High-Quality 3-D InISAR Imaging of Maneuvering Target Based on a Combined Processing Approach. - Yabo Liu; Mingcong Song; Kun Wu; Robert Wang 001; Yunkai Deng (IEEE Geosci. Remote. Sens. Lett., 2013)

Towards sustainable in-situ server systems in the big data era. - Chao Li 009; Yang Hu 001; Longjun Liu; Juncheng Gu; Mingcong Song; Xiaoyao Liang; Jingling Yuan; Tao Li 006 (ISCA, 2015)

Bridging the Semantic Gaps of GPU Acceleration for Scale-out CNN-based Big Data Processing: Think Big, See Small. - Mingcong Song; Yang Hu 001; Yunlong Xu; Chao Li 009; Huixiang Chen 001; Jingling Yuan; Tao Li 006 (PACT, 2016)

Scheduling Tasks with Mixed Timing Constraints in GPU-Powered Real-Time Systems. - Yunlong Xu; Rui Wang 014; Tao Li 006; Mingcong Song; Lan Gao; Zhongzhi Luan; Depei Qian (ICS, 2016)

Towards "Full Containerization" in Containerized Network Function Virtualization. - Yang Hu 001; Mingcong Song; Tao Li 006 (ASPLOS, 2017)

Towards Pervasive and User Satisfactory CNN across GPU Microarchitectures. - Mingcong Song; Yang Hu 001; Huixiang Chen 001; Tao Li 006 (HPCA, 2017)

GaaS workload characterization under NUMA architecture for virtualized GPU. - Huixiang Chen 001; Meng Wang; Yang Hu 001; Mingcong Song; Tao Li 006 (ISPASS, 2017)

Exploiting Dynamic Thermal Energy Harvesting for Reusing in Smartphone with Mobile Applications. - Yuting Dai; Tao Li 006; Benyong Liu; Mingcong Song; Huixiang Chen 001 (ASPLOS, 2018)

Towards Efficient Microarchitectural Design for Accelerating Unsupervised GAN-Based Deep Learning. - Mingcong Song; Jiaqi Zhang 002; Huixiang Chen 001; Tao Li 006 (HPCA, 2018)

In-Situ AI: Towards Autonomous and Incremental Deep Learning for IoT Systems. - Mingcong Song; Kan Zhong; Jiaqi Zhang 002; Yang Hu 001; Duo Liu; Weigong Zhang; Jing Wang 055; Tao Li 006 (HPCA, 2018)

Prediction Based Execution on Deep Neural Networks. - Mingcong Song; Jiechen Zhao 003; Yang Hu 001; Jiaqi Zhang 002; Tao Li 006 (ISCA, 2018)

LerGAN: A Zero-Free, Low Data Movement and PIM-Based GAN Architecture. - Haiyu Mao; Mingcong Song; Tao Li 006; Yuting Dai; Jiwu Shu (MICRO, 2018)

Eager pruning: algorithm and architecture support for fast training of deep neural networks. - Jiaqi Zhang 002; Xiangru Chen; Mingcong Song; Tao Li 006 (ISCA, 2019)

CoExe: An Efficient Co-execution Architecture for Real-Time Neural Network Services. - Chubo Liu; Kenli Li 001; Mingcong Song; Jiechen Zhao 003; Keqin Li 001; Tao Li 006; Zihao Zeng (DAC, 2020)

Democratic learning: hardware/software co-design for lightweight blockchain-secured on-device machine learning. - Rui Zhang; Mingcong Song; Tao Li 006; Zhibin Yu 001; Yuting Dai; Xiaoguang Liu 001; Gang Wang 001 (J. Syst. Archit., 2021)

LrGAN: A Compact and Energy Efficient PIM-Based Architecture for GAN Training. - Haiyu Mao; Jiwu Shu; Mingcong Song; Tao Li 006 (IEEE Trans. Computers, 2021)

Tackling the Dynamicity in a Production LLM Serving System with SOTA Optimizations via Hybrid Prefill/Decode/Verify Scheduling on Efficient Meta-kernels. - Mingcong Song; Xinru Tang; Fengfan Hou; Jing Li; Wei Wei; Yipeng Ma; Runqiu Xiao; Hongjie Si; Dingcheng Jiang; Shouyi Yin; Yang Hu 001; Guoping Long (CoRR, 2024)