Yangjie Zhou

According to our database, Yangjie Zhou authored at least 22 papers between 2020 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

Optimus: Elastic Decoding for Efficient Diffusion LLM Serving.

Chiyue Wei, Cong Guo, Bowen Duan, Junyao Zhang, Haoxuan Shan, Yifei Wang, Yangjie Zhou, Hai (Helen) Li, Danyang Zhuo, Yiran Chen

CoRR, May, 2026

FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection.

Ziyu Huang, Yangjie Zhou, Zihan Liu, Xinhao Luo, Yijia Diao, Minyi Guo, Jidong Zhai, Yu Feng, Chen Zhang, Anbang Wu, Jingwen Leng

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

Towards High-Goodput LLM Serving with Prefill-decode Multiplexing.

Yukang Chen, Weihao Cui, Han Zhao, Ziyi Xu, Xiaoze Fan, Xusheng Chen, Yangjie Zhou, Shixuan Sun, Bingsheng He, Quan Chen

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

CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels.

Xing Ma, Yangjie Zhou, Wu Sun, Zihan Liu, Jingwen Leng, Yun Lin, Shixuan Sun, Minyi Guo, Jin Song Dong

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive.

Xinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo

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

Optimizing SLO-oriented LLM Serving with PD-Multiplexing.

Weihao Cui, Yukang Chen, Han Zhao, Ziyi Xu, Quan Chen, Xusheng Chen, Yangjie Zhou, Shixuan Sun, Minyi Guo

CoRR, April, 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

Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding.

Yue Guan, Changming Yu, Shihan Fang, Weiming Hu, Zaifeng Pan, Zheng Wang, Zihan Liu, Yangjie Zhou, Yufei Ding, Minyi Guo, Jingwen Leng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Voyager: Input-Adaptive Algebraic Transformations for High-Performance Graph Neural Networks.

Yangjie Zhou, Wenting Shen, Jingwen Leng, Shuwen Lu, Zihan Liu, Weihao Cui, Zhendong Zhang, Wencong Xiao, Baole Ai, Yong Li, Wei Lin, Deze Zeng, Yun Liang, Quan Chen, Ning Liu, Minyi Guo

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

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

Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning.

Yue Guan, Changming Yu, Yangjie Zhou, Jingwen Leng, Chao Li, Minyi Guo

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

DistSim: A performance model of large-scale hybrid distributed DNN training.

Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo

CoRR, 2023

DistSim: A performance model of large-scale hybrid distributed DNN training.

Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo

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

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks.

Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 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

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

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