DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. - Zihan Liu 002; Jingwen Leng; Quan Chen 002; Chao Li 009; Wenli Zheng; Li Li 012; Minyi Guo (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Survey and design of paleozoic: a high-performance compiler tool chain for deep learning inference accelerator. - Zihan Liu 002; Jingwen Leng; Guandong Lu; Chenhui Wang; Quan Chen 002; Minyi Guo (CCF Trans. High Perform. Comput., 2020)

VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling. - Zihan Liu 002; Jingwen Leng; Zhihui Zhang; Quan Chen 002; Chao Li 009; Minyi Guo (ASPLOS, 2022)

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. - Cong Guo 003; Chen Zhang 001; Jingwen Leng; Zihan Liu 002; Fan Yang 024; Yunxin Liu 001; Minyi Guo; Yuhao Zhu 001 (MICRO, 2022)

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)

DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service. - Xiaoxiang Shi; Chao Li 009; Zijun Li 001; Zihan Liu 002; Dianmo Sheng; Quan Chen 002; Jingwen Leng; Minyi Guo (CoRR, 2023)

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. - Cong Guo 003; Rui Zhang; Jiale Xu; Jingwen Leng; Zihan Liu 002; Ziyu Huang; Minyi Guo; Hao Wu; Shouren Zhao; Junping Zhao; Ke Zhang (ASPLOS (2), 2024)

JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. - Zihan Liu 002; Wentao Ni; Jingwen Leng; Yu Feng 007; Cong Guo 003; Quan Chen 002; Chao Li 009; Minyi Guo; Yuhao Zhu 001 (ASPLOS (2), 2024)

Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. - Yu Feng 007; Zihan Liu 002; Jingwen Leng; Minyi Guo; Yuhao Zhu 001 (ISCA, 2024)

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. - Jiale Xu; Rui Zhang; Cong Guo 003; Weiming Hu; Zihan Liu 002; Feiyang Wu; Yu Feng 007; Shixuan Sun; Changxu Shao; Yuhong Guo; Junping Zhao; Ke Zhang; et al. (CoRR, 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)

Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture. - Yu Feng 007; Weikai Lin; Zihan Liu 002; Jingwen Leng; Minyi Guo; Han Zhao 005; Xiaofeng Hou; Jieru Zhao; Yuhao Zhu 001 (ACM Trans. Archit. Code Optim., 2024)

StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. - Yu Feng 007; Zheng Liu; Weikai Lin; Zihan Liu 002; Jingwen Leng; Minyi Guo; Zhezhi He; Jieru Zhao; Yuhao Zhu 001 (ASPLOS (2), 2025)

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)

M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. - Weiming Hu; Haoyan Zhang; Cong Guo 003; Yu Feng 007; Renyang Guan; Zhendong Hua; Zihan Liu 002; Yue Guan 003; Minyi Guo; Jingwen Leng (HPCA, 2025)

Lumina: Real-Time Neural Rendering by Exploiting Computational Redundancy. - Yu Feng 007; Weikai Lin; Yuge Cheng; Zihan Liu 002; Jingwen Leng; Minyi Guo; Chen Chen 067; Shixuan Sun; Yuhao Zhu 001 (ISCA, 2025)

SeeLe: A Unified Acceleration Framework for Real-Time Gaussian Splatting. - Xiaotong Huang; He Zhu; Zihan Liu 002; Weikai Lin; Xiaohong Liu; Zhezhi He; Jingwen Leng; Minyi Guo; Yu Feng 007 (CoRR, 2025)

Astraea: A GPU-Oriented Token-wise Acceleration Framework for Video Diffusion Transformers. - Haosong Liu; Yuge Cheng; Zihan Liu 002; Aiyue Chen; Jing Lin; Yiwu Yao; Chen Chen 067; Jingwen Leng; Yu Feng 007; Minyi Guo (CoRR, 2025)

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy. - Yu Feng 007; Weikai Lin; Yuge Cheng; Zihan Liu 002; Jingwen Leng; Minyi Guo; Chen Chen 067; Shixuan Sun; Yuhao Zhu 001 (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)

SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity. - Xingyang Li; Jie Jiang; Yu Feng 007; Yiming Gan; Jieru Zhao; Zihan Liu 002; Jingwen Leng; Minyi Guo (CoRR, 2025)