| A unified FPGA virtualization framework for general-purpose deep neural networks in the cloud S Zeng, G Dai, H Sun, J Liu, S Li, G Ge, K Zhong, K Guo, Y Wang, H Yang ACM Transactions on Reconfigurable Technology and Systems (TRETS) 15 (3), 1-31, 2021 | 5 | 2021 |
| FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs S Zeng, J Liu, G Dai, X Yang, T Fu, H Wang, W Ma, H Sun, S Li, Z Huang, ... Proceedings of the 2024 ACM/SIGDA International Symposium on Field …, 2024 | 2 | 2024 |
| Evaluating Quantized Large Language Models S Li, X Ning, L Wang, T Liu, X Shi, S Yan, G Dai, H Yang, Y Wang arXiv preprint arXiv:2402.18158, 2024 | 2 | 2024 |
| LLM-MQ: Mixed-precision Quantization for Efficient LLM Deployment S Li, X Ning, K Hong, T Liu, L Wang, X Li, K Zhong, G Dai, H Yang, ... | 2 | |
| A Survey on Efficient Inference for Large Language Models Z Zhou, X Ning, K Hong, T Fu, J Xu, S Li, Y Lou, L Wang, Z Yuan, X Li, ... arXiv preprint arXiv:2404.14294, 2024 | 1 | 2024 |
| Towards High-accuracy and Real-time Two-stage Small Object Detection on FPGA S Li, Z Zhu, H Sun, X Ning, G Dai, Y Hu, H Yang, Y Wang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
| TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning S Li, X Ning, S Zhang, L Guo, T Zhao, H Yang, Y Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Enabling Fast 2-bit LLM on GPUs: Memory Alignment, Sparse Outlier, and Asynchronous Dequantization J Li, S Li, J Xu, S Huang, Y Lian, J Liu, Y Wang, G Dai arXiv preprint arXiv:2311.16442, 2023 | | 2023 |
| Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation S Li, Z Zhu, Y Zhu, Q Zhu, J Zhang, W Sun, G Dai, F Qiao, H Yang, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | | 2023 |
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerified email at mail.tsinghua.edu.cn
