Lixue Xia

According to our database, Lixue Xia authored at least 37 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures.

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

2021

DAPPLE: a pipelined data parallel approach for training large models.

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

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2020

Algorithmic Fault Detection for RRAM-based Matrix Operations.

Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty

ACM Trans. Design Autom. Electr. Syst., 2020

Low Bit-Width Convolutional Neural Network on RRAM.

Yi Cai, Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems.

Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems.

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

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

2019

Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems.

Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks.

Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Ouroboros: An Inference Engine for Deep Learning Based TTS on Embedded Devices.

Jiansong Zhang, Lixue Xia, Zhao Jiang, Hao Liang, Jiaoyan Chen, Shouda Liu, Wei Lin, Yuan Xie

Proceedings of the 2019 IEEE Hot Chips 31 Symposium (HCS), 2019

PAI-FCNN: FPGA Based CNN Inference System.

Lansong Diao, Zhao Jiang, Hao Liang, Chang'an Ye, Kai Chen, Li Ding, Shunli Dou, Meng Sun, Lixue Xia, Jiansong Zhang, Wei Lin

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM.

Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Fault tolerance in neuromorphic computing systems.

Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

PAI-FCNN: FPGA Based Inference System for Complex CNN Models.

Lixue Xia, Lansong Diao, Zhao Jiang, Hao Liang, Kai Chen, Li Ding, Shunli Dou, Zibin Su, Meng Sun, Jiansong Zhang, Wei Lin

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018

MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System.

Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

Stuck-at Fault Tolerance in RRAM Computing Systems.

Lixue Xia, Wenqin Huangfu, Tianqi Tang, Xiling Yin, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Low power driven loop tiling for RRAM crossbar-based CNN.

Yuanhui Ni, Keni Qiu, Weiwen Chen, Lixue Xia, Yu Wang

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Fault Tolerance for RRAM-Based Matrix Operations.

Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty

Proceedings of the IEEE International Test Conference, 2018

Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method.

Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang, Huazhong Yang

Proceedings of the International Conference on Computer-Aided Design, 2018

Design of fault-tolerant neuromorphic computing systems.

Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty

Proceedings of the 23rd IEEE European Test Symposium, 2018

A peripheral circuit reuse structure integrated with a retimed data flow for low power RRAM crossbar-based CNN.

Keni Qiu, Weiwen Chen, Yuanchao Xu, Lixue Xia, Yu Wang, Zili Shao

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Rescuing memristor-based computing with non-linear resistance levels.

Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification.

Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang

Proceedings of the 55th Annual Design Automation Conference, 2018

Training low bitwidth convolutional neural network on RRAM.

Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems.

Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang

Proceedings of the 54th Annual Design Automation Conference, 2017

TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks.

Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang

Proceedings of the 54th Annual Design Automation Conference, 2017

Binary convolutional neural network on RRAM.

Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

Computation-oriented fault-tolerance schemes for RRAM computing systems.

Wenqin Huangfu, Lixue Xia, Ming Cheng, Xiling Yin, Tianqi Tang, Boxun Li, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication.

Lixue Xia, Peng Gu, Boxun Li, Tianqi Tang, Xiling Yin, Wenqin Huangfu, Shimeng Yu, Yu Cao, Yu Wang, Huazhong Yang

J. Comput. Sci. Technol., 2016

Low power Convolutional Neural Networks on a chip.

Yu Wang, Lixue Xia, Tianqi Tang, Boxun Li, Song Yao, Ming Cheng, Huazhong Yang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

MNSIM: Simulation platform for memristor-based neuromorphic computing system.

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

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Sparsity-oriented sparse solver design for circuit simulation.

Xiaoming Chen, Lixue Xia, Yu Wang, Huazhong Yang

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Switched by input: power efficient structure for RRAM-based convolutional neural network.

Lixue Xia, Tianqi Tang, Wenqin Huangfu, Ming Cheng, Xiling Yin, Boxun Li, Yu Wang, Huazhong Yang

Proceedings of the 53rd Annual Design Automation Conference, 2016

RRAM based learning acceleration.

Yu Wang, Lixue Xia, Ming Cheng, Tianqi Tang, Boxun Li, Huazhong Yang

Proceedings of the 2016 International Conference on Compilers, 2016

2015

Energy Efficient RRAM Spiking Neural Network for Real Time Classification.

Yu Wang, Tianqi Tang, Lixue Xia, Boxun Li, Peng Gu, Huazhong Yang, Hai Li, Yuan Xie

Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

Spiking neural network with RRAM: can we use it for real-world application?

Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Merging the interface: power, area and accuracy co-optimization for RRAM crossbar-based mixed-signal computing system.

Boxun Li, Lixue Xia, Peng Gu, Yu Wang, Huazhong Yang

Proceedings of the 52nd Annual Design Automation Conference, 2015

An accurate and low-cost PM2.5 estimation method based on Artificial Neural Network.

Lixue Xia, Rong Luo, Bin Zhao, Yu Wang, Huazhong Yang

Proceedings of the 20th Asia and South Pacific Design Automation Conference, 2015