Shaoyi Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
13
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing. | Daniel Stein, Shaoyi Huang, Rolf Drechsler, Bing Li, Grace Li Zhang |
| 2026 | GECCO | LLM-NAS: LLM-driven Hardware-Aware Neural Architecture Search. | Hengyi Zhu, Grace Li Zhang, Shaoyi Huang |
| 2025 | ECAI | Efficient Context Propagating Perceiver Architectures for Auto-Regressive Language Modeling. | Kaleel Mahmood, Shaoyi Huang |
| 2025 | ICCAD | GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis. | Kiran Thorat, Hongwu Peng, Yuebo Luo, Xi Xie, Shaoyi Huang, Amit Hasan, Jiahui Zhao, Yingjie Li, Zhijie Shi, Cunxi Yu, Caiwen Ding |
| 2025 | ICS | DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs. | Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang |
| 2024 | ASPLOS | MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. | Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding |
| 2024 | HPCA | PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration. | Deniz Gurevin, Mohsin Shan, Shaoyi Huang, Md Amit Hasan, Caiwen Ding, Omer Khan |
| 2023 | DAC | Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. | Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding |
| 2023 | DAC | Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. | Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding |
| 2023 | ICCAD | Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. | Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding |
| 2023 | ICCV | AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. | Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding |
| 2023 | IJCAI | Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. | Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding |
| 2022 | ACL | Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. | Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding |
| 2022 | DAC | A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. | Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding |
| 2022 | ICCD | CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. | Yixuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng |
| 2022 | ICCD | Towards Sparsification of Graph Neural Networks. | Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding |
| 2021 | ICCAD | Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization. | Panjie Qi, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Hongwu Peng, Shaoyi Huang, Zhenglun Kong, Yuhong Song, Bingbing Li |
| 2021 | SC | E.T.: re-thinking self-attention for transformer models on GPUs. | Shiyang Chen, Shaoyi Huang, Santosh Pandey, Bingbing Li, Guang R. Gao, Long Zheng, Caiwen Ding, Hang Liu |