Operating Systems Review ·Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan	2017	33
13	FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems Li Li, Moming Duan, Duo Liu, Yu Zhang, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang	2021	33
14	7.5 A 65nm 0.39-to-140.3TOPS/W 1-to-12b Unified Neural Network Processor Using Block-Circulant-Enabled Transpose-Domain Acceleration with 8.1 × Higher TOPS/mm²and 6T HBST-TRAM-Based 2D Data-Reuse Architecture 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	2019	33
15	Structural design optimization for deep convolutional neural networks using stochastic computing Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang	2017	30
16	Designing reconfigurable large-scale deep learning systems using stochastic computing Ao Ren, Zhe Li, Yanzhi Wang, Qinru Qiu, Bo Yuan	2016	30
17	CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework Yu Zhang, Morning Duan, Duo Liu, Li Li, Ao Ren, Xianzhang Chen, Yujuan Tan, Chengliang Wang	2021	29
18	A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits Ruizhe Cai, Olivia Chen, Ao Ren, Ning Liu, Caiwen Ding, Nobuyuki Yoshikawa, Yanzhi Wang	2019	22
19	Memristor crossbar-based ultra-efficient next-generation baseband processors Geng Yuan, Caiwen Ding, Ruizhe Cai, Xiaolong Ma, Ziyi Zhao, Ao Ren, Bo Yuan, Yanzhi Wang	2017	22
20	Normalization and dropout for stochastic computing-based deep convolutional neural networks Integration ·Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang	2017	21

About Ao Ren

Ao Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (22 papers), Advanced Memory and Neural Computing (16 papers), Error Correcting Code Techniques (11 papers), Stochastic Gradient Optimization Techniques (8 papers), Caching and Content Delivery (8 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Advanced Data Storage Technologies (6 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Artificial Intelligence (670 citations), Computer Networks and Communications (407 citations), Computer Vision and Pattern Recognition (308 citations), Computational Mathematics (8 citations) and Electrical and Electronic Engineering (506 citations). Ao Ren has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yanzhi Wang, Bo Yuan, Qinru Qiu, Zhe Li, Caiwen Ding, Xuehai Qian, Ji Li, Ruizhe Cai, Yujuan Tan and Duo Liu. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Systems Architecture, ACM SIGPLAN Notices, IEEE Transactions on Parallel and Distributed Systems and IEEE Journal of Solid-State Circuits.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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