Cong Guo

According to our database, Cong Guo authored at least 40 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

A Full-Stack Framework for GNN Acceleration via Partition-Compiler-Architecture Co-Design.

Yangjie Zhou, Zhihui Zhang, Shuwen Lu, Cong Guo, Jingwen Leng, Feng Zhang, Yufei Ma, Yun Liang, Minyi Guo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2026

FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching.

Yuzhe Fu, Hancheng Ye, Cong Guo, Junyao Zhang, Qinsi Wang, Yueqian Lin, Changchun Zhou, Hai Li, Yiran Chen

CoRR, April, 2026

M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization.

Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng

CoRR, January, 2026

Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models.

Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai Helen Li, Yiran Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing.

Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

M²XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization.

Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication.

Haoxuan Shan, Cong Guo, Chiyue Wei, Feng Cheng, Junyao Zhang, Hai Helen Li, Yiran Chen

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

Circuits to Systems: Codesigning Efficient AI Hardware.

Yiran Chen, Cong Guo, Yintao He, Mingyuan Ma, Tergel Molom-Ochir, Nicky Ramos, Haoxuan Shan, Chiyue Wei, Hai Li

IEEE Des. Test, December, 2025

CAMformer: Associative Memory is All You Need.

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

CoRR, November, 2025

DPad: Efficient Diffusion Language Models with Suffix Dropout.

Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai Helen Li, Yiran Chen

CoRR, August, 2025

eLLM: Elastic Memory Management Framework for Efficient LLM Serving.

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

CoRR, June, 2025

DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures.

Chen Zhang, Yang Wang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng, Zhigang Ji, Yuan Xie, Ru Huang

IEEE Trans. Computers, February, 2025

Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers.

Mark Horton, Tergel Molom-Ochir, Peter Liu, Bhavna Gopal, Chiyue Wei, Cong Guo, Brady Taylor, Deliang Fan, Shan X. Wang, Hai Li, Yiran Chen

CoRR, February, 2025

A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation.

Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Peng Chen, Mohamed Wahib, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Yun Lin, Jin Song Dong, Wenxi Zhu, Minwen Deng

Proceedings of the International Conference for High Performance Computing, 2025

Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks.

Chiyue Wei, Bowen Duan, Cong Guo, Jingyang Zhang, Qingyue Song, Hai Li, Yiran Chen

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-Aware Cache Compression.

Feng Cheng, Cong Guo, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Li, Yiran Chen

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Transitive Array: An Efficient GEMM Accelerator with Result Reuse.

Cong Guo, Chiyue Wei, Jiaming Tang, Bowen Duan, Song Han, Hai Li, Yiran Chen

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge.

Linshen Liu, Boyan Su, Junyue Jiang, Guanlin Wu, Cong Guo, Ceyu Xu, Hao (Frank) Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Prosperity: Accelerating Spiking Neural Networks via Product Sparsity.

Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type.

Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference.

Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Chen Jin, Jingwen Leng

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

Accelerating Sparse DNNs Based on Tiled GEMM.

Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo

IEEE Trans. Computers, May, 2024

A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models.

Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao (Frank) Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen

CoRR, 2024

Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization.

Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng

CoRR, 2024

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving.

Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng

CoRR, 2024

JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping.

Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching.

Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design.

Shuwen Lu, Zhihui Zhang, Cong Guo, Jingwen Leng, Yangjie Zhou, Minyi Guo

CoRR, 2023

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization.

Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs.

Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization.

Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo

CoRR, 2022

Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA.

Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization.

Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.

Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

Proceedings of the Tenth International Conference on Learning Representations, 2022

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training.

Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

Dual-side Sparse Tensor Core.

Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators.

Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu

Proceedings of the IEEE International Symposium on Workload Characterization, 2021

2020

Accelerating sparse DNN models without hardware-support via tile-wise sparsity.

Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu

Proceedings of the International Conference for High Performance Computing, 2020

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration.

Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Adversarial Defense Through Network Profiling Based Path Extraction.

Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019