Lingxiang Yin

According to our database, Lingxiang Yin authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Scaling Graph Neural Network Training via Geometric Optimization.

Fangzhou Ye, Lingxiang Yin, Hao Zheng

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025

Rethinking Tiling and Dataflow for SpMM Acceleration: A Graph Transformation Framework.

Amir Ghazizadeh Ahsaei, Lingxiang Yin, Shilin Tian, Fangzhou Ye, Fan Yao, Hao Zheng

Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

2024

SCALE: A Structure-Centric Accelerator for Message Passing Graph Neural Networks.

Lingxiang Yin, Sanjay Gandham, Mingjie Lin, Hao Zheng

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

CircuitSeer: RTL Post-PnR Delay Prediction via Coupling Functional and Structural Representation.

Sanjay Gandham, Joe Walston, Sourav Samanta, Lingxiang Yin, Hao Zheng, Mingjie Lin, Stelios Diamantidis

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

EGMA: Enhancing Data Reuse and Workload Balancing in Message Passing GNN Acceleration via Gram Matrix Optimization.

Fangzhou Ye, Lingxiang Yin, Amir Ghazizadeh Ahsaei, Hao Zheng

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Polyform: A Versatile Architecture for Multi-DNN Execution via Spatial and Temporal Acceleration.

Lingxiang Yin, Amir Ghazizadeh, Shilin Tian, Ahmed Louri, Hao Zheng

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

ARIES: Accelerating Distributed Training in Chiplet-Based Systems via Flexible Interconnects.

Lingxiang Yin, Amir Ghazizadeh, Ahmed Louri, Hao Zheng

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

SAGA: Sparsity-Agnostic Graph Convolutional Network Acceleration with Near-Optimal Workload Balance.

Sanjay Gandham, Lingxiang Yin, Hao Zheng, Mingjie Lin

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Exploring Architecture, Dataflow, and Sparsity for GCN Accelerators: A Holistic Framework.

Lingxiang Yin, Jun Wang, Hao Zheng

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

OCMGen: Extended Design Space Exploration with Efficient FPGA Memory Inference.

Sanjay Gandham, Lingxiang Yin, Hao Zheng, Mingjie Lin

Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023