| Auto-vit-acc: An fpga-aware automatic acceleration framework for vision transformer with mixed-scheme quantization Z Li, M Sun, A Lu, H Ma, G Yuan, Y Xie, H Tang, Y Li, M Leeser, Z Wang, ... 2022 32nd International Conference on Field-Programmable Logic and …, 2022 | 63 | 2022 |
| Heatvit: Hardware-efficient adaptive token pruning for vision transformers P Dong, M Sun, A Lu, Y Xie, K Liu, Z Kong, X Meng, Z Li, X Lin, Z Fang, ... 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 42 | 2023 |
| Mixed-cell-height placement with complex minimum-implant-area constraints J Chen, Z Lin, Y Xie, W Zhu, YW Chang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 24 | 2021 |
| Peeling the onion: Hierarchical reduction of data redundancy for efficient vision transformer training Z Kong, H Ma, G Yuan, M Sun, Y Xie, P Dong, X Meng, X Shen, H Tang, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8360-8368, 2023 | 21 | 2023 |
| Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, et al. Heatvit: Hardware-efficient adaptive token pruning for vision transformers P Dong, M Sun, A Lu, Y Xie, K Liu 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 12 | 2022 |
| TAAS: A timing-aware analytical strategy for AQFP-capable placement automation P Dong, Y Xie, H Li, M Sun, O Chen, N Yoshikawa, Y Wang Proceedings of the 59th ACM/IEEE Design Automation Conference, 1321-1326, 2022 | 8 | 2022 |
| FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: Late breaking results M Sun, Z Li, A Lu, H Ma, G Yuan, Y Xie, H Tang, Y Li, M Leeser, Z Wang, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1394-1395, 2022 | 6 | 2022 |
| Timing-driven placement for FPGAs with heterogeneous architectures and clock constraints Z Lin, Y Xie, G Qian, J Chen, S Wang, J Yu, YW Chang 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 6 | 2021 |
| Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers Z Li, A Lu, Y Xie, Z Kong, M Sun, H Tang, ZJ Xue, P Dong, C Ding, ... Proceedings of the 38th ACM International Conference on Supercomputing, 324-337, 2024 | 5 | 2024 |
| An incremental placement flow for advanced FPGAs with timing awareness Z Lin, Y Xie, P Zou, S Wang, J Yu, J Chen IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 5 | 2021 |
| You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding G Yuan, SE Chang, Q Jin, A Lu, Y Li, Y Wu, Z Kong, Y Xie, P Dong, M Qin, ... European Conference on Computer Vision, 34-51, 2022 | 4 | 2022 |
| Late breaking results: An analytical timing-driven placer for heterogeneous FPGAs Z Lin, Y Xie, G Qian, S Wang, J Yu, J Chen 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-2, 2020 | 4 | 2020 |
| Machine Learning Across Network-Connected FPGAs D Diaconu, Y Xie, M Gungor, S Handagala, X Lin, M Leeser 2023 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2023 | 3 | 2023 |
| Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration Z Li, Y Xie, P Dong, O Chen, Y Wang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-4, 2023 | 3 | 2023 |
| ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training SE Chang, G Yuan, A Lu, M Sun, Y Li, X Ma, Z Li, Y Xie, M Qin, X Lin, ... 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 3 | 2023 |
| HotaQ: Hardware Oriented Token Adaptive Quantization for Large Language Models X Shen, Z Han, L Lu, Z Kong, P Dong, Z Li, Y Xie, C Wu, M Leeser, P Zhao, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | 2 | 2024 |
| MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router Y Xie, Z Zhang, D Zhou, C Xie, Z Song, X Liu, Y Wang, X Lin, A Xu arXiv preprint arXiv:2410.12013, 2024 | 2 | 2024 |
| Superbnn: Randomized binary neural network using adiabatic superconductor josephson devices Z Li, G Yuan, T Yamauchi, Z Masoud, Y Xie, P Dong, X Tang, ... Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 2 | 2023 |
| Late Breaking Results: FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization M Sun, Z Li, A Lu, H Ma, G Yuan, Y Xie, H Tang, Y Li, M Leeser, Z Wang, ... Proceedings of the 59th Design Automation Conference (DAC), 2022 | 2 | 2022 |
| An analytical timing-driven placer for heterogeneous fpgas: late breaking results Z Lin, Y Xie, G Qian, S Wang, J Yu, J Chen Proceedings of the 57th ACM/EDAC/IEEE Design Automation Conference, 1-2, 2020 | 2 | 2020 |
Xue LinNortheastern University確認したメール アドレス: northeastern.edu