Cong Guo - RankMe

61 papers A* 14A 2C 1Journal 37Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Full-Stack Framework for GNN Acceleration via Partition-Compiler-Architecture Co-Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yangjie Zhou, Zhihui Zhang, Shuwen Lu, Cong Guo, Jingwen Leng, Feng Zhang, Yufei Ma, Yun Liang, Minyi Guo
2026	A*	`conf`	Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. HPCA Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai Helen Li, Yiran Chen
2026	A*	`conf`	FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing. HPCA Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen
2026	—	`conf`	M ASPLOS (2) Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng
2026	J	`jnl`	M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization. CoRR Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng
2026	—	`conf`	Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication. ASP-DAC Haoxuan Shan, Cong Guo, Chiyue Wei, Feng Cheng, Junyao Zhang, Hai Helen Li, Yiran Chen
2025	A	`conf`	A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation. SC 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
2025	J	`jnl`	CAMformer: Associative Memory is All You Need. CoRR 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
2025	J	`jnl`	Circuits to Systems: Codesigning Efficient AI Hardware. IEEE Des. Test Yiran Chen, Cong Guo, Yintao He, Mingyuan Ma, Tergel Molom-Ochir, Nicky Ramos, Haoxuan Shan, Chiyue Wei, Hai Li
2025	J	`jnl`	DPad: Efficient Diffusion Language Models with Suffix Dropout. CoRR Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai Helen Li, Yiran Chen
2025	J	`jnl`	DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. IEEE Trans. Computers Chen Zhang, Yang Wang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng, Zhigang Ji, Yuan Xie, Ru Huang
2025	A*	`conf`	Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-Aware Cache Compression. ISCA Feng Cheng, Cong Guo, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Li, Yiran Chen
2025	J	`jnl`	Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression. CoRR Feng Cheng, Cong Guo, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Helen Li, Yiran Chen
2025	J	`jnl`	Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. CoRR Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai (Helen) Li, Yiran Chen
2025	J	`jnl`	FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing. CoRR Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen
2025	J	`jnl`	Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers. CoRR Mark Horton, Tergel Molom-Ochir, Peter Liu, Bhavna Gopal, Chiyue Wei, Cong Guo, Brady Taylor, Deliang Fan, Shan X. Wang, Hai Li, Yiran Chen
2025	A*	`conf`	M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. HPCA Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng
2025	J	`jnl`	M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. CoRR Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng
2025	A*	`conf`	Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks. ISCA Chiyue Wei, Bowen Duan, Cong Guo, Jingyang Zhang, Qingyue Song, Hai Li, Yiran Chen
2025	J	`jnl`	Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks. CoRR Chiyue Wei, Bowen Duan, Cong Guo, Jingyang Zhang, Qingyue Song, Hai Helen Li, Yiran Chen
2025	J	`jnl`	Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication. CoRR Haoxuan Shan, Cong Guo, Chiyue Wei, Feng Cheng, Junyao Zhang, Hai Li, Yiran Chen
2025	A*	`conf`	Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. HPCA Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen
2025	J	`jnl`	Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. CoRR Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen
2025	J	`jnl`	Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge. CoRR Linshen Liu, Boyan Su, Junyue Jiang, Guanlin Wu, Cong Guo, Ceyu Xu, Hao (Frank) Yang
2025	A*	`conf`	Transitive Array: An Efficient GEMM Accelerator with Result Reuse. ISCA Cong Guo, Chiyue Wei, Jiaming Tang, Bowen Duan, Song Han, Hai Li, Yiran Chen
2025	J	`jnl`	Transitive Array: An Efficient GEMM Accelerator with Result Reuse. CoRR Cong Guo, Chiyue Wei, Jiaming Tang, Bowen Duan, Song Han, Hai Li, Yiran Chen
2025	A*	`conf`	VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. HPCA 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	J	`jnl`	VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. CoRR 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
2025	J	`jnl`	eLLM: Elastic Memory Management Framework for Efficient LLM Serving. CoRR 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
2024	J	`jnl`	A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. CoRR 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
2024	J	`jnl`	Accelerating Sparse DNNs Based on Tiled GEMM. CoRR Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
2024	J	`jnl`	Accelerating Sparse DNNs Based on Tiled GEMM. IEEE Trans. Computers Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
2024	—	`conf`	GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
2024	J	`jnl`	GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
2024	—	`conf`	JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
2024	J	`jnl`	Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. CoRR Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng
2024	J	`jnl`	vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR 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
2023	J	`jnl`	Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. CoRR Shuwen Lu, Zhihui Zhang, Cong Guo, Jingwen Leng, Yangjie Zhou, Minyi Guo
2023	—	`conf`	AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CF Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo
2023	J	`jnl`	AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CoRR Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo
2023	J	`jnl`	JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. CoRR Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
2023	A*	`conf`	OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2023	J	`jnl`	OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2022	A*	`conf`	ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2022	J	`jnl`	ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2022	J	`jnl`	Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. CoRR Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo
2022	C	`conf`	Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
2022	J	`jnl`	Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
2022	A*	`conf`	SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
2022	J	`jnl`	SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
2022	—	`conf`	Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA. MSN Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma
2021	—	`conf`	Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
2021	J	`jnl`	Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. CoRR Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
2021	A*	`conf`	Dual-side Sparse Tensor Core. ISCA Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
2021	J	`jnl`	Dual-side Sparse Tensor Core. CoRR Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
2020	J	`jnl`	Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
2020	A	`conf`	Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
2020	A*	`conf`	Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. DAC Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo
2020	J	`jnl`	Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. CoRR Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao
2019	A*	`conf`	Adversarial Defense Through Network Profiling Based Path Extraction. CVPR Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
2019	J	`jnl`	Adversarial Defense Through Network Profiling Based Path Extraction. CoRR Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu