| A compute-in-memory chip based on resistive random-access memory W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ... Nature 608 (7923), 504-512, 2022 | 566 | 2022 |
| Device and materials requirements for neuromorphic computing R Islam, H Li, PY Chen, W Wan, HY Chen, B Gao, H Wu, S Yu, ... Journal of Physics D: Applied Physics 52 (11), 113001, 2019 | 156 | 2019 |
| 33.1 A 74 TMACS/W CMOS-RRAM neurosynaptic core with dynamically reconfigurable dataflow and in-situ transposable weights for probabilistic graphical models W Wan, R Kubendran, SB Eryilmaz, W Zhang, Y Liao, D Wu, S Deiss, ... 2020 IEEE International Solid-State Circuits Conference-(ISSCC), 498-500, 2020 | 132 | 2020 |
| Recent advances and future prospects for memristive materials, devices, and systems MK Song, JH Kang, X Zhang, W Ji, A Ascoli, I Messaris, AS Demirkol, ... ACS nano 17 (13), 11994-12039, 2023 | 129 | 2023 |
| High-density multiple bits-per-cell 1T4R RRAM array with gradual SET/RESET and its effectiveness for deep learning ER Hsieh, M Giordano, B Hodson, A Levy, SK Osekowsky, RM Radway, ... 2019 IEEE International Electron Devices Meeting (IEDM), 35.6. 1-35.6. 4, 2019 | 61 | 2019 |
| SAPIENS: A 64-kb RRAM-based non-volatile associative memory for one-shot learning and inference at the edge H Li, WC Chen, A Levy, CH Wang, H Wang, PH Chen, W Wan, WS Khwa, ... IEEE Transactions on Electron Devices 68 (12), 6637-6643, 2021 | 59 | 2021 |
| Neuromorphic architectures with electronic synapses SB Eryilmaz, S Joshi, E Neftci, W Wan, G Cauwenberghs, HSP Wong 2016 17th International Symposium on Quality Electronic Design (ISQED), 118-123, 2016 | 42 | 2016 |
| A voltage-mode sensing scheme with differential-row weight mapping for energy-efficient RRAM-based in-memory computing W Wan, R Kubendran, B Gao, S Joshi, P Raina, H Wu, G Cauwenberghs, ... 2020 IEEE Symposium on VLSI Technology, 1-2, 2020 | 41 | 2020 |
| Error-resilient analog image storage and compression with analog-valued rram arrays: an adaptive joint source-channel coding approach X Zheng, R Zarcone, D Paiton, J Sohn, W Wan, B Olshausen, HSP Wong 2018 IEEE International Electron Devices Meeting (IEDM), 3.5. 1-3.5. 4, 2018 | 31 | 2018 |
| One-shot learning with memory-augmented neural networks using a 64-kbit, 118 GOPS/W RRAM-based non-volatile associative memory H Li, WC Chen, A Levy, CH Wang, H Wang, PH Chen, W Wan, HSP Wong, ... 2021 Symposium on VLSI Technology, 1-2, 2021 | 27 | 2021 |
| Novel in-memory matrix-matrix multiplication with resistive cross-point arrays Y Liao, H Wu, W Wan, W Zhang, B Gao, HSP Wong, H Qian 2018 IEEE Symposium on VLSI Technology, 31-32, 2018 | 27 | 2018 |
| Analog coding in emerging memory systems RV Zarcone, JH Engel, S Burc Eryilmaz, W Wan, SB Kim, M BrightSky, ... Scientific reports 10 (1), 6831, 2020 | 17* | 2020 |
| Edge AI without compromise: efficient, versatile and accurate neurocomputing in resistive random-access memory W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ... arXiv preprint arXiv:2108.07879, 2021 | 11 | 2021 |
| Coming up N3XT, after 2D scaling of Si CMOS W Hwang, W Wan, S Mitra, HSP Wong 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 10 | 2018 |
| A 1.52 pJ/spike reconfigurable multimodal integrate-and-fire neuron array transceiver R Kubendran, W Wan, S Joshi, HSP Wong, G Cauwenberghs International Conference on Neuromorphic Systems 2020, 1-4, 2020 | 4 | 2020 |
| PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro With In Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout Z Chen, Z Wen, W Wan, AR Pakala, Y Zou, WC Wei, Z Li, Y Chen, K Yang IEEE Journal of Solid-State Circuits, 2024 | 3 | 2024 |
| Facial Expression Recognition Using Convlutional Neural Network W Wan, C Yang, Y Li | 1 | 2016 |
| Neurram: Rram compute-in-memory chip for efficient versatile and accurate ai inference W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ... | 1 | |
| RRAM Compute-in-Memory Hardware for Efficient, Versatile, and Accurate ai Inference W Wan Stanford University, 2022 | | 2022 |
| Analog Coding in Emerging Memory Systems (vol 17, 819, 2020) RV Zarcone, JH Engel, SB Eryilmaz, W Wan, SB Kim, M BrightSky, C Lam, ... SCIENTIFIC REPORTS 10 (1), 2020 | | 2020 |
H.-S. Philip WongProfessor of Electrical Engineering, Stanford Universitystanford.edu의 이메일 확인됨