| A survey on the optimization of neural network accelerators for micro-ai on-device inference AN Mazumder, J Meng, HA Rashid, U Kallakuri, X Zhang, JS Seo, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021 | 65* | 2021 |
| Structured pruning of RRAM crossbars for efficient in-memory computing acceleration of deep neural networks J Meng, L Yang, X Peng, S Yu, D Fan, JS Seo IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1576-1580, 2021 | 36 | 2021 |
| A 177 TOPS/W, capacitor-based in-memory computing SRAM macro with stepwise-charging/discharging DACs and sparsity-optimized bitcells for 4-bit deep convolutional neural networks B Zhang, J Saikia, J Meng, D Wang, S Kwon, S Myung, H Kim, SJ Kim, ... 2022 IEEE Custom Integrated Circuits Conference (CICC), 1-2, 2022 | 28 | 2022 |
| Fixyfpga: Efficient fpga accelerator for deep neural networks with high element-wise sparsity and without external memory access J Meng, SK Venkataramanaiah, C Zhou, P Hansen, P Whatmough, J Seo 2021 31st International Conference on Field-Programmable Logic and …, 2021 | 23 | 2021 |
| Digital versus analog artificial intelligence accelerators: Advances, trends, and emerging designs J Seo, J Saikia, J Meng, W He, H Suh, Y Liao, A Hasssan, I Yeo IEEE Solid-State Circuits Magazine 14 (3), 65-79, 2022 | 22 | 2022 |
| Temperature-resilient rram-based in-memory computing for dnn inference J Meng, W Shim, L Yang, I Yeo, D Fan, S Yu, J Seo IEEE Micro 42 (1), 89-98, 2021 | 15 | 2021 |
| Impact of multilevel retention characteristics on RRAM based DNN inference engine W Shim, J Meng, X Peng, J Seo, S Yu 2021 IEEE International Reliability Physics Symposium (IRPS), 1-4, 2021 | 15 | 2021 |
| Modeling and optimization of SRAM-based in-memory computing hardware design J Saikia, S Yin, SK Cherupally, B Zhang, J Meng, M Seok, JS Seo 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 942-947, 2021 | 14 | 2021 |
| Hybrid RRAM/SRAM in-memory computing for robust DNN acceleration G Krishnan, Z Wang, I Yeo, L Yang, J Meng, M Liehr, RV Joshi, NC Cady, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 10 | 2022 |
| Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning J Meng, L Yang, J Shin, D Fan, J Seo CVPR'22, 12257-12265, 2022 | 9 | 2022 |
| Improving the accuracy and robustness of rram-based in-memory computing against rram hardware noise and adversarial attacks SK Cherupally, J Meng, AS Rakin, S Yin, I Yeo, S Yu, D Fan, JS Seo Semiconductor Science and Technology 37 (3), 034001, 2022 | 8 | 2022 |
| Improving DNN hardware accuracy by in-memory computing noise injection SK Cherupally, J Meng, AS Rakin, S Yin, M Seok, D Fan, JS Seo IEEE Design & Test 39 (4), 71-80, 2021 | 6 | 2021 |
| Algorithm-hardware co-optimization for energy-efficient drone detection on resource-constrained fpga H Suh, J Meng, T Nguyen, V Kumar, Y Cao, JS Seo ACM Transactions on Reconfigurable Technology and Systems 16 (2), 1-25, 2023 | 5 | 2023 |
| Xst: A crossbar column-wise sparse training for efficient continual learning F Zhang, L Yang, J Meng, JS Seo, Y Cao, D Fan 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 48-51, 2022 | 5 | 2022 |
| Dot-product computation and logistic regression with 2D hexagonal-boron nitride (h-BN) memristor arrays S Afshari, S Radhakrishnan, J Xie, M Musisi-Nkambwe, J Meng, W He, ... 2D Materials 10 (3), 035031, 2023 | 4 | 2023 |
| Xbm: A crossbar column-wise binary mask learning method for efficient multiple task adaption F Zhang, L Yang, J Meng, YK Cao, J Seo, D Fan 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 610-615, 2022 | 4 | 2022 |
| A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification SK Venkataramanaiah, J Meng, HS Suh, I Yeo, J Saikia, SK Cherupally, ... ESSCIRC 2022-IEEE 48th European Solid State Circuits Conference (ESSCIRC), 89-92, 2022 | 3 | 2022 |
| A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity SK Venkataramanaiah, J Meng, HS Suh, I Yeo, J Saikia, SK Cherupally, ... IEEE Journal of Solid-State Circuits, 2023 | 2 | 2023 |
| Get More at Once: Alternating Sparse Training with Gradient Correction J Meng, L Yang, J Seo, D Fan Advances in Neural Information Processing Systems, 2022 | 2 | 2022 |
| Spatial-temporal data compression of dynamic vision sensor output with high pixel-level saliency using low-precision sparse autoencoder A Hasssan, J Meng, Y Cao, J Seo 2022 56th Asilomar Conference on Signals, Systems, and Computers, 344-348, 2022 | 2 | 2022 |
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