Zhuoran Song

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Object Recognition

Top Venues

Publications

Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang
SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding. HPCA (2024)
Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
CMC: Video Transformer Acceleration via CODEC Assisted Matrix Condensing. ASPLOS (2) (2024)
Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang
FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. DATE (2024)
Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang
Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer. DATE (2024)
Zhuoran Song, Heng Lu, Li Jiang, Naifeng Jing, Xiaoyao Liang
Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity. DAC (2023)
Xuhang Wang, Zhuoran Song, Xiaoyao Liang
RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators. ICCD (2023)
Zhuoran Song, Wanzhen Liu, Tao Yang, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information. IEEE Trans. Parallel Distributed Syst. 34 (12) (2023)
Xuhang Wang, Zhuoran Song, Qiyue Huang, Xiaoyao Liang
DEQ: Dynamic Element-wise Quantization for Efficient Attention Architecture. ICCD (2023)
Zhuoran Song, Jianfeng Li, Tao Jiang, Sichen Lu
Impact of Photovoltaic Systems on Distribution Networks with Advances of Cloud, Grid and Cluster Computing. Scalable Comput. Pract. Exp. 24 (4) (2023)
Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. ICCD (2023)
Tao Yang, Dongyue Li, Fei Ma, Zhuoran Song, Yilong Zhao, Jiaxi Zhang, Fangxin Liu, Li Jiang
PASGCN: An ReRAM-Based PIM Design for GCN With Adaptively Sparsified Graphs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Zhuoran Song, Naifeng Jing, Xiaoyao Liang
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. ACM TUR-C (2023)
Zhuoran Song, Jianfeng Li, Tao Jiang, Sichen Lu
Distribution Network Planning Method considering the Coupling of Transportation Network and Distribution Network. Scalable Comput. Pract. Exp. 24 (3) (2023)
Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. DATE (2023)
Chunyu Qi, Zilong Li, Zhuoran Song, Xiaoyao Liang
ViTframe: Vision Transformer Acceleration via Informative Frame Selection for Video Recognition. ICCD (2023)
Zhuoran Song, Naifeng Jing, Xiaoyao Liang
-VOR: An End-to-End En/Decoder Architecture for Efficient Video Object Recognition. ACM Trans. Design Autom. Electr. Syst. 28 (1) (2023)
Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity. CoRR (2022)
Zhuoran Song, Zhongkai Yu, Naifeng Jing, Xiaoyao Liang
SR: an end-to-end video CODEC assisted system for super resolution acceleration. DAC (2022)
Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy. ICCAD (2022)
Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang
Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. MICRO (2022)
Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing, Xiaoyao Liang
GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training. ICCD (2022)
Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction. CoRR (2022)
Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang
DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. DATE (2022)
Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang
ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. ISCAS (2021)
Zhuoran Song, Yanan Sun, Lerong Chen, Tianjian Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (1) (2021)
Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang
PIPArch: Programmable Image Processing Architecture Using Sliding Array. ISPA/BDCloud/SocialCom/SustainCom (2021)
Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang
DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration. ISCA (2020)
Zhuoran Song, Yilong Zhao, Yanan Sun, Xiaoyao Liang, Li Jiang
ESNreram: An Energy-Efficient Sparse Neural Network Based on Resistive Random-Access Memory. ACM Great Lakes Symposium on VLSI (2020)
Zhaoming Jiang, Zhuoran Song, Xiaoyao Liang, Naifeng Jing
PRArch: Pattern-Based Reconfigurable Architecture for Deep Neural Network Acceleration. HPCC/DSS/SmartCity (2020)
Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. DAC (2020)
Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang
VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. MICRO (2020)
Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method. ACM Trans. Design Autom. Electr. Syst. 24 (6) (2019)
Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang
Approximate Random Dropout for DNN training acceleration in GPGPU. DATE (2019)
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators. ICCAD (2018)
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. CoRR (2018)
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang
Approximate Random Dropout. CoRR (2018)