Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. - Cong Guo 003; Yangjie Zhou 001; Jingwen Leng; Yuhao Zhu 001; Zidong Du; Quan Chen 002; Chao Li 009; Bin Yao 002; Minyi Guo (DAC, 2020)

Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. - Yangjie Zhou 001; Mengtian Yang; Cong Guo 003; Jingwen Leng; Yun Liang 001; Quan Chen 002; Minyi Guo; Yuhao Zhu 001 (IISWC, 2021)

Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. - Zhengyi Li 002; Cong Guo 003; Zhanda Zhu; Yangjie Zhou 001; Yuxian Qiu; Xiaotian Gao; Jingwen Leng; Minyi Guo (CoRR, 2022)

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks. - Yangjie Zhou 001; Jingwen Leng; Yaoxu Song; Shuwen Lu; Mian Wang; Chao Li 009; Minyi Guo; Wenting Shen; Yong Li 020; Wei Lin 016; Xiangwen Liu; Hanqing Wu (ASPLOS (2), 2023)

AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. - Yangjie Zhou 001; Yaoxu Song; Jingwen Leng; Zihan Liu 002; Weihao Cui; Zhendong Zhang 004; Cong Guo 003; Quan Chen 002; Li Li 012; Minyi Guo (CF, 2023)

DistSim: A performance model of large-scale hybrid distributed DNN training. - Guandong Lu; Runzhe Chen; Yakai Wang; Yangjie Zhou 001; Rui Zhang; Zheng Hu 002; Yanming Miao; Zhifang Cai; Li Li 012; Jingwen Leng; Minyi Guo (CF, 2023)

DistSim: A performance model of large-scale hybrid distributed DNN training. - Guandong Lu; Runzhe Chen; Yakai Wang; Yangjie Zhou 001; Rui Zhang; Zheng Hu; Yanming Miao; Zhifang Cai; Li Li 012; Jingwen Leng; Minyi Guo (CoRR, 2023)

Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. - Shuwen Lu; Zhihui Zhang; Cong Guo 003; Jingwen Leng; Yangjie Zhou 001; Minyi Guo (CoRR, 2023)

Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning. - Yue Guan 003; Changming Yu; Yangjie Zhou 001; Jingwen Leng; Chao Li 009; Minyi Guo (ASPLOS (3), 2024)

Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. - Yangjie Zhou 001; Honglin Zhu; Qian Qiu; Weihao Cui; Zihan Liu 002; Cong Guo 003; Siyuan Feng; Jintao Meng 001; Haidong Lan; Jingwen Leng; Wenxi Zhu; Minwen Deng (CoRR, 2024)

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. - Zihan Liu 002; Xinhao Luo; Junxian Guo; Wentao Ni; Yangjie Zhou 001; Yue Guan 003; Cong Guo 003; Weihao Cui; Yu Feng 007; Minyi Guo; Yuhao Zhu 001; Minjia Zhang; et al. (HPCA, 2025)

Optimizing SLO-oriented LLM Serving with PD-Multiplexing. - Weihao Cui; Yukang Chen; Han Zhao 005; Ziyi Xu; Quan Chen 002; Xusheng Chen; Yangjie Zhou 001; Shixuan Sun; Minyi Guo (CoRR, 2025)

eLLM: Elastic Memory Management Framework for Efficient LLM Serving. - Jiale Xu; Rui Zhang; Yi Xiong 003; Cong Guo 003; Zihan Liu 002; Yangjie Zhou 001; Weiming Hu; Hao Wu; Changxu Shao; Ziqing Wang; Yongjie Yuan; Junping Zhao; et al. (CoRR, 2025)