| -Norm Batch Normalization for Efficient Training of Deep Neural Networks S Wu, G Li, L Deng, L Liu, D Wu, Y Xie, L Shi IEEE transactions on neural networks and learning systems 30 (7), 2043-2051, 2018 | 216 | 2018 |
| Dota: detect and omit weak attentions for scalable transformer acceleration Z Qu, L Liu, F Tu, Z Chen, Y Ding, Y Xie Proceedings of the 27th ACM International Conference on Architectural …, 2022 | 144 | 2022 |
| Dynamic sparse attention for scalable transformer acceleration L Liu, Z Qu, Z Chen, F Tu, Y Ding, Y Xie IEEE Transactions on Computers 71 (12), 3165-3178, 2022 | 95* | 2022 |
| A 28nm 15.59 µJ/token full-digital bitline-transpose CIM-based sparse transformer accelerator with pipeline/parallel reconfigurable modes F Tu, Z Wu, Y Wang, L Liang, L Liu, Y Ding, L Liu, S Wei, Y Xie, S Yin 2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 466-468, 2022 | 77 | 2022 |
| Dynamic Sparse Graph for Efficient Deep Learning L Liu, L Deng, X Hu, M Zhu, G Li, Y Ding, Y Xie International Conference on Learning Representations (ICLR), 2019 | 72 | 2019 |
| TranCIM: Full-digital bitline-transpose CIM-based sparse transformer accelerator with pipeline/parallel reconfigurable modes F Tu, Z Wu, Y Wang, L Liang, L Liu, Y Ding, L Liu, S Wei, Y Xie, S Yin IEEE Journal of Solid-State Circuits 58 (6), 1798-1809, 2022 | 69 | 2022 |
| Efficient Tensor Core-Based GPU Kernels for Structured Sparsity under Reduced Precision Z Chen, Z Qu, L Liu, Y Ding, Y Xie SC'21 - International Conference for High Performance Computing, Networking …, 2021 | 60 | 2021 |
| Leveraging 3D technologies for hardware security: Opportunities and challenges P Gu, S Li, D Stow, R Barnes, L Liu, Y Xie, E Kursun Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 347-352, 2016 | 60 | 2016 |
| Nvsim-cam: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory S Li, L Liu, P Gu, C Xu, Y Xie Proceedings of the 35th International Conference on Computer-Aided Design, 1-7, 2016 | 47 | 2016 |
| Dynamic n: M fine-grained structured sparse attention mechanism Z Chen, Z Qu, Y Quan, L Liu, Y Ding, Y Xie Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023 | 41 | 2023 |
| DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture L Liu, Z Qu, L Deng, F Tu, S Li, X Hu, Z Gu, Y Ding, Y Xie 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020 | 35 | 2020 |
| INSPIRE: in-storage private information retrieval via protocol and architecture co-design J Lin, L Liang, Z Qu, I Ahmad, L Liu, F Tu, T Gupta, Y Ding, Y Xie Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 34 | 2022 |
| π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures L Liu, J Tang, S Liu, B Yu, Y Xie, JL Gaudiot Computer 54 (4), 14-25, 2021 | 31* | 2021 |
| Alcop: Automatic load-compute pipelining in deep learning compiler for ai-gpus G Huang, Y Bai, L Liu, Y Wang, B Yu, Y Ding, Y Xie Proceedings of Machine Learning and Systems 5, 680-694, 2023 | 30 | 2023 |
| Building energy-efficient multi-level cell STT-RAM caches with data compression L Liu, P Chi, S Li, Y Cheng, Y Xie 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 751-756, 2017 | 30 | 2017 |
| Cnnlab: a novel parallel framework for neural networks using gpu and fpga-a practical study with trade-off analysis M Zhu, L Liu, C Wang, Y Xie arXiv preprint arXiv:1606.06234, 2016 | 29 | 2016 |
| SemiMap: A semi-folded convolution mapping for speed-overhead balance on crossbars L Deng, L Liang, G Wang, L Chang, X Hu, X Ma, L Liu, J Pei, G Li, Y Xie IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 26 | 2018 |
| Ecssd: Hardware/data layout co-designed in-storage-computing architecture for extreme classification S Li, F Tu, L Liu, J Lin, Z Wang, Y Kang, Y Ding, Y Xie Proceedings of the 50th annual international symposium on computer …, 2023 | 18 | 2023 |
| ENMC: Extreme Near-Memory Classification via Approximate Screening L Liu, J Lin, Z Qu, Y Ding, Y Xie 54th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2021 | 18 | 2021 |
| Boosting Deep Neural Network Efficiency with Dual-Module Inference L Liu, L Deng, Z Chen, Y Wang, S Li, J Zhang, Y Yang, Z Gu, Y Ding, ... Thirty-seventh International Conference on Machine Learning (ICML), 2020 | 14 | 2020 |
Yuan XieChair Professor of Hong Kong University of Science and Technology (HKUST)Verified email at ust.hk
