A Low-Cost and Energy-Efficient NoC Architecture for GPGPUs. - Xianwei Cheng; Yang Zhao 013; Mohammadreza Robaei; Beilei Jiang; Hui Zhao 013; Juan Fang (ANCS, 2019)

AMOEBA: a coarse grained reconfigurable architecture for dynamic GPU scaling. - Xianwei Cheng; Hui Zhao 013; Mahmut T. Kandemir; Beilei Jiang; Gayatri Mehta (ICS, 2020)

Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing. - Xianwei Cheng; Hui Zhao 013; Mahmut T. Kandemir; Saraju P. Mohanty; Beilei Jiang (ISQED, 2020)

APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. - Beilei Jiang; Xianwei Cheng; Sihai Tang; Xu Ma 005; Zhaochen Gu; Hui Zhao 013; Song Fu (FPGA, 2021)

Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. - Zhaochen Gu; Sihai Tang; Beilei Jiang; Song Huang; Qiang Guan; Song Fu (IPDPS Workshops, 2021)

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. - Beilei Jiang; Xianwei Cheng; Sihai Tang; Xu Ma 005; Zhaochen Gu; Song Fu; Qing Yang 003; Mingxiong Liu (IPDPS, 2022)

Output-Directed Dynamic Quantization for DNN Acceleration. - Beilei Jiang; Xianwei Cheng; Yuan Li 054; Jocelyn Zhang; Song Fu; Qing Yang 003; Mingxiong Liu; Alejandro Olvera (ICPP, 2023)