Lixue Xia
Lixue Xia
Alibaba Group
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
Scaling-up resistive synaptic arrays for neuro-inspired architecture: Challenges and prospect
S Yu, PY Chen, Y Cao, L Xia, Y Wang, H Wu
2015 IEEE International Electron Devices Meeting (IEDM), 17.3. 1-17.3. 4, 2015
1372015
Technological exploration of RRAM crossbar array for matrix-vector multiplication
L Xia, P Gu, B Li, T Tang, X Yin, W Huangfu, S Yu, Y Cao, Y Wang, ...
Journal of Computer Science and Technology 31 (1), 3-19, 2016
1252016
Binary convolutional neural network on RRAM
T Tang, L Xia, B Li, Y Wang, H Yang
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 782-787, 2017
1132017
Time: A training-in-memory architecture for memristor-based deep neural networks
M Cheng, L Xia, Z Zhu, Y Cai, Y Xie, Y Wang, H Yang
2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2017
722017
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
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
712016
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 …, 2017
692017
Merging the interface: Power, area and accuracy co-optimization for rram crossbar-based mixed-signal computing system
B Li, L Xia, P Gu, Y Wang, H Yang
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
642015
Fault-tolerant training with on-line fault detection for RRAM-based neural computing systems
L Xia, M Liu, X Ning, K Chakrabarty, Y Wang
Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017
592017
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, ...
2017 Symposium on VLSI Technology, T260-T261, 2017
422017
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 …, 2017
372017
Low power convolutional neural networks on a chip
Y Wang, L Xia, T Tang, B Li, S Yao, M Cheng, H Yang
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 129-132, 2016
362016
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
332015
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, ...
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 794-799, 2017
252017
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
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 860-865, 2015
232015
Long live time: improving lifetime for training-in-memory engines by structured gradient sparsification
Y Cai, Y Lin, L Xia, X Chen, S Han, Y Wang, H Yang
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018
212018
Time: A training-in-memory architecture for RRAM-based deep neural networks
M Cheng, L Xia, Z Zhu, Y Cai, Y Xie, Y Wang, H Yang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
192018
A configurable multi-precision cnn computing framework based on single bit rram
Z Zhu, H Sun, Y Lin, G Dai, L Xia, S Han, Y Wang, H Yang
2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019
162019
Training low bitwidth convolutional neural network on RRAM
Y Cai, T Tang, L Xia, M Cheng, Z Zhu, Y Wang, H Yang
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 117-122, 2018
152018
Energy efficient spiking neural network design with RRAM devices
Y Wang, T Tang, B Li, L Xia, H Yang
Emerging Technology and Architecture for Big-data Analytics, 245-259, 2017
132017
Fault-tolerant training enabled by on-line fault detection for RRAM-based neural computing systems
L Xia, M Liu, X Ning, K Chakrabarty, Y Wang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
122018
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