DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (ICCD, 2016)

Designing reconfigurable large-scale deep learning systems using stochastic computing. - Ao Ren; Zhe Li 001; Yanzhi Wang; Qinru Qiu; Bo Yuan 001 (ICRC, 2016)

Memristor-Based Discrete Fourier Transform for Improving Performance and Energy Efficiency. - Ruizhe Cai; Ao Ren; Yanzhi Wang; Bo Yuan 001 (ISVLSI, 2016)

A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. - Ruizhe Cai; Ao Ren; Yanzhi Wang; Sucheta Soundarajan; Qinru Qiu; Bo Yuan 001; Paul Bogdan (SoCC, 2016)

Design of high-speed low-power polar BP decoder using emerging technologies. - Ao Ren; Bo Yuan 001; Yanzhi Wang (SoCC, 2016)

Towards acceleration of deep convolutional neural networks using stochastic computing. - Ji Li 006; Ao Ren; Zhe Li 001; Caiwen Ding; Bo Yuan 001; Qinru Qiu; Yanzhi Wang (ASP-DAC, 2017)

Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems. - Ao Ren; Sijia Liu 001; Ruizhe Cai; Wujie Wen; Pramod K. Varshney; Yanzhi Wang (ASP-DAC, 2017)

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. - Ao Ren; Zhe Li 001; Caiwen Ding; Qinru Qiu; Yanzhi Wang; Ji Li 006; Xuehai Qian; Bo Yuan 001 (ASPLOS, 2017)

Structural design optimization for deep convolutional neural networks using stochastic computing. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Bo Yuan 001; Jeffrey Draper; Yanzhi Wang (DATE, 2017)

Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. - Zihao Yuan; Ji Li 006; Zhe Li 001; Caiwen Ding; Ao Ren; Bo Yuan 001; Qinru Qiu; Jeffrey Draper; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2017)

Ultra-fast robust compressive sensing based on memristor crossbars. - Sijia Liu 001; Ao Ren; Yanzhi Wang; Pramod K. Varshney (ICASSP, 2017)

Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper. - Hongjia Li; Tianshu Wei; Ao Ren; Qi Zhu 002; Yanzhi Wang (ICCAD, 2017)

Hardware Acceleration of Bayesian Neural Networks Using RAM Based Linear Feedback Gaussian Random Number Generators. - Ruizhe Cai; Ao Ren; Luhao Wang; Massoud Pedram; Yanzhi Wang (ICCD, 2017)

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Caiwen Ding; Ao Ren; Qinru Qiu; Jeffrey Draper; Yanzhi Wang (IJCNN, 2017)

Memristor crossbar-based ultra-efficient next-generation baseband processors. - Geng Yuan; Caiwen Ding; Ruizhe Cai; Xiaolong Ma; Ziyi Zhao; Ao Ren; Bo Yuan 001; Yanzhi Wang (MWSCAS, 2017)

Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations. - Hongjia Li; Tianshu Wei; Ao Ren; Qi Zhu 002; Yanzhi Wang (CoRR, 2017)

VIBNN: Hardware Acceleration of Bayesian Neural Networks. - Ruizhe Cai; Ao Ren; Ning Liu 007; Caiwen Ding; Luhao Wang; Xuehai Qian; Massoud Pedram; Yanzhi Wang (ASPLOS, 2018)

Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. - Caiwen Ding; Ao Ren; Geng Yuan; Xiaolong Ma; Jiayu Li; Ning Liu 007; Bo Yuan 001; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2018)

An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing. - Xiaolong Ma; Yipeng Zhang; Geng Yuan; Ao Ren; Zhe Li 001; Jie Han 001; Jingtong Hu; Yanzhi Wang (ISQED, 2018)

Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. - Zhe Li 001; Ji Li 006; Ao Ren; Caiwen Ding; Jeffrey Draper; Qinru Qiu; Bo Yuan 001; Yanzhi Wang (ISVLSI, 2018)

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers. - Ao Ren; Tianyun Zhang; Shaokai Ye; Jiayu Li; Wenyao Xu; Xuehai Qian; Xue Lin 001; Yanzhi Wang (CoRR, 2018)

A low-computation-complexity, energy-efficient, and high-performance linear program solver based on primal-dual interior point method using memristor crossbars. - Ruizhe Cai; Ao Ren; Sucheta Soundarajan; Yanzhi Wang (Nano Commun. Networks, 2018)

