| Going deeper with embedded fpga platform for convolutional neural network J Qiu, J Wang, S Yao, K Guo, B Li, E Zhou, J Yu, T Tang, N Xu, S Song, ... Proceedings of the 2016 ACM/SIGDA International Symposium on Field …, 2016 | 1415 | 2016 |
| A Survey of Accelerator Architectures for Deep Neural Networks Y Chen, Y Xie, L Song, F Chen, T Tang Engineering, 2020 | 279 | 2020 |
| Technological exploration of rram crossbar array for matrix-vector multiplication P Gu, B Li, T Tang, S Yu, Y Cao, Y Wang, H Yang The 20th Asia and South Pacific Design Automation Conference, 106-111, 2015 | 237 | 2015 |
| Binary convolutional neural network on RRAM T Tang, L Xia, B Li, Y Wang, H Yang Design Automation Conference (ASP-DAC), 2017 22nd Asia and South Pacific …, 2017 | 208 | 2017 |
| MNSIM: Simulation platform for memristor-based neuromorphic computing system L Xia, B Li, T Tang, P Gu, PY Chen, S Yu, Y Cao, Y Wang, Y Xie, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 197 | 2018 |
| Stuck-at Fault Tolerance in RRAM Computing Systems L Xia, W Huangfu, T Tang, X Yin, K Chakrabarty, Y Xie, Y Wang, H Yang IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …, 2018 | 133 | 2018 |
| Switched by input: Power efficient structure for RRAM-based convolutional neural network L Xia, T Tang, W Huangfu, M Cheng, X Yin, B Li, Y Wang, H Yang Design Automation Conference (DAC), 2016 53nd ACM/EDAC/IEEE, 1-6, 2016 | 118 | 2016 |
| A 462GOPs/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory F Su, WH Chen, L Xia, CP Lo, T Tang, Z Wang, KH Hsu, M Cheng, JY Li, ... VLSI Circuits, 2017 Symposium on, C260-C261, 2017 | 102 | 2017 |
| Towards Real-Time Object Detection on Embedded Systems H Mao, S Yao, T Tang, B Li, J Yao, Y Wang IEEE Transactions on Emerging Topics in Computing, 2016 | 98 | 2016 |
| Low power Convolutional Neural Networks on a chip Y Wang, L Xia, T Tang, B Li, S Yao, M Cheng, H Yang Circuits and Systems (ISCAS), 2016 IEEE International Symposium on, 129-132, 2016 | 66 | 2016 |
| Low Bit-width Convolutional Neural Network on RRAM Y Cai, T Tang, L Xia, B Li, Y Wang, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019 | 52 | 2019 |
| Computation-oriented fault-tolerance schemes for RRAM computing systems W Huangfu, L Xia, M Cheng, X Yin, T Tang, B Li, K Chakrabarty, Y Xie, ... Design Automation Conference (ASP-DAC), 2017 22nd Asia and South Pacific …, 2017 | 51 | 2017 |
| Spiking neural network with rram: Can we use it for real-world application? T Tang, L Xia, B Li, R Luo, Y Chen, Y Wang, H Yang Proceedings of the 2015 Design, Automation & Test in Europe Conference …, 2015 | 50 | 2015 |
| Energy efficient RRAM spiking neural network for real time classification Y Wang, T Tang, L Xia, B Li, P Gu, H Yang, H Li, Y Xie Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 189-194, 2015 | 48 | 2015 |
| Real-time object detection towards high power efficiency J Yu, K Guo, Y Hu, X Ning, J Qiu, H Mao, S Yao, T Tang, B Li, Y Wang, ... Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018 …, 2018 | 29 | 2018 |
| Training low bitwidth convolutional neural network on RRAM Y Cai, T Tang, L Xia, M Cheng, Z Zhu, Y Wang, H Yang Proceedings of the 23rd Asia and South Pacific Design Automation Conference …, 2018 | 29 | 2018 |
| Energy-efficient neuromorphic computation based on compound spin synapse with stochastic learning D Zhang, L Zeng, Y Qu, ZM Wang, W Zhao, T Tang, Y Wang 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 1538-1541, 2015 | 27 | 2015 |
| Rebooting computing and low-power image recognition challenge YH Lu, AM Kadin, AC Berg, TM Conte, EP DeBenedictis, R Garg, ... Computer-Aided Design (ICCAD), 2015 IEEE/ACM International Conference on …, 2015 | 22 | 2015 |
| NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators T Tang, S Li, L Nai, N Jouppi, Y Xie 2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021 | 19 | 2021 |
| MLPAT: A Power, Area, Timing Modeling Framework for Machine Learning Accelerators T Tang, S Li, Y Xie, N Jouppi The 1st International Workshop on Domain Specific System Architecture (DOSSA …, 2018 | 15 | 2018 |
Lixue XiaAlibaba GroupVerified email at alibaba-inc.com
