| Sc-dcnn: highly-scalable deep convolutional neural network using stochastic computing A Ren, J Li, Z Li, C Ding, X Qian, Q Qiu, B Yuan, Y Wang 22nd ACM International Conference on Architectural Support for Programming …, 2017 | 234 | 2017 |
| DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers M Cheng, J Li, S Nazarian 2018 23rd Asia and South pacific design automation conference (ASP-DAC), 129-134, 2018 | 189 | 2018 |
| Ftrans: energy-efficient acceleration of transformers using fpga B Li, S Pandey, H Fang, Y Lyv, J Li, J Chen, M Xie, L Wan, H Liu, C Ding Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020 | 82 | 2020 |
| Towards acceleration of deep convolutional neural networks using stochastic computing J Li, A Ren, Z Li, C Ding, B Yuan, Q Qiu, Y Wang 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 115-120, 2017 | 75 | 2017 |
| HEIF: Highly efficient stochastic computing-based inference framework for deep neural networks Z Li, J Li, A Ren, R Cai, C Ding, X Qian, J Draper, B Yuan, J Tang, Q Qiu, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 74 | 2018 |
| Fully printed all-solid-state organic flexible artificial synapse for neuromorphic computing Q Liu, Y Liu, J Li, C Lau, F Wu, A Zhang, Z Li, M Chen, H Fu, J Draper, ... ACS applied materials & interfaces 11 (18), 16749-16757, 2019 | 66 | 2019 |
| Dscnn: Hardware-oriented optimization for stochastic computing based deep convolutional neural networks Z Li, A Ren, J Li, Q Qiu, Y Wang, B Yuan 2016 IEEE 34th International Conference on Computer Design (ICCD), 678-681, 2016 | 60 | 2016 |
| Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks J Li, Z Yuan, Z Li, C Ding, A Ren, Q Qiu, J Draper, Y Wang 2017 International Joint Conference on Neural Networks (IJCNN), 1230-1236, 2017 | 55 | 2017 |
| Structural Design Optimization for Deep Convolutional Neural Networks using Stochastic Computing Z Li, A Ren, J Li, Q Qiu, B Yuan, J Draper, Y Wang Design Automation and Test in Europe (DATE), 2017 | 45 | 2017 |
| Fundamental challenges toward making the iot a reachable reality: A model-centric investigation Y Xue, J Li, S Nazarian, P Bogdan ACM Transactions on Design Automation of Electronic Systems (TODAES) 22 (3 …, 2017 | 30 | 2017 |
| Normalization and dropout for stochastic computing-based deep convolutional neural networks J Li, Z Yuan, Z Li, A Ren, C Ding, J Draper, S Nazarian, Q Qiu, B Yuan, ... Integration 65, 395-403, 2019 | 28 | 2019 |
| Fast and energy-aware resource provisioning and task scheduling for cloud systems H Li, J Li, W Yao, S Nazarian, X Lin, Y Wang 2017 18th international symposium on quality electronic design (ISQED), 174-179, 2017 | 27 | 2017 |
| Tag: Gradient attack on transformer-based language models J Deng, Y Wang, J Li, C Shang, H Liu, S Rajasekaran, C Ding arXiv preprint arXiv:2103.06819, 2021 | 25 | 2021 |
| Efficient transformer-based large scale language representations using hardware-friendly block structured pruning B Li, Z Kong, T Zhang, J Li, Z Li, H Liu, C Ding arXiv preprint arXiv:2009.08065, 2020 | 25 | 2020 |
| Multisource indoor energy harvesting for nonvolatile processors C Ding, N Liu, Y Wang, J Li, S Heidari, J Hu, Y Liu IEEE Design & Test 34 (3), 42-49, 2017 | 25 | 2017 |
| Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices J Li, Y Wang, X Lin, S Nazarian, M Pedram The 20th Asia and South Pacific Design Automation Conference, 261-266, 2015 | 25 | 2015 |
| Negotiation-based task scheduling to minimize user's electricity bills under dynamic energy prices J Li, Y Wang, T Cui, S Nazarian, M Pedram Green Communications (OnlineGreencomm), 2014 IEEE Online Conference on, 1-6, 2014 | 25 | 2014 |
| Accelerated soft-error-rate (SER) estimation for combinational and sequential circuits J Li, J Draper ACM Transactions on Design Automation of Electronic Systems (TODAES) 22 (3 …, 2017 | 23 | 2017 |
| Softmax regression design for stochastic computing based deep convolutional neural networks Z Yuan, J Li, Z Li, C Ding, A Ren, B Yuan, Q Qiu, J Draper, Y Wang Proceedings of the on Great Lakes Symposium on VLSI 2017, 467-470, 2017 | 21 | 2017 |
| Accelerating soft-error-rate (ser) estimation in the presence of single event transients J Li, J Draper Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 21 | 2016 |
Yanzhi WangNortheastern UniversityVerified email at northeastern.edu
