Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning. - Zhuo Liu; Yunan Yang; Zhenyu Pan; Anshujit Sharma; Amit Hasan 001; Caiwen Ding; Ang Li 006; Michael C. Huang 001; Tong Geng (DAC, 2023)

Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. - Xi Xie; Hongwu Peng; Amit Hasan 001; Shaoyi Huang; Jiahui Zhao; Haowen Fang; Wei Zhang; Tong Geng; Omer Khan; Caiwen Ding (ICCAD, 2023)

MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training. - Hongwu Peng; Xi Xie; Kaustubh Shivdikar; Md Amit Hasan 001; Jiahui Zhao; Shaoyi Huang; Omer Khan; David R. Kaeli; Caiwen Ding (CoRR, 2023)

MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. - Hongwu Peng; Xi Xie; Kaustubh Shivdikar; Md Amit Hasan 001; Jiahui Zhao; Shaoyi Huang; Omer Khan; David R. Kaeli; Caiwen Ding (ASPLOS (2), 2024)

PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration. - Deniz Gurevin; Mohsin Shan; Shaoyi Huang; Md Amit Hasan 001; Caiwen Ding; Omer Khan (HPCA, 2024)

ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". - Hongwu Peng; Xi Xie; Kaustubh Shivdikar; Amit Hasan 001; Jiahui Zhao; Shaoyi Huang; Omer Khan; David R. Kaeli; Caiwen Ding (Zenodo, 2024)

ASPLOS 2024 Artifact for "MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training". - Hongwu Peng; Xi Xie; Kaustubh Shivdikar; Amit Hasan 001; Jiahui Zhao; Shaoyi Huang; Omer Khan; David R. Kaeli; Caiwen Ding (Zenodo, 2024)

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs. - Kiran Thorat; Amit Hasan 001; Caiwen Ding; Zhijie Shi (CoRR, 2025)