SMQoS: Improving Utilization and Energy Efficiency with QoS Awareness on GPUs. - Qingxiao Sun; Yi Liu 013; Hailong Yang; Zhongzhi Luan; Depei Qian (CLUSTER, 2019)

Improving Thread-level Parallelism in GPUs Through Expanding Register File to Scratchpad Memory. - Chao Yu 001; Yuebin Bai; Qingxiao Sun; Hailong Yang (ACM Trans. Archit. Code Optim., 2019)

Accelerating De Novo Assembler WTDBG2 on Commodity Servers. - Ming Dun; Yunchun Li; Xin You; Qingxiao Sun; Zerong Luan; Hailong Yang (ICA3PP (1), 2020)

SpTFS: sparse tensor format selection for MTTKRP via deep learning. - Qingxiao Sun; Yi Liu 013; Ming Dun; Hailong Yang; Zhongzhi Luan; Lin Gan; Guangwen Yang; Depei Qian (SC, 2020)

The Deep Learning Compiler: A Comprehensive Survey. - Mingzhen Li 001; Yi Liu 013; Xiaoyan Liu; Qingxiao Sun; Xin You; Hailong Yang; Zhongzhi Luan; Depei Qian (CoRR, 2020)

csTuner: Scalable Auto-tuning Framework for Complex Stencil Computation on GPUs. - Qingxiao Sun; Yi Liu 013; Hailong Yang; Zhonghui Jiang; Xiaoyan Liu; Ming Dun; Zhongzhi Luan; Depei Qian (CLUSTER, 2021)

Automatic Code Generation and Optimization of Large-scale Stencil Computation on Many-core Processors. - Mingzhen Li 001; Yi Liu 013; Hailong Yang; Yongmin Hu; Qingxiao Sun; Bangduo Chen; Xin You; Xiaoyan Liu; Zhongzhi Luan; Depei Qian (ICPP, 2021)

An optimized tensor completion library for multiple GPUs. - Ming Dun; Yunchun Li; Hailong Yang; Qingxiao Sun; Zhongzhi Luan; Depei Qian (ICS, 2021)

Highly scalable parallel genetic algorithm on Sunway many-core processors. - Zhiyong Xiao; Xu Liu; Jingheng Xu; Qingxiao Sun; Lin Gan (Future Gener. Comput. Syst., 2021)

Towards efficient canonical polyadic decomposition on sunway many-core processor. - Ming Dun; Yunchun Li; Qingxiao Sun; Hailong Yang; Wei Li 125; Zhongzhi Luan; Lin Gan; Guangwen Yang; Depei Qian (Inf. Sci., 2021)

The Deep Learning Compiler: A Comprehensive Survey. - Mingzhen Li 001; Yi Liu 013; Xiaoyan Liu; Qingxiao Sun; Xin You; Hailong Yang; Zhongzhi Luan; Lin Gan; Guangwen Yang; Depei Qian (IEEE Trans. Parallel Distributed Syst., 2021)

Towards Optimized Streaming Tensor Completion on multiple GPUs. - Jiwei Hao; Hailong Yang; Qingxiao Sun; Huaitao Zhang; Zhongzhi Luan; Depei Qian (HPCC/DSS/SmartCity/DependSys, 2022)

StencilMART: Predicting Optimization Selection for Stencil Computations across GPUs. - Qingxiao Sun; Yi Liu 013; Hailong Yang; Zhonghui Jiang; Zhongzhi Luan; Depei Qian (IPDPS, 2022)

CoGNN: Efficient Scheduling for Concurrent GNN Training on GPUs. - Qingxiao Sun; Yi Liu 013; Hailong Yang; Ruizhe Zhang 012; Ming Dun; Mingzhen Li 001; Xiaoyan Liu; Wencong Xiao; Yong Li 020; Zhongzhi Luan; Depei Qian (SC, 2022)

Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU. - Jianjin Liao; Mingzhen Li 001; Qingxiao Sun; Jiwei Hao; Fengwei Yu; Shengdong Chen; Ye Tao; Zicheng Zhang; Hailong Yang; Zhongzhi Luan; Depei Qian (CoRR, 2022)

QoS-aware dynamic resource allocation with improved utilization and energy efficiency on GPU. - Qingxiao Sun; Liu Yi; Hailong Yang; Mingzhen Li 001; Zhongzhi Luan; Depei Qian (Parallel Comput., 2022)

Input-Aware Sparse Tensor Storage Format Selection for Optimizing MTTKRP. - Qingxiao Sun; Yi Liu 013; Hailong Yang; Ming Dun; Zhongzhi Luan; Lin Gan; Guangwen Yang; Depei Qian (IEEE Trans. Computers, 2022)

Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU. - Jianjin Liao; Mingzhen Li 001; Hailong Yang; Qingxiao Sun; Biao Sun; Jiwei Hao; Tianyu Feng; Fengwei Yu; Shengdong Chen; Ye Tao; Zicheng Zhang; Zhongzhi Luan; et al. (IPDPS, 2023)

GeST: Generalized Stencil Auto-tuning Framework on GPUs. - Qingxiao Sun (ACM TUR-C, 2024)

ScalFrag: Efficient Tiled-MTTKRP with Adaptive Launching on GPUs. - Wenqing Lin; Hemeng Wang; Haodong Deng; Qingxiao Sun (CLUSTER, 2024)

Adaptive Auto-Tuning Framework for Global Exploration of Stencil Optimization on GPUs. - Qingxiao Sun; Yi Liu 013; Hailong Yang; Zhonghui Jiang; Zhongzhi Luan; Depei Qian (IEEE Trans. Parallel Distributed Syst., 2024)

EVASION: Efficient KV CAche CompreSsion vIa PrOduct QuaNtization. - Zongwu Wang; Fangxin Liu; Peng Xu; Qingxiao Sun; Junping Zhao; Li Jiang 002 (DATE, 2025)

GNNPerf: Towards Effective Performance Profiling and Analysis Across GNN Frameworks. - Kejie Ma; Hailong Yang; Zizheng Zhang; Xin You; Zhibo Xuan; Qingxiao Sun; Zhongzhi Luan; Yi Liu; Depei Qian (IPDPS, 2025)

Convergence-aware operator-wise mixed-precision training. - Wenhao Dai; Ziyi Jia; Yuesi Bai; Qingxiao Sun (CCF Trans. High Perform. Comput., 2025)

MILLION: Mastering Long-Context LLM Inference Via Outlier-Immunized KV Product Quantization. - Zongwu Wang; Peng Xu; Fangxin Liu; Yiwei Hu; Qingxiao Sun; Gezi Li; Cheng Li; Xuan Wang; Li Jiang 002; Haibing Guan (CoRR, 2025)

Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU. - Wenhao Dai; Haodong Deng; Mengfei Rong; Xinyu Yang; Hongyu Liu; Fangxin Liu; Hailong Yang; Weifeng Liu; Qingxiao Sun (CoRR, 2025)