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ORCIDCong Guo 0003
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
![[0000-0001-8906-0103]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8906-0103")
— 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 — Chongqing University, State Key Laboratory of Mechanical Transmissions, School of Automotive Engineering, China
- Cong Guo 0008 — Southwest University, College of Artificial Intelligence, Chongqing, China
- Cong Guo 0009 — Guilin University of Electronic Technology, School of Mathematics and Computing Science, China
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2020 – today
- 2024
[j1]Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo:
Accelerating Sparse DNNs Based on Tiled GEMM. IEEE Trans. Computers 73(5): 1275-1289 (2024)- [c13]Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang:
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) 2024: 450-466 - [c12]Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) 2024: 549-565 - [i15]Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang:
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR abs/2401.08156 (2024) - [i14]Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo:
Accelerating Sparse DNNs Based on Tiled GEMM. CoRR abs/2402.10876 (2024) - 2023
- [c11]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. CF 2023: 52-62 - [c10]Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA 2023: 3:1-3:15 - [i13]Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
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, Jingwen Leng, Yangjie Zhou, Minyi 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, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
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, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo:
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD 2022: 738-745 - [c8]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. ICLR 2022 - [c7]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO 2022: 1414-1433 - [c6]Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma:
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, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo:
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. CoRR abs/2208.11945 (2022) - [i7]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR abs/2208.14286 (2022) - [i6]Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi 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, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu:
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC 2021: 214-225 - [c4]Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
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, 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. 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, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
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 2024-06-20 23:14 CEST by the dblp team
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