Publications

[DATE 2024] Mingzhe Gao, Jieru Zhao*, Zhe Lin*, Minyi Guo. “Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs.” In Proc. of Design, Automation and Test in Europe Conference (DATE), 2024. (*Corresponding author)

[FPGA 2024] Chunyou Su, Linfeng Du, Tingyuan Liang, Zhe Lin, Maolin Wang, Sharad Sinha, Wei Zhang. “GraFlex: Flexible Graph Processing on FPGAs through Customized Scalable Interconnection Network.” In Prof. of ACM/SIGDA 32nd International Symposium on Field-Programmable Gate Arrays (FPGA), 2024.

[EuroSys 2024] Yijia Zhang, Qiang Wang, Zhe Lin, Pengxiang Xu, Bingqiang Wang. “Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance.” In Proc. of The 19th European Conference on Computer Systems (EuroSys), 2024.

[DAC 2023] Guan Shen, Jieru Zhao, Zeke Wang, Zhe Lin, Wenchao Ding, Chentao Wu, Quan Chen and Minyi Guo. “MARS: Exploiting Multi-Level Parallelism for DNN Workloads on Adaptive Multi-Accelerator Systems.” In Proc. of ACM/IEEE 60th Design Automation Conference (DAC), 2023.

[TCAD 2023] Zhe Lin, Tingyuan Liang, Jieru Zhao, Sharad Sinha and Wei Zhang. “HL-Pow: Learning-Assisted Pre-RTL Power Modeling and Optimization for FPGA HLS.” In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023.

[TCAD 2021] Zhe Lin, Sharad Sinha and Wei Zhang. “Hard-ODT: Hardware-Friendly Online Decision Tree Learning Algorithm and System.” In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 40, no. 11, pp. 2279-2292, 2021.

[TCAD 2019] Zhe Lin, Sharad Sinha and Wei Zhang. “An Ensemble Learning Approach for In-Situ Monitoring of FPGA Dynamic Power.” In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 38, no. 9, pp. 1661-1674, 2019.

[TMSCS 2018] Zhe Lin, Sharad Sinha, Hao Liang, Liang Feng and Wei Zhang. “Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors.” In IEEE Transactions on Multi-Scale Computing Systems (TMSCS), vol. 4, no. 2, pp. 152-162, 2018.

[DATE 2022] Zhe Lin, Zike Yuan, Jieru Zhao, Wei Zhang, Hui Wang and Yonghong Tian. “PowerGear: Early-stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs.” In Proc. of IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1341-1346, 2022. Best Paper Award Nomination

[FCCM 2019] Zhe Lin, Sharad Sinha and Wei Zhang. “Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA.” In Proc. of IEEE Field-Programmable Custom Computing Machines (FCCM), pp. 172-180, 2019. Best Paper Award Nomination

[ASPDAC 2020] Zhe Lin, Jieru Zhao, Sharad Sinha and Wei Zhang. “HL-Pow: A Learning-Based Power Modeling Framework for High-Level Synthesis.” In Proc. of IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 574-580, 2020.

[FPL 2017] Zhe Lin, Wei Zhang and Sharad Sinha. “Decision Tree Based Hardware Power Monitoring for Run Time Dynamic Power Management in FPGA.” In Proc. of IEEE International Conference on Field Programmable Logic and Applications (FPL), pp. 1-8, 2017.

[KDD 2021] Xunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin and Hui Wang. “Pre-training on Large-Scale Heterogeneous Graph.” In Proc. of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2021.