Lixue Xia

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 34

Top Topics

Linearly Independent

Fault Tolerance

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

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
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
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
DAPPLE: a pipelined data parallel approach for training large models. PPoPP (2021)
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
Algorithmic Fault Detection for RRAM-based Matrix Operations. ACM Trans. Design Autom. Electr. Syst. 25 (3) (2020)
Yi Cai, Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang
Low Bit-Width Convolutional Neural Network on RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (7) (2020)
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
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI (2020)
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
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
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models. CoRR (2020)
Jiansong Zhang, Lixue Xia, Zhao Jiang, Hao Liang, Jiaoyan Chen, Shouda Liu, Wei Lin, Yuan Xie
Ouroboros: An Inference Engine for Deep Learning Based TTS on Embedded Devices. Hot Chips Symposium (2019)
Lixue Xia, Lansong Diao, Zhao Jiang, Hao Liang, Kai Chen, Li Ding, Shunli Dou, Zibin Su, Meng Sun, Jiansong Zhang, Wei Lin
PAI-FCNN: FPGA Based Inference System for Complex CNN Models. ASAP (2019)
Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang
A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC (2019)
Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang
TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (5) (2019)
Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang
Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (9) (2019)
Lansong Diao, Zhao Jiang, Hao Liang, Chang'an Ye, Kai Chen, Li Ding, Shunli Dou, Meng Sun, Lixue Xia, Jiansong Zhang, Wei Lin
PAI-FCNN: FPGA Based CNN Inference System. FPGA (2019)
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
Fault tolerance in neuromorphic computing systems. ASP-DAC (2019)
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
Design of fault-tolerant neuromorphic computing systems. ETS (2018)
Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang
Training low bitwidth convolutional neural network on RRAM. ASP-DAC (2018)
Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang, Huazhong Yang
Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method. ICCAD (2018)
Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie, Huazhong Yang
MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (5) (2018)
Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang
Rescuing memristor-based computing with non-linear resistance levels. DATE (2018)
Yuanhui Ni, Keni Qiu, Weiwen Chen, Lixue Xia, Yu Wang
Low power driven loop tiling for RRAM crossbar-based CNN. SAC (2018)
Lixue Xia, Wenqin Huangfu, Tianqi Tang, Xiling Yin, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang
Stuck-at Fault Tolerance in RRAM Computing Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (1) (2018)
Keni Qiu, Weiwen Chen, Yuanchao Xu, Lixue Xia, Yu Wang, Zili Shao
A peripheral circuit reuse structure integrated with a retimed data flow for low power RRAM crossbar-based CNN. DATE (2018)
Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty
Fault Tolerance for RRAM-Based Matrix Operations. ITC (2018)
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. DAC (2018)
Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang
Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems. DAC (2017)
Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang
TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks. DAC (2017)
Wenqin Huangfu, Lixue Xia, Ming Cheng, Xiling Yin, Tianqi Tang, Boxun Li, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang
Computation-oriented fault-tolerance schemes for RRAM computing systems. ASP-DAC (2017)
Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang
Binary convolutional neural network on RRAM. ASP-DAC (2017)
Lixue Xia, Peng Gu, Boxun Li, Tianqi Tang, Xiling Yin, Wenqin Huangfu, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang
Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication. J. Comput. Sci. Technol. 31 (1) (2016)
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
MNSIM: Simulation platform for memristor-based neuromorphic computing system. DATE (2016)
Yu Wang, Lixue Xia, Ming Cheng, Tianqi Tang, Boxun Li, Huazhong Yang
RRAM based learning acceleration. CASES (2016)
Yu Wang, Lixue Xia, Tianqi Tang, Boxun Li, Song Yao, Ming Cheng, Huazhong Yang
Low power Convolutional Neural Networks on a chip. ISCAS (2016)
Xiaoming Chen, Lixue Xia, Yu Wang, Huazhong Yang
Sparsity-oriented sparse solver design for circuit simulation. DATE (2016)
Lixue Xia, Tianqi Tang, Wenqin Huangfu, Ming Cheng, Xiling Yin, Boxun Li, Yu Wang, Huazhong Yang
Switched by input: power efficient structure for RRAM-based convolutional neural network. DAC (2016)
Lixue Xia, Rong Luo, Bin Zhao, Yu Wang, Huazhong Yang
An accurate and low-cost PM2.5 estimation method based on Artificial Neural Network. ASP-DAC (2015)
Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang
Spiking neural network with RRAM: can we use it for real-world application? DATE (2015)
Yu Wang, Tianqi Tang, Lixue Xia, Boxun Li, Peng Gu, Huazhong Yang, Hai Li, Yuan Xie
Energy Efficient RRAM Spiking Neural Network for Real Time Classification. ACM Great Lakes Symposium on VLSI (2015)
Boxun Li, Lixue Xia, Peng Gu, Yu Wang, Huazhong Yang
Merging the interface: power, area and accuracy co-optimization for RRAM crossbar-based mixed-signal computing system. DAC (2015)