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers. - Ao Ren; Tianyun Zhang; Shaokai Ye; Jiayu Li; Wenyao Xu; Xuehai Qian; Xue Lin 001; Yanzhi Wang (ASPLOS, 2019)

A Majority Logic Synthesis Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Olivia Chen; Ao Ren; Ning Liu 007; Caiwen Ding; Nobuyuki Yoshikawa; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2019)

A Buffer and Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Olivia Chen; Ao Ren; Ning Liu 007; Nobuyuki Yoshikawa; Yanzhi Wang (ICCD, 2019)

A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology. - Ruizhe Cai; Ao Ren; Olivia Chen; Ning Liu 007; Caiwen Ding; Xuehai Qian; Jie Han 001; Wenhui Luo; Nobuyuki Yoshikawa; Yanzhi Wang (ISCA, 2019)

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 004; Yung-Ning Tu; Yi-Ju Chen; Ao Ren; Yanzhi Wang; Meng-Fan Chang; Xueqing Li 002; Huazhong Yang; et al. (ISSCC, 2019)

IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. - Ruizhe Cai; Xiaolong Ma; Olivia Chen; Ao Ren; Ning Liu 007; Nobuyuki Yoshikawa; Yanzhi Wang (ISVLSI, 2019)

A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology. - Ruizhe Cai; Ao Ren; Olivia Chen; Ning Liu 007; Caiwen Ding; Xuehai Qian; Jie Han 001; Wenhui Luo; Nobuyuki Yoshikawa; Yanzhi Wang (CoRR, 2019)

DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks. - Ao Ren; Tao Zhang 032; Yuhao Wang 002; Sheng Lin 001; Peiyan Dong; Yen-Kuang Chen; Yuan Xie 001; Yanzhi Wang (CoRR, 2019)

Normalization and dropout for stochastic computing-based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Ao Ren; Caiwen Ding; Jeffrey Draper; Shahin Nazarian; Qinru Qiu; Bo Yuan 001; Yanzhi Wang (Integr., 2019)

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. - Zhe Li 001; Ji Li 006; Ao Ren; Ruizhe Cai; Caiwen Ding; Xuehai Qian; Jeffrey Draper; Bo Yuan 001; Jian Tang 008; Qinru Qiu; Yanzhi Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. - Ao Ren; Tao Zhang 032; Yuhao Wang 002; Sheng Lin 001; Peiyan Dong; Yen-Kuang Chen; Yuan Xie 001; Yanzhi Wang (AAAI, 2020)

3D Capsule Networks for Object Classification With Weight Pruning. - Burak Kakillioglu; Ao Ren; Yanzhi Wang; Senem Velipasalar (IEEE Access, 2020)

FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems. - Li Li; Moming Duan; Duo Liu; Yu Zhang 184; Ao Ren; Xianzhang Chen; Yujuan Tan; Chengliang Wang (IJCNN, 2021)

CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. - Yu Zhang 184; Moming Duan; Duo Liu; Li Li; Ao Ren; Xianzhang Chen; Yujuan Tan; Chengliang Wang (IJCNN, 2021)

Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. - Geng Yuan; Zhiheng Liao; Xiaolong Ma; Yuxuan Cai 001; Zhenglun Kong; Xuan Shen; Jingyan Fu; Zhengang Li; Chengming Zhang 006; Hongwu Peng; Ning Liu 007; Ao Ren; et al. (ISQED, 2021)

STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration. - 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 002; Huazhong Yang (IEEE J. Solid State Circuits, 2021)

3DS: An Efficient DPDK-based Data Distribution Service for Distributed Real-time Applications. - Tianyu Xu; Xianzhang Chen; Changze Wu; Jiapin Wang; Rongwei Zheng; Duo Liu; Yujuan Tan; Ao Ren; Jian Li (HPCC/DSS/SmartCity/DependSys, 2022)

VEA: An FPGA-Based Voxel Encoding Accelerator for 3D Object Detection with LiDAR. - Xin Li; Ao Ren; Yujuan Tan; Xusheng Li; Zhetong Huang; Chengliang Wang; Xianzhang Chen; Duo Liu (ICCD, 2022)

CADedup: High-performance Consistency-aware Deduplication Based on Persistent Memory. - Chunlin Song; Xianzhang Chen; Duo Liu; Xiaoliu Feng; Xi Yu; Jiali Li; Yujuan Tan; Ao Ren (ICCD, 2022)

Measuring Data Reconstruction Defenses in Collaborative Inference Systems. - Mengda Yang; Ziang Li; Juan Wang 006; Hongxin Hu; Ao Ren; Xiaoyang Xu 001; Wenzhe Yi (NeurIPS, 2022)

Federated learning with workload-aware client scheduling in heterogeneous systems. - Li Li; Duo Liu; Moming Duan; Yu Zhang 184; Ao Ren; Xianzhang Chen; Yujuan Tan; Chengliang Wang (Neural Networks, 2022)

FRL: Fast and Reconfigurable Accelerator for Distributed Sound Source Localization. - Xiaofeng Ding; Chengliang Wang; Heping Liu; Zhihai Zhang; Xianzhang Chen; Yujuan Tan; Duo Liu; Ao Ren (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

SENTunnel: Fast Path for Sensor Data Access on Automotive Embedded Systems. - Rongwei Zheng; Xianzhang Chen; Duo Liu; Junjie Feng; Jiapin Wang; Ao Ren; Chengliang Wang; Yujuan Tan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift. - Moming Duan; Duo Liu; Xinyuan Ji; Yu Wu 016; Liang Liang 002; Xianzhang Chen; Yujuan Tan; Ao Ren (IEEE Trans. Parallel Distributed Syst., 2022)

SCRA: Systolic-Friendly DNN Compression and Reconfigurable Accelerator Co-Design. - Xun Zhang; Chengliang Wang; Xingquan Piao; Ao Ren; Zhetong Huang (ISPA/BDCloud/SocialCom/SustainCom, 2023)

IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation. - Yi Chen; Ning Liu; Ao Ren; Tao Yang; Duo Liu (DAC, 2023)

Optimizing the Performance of NDP Operations by Retrieving File Semantics in Storage. - Lin Li; Xianzhang Chen; Jiali Li; Jiapin Wang; Duo Liu; Yujuan Tan; Ao Ren (DAC, 2023)

HBP: Hierarchically Balanced Pruning and Accelerator Co-Design for Efficient DNN Inference. - Ao Ren; Yuhao Wang 002; Tao Zhang 032; Jiaxing Shi; Duo Liu; Xianzhang Chen; Yujuan Tan; Yuan Xie 001 (DAC, 2023)

An Efficient Scheduling Algorithm for Multi-mode Tasks on Near-Data Processing SSDs. - Guo Li; Xianzhang Chen; Duo Liu; Jiali Li; Yujuan Tan; Ao Ren (ICA3PP (7), 2023)

Re-compact: Structured Pruning and SpMM Kernel Co-design for Accelerating DNNs on GPUs. - Yuling Zhang; Ao Ren; Xianzhang Chen; Qiu Lin; Yujuan Tan; Duo Liu (ICCD, 2023)

Data-Quality-Driven Federated Learning for Optimizing Communication Costs. - Xuehong Fan; Nanzhong Wu; Shukan Liu; Xianzhang Chen; Duo Liu; Yujuan Tan; Ao Ren (ICPADS, 2023)

RadarSSD: A Computational Storage for Radar Signal Processing. - Jiali Li; Xianzhang Chen; Duo Liu; Ao Ren; Zhaoyang Zeng; Yujuan Tan (ICPP, 2023)

Optimizing the Incremental Update Mechanism by Inlaying File Indexes on Flash Storage. - Ruiqing Lei; Xianzhang Chen; Duo Liu; Chunlin Song; Yujuan Tan; Ao Ren (NVMSA, 2023)

FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. - Yu Zhang 184; Duo Liu; Moming Duan; Li Li; Xianzhang Chen; Ao Ren; Yujuan Tan; Chengliang Wang (IEEE Trans. Parallel Distributed Syst., 2023)

VIFA: An Efficient Visible and Infrared Image Fusion Architecture for Multi-task Applications via Continual Learning. - Jiaxing Shi; Ao Ren; Wei Zhuang; Yang Hua; ZhiYong Qin; Zhenyu Wang; Yang Song; Yujuan Tan; Duo Liu (ACCV (8), 2024)

Rethinking Literary Plagiarism in LLMs through the Lens of Copyright Laws. - Huachen Tan; Moming Duan; Duo Liu; Haojie Lu; Yuexin Mu; Longyi Zhou; Ao Ren; Yujuan Tan; Kan Zhong (ACML, 2024)

FinerDedup: Sifting Fingerprints for Efficient Data Deduplication on Mobile Devices. - Xianzhang Chen; Xingjie Zhou; Wei Li; Xi Yu; Duo Liu; Yujuan Tan; Ao Ren (DAC, 2024)

