| 33.2 A Fully Integrated Analog ReRAM Based 78.4 TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing Q Liu, B Gao, P Yao, D Wu, J Chen, Y Pang, W Zhang, Y Liao, CX Xue, ... 2020 IEEE International Solid-State Circuits Conference-(ISSCC), 500-502, 2020 | 218 | 2020 |
| 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 | 117 | 2020 |
| A Compact Model of Analog RRAM With Device and Array Nonideal Effects for Neuromorphic Systems Y Liao, B Gao, F Xu, P Yao, J Chen, W Zhang, J Tang, H Wu, H Qian IEEE Transactions on Electron Devices 67 (4), 1593-1599, 2020 | 33 | 2020 |
| Diagonal Matrix Regression Layer: Training Neural Networks on Resistive Crossbars with Interconnect Resistance Effect Y Liao, B Gao, P Yao, W Zhang, J Tang, H Wu, H Qian IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020 | 23 | 2020 |
| 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 | 22 | 2018 |
| RRAM Cross-Point Arrays H Wu, Y Liao, B Gao, D Jana, H Qian 3D Flash Memories, 223-260, 2016 | 12 | 2016 |
| Weighted synapses without carry operations for RRAM-based neuromorphic systems Y Liao, N Deng, H Wu, B Gao, Q Zhang, H Qian Frontiers in Neuroscience 12, 167, 2018 | 10 | 2018 |
| Parasitic Resistance Effect Analysis in RRAM-based TCAM for Memory Augmented Neural Networks Y Liao, B Gao, W Zhang, P Yao, X Li, J Tang, Z Li, S Cui, H Wu, H Qian 2020 IEEE International Memory Workshop (IMW), 1-4, 2020 | 6 | 2020 |
Huaqiang WuTsinghua University, Cornell UniversityVerified email at tsinghua.edu.cn
