Cong Guo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
22
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | 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 |
| 2026 | ASPLOS | M | Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng |
| 2026 | HPCA | 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 |
| 2026 | HPCA | 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 |
| 2026 | ISCA | EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture. | Bowen Duan, Cong Guo, Chiyue Wei, Haoxuan Shan, Yuzhe Fu, Xinhua Chen, Yifan Xu, Ziyue Zhang, Changchun Zhou, Hai Li, Yiran Chen |
| 2025 | AAAI | Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction. | Deng Xu, Chao Zhang, Cong Guo, Chunlin Chen, Huaxiong Li |
| 2025 | HPCA | 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 |
| 2025 | HPCA | 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 |
| 2025 | HPCA | Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. | Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen |
| 2025 | ICCV | 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 |
| 2025 | ICDM | ChronoConnect: Tracking Pathways Along Highly Dynamic Vertices in Temporal Graphs. | Jiacheng Ding, Cong Guo, Xiaofei Zhang |
| 2025 | ISCA | Transitive Array: An Efficient GEMM Accelerator with Result Reuse. | Cong Guo, Chiyue Wei, Jiaming Tang, Bowen Duan, Song Han, Hai Li, Yiran Chen |
| 2025 | ISCA | 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 |
| 2025 | ISCA | 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 |
| 2025 | VTC | Autonomous Driving Planning Based on Large Language Model: Collaborative Driving. | James Vilho, Tianhao Liang, Cong Guo, Tingting Zhang |
| 2025 | SC | 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 |
| 2024 | ASPLOS | 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 |
| 2024 | ASPLOS | 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 |
| 2023 | ISCA | 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 |
| 2022 | CSCWD | Adaptive Collaboration with a Training Plan. | Cong Guo, Shiyu Wu, Haibin Zhu, Yin Sheng, Libo Zhang |
| 2022 | ICCD | 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 |
| 2022 | ICLR | 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 |
| 2022 | MICRO | 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 |
| 2022 | SEKE | MFGAN: A Novel CycleGAN-Based Network for Masked Face Generation. | Weiming Xiong, Mingyang Zhong, Cong Guo, Huamin Wang, Libo Zhang |
| 2021 | CSCWD | A Three-Way Human-Robot Task Assignment Method under Intuitionistic Fuzzy Environment. | Libo Zhang, Cong Guo, Linxia Zhang, Yin Sheng |
| 2021 | ISCA | Dual-side Sparse Tensor Core. | Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng |
| 2020 | DAC | 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 |
| 2020 | SC | 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 |
| 2019 | CVPR | Adversarial Defense Through Network Profiling Based Path Extraction. | Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu |
| 2017 | IECON | A diameter path based method for important node detection in complex network. | Yuanyuan Sun, Yawen Guan, Zhizheng Wang, Tao Zhang, Cong Guo, Xinyao Li |
| 2016 | NOMS | On the feasibility of core-rooted path addressing. | Cong Guo, Martin Karsten |
| 2015 | MMSP | Event recognition in personal photo collections using hierarchical model and multiple features. | Cong Guo, Xinmei Tian |
| 2015 | VLDB | Towards Adaptive Resource Allocation for Database Workloads. | Cong Guo, Martin Karsten |
| 2014 | VizSec | OCEANS: online collaborative explorative analysis on network security. | Siming Chen, Cong Guo, Xiaoru Yuan, Fabian Merkle, Hanna Schfer, Thomas Ertl |
| 2013 | ICDE | Scalable maximum clique computation using MapReduce. | Jingen Xiang, Cong Guo, Ashraf Aboulnaga |