Zhuoran Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
12
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | AGS: Accelerating 3D Gaussian Splatting SLAM via CODEC-Assisted Frame Covisibility Detection. | Houshu He, Naifeng Jing, Li Jiang, Xiaoyao Liang, Zhuoran Song |
| 2026 | HPCA | Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems. | 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 |
| 2026 | ISCA | AQuant: Repurposing CODEC for VLM Acceleration via Adaptive Quantization. | Zhuoran Song, Chunyu Qi, Jian Weng, Xiaoyao Liang, Haibing Guan |
| 2026 | ISCA | Efficient 3D Gaussian Splatting with Axis-Shared Rasterization and Order-independent Transmittance. | Zhican Wang, Guanghui He, Lingjun Gao, Dantong Liu, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Hongxiang Fan |
| 2025 | ASPLOS | ASDR: Exploiting Adaptive Sampling and Data Reuse for CIM-based Instant Neural Rendering. | Fangxin Liu, Haomin Li, Bowen Zhu, Zongwu Wang, Zhuoran Song, Haibing Guan, Li Jiang |
| 2025 | DAC | SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity. | Ruiyang Chen, Xueyuan Liu, Chunyu Qi, Yuanzheng Yao, Yanan Sun, Xiaoyao Liang, Zhuoran Song |
| 2025 | DAC | MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization. | Chunyu Qi, Xuhang Wang, Ruiyang Chen, Yuanzheng Yao, Naifeng Jing, Chen Zhang, Jun Wang, Zhihui Fu, Xiaoyao Liang, Zhuoran Song |
| 2025 | DAC | SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU. | Yuanzheng Yao, Chen Zhang, Chunyu Qi, Ruiyang Chen, Jun Wang, Zhihui Fu, Naifeng Jing, Xiaoyao Liang, Zhuoran Song |
| 2025 | DATE | TAIL: Exploiting Temporal Asynchronous Execution for Efficient Spiking Neural Networks with Inter-Layer Parallelism. | Haomin Li, Fangxin Liu, Zongwu Wang, Dongxu Lyu, Shiyuan Huang, Ning Yang, Qi Sun, Zhuoran Song, Li Jiang |
| 2025 | EuroPar | Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers. | Cheng Gu, Gang Li, Xuan Zhang, Jiayao Ling, Xiaolong Lin, Zhuoran Song, Jian Cheng, Xiaoyao Liang |
| 2025 | HPCA | GSArch: Breaking Memory Barriers in 3D Gaussian Splatting Training via Architectural Support. | Houshu He, Gang Li, Fangxin Liu, Li Jiang, Xiaoyao Liang, Zhuoran Song |
| 2025 | ISCA | Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table. | 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 | MICRO | HEAT: NPU-NDP HEterogeneous Architecture for Transformer-Empowered Graph Neural Networks. | Ruiyang Chen, Zhuoran Song, Yicheng Zheng, Zeyu Zhu, Gang Li, Naifeng Jing, Xiaoyao Liang, Haibing Guan |
| 2025 | MICRO | GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. | Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng |
| 2024 | ASPLOS | CMC: Video Transformer Acceleration via CODEC Assisted Matrix Condensing. | Zhuoran Song, Chunyu Qi, Fangxin Liu, Naifeng Jing, Xiaoyao Liang |
| 2024 | DAC | MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks. | Xueyuan Liu, Zhuoran Song, Hao Chen, Xing Li, Xiaoyao Liang |
| 2024 | DAC | INSPIRE: Accelerating Deep Neural Networks via Hardware-friendly Index-Pair Encoding. | Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Haomin Li, Shiyuan Huang, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | DAC | TSAcc: An Efficient \underline{T}empo-\underline{S}patial Similarity Aware \underline{Acc}elerator for Attention Acceleration. | Zhuoran Song, Chunyu Qi, Yuanzheng Yao, Peng Zhou, Yanyi Zi, Nan Wang, Xiaoyao Liang |
| 2024 | DAC | InterArch: Video Transformer Acceleration via Inter-Feature Deduplication with Cube-based Dataflow. | Xuhang Wang, Zhuoran Song, Xiaoyao Liang |
| 2024 | DAC | EOS: An Energy-Oriented Attack Framework for Spiking Neural Networks. | Ning Yang, Fangxin Liu, Zongwu Wang, Haomin Li, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | DATE | FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks. | Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu, Xiaoyao Liang |
| 2024 | DATE | Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer. | Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu, Xiaoyao Liang |
| 2024 | EuroPar | Watt: A Write-Optimized RRAM-Based Accelerator for Attention. | Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Naifeng Jing, Li Jiang, Xiaoyao Liang |
| 2024 | HPCA | SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding. | Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang |
| 2024 | ICCD | Early: An Importance-Aware Early Firing and Exit for SNN Acceleration. | Xuan Zhang, Zhuoran Song, Peng Zhou, Xing Li, Xueyuan Liu, Xiaolong Lin, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang |
| 2024 | MICRO | SRender: Boosting Neural Radiance Field Efficiency via Sensitivity-Aware Dynamic Precision Rendering. | Zhuoran Song, Houshu He, Fangxin Liu, Yifan Hao, Xinkai Song, Li Jiang, Xiaoyao Liang |
| 2023 | DAC | AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity. | Xiaolong Lin, Gang Li, Zizhao Liu, Yadong Liu, Fan Zhang, Zhuoran Song, Naifeng Jing, Xiaoyao Liang |
| 2023 | DATE | PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation. | Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing, Xiaoyao Liang |
| 2023 | ICCD | ViTframe: Vision Transformer Acceleration via Informative Frame Selection for Video Recognition. | Chunyu Qi, Zilong Li, Zhuoran Song, Xiaoyao Liang |
| 2023 | ICCD | DEQ: Dynamic Element-wise Quantization for Efficient Attention Architecture. | Xuhang Wang, Zhuoran Song, Qiyue Huang, Xiaoyao Liang |
| 2023 | ICCD | RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators. | Xuhang Wang, Zhuoran Song, Xiaoyao Liang |
| 2023 | ICCD | HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. | Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang |
| 2022 | DAC | E | Zhuoran Song, Zhongkai Yu, Naifeng Jing, Xiaoyao Liang |
| 2022 | DATE | DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. | Tao Yang, Dongyue Li, Zhuoran Song, Yilong Zhao, Fangxin Liu, Zongwu Wang, Zhezhi He, Li Jiang |
| 2022 | ICCAD | Gzippo: Highly-Compact Processing-in-Memory Graph Accelerator Alleviating Sparsity and Redundancy. | Xing Li, Rachata Ausavarungnirun, Xiao Liu, Xueyuan Liu, Xuan Zhang, Heng Lu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang |
| 2022 | ICCD | GCNTrain: A Unified and Efficient Accelerator for Graph Convolutional Neural Network Training. | Heng Lu, Zhuoran Song, Xing Li, Naifeng Jing, Xiaoyao Liang |
| 2022 | MICRO | Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. | Gang Li, Weixiang Xu, Zhuoran Song, Naifeng Jing, Jian Cheng, Xiaoyao Liang |
| 2021 | ISCAS | ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator. | Zhuoran Song, Dongyue Li, Zhezhi He, Xiaoyao Liang, Li Jiang |
| 2021 | ISPA | PIPArch: Programmable Image Processing Architecture Using Sliding Array. | Feiyang Wu, Zhuoran Song, Jing Ke, Li Jiang, Naifeng Jing, Xiaoyao Liang |
| 2020 | DAC | GPNPU: Enabling Efficient Hardware-Based Direct Convolution with Multi-Precision Support in GPU Tensor Cores. | Zhuoran Song, Jianfei Wang, Tianjian Li, Li Jiang, Jing Ke, Xiaoyao Liang, Naifeng Jing |
| 2020 | HPCC | PRArch: Pattern-Based Reconfigurable Architecture for Deep Neural Network Acceleration. | Zhaoming Jiang, Zhuoran Song, Xiaoyao Liang, Naifeng Jing |
| 2020 | ISCA | DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration. | Zhuoran Song, Bangqi Fu, Feiyang Wu, Zhaoming Jiang, Li Jiang, Naifeng Jing, Xiaoyao Liang |
| 2020 | MICRO | VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. | Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang |
| 2019 | DATE | Approximate Random Dropout for DNN training acceleration in GPGPU. | Zhuoran Song, Ru Wang, Dongyu Ru, Zhenghao Peng, Hongru Huang, Hai Zhao, Xiaoyao Liang, Li Jiang |
| 2018 | ICCAD | Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators. | Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang |