| Medusa: Simple llm inference acceleration framework with multiple decoding heads T Cai, Y Li, Z Geng, H Peng, JD Lee, D Chen, T Dao ICML'24, 2024 | 227* | 2024 |
| Accelerating transformer-based deep learning models on fpgas using column balanced block pruning H Peng, S Huang, T Geng, A Li, W Jiang, H Liu, S Wang, C Ding 2021 22nd International Symposium on Quality Electronic Design (ISQED), 142-148, 2021 | 112 | 2021 |
| Space-charge accumulation and its impact on high-voltage power module partial discharge under DC and PWM waves: Testing and modeling Y Wang, Y Ding, Z Yuan, H Peng, J Wu, Y Yin, T Han, F Luo IEEE Transactions on Power Electronics 36 (10), 11097-11108, 2021 | 110 | 2021 |
| Design and evaluation of laminated busbar for three-level T-type NPC power electronics building block with enhanced dynamic current sharing Z Yuan, H Peng, A Deshpande, B Narayanasamy, AI Emon, F Luo, ... IEEE Journal of Emerging and Selected Topics in Power Electronics 8 (1), 395-406, 2019 | 91 | 2019 |
| Accelerating framework of transformer by hardware design and model compression co-optimization P Qi, EHM Sha, Q Zhuge, H Peng, S Huang, Z Kong, Y Song, B Li 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 62 | 2021 |
| A length adaptive algorithm-hardware co-design of transformer on fpga through sparse attention and dynamic pipelining H Peng, S Huang, S Chen, B Li, T Geng, A Li, W Jiang, W Wen, J Bi, H Liu, ... (Publicity paper) Proceedings of the 59th ACM/IEEE Design Automation …, 2022 | 61 | 2022 |
| Accommodating transformer onto fpga: Coupling the balanced model compression and fpga-implementation optimization P Qi, Y Song, H Peng, S Huang, Q Zhuge, EHM Sha Proceedings of the 2021 Great Lakes Symposium on VLSI, 163-168, 2021 | 56 | 2021 |
| MaxK-GNN: Extremely fast gpu kernel design for accelerating graph neural networks training H Peng, X Xie, K Shivdikar, MA Hasan, J Zhao, S Huang, O Khan, D Kaeli, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 52* | 2024 |
| Improved space vector modulation for neutral-point balancing control in hybrid-switch-based T-type neutral-point-clamped inverters with loss and common-mode voltage reduction H Peng, Z Yuan, X Zhao, B Narayanasamy, A Deshpande, AI Emon, ... CPSS Transactions on Power Electronics and Applications 4 (4), 328-338, 2019 | 47 | 2019 |
| Learning from teaching regularization: Generalizable correlations should be easy to imitate C Jin, T Che, H Peng, Y Li, DN Metaxas, M Pavone NeurIPS'24, 2024 | 46 | 2024 |
| Improving dnn fault tolerance using weight pruning and differential crossbar mapping for reram-based edge ai G Yuan, Z Liao, X Ma, Y Cai, Z Kong, X Shen, J Fu, Z Li, C Zhang, H Peng, ... 2021 22nd International Symposium on Quality Electronic Design (ISQED), 135-141, 2021 | 42 | 2021 |
| LinGCN: Structural linearized graph convolutional network for homomorphically encrypted inference H Peng, R Ran, Y Luo, J Zhao, S Huang, K Thorat, T Geng, C Wang, X Xu, ... NeurIPS'23, 2023 | 41 | 2023 |
| Design and evaluation of a 150 kva sic mosfet based three level tnpc phase-leg pebb for aircraft motor driving application Z Yuan, A Deshpande, B Narayanasamy, H Peng, AI Emon, R Whitt, ... 2019 IEEE Energy Conversion Congress and Exposition (ECCE), 6569-6574, 2019 | 41 | 2019 |
| AutoReP: Automatic relu replacement for fast private network inference H Peng, S Huang, T Zhou, Y Luo, C Wang, Z Wang, J Zhao, X Xie, A Li, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 39 | 2023 |
| Accel-GCN: High-performance gpu accelerator design for graph convolution networks X Xie*, H Peng*, A Hasan, S Huang, J Zhao, H Fang, W Zhang, T Geng, ... 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 01-09, 2023 | 38 | 2023 |
| Comprehensive analysis of three-phase three-level t-type neutral-point-clamped inverter with hybrid switch combination H Peng, Z Yuan, B Narayanasamy, X Zhao, A Deshpande, F Luo 2019 IEEE 10th International Symposium on Power Electronics for Distributed …, 2019 | 34 | 2019 |
| APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking C Jin*, H Peng*, S Zhao, Z Wang, W Xu, L Han, J Zhao, K Zhong, ... Companion Proceedings of the ACM on Web Conference 2025 (WWW-RelWeb 2025), 2025 | 32 | 2025 |
| Towards sparsification of graph neural networks H Peng, D Gurevin, S Huang, T Geng, W Jiang, O Khan, C Ding 2022 IEEE 40th International Conference on Computer Design (ICCD), 272-279, 2022 | 32 | 2022 |
| Modeling and analysis of a differential mode active EMI filter with an analog twin circuit B Narayanasamy, H Peng, Z Yuan, AI Emon, F Luo IEEE Transactions on Electromagnetic Compatibility 62 (4), 1591-1600, 2020 | 28 | 2020 |
| Binary complex neural network acceleration on fpga H Peng, S Zhou, S Weitze, J Li, S Islam, T Geng, A Li, W Zhang, M Song, ... 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 26 | 2021 |
Caiwen DingAssociate Professor, University of Minnesota - Twin CitiesVerified email at umn.edu
