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[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)
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