Zhuoran Song

72 papers A* 21A 9C 7Journal 26Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
AGS: Accelerating 3D Gaussian Splatting SLAM via CODEC-Assisted Frame Covisibility Detection.
ASPLOS (1)
Houshu He, Naifeng Jing, Li Jiang, Xiaoyao Liang, Zhuoran Song
2026 J jnl
DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCs.
CoRR
Zeyu Zhu, Gang Li, Peisong Wang, Zitao Mo, Minnan Pei, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2026 A* conf
Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems.
HPCA
Chen Zhang, Qijun Zhang, Zhuoshan Zhou, Yijia Diao, Haibo Wang, Zhe Zhou, Zhipeng Tu, Zhiyao Li, Guangyu Sun, Zhuoran Song, Zhigang Ji, Jingwen Leng, Minyi Guo
2025 J jnl
AGS: Accelerating 3D Gaussian Splatting SLAM via CODEC-Assisted Frame Covisibility Detection.
CoRR
Houshu He, Naifeng Jing, Li Jiang, Xiaoyao Liang, Zhuoran Song
2025 — conf
ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering.
ASPLOS (3)
Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Haibing Guan, Li Jiang
2025 J jnl
ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering.
CoRR
Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Habing Guan, Li Jiang
2025 J jnl
Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization.
CoRR
Zhican Wang, Guanghui He, Dantong Liu, Lingjun Gao, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Wayne Luk, Hongxiang Fan
2025 J jnl
Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing.
CoRR
Dan Peng, Zhihui Fu, Zewen Ye, Zhuoran Song, Jun Wang
2025 A* conf
Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table.
ISCA
Tianbo Liu, Xinkai Song, Zhifei Yue, Rui Wen, Xing Hu, Zhuoran Song, Yuanbo Wen, Yifan Hao, Wei Li, Zidong Du, Rui Zhang, Jiaming Guo, Di Huang, Shaohui Peng, Guangzhong Sun, Qi Guo, Tianshi Chen
2025 A* conf
GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing.
MICRO
Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025 J jnl
GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing.
CoRR
Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
2025 J jnl
GCNTrain+: A Versatile and Efficient Accelerator for Graph Convolutional Neural Network Training.
ACM Trans. Archit. Code Optim.
Zhuoran Song, Jiabei Long, Li Jiang, Naifeng Jing, Xiaoyao Liang
2025 A conf
GIFTS: Efficient GCN Inference Framework on PyTorch-CPU via Exploring the Sparsity.
IPDPS
Ruiyang Chen, Xing Li, Xiaoyao Liang, Zhuoran Song
2025 A* conf
GSArch: Breaking Memory Barriers in 3D Gaussian Splatting Training via Architectural Support.
HPCA
Houshu He, Gang Li, Fangxin Liu, Li Jiang, Xiaoyao Liang, Zhuoran Song
2025 A* conf
HEAT: NPU-NDP HEterogeneous Architecture for Transformer-Empowered Graph Neural Networks.
MICRO
Ruiyang Chen, Zhuoran Song, Yicheng Zheng, Zeyu Zhu, Gang Li, Naifeng Jing, Xiaoyao Liang, Haibing Guan
2025 J jnl
HyCTor: A Hybrid CNN-Transformer Network Accelerator With Flexible Weight/Output Stationary Dataflow and Multicore Extension.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Shuai Yuan, Weifeng He, Zhenhua Zhu, Fangxin Liu, Zhuoran Song, Guohao Dai, Guanghui He, Yanan Sun
2025 — conf
Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers.
Euro-Par (2)
Cheng Gu, Gang Li, Xuan Zhang, Jiayao Ling, Xiaolong Lin, Zhuoran Song, Jian Cheng, Xiaoyao Liang
2025 J jnl
Load prediction and optimization of main transformer based on EEMD-BP neural network.
Discov. Comput.
Wenlei Dou, Zhanjun Li, Zhuoran Song, Yongji Tong, Hongbo Zhu, Sichen Lu
2025 A* conf
MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization.
DAC
Chunyu Qi, Xuhang Wang, Ruiyang Chen, Yuanzheng Yao, Naifeng Jing, Chen Zhang, Jun Wang, Zhihui Fu, Xiaoyao Liang, Zhuoran Song
2025 J jnl
RTSA: A Run-Through Sparse Attention Framework for Video Transformer.
IEEE Trans. Computers
Xuhang Wang, Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Li Jiang, Xiaoyao Liang
2025 A* conf
SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity.
DAC
Ruiyang Chen, Xueyuan Liu, Chunyu Qi, Yuanzheng Yao, Yanan Sun, Xiaoyao Liang, Zhuoran Song
2025 J jnl
Scaling Laws for Speculative Decoding.
CoRR
Siyuan Yan, Mo Zhu, Guo-qing Jiang, Jianfei Wang, Jiaxing Chen, Wentai Zhang, Xiang Liao, Xiao Cui, Chen Zhang, Zhuoran Song, Ran Zhu
2025 A* conf
SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU.
DAC
Yuanzheng Yao, Chen Zhang, Chunyu Qi, Ruiyang Chen, Jun Wang, Zhihui Fu, Naifeng Jing, Xiaoyao Liang, Zhuoran Song
2025 A conf
TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism.
DATE
Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang
2025 J jnl
Vision Transformer Acceleration via a Versatile Attention Optimization Framework.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xuhang Wang, Qiyue Huang, Xing Li, Haozhe Jiang, Qiang Xu, Xiaoyao Liang, Zhuoran Song
2024 — conf
CMC: Video Transformer Acceleration via CODEC Assisted Matrix Condensing.
ASPLOS (2)
Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
2024 A* conf
EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks.
DAC
Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang
2024 C conf
Early: An Importance-Aware Early Firing and Exit for SNN Acceleration.
ICCD
Xuan Zhang, Zhuoran Song, Peng Zhou, Xing Li, Xueyuan Liu, Xiaolong Lin, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2024 J jnl
Environmental Condition Aware Super-Resolution Acceleration Framework in Server-Client Hierarchies.
ACM Trans. Archit. Code Optim.
Zhuoran Song, Zhongkai Yu, Xinkai Song, Yifan Hao, Li Jiang, Naifeng Jing, Xiaoyao Liang
2024 A conf
FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks.
DATE
Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang
2024 A* conf
INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding.
DAC
Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang
2024 A* conf
InterArch: Video Transformer Acceleration via Inter-Feature Deduplication with Cube-based Dataflow.
DAC
Xuhang Wang, Zhuoran Song, Xiaoyao Liang
2024 J jnl
Janus: A Flexible Processing-in-Memory Graph Accelerator Toward Sparsity.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xing Li, Zhuoran Song, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Xuhang Wang, Jiayao Ling, Gang Li, Naifeng Jing, Xiaoyao Liang
2024 A* conf
MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks.
DAC
Xueyuan Liu, Zhuoran Song, Hao Chen, Xing Li, Xiaoyao Liang
2024 A* conf
SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding.
HPCA
Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang
2024 A* conf
SRender: Boosting Neural Radiance Field Efficiency via Sensitivity-Aware Dynamic Precision Rendering.
MICRO
Zhuoran Song, Houshu He, Fangxin Liu, Yifan Hao, Xinkai Song, Li Jiang, Xiaoyao Liang
2024 A conf
Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer.
DATE
Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang
2024 A* conf
TSAcc: An Efficient \underline{T}empo-\underline{S}patial Similarity Aware \underline{Acc}elerator for Attention Acceleration.
DAC
Zhuoran Song, Chunyu Qi, Yuanzheng Yao, Peng Zhou, Yanyi Zi, Nan Wang, Xiaoyao Liang
2024 — conf
Watt: A Write-Optimized RRAM-Based Accelerator for Attention.
Euro-Par (2)
Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang
2023 J jnl
A Point Cloud Video Recognition Acceleration Framework Based on Tempo-Spatial Information.
IEEE Trans. Parallel Distributed Syst.
Zhuoran Song, Wanzhen Liu, Tao Yang, Fangxin Liu, Naifeng Jing, Xiaoyao Liang
2023 A* conf
AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity.
DAC
Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2023 C conf
DEQ: Dynamic Element-wise Quantization for Efficient Attention Architecture.
ICCD
Xuhang Wang, Zhuoran Song, Qiyue Huang, Xiaoyao Liang
2023 J jnl
Distribution Network Planning Method considering the Coupling of Transportation Network and Distribution Network.
Scalable Comput. Pract. Exp.
Zhuoran Song, Jianfeng Li, Tao Jiang, Sichen Lu
2023 J jnl
E
ACM Trans. Design Autom. Electr. Syst.
Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2023 C conf
HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model.
ICCD
Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2023 J jnl
Impact of Photovoltaic Systems on Distribution Networks with Advances of Cloud, Grid and Cluster Computing.
Scalable Comput. Pract. Exp.
Zhuoran Song, Jianfeng Li, Tao Jiang, Sichen Lu
2023 J jnl
PASGCN: An ReRAM-Based PIM Design for GCN With Adaptively Sparsified Graphs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tao Yang, Dongyue Li, Fei Ma, Zhuoran Song, Yilong Zhao, Jiaxi Zhang, Fangxin Liu, Li Jiang
2023 — conf
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation.
ACM TUR-C
Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2023 A conf
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation.
DATE
Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang
2023 J jnl
Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration Framework.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhuoran Song, Heng Lu, Li Jiang, Naifeng Jing, Xiaoyao Liang
2023 C conf
RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators.
ICCD
Xuhang Wang, Zhuoran Song, Xiaoyao Liang
2023 C conf
ViTframe: Vision Transformer Acceleration via Informative Frame Selection for Video Recognition.
ICCD
Chunyu Qi, Zilong Li, Zhuoran Song, Xiaoyao Liang
2022 J jnl
CP-ViT: Cascade Vision Transformer Pruning via Progressive Sparsity Prediction.
CoRR
Zhuoran Song, Yihong Xu, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2022 J jnl
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity.
CoRR
Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
2022 A conf
DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.
DATE
Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang
2022 A* conf
E
DAC
Zhuoran Song, Zhongkai Yu, Naifeng Jing, Xiaoyao Liang
2022 C conf
GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training.
ICCD
Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing, Xiaoyao Liang
2022 A conf
Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy.
ICCAD
Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang
2022 A* conf
Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN.
MICRO
Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang
2021 J jnl
ITT-RNA: Imperfection Tolerable Training for RRAM-Crossbar-Based Deep Neural-Network Accelerator.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhuoran Song, Yanan Sun, Lerong Chen, Tianjian Li, Naifeng Jing, Xiaoyao Liang, Li Jiang
2021 — conf
PIPArch: Programmable Image Processing Architecture Using Sliding Array.
ISPA/BDCloud/SocialCom/SustainCom
Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang
2021 C conf
ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator.
ISCAS
Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang
2020 A* conf
DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration.
ISCA
Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang
2020 — conf
ESNreram: An Energy-Efficient Sparse Neural Network Based on Resistive Random-Access Memory.
ACM Great Lakes Symposium on VLSI
Zhuoran Song, Yilong Zhao, Yanan Sun, Xiaoyao Liang, Li Jiang
2020 A* conf
GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores.
DAC
Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing
2020 — conf
PRArch: Pattern-Based Reconfigurable Architecture for Deep Neural Network Acceleration.
HPCC/DSS/SmartCity
Zhaoming Jiang, Zhuoran Song, Xiaoyao Liang, Naifeng Jing
2020 A* conf
VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration.
MICRO
Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang
2019 A conf
Approximate Random Dropout for DNN training acceleration in GPGPU.
DATE
Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang
2019 J jnl
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method.
ACM Trans. Design Autom. Electr. Syst.
Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang
2018 J jnl
Approximate Random Dropout.
CoRR
Zhuoran Song, Dongyu Ru, Ru Wang, Hongru Huang, Zhenghao Peng, Jing Ke, Xiaoyao Liang, Li Jiang
2018 J jnl
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators.
CoRR
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
2018 A conf
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators.
ICCAD
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang