Accelerate service live migration in resource-limited edge computing systems. - Zhe Zhou 002; Xintong Li; Guangyu Sun 003 (SEC, 2019)

Hardware-assisted Service Live Migration in Resource-limited Edge Computing Systems. - Zhe Zhou 002; Xintong Li; Xiaoyang Wang 006; Zheng Liang 003; Guangyu Sun 003; Guojie Luo (DAC, 2020)

SaFace: Towards Scenario-aware Face Recognition via Edge Computing System. - Zhe Zhou 002; Bingzhe Wu; Zheng Liang 003; Guangyu Sun 003; Chenren Xu; Guojie Luo (HotEdge, 2020)

Edge-Stream: a Stream Processing Approach for Distributed Applications on a Hierarchical Edge-computing System. - Xiaoyang Wang 006; Zhe Zhou 002; Ping Han; Tong Meng; Guangyu Sun 003; Jidong Zhai (SEC, 2020)

Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks. - Spencer Nelson; Sang Yun Kim 002; Jia Di; Zhe Zhou 002; Zhihang Yuan; Guangyu Sun 003 (ASYNC, 2021)

BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. - Zhe Zhou 002; Bizhao Shi; Zhe Zhang 006; Yijin Guan; Guangyu Sun 003; Guojie Luo (DAC, 2021)

Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations. - Spencer Nelson; Wassim Khalil; SangYun Kim 002; Jia Di; Zhe Zhou 002; Zhihang Yuan; Guang-Yu Sun 003 (HPEC, 2021)

METRO: A Software-Hardware Co-Design of Interconnections for Spatial DNN Accelerators. - Zhao Wang; Guangyu Sun 003; Jingchen Zhu; Zhe Zhou 002; Yijiang Guo; Zhihang Yuan (CoRR, 2021)

Energon: Towards Efficient Acceleration of Transformers Using Dynamic Sparse Attention. - Zhe Zhou 002; Junlin Liu; Zhenyu Gu; Guangyu Sun 003 (CoRR, 2021)

GCNear: A Hybrid Architecture for Efficient GCN Training with Near-Memory Processing. - Zhe Zhou 002; Cong Li; Xuechao Wei; Guangyu Sun 003 (CoRR, 2021)

GNNear: Accelerating Full-Batch Training of Graph Neural Networks with near-Memory Processing. - Zhe Zhou 002; Cong Li; Xuechao Wei; Xiaoyang Wang 006; Guangyu Sun 003 (PACT, 2022)

PetS: A Unified Framework for Parameter-Efficient Transformers Serving. - Zhe Zhou 002; Xuechao Wei; Jiejing Zhang; Guangyu Sun 003 (USENIX ATC, 2022)

Polaris: Enhancing CXL-based Memory Expanders with Memory-side Prefetching. - Zhe Zhou 002; Shuotao Xu; Yiqi Chen; Tao Zhang 032; Ran Shu 001; Lei Qu; Peng Cheng 005; Yongqiang Xiong; Guangyu Sun 003 (APPT, 2023)

NMExplorer: An Efficient Exploration Framework for DIMM-based Near-Memory Tensor Reduction. - Cong Li; Zhe Zhou 002; Xingchen Li; Guangyu Sun 003; Dimin Niu (DAC, 2023)

DIMM-Link: Enabling Efficient Inter-DIMM Communication for Near-Memory Processing. - Zhe Zhou 002; Cong Li; Fan Yang 093; Guangyu Sun 003 (HPCA, 2023)

Automated Design of Chiplets. - Alberto L. Sangiovanni-Vincentelli; Zheng Liang 003; Zhe Zhou 002; Jiaxi Zhang 001 (ISPD, 2023)

Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention. - Zhe Zhou 002; Junlin Liu; Zhenyu Gu; Guangyu Sun 003 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

FD-CNN: A Frequency-Domain FPGA Acceleration Scheme for CNN-Based Image-Processing Applications. - Xiaoyang Wang 006; Zhe Zhou 002; Zhihang Yuan; Jingchen Zhu; Yulong Cao; Yao Zhang; Kangrui Sun; Guangyu Sun 003 (ACM Trans. Embed. Comput. Syst., 2023)

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization. - Cong Li; Zhe Zhou 002; Yang Wang 053; Fan Yang 093; Ting Cao; Mao Yang 004; Yun Liang 001; Guangyu Sun 003 (ASPLOS (2), 2024)

SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration. - Cong Li; Zhe Zhou 002; Size Zheng 001; Jiaxi Zhang 001; Yun Liang 001; Guangyu Sun 003 (ASPLOS (3), 2024)

A Software-Hardware Co-design Solution for 3D Inner Structure Reconstruction. - Xingchen Li; Zhe Zhou 002; Qilin Zheng; Guangyu Sun 003; Qiankun Wang; Chenhao Xue (DAC, 2024)

NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering. - Zhe Zhou 002; Yiqi Chen; Tao Zhang 032; Yang Wang 053; Ran Shu 001; Shuotao Xu; Peng Cheng 005; Lei Qu; Yongqiang Xiong; Jie Zhang 048; Guangyu Sun 003 (MICRO, 2024)

LLM Inference Unveiled: Survey and Roofline Model Insights. - Zhihang Yuan; Yuzhang Shang; Yang Zhou; Zhen Dong 003; Zhe Zhou 002; Chenhao Xue; Bingzhe Wu; Zhikai Li; Qingyi Gu; Yong Jae Lee; Yan Yan 002; Beidi Chen; et al. (CoRR, 2024)

Toward CXL-Native Memory Tiering via Device-Side Profiling. - Zhe Zhou 002; Yiqi Chen; Tao Zhang 032; Yang Wang 053; Ran Shu 001; Shuotao Xu; Peng Cheng 005; Lei Qu; Yongqiang Xiong; Guangyu Sun 003 (CoRR, 2024)

FPGA-based Emulation and Device-Side Management for CXL-based Memory Tiering Systems. - Yiqi Chen; Xiping Dong; Zhe Zhou 002; Zhao Wang; Jie Zhang 048; Guangyu Sun 003 (CoRR, 2025)