| 2026 | HPCA | Scaling Graph Neural Network Training via Geometric Optimization. | Fangzhou Ye, Lingxiang Yin, Hao Zheng |
| 2025 | MICRO | Rethinking Tiling and Dataflow for SpMM Acceleration: A Graph Transformation Framework. | Amir Ghazizadeh Ahsaei, Lingxiang Yin, Shilin Tian, Fangzhou Ye, Fan Yao, Hao Zheng |
| 2024 | DAC | 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 |
| 2024 | ICCAD | 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 |
| 2024 | MICRO | SCALE: A Structure-Centric Accelerator for Message Passing Graph Neural Networks. | Lingxiang Yin, Sanjay Gandham, Mingjie Lin, Hao Zheng |
| 2023 | FCCM | OCMGen: Extended Design Space Exploration with Efficient FPGA Memory Inference. | Sanjay Gandham, Lingxiang Yin, Hao Zheng, Mingjie Lin |
| 2023 | ICCAD | SAGA: Sparsity-Agnostic Graph Convolutional Network Acceleration with Near-Optimal Workload Balance. | Sanjay Gandham, Lingxiang Yin, Hao Zheng, Mingjie Lin |
| 2023 | ICCAD | ARIES: Accelerating Distributed Training in Chiplet-Based Systems via Flexible Interconnects. | Lingxiang Yin, Amir Ghazizadeh, Ahmed Louri, Hao Zheng |
| 2023 | ICCD | Polyform: A Versatile Architecture for Multi-DNN Execution via Spatial and Temporal Acceleration. | Lingxiang Yin, Amir Ghazizadeh, Shilin Tian, Ahmed Louri, Hao Zheng |