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Cong Guo 0003
郭聪
Person information
- unicode name: 郭聪
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
Other persons with the same name
- Cong Guo — disambiguation page
- Cong Guo 0001 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application, China
- Cong Guo 0002
— University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems, Hefei, China
- Cong Guo 0004 — Peking University, School of EECS, MoE Key Laboratory of Machine Perception, China
- Cong Guo 0005 — University of Waterloo, Cheriton School of Computer Science, ON, Canada
- Cong Guo 0006 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Cong Guo 0007
- Cong Guo 0008
- Cong Guo 0009 — Guilin University of Electronic Technology, School of Mathematics and Computing Science, China
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2020 – today
- 2026
- [j4]Yangjie Zhou
A Full-Stack Framework for GNN Acceleration via Partition-Compiler-Architecture Co-Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 45(5): 2348-2361 (2026) - [c24]Haoxuan Shan, Cong Guo, Chiyue Wei, Feng Cheng, Junyao Zhang, Hai Helen Li, Yiran Chen:
Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication. ASP-DAC 2026: 1449-1455 - [c23]Weiming Hu
M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization. ASPLOS (2) 2026: 1151-1167 - [c22]Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan
FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing. HPCA 2026: 1-15 - [c21]Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu
Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. HPCA 2026: 1-18 - [i33]Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng:
M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization. CoRR abs/2601.19213 (2026) - 2025
- [j3]Yiran Chen
Circuits to Systems: Codesigning Efficient AI Hardware. IEEE Des. Test 42(6): 54-62 (2025) - [j2]Chen Zhang
DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. IEEE Trans. Computers 74(2): 341-355 (2025) - [c20]Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen:
Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. HPCA 2025: 806-820 - [c19]Weiming Hu, Haoyan Zhang
M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. HPCA 2025: 1112-1126 - [c18]Zihan Liu
VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. HPCA 2025: 1496-1509 - [c17]Feng Cheng
Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-Aware Cache Compression. ISCA 2025: 793-807 - [c16]Chiyue Wei
Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks. ISCA 2025: 930-943 - [c15]Cong Guo
Transitive Array: An Efficient GEMM Accelerator with Result Reuse. ISCA 2025: 990-1004 - [c14]Yangjie Zhou
A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation. SC 2025: 167-184 - [i32]Mark Horton, Tergel Molom-Ochir, Peter Liu, Bhavna Gopal, Chiyue Wei, Cong Guo, Brady Taylor, Deliang Fan, Shan X. Wang, Hai Li, Yiran Chen:
Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers. CoRR abs/2502.01770 (2025) - [i31]Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng:
M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. CoRR abs/2502.18755 (2025) - [i30]Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Jingwen Leng, Chen Jin:
VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. CoRR abs/2503.02236 (2025) - [i29]Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen:
Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. CoRR abs/2503.03379 (2025) - [i28]Cong Guo, Chiyue Wei, Jiaming Tang, Bowen Duan, Song Han, Hai Li, Yiran Chen:
Transitive Array: An Efficient GEMM Accelerator with Result Reuse. CoRR abs/2504.16339 (2025) - [i27]Feng Cheng, Cong Guo, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Helen Li, Yiran Chen:
Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression. CoRR abs/2505.06901 (2025) - [i26]Chiyue Wei, Bowen Duan, Cong Guo, Jingyang Zhang, Qingyue Song, Hai Helen Li, Yiran Chen:
Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks. CoRR abs/2505.10909 (2025) - [i25]Jiale Xu, Rui Zhang, Yi Xiong, Cong Guo, Zihan Liu, Yangjie Zhou, Weiming Hu, Hao Wu, Changxu Shao, Ziqing Wang, Yongjie Yuan, Junping Zhao, Minyi Guo, Jingwen Leng:
eLLM: Elastic Memory Management Framework for Efficient LLM Serving. CoRR abs/2506.15155 (2025) - [i24]Linshen Liu, Boyan Su, Junyue Jiang, Guanlin Wu, Cong Guo, Ceyu Xu, Hao (Frank) Yang
Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge. CoRR abs/2507.04123 (2025) - [i23]Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai Helen Li, Yiran Chen:
DPad: Efficient Diffusion Language Models with Suffix Dropout. CoRR abs/2508.14148 (2025) - [i22]Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen:
FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing. CoRR abs/2511.07665 (2025) - [i21]Tergel Molom-Ochir, Benjamin F. Morris III, Mark Horton, Chiyue Wei, Cong Guo, Brady Taylor, Peter Liu, Shan X. Wang, Deliang Fan, Hai Helen Li, Yiran Chen:
CAMformer: Associative Memory is All You Need. CoRR abs/2511.19740 (2025) - [i20]Haoxuan Shan, Cong Guo, Chiyue Wei, Feng Cheng, Junyao Zhang, Hai Li, Yiran Chen:
Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication. CoRR abs/2511.21910 (2025) - [i19]Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai (Helen) Li, Yiran Chen:
Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. CoRR abs/2512.14661 (2025) - 2024
- [j1]Cong Guo
Accelerating Sparse DNNs Based on Tiled GEMM. IEEE Trans. Computers 73(5): 1275-1289 (2024) - [c13]Cong Guo
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) 2024: 450-466 - [c12]Zihan Liu
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) 2024: 549-565 - [i18]Cong Guo
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR abs/2401.08156 (2024) - [i17]Cong Guo
Accelerating Sparse DNNs Based on Tiled GEMM. CoRR abs/2402.10876 (2024) - [i16]Jiale Xu, Rui Zhang, Cong Guo
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR abs/2407.15309 (2024) - [i15]Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. CoRR abs/2409.01075 (2024) - [i14]Cong Guo
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. CoRR abs/2410.07265 (2024) - 2023
- [c11]Yangjie Zhou
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CF 2023: 52-62 - [c10]Cong Guo
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA 2023: 3:1-3:15 - [i13]Cong Guo
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR abs/2304.07493 (2023) - [i12]Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo:
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CoRR abs/2305.17408 (2023) - [i11]Shuwen Lu, Zhihui Zhang, Cong Guo
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. CoRR abs/2308.08174 (2023) - [i10]Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. CoRR abs/2312.01712 (2023) - 2022
- [c9]Cong Guo
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD 2022: 738-745 - [c8]Cong Guo
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR 2022 - [c7]Cong Guo
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO 2022: 1414-1433 - [c6]Mustafa Tarik Sanic, Cong Guo
Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA. MSN 2022: 736-743 - [i9]Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo:
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR abs/2202.07471 (2022) - [i8]Zhengyi Li, Cong Guo
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. CoRR abs/2208.11945 (2022) - [i7]Cong Guo
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR abs/2208.14286 (2022) - [i6]Cong Guo
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR abs/2209.10778 (2022) - 2021
- [c5]Yangjie Zhou, Mengtian Yang, Cong Guo
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC 2021: 214-225 - [c4]Yang Wang, Chen Zhang
Dual-side Sparse Tensor Core. ISCA 2021: 1083-1095 - [i5]Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
Dual-side Sparse Tensor Core. CoRR abs/2105.09564 (2021) - [i4]Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu:
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. CoRR abs/2110.03901 (2021) - 2020
- [c3]Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo:
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. DAC 2020: 1-6 - [c2]Cong Guo
Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC 2020: 16 - [i3]Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao:
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. CoRR abs/2002.08326 (2020) - [i2]Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu:
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR abs/2008.13006 (2020)
2010 – 2019
- 2019
- [c1]Yuxian Qiu, Jingwen Leng, Cong Guo
Adversarial Defense Through Network Profiling Based Path Extraction. CVPR 2019: 4777-4786 - [i1]Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
Adversarial Defense Through Network Profiling Based Path Extraction. CoRR abs/1904.08089 (2019)
Coauthor Index
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last updated on 2026-05-08 23:41 CEST by the dblp team
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