Jieming Yin

Jiangsu Distinguished Professor

School of Computer Science
Nanjing University of Posts and Telecommunications

E-mail: jieming [dot] yin [at-sign] njupt [dot] edu [dot] cn

Curriculum Vitae (last update Oct. 2022)
Google Scholar Profile


Jieming Yin is a Professor with the School of Computer Science, Nanjing University of Posts and Telecommunications, China. He obtained his PhD degree from University of Minnesota, Twin Cities in 2015. Dr. Yin was a faculty member at Lehigh University, and a researcher at AMD. His research interests lie in computer architecture, with emphasis on SoC system integration, network on chips, and machine learning aided computer system design. Dr. Yin received the Jiangsu Distinguished Professor Award in 2022. His work has been recognized with NOCS 2020 Best Paper Award, and DAC 2021 Best Paper Award Nomination. His research on modular-routing design for chiplet-based systems was featured in IEEE Spectrum. Dr. Yin has published papers in top-tier conference venues including ISCA, HPCA, MICRO, and DAC, and holds over 10 U.S. patents and patent applications.

Research interests

  • Heterogeneous architectures
  • SoC system integration
  • Network-on-chips
  • Die-stacking
  • Machine learning aided computer system design


    Oct. 2022: Paper "Trans-FW: Short Circuiting Page Table Walk in Multi-GPU Systems via Remote Forwarding" accepted in HPCA'23

    Oct. 2022: Paper "NeuroPots: Realtime Proactive Defense against Bit-Flip Attacks in Neural Networks" accepted in USENIX Security'23

    Sep. 2022: Paper "CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference" accepted in NeurIPS'22

    Aug. 2022: Paper "Design Challenges of Intra- and Inter- Chiplet Interconnection" accepted in NOCS'22

    Sep. 2021: Paper "Improving Address Translation in Multi-GPUs via Sharing and Spilling aware TLB Design" accepted in MICRO'21

    Mar. 2021: Paper "TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation" accepted in ISCA'21

    Feb. 2021: Paper "Distilling Arbitration Logic from Traces using Machine Learning: A Case Study on NoC" accepted in DAC'21

    Nov. 2020: Paper "Designing a Cost-Effective Cache Replacement Policy using Machine Learning" accepted in HPCA'21

    Sep. 2020: NOCS paper "In-Network Memory Access Ordering for Heterogeneous Multicore Systems" receives Best Paper Award

    Aug. 2020: Paper "In-Network Memory Access Ordering for Heterogeneous Multicore Systems" accepted in NOCS'20