| -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 | 129 | 2018 |
| 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 | 43 | 2016 |
| 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 | 40 | 2019 |
| Nvsim-cam: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory S Li, L Liu, P Gu, C Xu, Y Xie 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2016 | 28 | 2016 |
| 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 | 25 | 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 | 22 | 2016 |
| 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 | 19 | 2020 |
| 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 | 17* | 2021 |
| 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 | 16 | 2018 |
| Computation on sparse neural networks and its implications for future hardware F Sun, M Qin, T Zhang, L Liu, YK Chen, Y Xie 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 12* | 2020 |
| 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 | 10 | 2021 |
| Fast object tracking on a many-core neural network chip L Deng, Z Zou, X Ma, L Liang, G Wang, X Hu, L Liu, J Pei, G Li, Y Xie Frontiers in neuroscience 12, 841, 2018 | 9 | 2018 |
| 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 | 8 | 2020 |
| 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 | 7 | 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 | 6 | 2022 |
| 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 | 4 | 2022 |
| Transformer acceleration with dynamic sparse attention L Liu, Z Qu, Z Chen, Y Ding, Y Xie arXiv preprint arXiv:2110.11299, 2021 | 2 | 2021 |
| 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 | 2 | 2021 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
Yuan XieProfessor of University of California at Santa BarbaraVerified email at ece.ucsb.edu