RACI: A Resource-Aware Cooperative Inference Framework on Heterogeneous Edge Devices. - Zhenyu Wang; Ao Ren; Duo Liu; Haining Fang; Jiaxing Shi; Yujuan Tan; Xianzhang Chen (ICCAD, 2024)

DPC: DPU-accelerated High-Performance File System Client. - Kan Zhong; Zhiwang Yu; Qiao Li 001; Xianqiang Luo; Linbo Long; Yujuan Tan; Ao Ren; Duo Liu (ICPP, 2024)

An FPGA-based kNN Seach Accelerator for point cloud registration. - Chengliang Wang; Zhetong Huang; Ao Ren; Xun Zhang (ISCAS, 2024)

YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation. - Jing Yu; Yujuan Tan; Ao Ren; Duo Liu (CoRR, 2024)

Trustworthy Self-Attention: Enabling the Network to Focus Only on the Most Relevant References. - Jing Yu; Yujuan Tan; Ao Ren; Duo Liu (CoRR, 2024)

CEIU: Consistent and Efficient Incremental Update mechanism for mobile systems on flash storage. - Ruiqing Lei; Xianzhang Chen; Duo Liu; Chunlin Song; Yujuan Tan; Ao Ren (J. Syst. Archit., 2024)

BGS: Accelerate GNN training on multiple GPUs. - Yujuan Tan; Zhuoxin Bai; Duo Liu; Zhaoyang Zeng; Yan Gan; Ao Ren; Xianzhang Chen; Kan Zhong (J. Syst. Archit., 2024)

Optimizing the Performance of Consistency-Aware Deduplication Using Persistent Memory. - Chunlin Song; Xianzhang Chen; Duo Liu; Jiali Li; Yujuan Tan; Ao Ren (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

FreePrune: An Automatic Pruning Framework Across Various Granularities Based on Training-Free Evaluation. - Miao Tang; Ning Liu 007; Tao Yang; Haining Fang; Qiu Lin; Yujuan Tan; Xianzhang Chen; Duo Liu; Kan Zhong; Ao Ren (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

CoSF: A Co-Optimization Framework for Operator Splitting and Fusion. - Wei Li; Ao Ren; Qingqiu Lan; Haining Fang; Zhenyu Wang; Yujuan Tan; Kan Zhong; Duo Liu (Euro-Par (1), 2025)

Cocache: An Accurate and Low-Overhead Dynamic Caching Method for GNNs. - Zhaoyang Zeng; Yujuan Tan; Jiali Li; Zhuoxin Bai; Jun Liu; Kan Zhong; Duo Liu; Ao Ren (Euro-Par (2), 2025)

MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search. - Binyan Zhang; Ao Ren; Zihao Zhang; Moming Duan; Duo Liu; Yujuan Tan; Kan Zhong (ICASSP, 2025)

Co-GNN: A Co-optimization Framework for Memory and Computation in Sampling-Based GNN Training. - Yan Gan; Yujuan Tan; Jiayi Guo; Yujiao Wang; Zongjie Wang; Duo Liu; Ao Ren; Kan Zhong; Chaoxia Qin; Mingrui Qiang (ICIC (21), 2025)

RobTrack: A Robust 3D Multi-object Tracking Method for Edge Devices. - Mingrui Qiang; Ao Ren; Yujuan Tan; Jing Yu; Zhuoxin Bai; Duo Liu; Kan Zhong; Chaoxia Qin (ICIC (5), 2025)

PIM-IoT: Enabling hierarchical, heterogeneous, and agile Processing-in-Memory in IoT systems. - Kan Zhong; Qiao Li 001; Ao Ren; Yujuan Tan; Xianzhang Chen; Linbo Long; Duo Liu (Future Gener. Comput. Syst., 2025)

GNNBoost: Accelerating sampling-based GNN training on large scale graph by optimizing data preparation. - Yujuan Tan; Yan Gan; Zhaoyang Zeng; Zhuoxin Bai; Lei Qiao 002; Duo Liu; Kan Zhong; Ao Ren (J. Syst. Archit., 2025)

DSAV: A Deep Sparse Acceleration Framework for Voxel-Based 3-D Object Detection. - Haining Fang; Yujuan Tan; Ao Ren; Wei Zhuang; Yang Hua; ZhiYong Qin; Duo Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

CMCache: An Adaptive Cross-Level Data Placement Method for Multilevel Cache. - Zhaoyang Zeng; Yujuan Tan; Zhulin Ma; Jiali Li; Sanle Zhao; Duo Liu; Xianzhang Chen; Ao Ren (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)