Yingjie Qi

Orcid: 0009-0009-2785-4480

According to our database1, Yingjie Qi authored at least 23 papers between 2008 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ACE-GNN: Adaptive GNN Co-Inference With System-Aware Scheduling in Dynamic Edge Environments.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2026

Efficient SRAM-PIM Co-Design by Joint Exploration of Value-Level and Bit-Level Sparsity.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2026

GCoDE: Efficient Device-Edge Co-Inference for GNNs via Architecture-Mapping Co-Search.
IEEE Trans. Computers, January, 2026

CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-Based CIM Architectures.
IEEE Trans. Computers, January, 2026

MIREDO: MIP-Driven Resource-Efficient Dataflow Optimization for Computing-in-Memory Accelerator.
Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025
MIREDO: MIP-Driven Resource-Efficient Dataflow Optimization for Computing-in-Memory Accelerator.
CoRR, October, 2025

HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference.
CoRR, September, 2025

Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms.
Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

CIMFlow: An Integrated Framework for Systematic Design and Evaluation of Digital CIM Architectures.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024
HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices.
IEEE Trans. Computers, December, 2024

DDC-PIM: Efficient Algorithm/Architecture Co-Design for Doubling Data Capacity of SRAM-Based Processing-in-Memory.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

Architectural Implications of GNN Aggregation Programming Abstractions.
IEEE Comput. Archit. Lett., 2024

Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Towards Efficient SRAM-PIM Architecture Design by Exploiting Unstructured Bit-Level Sparsity.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Eventor: an efficient event-based monocular multi-view stereo accelerator on FPGA platform.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Rapid analysis and detection algorithm and prevention countermeasures of urban traffic accidents under artificial intelligence.
Int. J. Grid Util. Comput., 2021

Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.
CoRR, 2021

Brief Industry Paper: optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

2020
Accelerating CNN Training by Pruning Activation Gradients.
Proceedings of the Computer Vision - ECCV 2020, 2020

TCIM: Triangle Counting Acceleration With Processing-In-MRAM Architecture.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2008
Utility-based adaptive multi-frame iterative algorithm for resource scheduling in OFDMA networks.
Proceedings of the 2008 International Conference on Telecommunications, 2008


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