| Resistive memory‐based in‐memory computing: from device and large‐scale integration system perspectives B Yan, B Li, X Qiao, CX Xue, MF Chang, Y Chen, H Li Advanced Intelligent Systems 1 (7), 1900068, 2019 | 69 | 2019 |
| An overview of in-memory processing with emerging non-volatile memory for data-intensive applications B Li, B Yan, H Li Proceedings of the 2019 on Great Lakes Symposium on VLSI, 381-386, 2019 | 43 | 2019 |
| ReRAM-based accelerator for deep learning B Li, L Song, F Chen, X Qian, Y Chen, HH Li 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 815-820, 2018 | 41 | 2018 |
| Partial-SET: Write Speedup for PCM Main Memory XL Bing Li, Shuchang Shan, Yu Hu | 31* | 2014 |
| RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM accelerator S Qu, B Li, Y Wang, D Xu, X Zhao, L Zhang 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 24 | 2020 |
| 3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks B Li*, JR Doppa, PP Pande, K Chakrabarty, JX Qiu, H Li ACM Journal on Emerging Technologies in Computing Systems 16 (2), 1-24, 2020 | 24 | 2020 |
| REGENT: A heterogeneous ReRAM/GPU-based architecture enabled by NoC for training CNNs BK Joardar, B Li, JR Doppa, H Li, PP Pande, K Chakrabarty 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 522-527, 2019 | 22 | 2019 |
| Build reliable and efficient neuromorphic design with memristor technology B Li, B Yan, C Liu, H Li Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019 | 22 | 2019 |
| Red: A reram-based deconvolution accelerator Z Fan, L Ziru, B Li, Y Chen, HH Li 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019 | 20 | 2019 |
| Running sparse and low-precision neural network: When algorithm meets hardware B Li, W Wen, J Mao, S Li, Y Chen, H Li 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 534-539, 2018 | 20 | 2018 |
| HitM: High-throughput ReRAM-based PIM for multi-modal neural networks B Li, Y Wang, Y Chen Proceedings of the 39th International Conference on Computer-Aided Design, 1-7, 2020 | 16 | 2020 |
| PUFPass: A password management mechanism based on software/hardware codesign Q Guo, J Ye, B Li, Y Hu, X Li, Y Lan, G Zhang Integration 64, 173-183, 2019 | 11 | 2019 |
| NAND-SPIN-based processing-in-MRAM architecture for convolutional neural network acceleration Y Zhao, J Yang, B Li, X Cheng, X Ye, X Wang, X Jia, Z Wang, Y Zhang, ... Science China Information Sciences 66 (4), 142401, 2023 | 10 | 2023 |
| Mom: Microphone based 3d orientation measurement Z Gao, A Li, D Li, J Liu, J Xiong, Y Wang, B Li, Y Chen 2022 21st ACM/IEEE International Conference on Information Processing in …, 2022 | 10 | 2022 |
| ASBP: Automatic structured bit-pruning for RRAM-based NN accelerator S Qu, B Li, Y Wang, L Zhang 2021 58th ACM/IEEE Design Automation Conference (DAC), 745-750, 2021 | 10 | 2021 |
| An automated quantization framework for high-utilization rram-based pim B Li, S Qu, Y Wang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 9 | 2021 |
| RED: A ReRAM-based efficient accelerator for deconvolutional computation Z Li, B Li, Z Fan, H Li IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 9 | 2020 |
| A many-core accelerator design for on-chip deep reinforcement learning Y Wang, M Wang, B Li, H Li, X Li Proceedings of the 39th International Conference on Computer-Aided Design, 1-7, 2020 | 8 | 2020 |
| Memory access method and apparatus for message-type memory module X Gao, B Li, SC Shan, Y Hu US Patent 9,811,416, 2017 | 6 | 2017 |
| Exploration of automatic mixed-precision search for deep neural networks X Guo, Y Huang, H Cheng, B Li, W Wen, S Ma, H Li, Y Chen 2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019 | 5 | 2019 |
Hai LiClare Boothe Luce Professor of Electrical and Computer EngineeringDirección de correo verificada de duke.edu
