Lixue Xia

38 papers A* 6A 8B 2C 1Misc 2Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2023 J jnl
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang
2021 B conf
DAPPLE: a pipelined data parallel approach for training large models.
PPoPP
Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
2020 J jnl
Algorithmic Fault Detection for RRAM-based Matrix Operations.
ACM Trans. Design Autom. Electr. Syst.
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
2020 J jnl
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models.
CoRR
Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
2020 J jnl
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
2020 J jnl
Low Bit-Width Convolutional Neural Network on RRAM.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yi Cai, Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang
2020 — conf
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems.
ACM Great Lakes Symposium on VLSI
Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang
2019 A* conf
A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM.
DAC
Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang
2019 — conf
Fault tolerance in neuromorphic computing systems.
ASP-DAC
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
2019 J jnl
Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang
2019 — conf
Ouroboros: An Inference Engine for Deep Learning Based TTS on Embedded Devices.
Hot Chips Symposium
Jiansong Zhang, Lixue Xia, Zhao Jiang, Hao Liang, Jiaoyan Chen, Shouda Liu, Wei Lin, Yuan Xie
2019 A conf
PAI-FCNN: FPGA Based CNN Inference System.
FPGA
Lansong Diao, Zhao Jiang, Hao Liang, Chang'an Ye, Kai Chen, Li Ding, Shunli Dou, Meng Sun, Lixue Xia, Jiansong Zhang, Wei Lin
2019 — conf
PAI-FCNN: FPGA Based Inference System for Complex CNN Models.
ASAP
Lixue Xia, Lansong Diao, Zhao Jiang, Hao Liang, Kai Chen, Li Ding, Shunli Dou, Zibin Su, Meng Sun, Jiansong Zhang, Wei Lin
2019 J jnl
TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang
2018 A conf
A peripheral circuit reuse structure integrated with a retimed data flow for low power RRAM crossbar-based CNN.
DATE
Keni Qiu, Weiwen Chen, Yuanchao Xu, Lixue Xia, Yu Wang, Zili Shao
2018 B conf
Design of fault-tolerant neuromorphic computing systems.
ETS
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
2018 A conf
Fault Tolerance for RRAM-Based Matrix Operations.
ITC
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
2018 A* conf
Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification.
DAC
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
2018 Misc conf
Low power driven loop tiling for RRAM crossbar-based CNN.
SAC
Yuanhui Ni, Keni Qiu, Weiwen Chen, Lixue Xia, Yu Wang
2018 J jnl
MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie, Huazhong Yang
2018 A conf
Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method.
ICCAD
Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang, Huazhong Yang
2018 A conf
Rescuing memristor-based computing with non-linear resistance levels.
DATE
Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang
2018 J jnl
Stuck-at Fault Tolerance in RRAM Computing Systems.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Lixue Xia, Wenqin Huangfu, Tianqi Tang, Xiling Yin, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang
2018 — conf
Training low bitwidth convolutional neural network on RRAM.
ASP-DAC
Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang
2017 — conf
Binary convolutional neural network on RRAM.
ASP-DAC
Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang
2017 — conf
Computation-oriented fault-tolerance schemes for RRAM computing systems.
ASP-DAC
Wenqin Huangfu, Lixue Xia, Ming Cheng, Xiling Yin, Tianqi Tang, Boxun Li, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang
2017 A* conf
Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems.
DAC
Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang
2017 A* conf
TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks.
DAC
Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang
2016 C conf
Low power Convolutional Neural Networks on a chip.
ISCAS
Yu Wang, Lixue Xia, Tianqi Tang, Boxun Li, Song Yao, Ming Cheng, Huazhong Yang
2016 A conf
MNSIM: Simulation platform for memristor-based neuromorphic computing system.
DATE
Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Xiling Yin, Wenqin Huangfu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie, Huazhong Yang
2016 Misc conf
RRAM based learning acceleration.
CASES
Yu Wang, Lixue Xia, Ming Cheng, Tianqi Tang, Boxun Li, Huazhong Yang
2016 A conf
Sparsity-oriented sparse solver design for circuit simulation.
DATE
Xiaoming Chen, Lixue Xia, Yu Wang, Huazhong Yang
2016 A* conf
Switched by input: power efficient structure for RRAM-based convolutional neural network.
DAC
Lixue Xia, Tianqi Tang, Wenqin Huangfu, Ming Cheng, Xiling Yin, Boxun Li, Yu Wang, Huazhong Yang
2016 J jnl
Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication.
J. Comput. Sci. Technol.
Lixue Xia, Peng Gu, Boxun Li, Tianqi Tang, Xiling Yin, Wenqin Huangfu, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang
2015 — conf
An accurate and low-cost PM2.5 estimation method based on Artificial Neural Network.
ASP-DAC
Lixue Xia, Rong Luo, Bin Zhao, Yu Wang, Huazhong Yang
2015 — conf
Energy Efficient RRAM Spiking Neural Network for Real Time Classification.
ACM Great Lakes Symposium on VLSI
Yu Wang, Tianqi Tang, Lixue Xia, Boxun Li, Peng Gu, Huazhong Yang, Hai Li, Yuan Xie
2015 A* conf
Merging the interface: power, area and accuracy co-optimization for RRAM crossbar-based mixed-signal computing system.
DAC
Boxun Li, Lixue Xia, Peng Gu, Yu Wang, Huazhong Yang
2015 A conf
Spiking neural network with RRAM: can we use it for real-world application?
DATE
Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang