Lixue Xia (夏立雪)


Lixue Xia received his B.S. degree and Ph.D. degree (with honor) in Electronic Engineering Department, Tsinghua University, in 2013 and in 2018. Lixue Xia is currently a Senior Research & Development Engineer in Alibaba Group. His research mainly focuses on hardware computing system design for deep learning algorithms and neuromorphic computing based on emerging non-volatile device.

Contact

Address: 4-205, Rohm Building, Tsinghua University, Beijing, China
Email: lixuexia0321NOSPAMMING☺gmail·com

Selected Publications


Journal Articles

  • 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 , to appear in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019. pdf
  • Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang, Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing System , to appear in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019. pdf
  • Lixue Xia, Wenqin Huangfu, Tianqi Tang, Xiling Yin, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang, Stuck-at Fault Tolerance in RRAM Computing Systems , in IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol.8, No.1, 2018, pp.102-115. pdf
  • 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 , in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol.37, No.5, 2018, pp.1009-1022. pdf
  • 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 , in Journal of Computer Science and Technology (JCST), vol.31, No.1, 2016, pp.3-19. pdf

Conference Papers

  • Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty, Fault Tolerance in Neuromorphic Computing Systems , in Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.
  • Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang, Training Low Bitwidth Convolutional Neural Networks on RRAM , in Proceedings of the 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 2018, pp.117-122. pdf
  • 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 , in Design Automation Conference (DAC), 2018. pdf
  • 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 , in DATE, 2018, pp.1057-1062. pdf
  • Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang and Huazhong Yang, Rescuing Memristor-based Computing with Non-linear Resistance Levels , in DATE 2018, 2018, pp.407-412. pdf
  • Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty, Design of Fault-Tolerant Neuromorphic Computing Systems , in European Test Symposium, 2018.
  • Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang and Huazhong Yang, Mixed Size Crossbar based RRAM CNN Accelerator with Overlapped Mapping Method , in IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2018. pdf slide
  • Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty, Fault Tolerance for RRAM-Based Matrix Operations , to appear in International Test Conference (ITC), 2018. pdf
  • Yuanhui Ni, Keni Qiu, Weiwen Chen, Lixue Xia, Yu Wang, Low Power Driven and Multi-CLP aware Loop Tiling for RRAM Crossbar-based CNN , in ACM/SIGAPP Symposium On Applied Computing (SAC), 2018.
  • Wenqin Huangfu, Lixue Xia, Ming Cheng, Xilin Yin, Tianqi Tang, Boxun Li, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang, Computation-Oriented Fault-Tolerance Schemes for RRAM Computing Systems , in Proceedings of the 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 2017, pp.794-799. pdf slide
  • Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang, Binary Convolutional Neural Network on RRAM , in Proceedings of the 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 2017, pp.782-787. pdf slide
  • Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang, Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems , in DAC, 2017. pdf
  • 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 Network , in Design Automation Conference (DAC), 2017, pp.26:1-26:6. pdf slide
  • Fang Su, Wei-Hao Chen, Lixue Xia, Chieh-Pu Lo, Tianqi Tang, Zhibo Wang, Kuo-Hsiang Hsu, Ming Cheng, Jun-Yi Li, Yuan Xie, Yu Wang, Meng-Fan Chang, Huazhong Yang, Yongpan Liu, A 462GOPs/J RRAM-Based Nonvolatile Intelligent Processor for Energy Harvesting IoE System Featuring Nonvolatile Logics and Processing-In-Memory , in IEEE Symposium on VLSI Circuits (VLSIC), 2017. pdf
  • Yu Wang, Lixue Xia, Ming Cheng, Tianqi Tang, Boxun Li, Huazhong Yang, RRAM Based Learning Acceleration , in Compliers, Architectures, and Sythesis of Embedded Systems (CASES) invited talk, 2016, pp.1-2. pdf
  • 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 , in Design Automation Conference (DAC), 2016, pp.125:1-125:6. pdf slide
  • Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Xiling Yin, Wenqin Huangfu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie and Huazhong Yang, MNSIM: Simulation Platform for Memristor-based Neuromorphic Computing System , in DATE, 2016, pp.469-474. pdf slide
  • Xiaoming Chen, Lixue Xia, Yu Wang, Huazhong Yang, Sparsity-Oriented Sparse Solver Design for Circuit Simulation , in DATE, 2016, pp.1580-1585. pdf slide
  • Yu Wang, Lixue Xia, Tianqi Tang, Boxun Li, Song Yao, Ming Cheng, Huazhong Yang, Low Power Convolutional Neural Networks on a Chip , in ISCAS, 2016, pp.129-132. pdf slide
  • Lixue Xia, Rong Luo, Bin Zhao, Yu Wang, Huazhong Yang, An Accurate and Low Cost PM2.5 Estimation Method Based on Artificial Neural Network , in Proceedings of the 20th Asia and South Pacific Design Automation Conference (ASP-DAC), 2015, pp.190-195. pdf
  • Boxun Li, Lixue Xia, Peng Gu, Yu Wang, and Huazhong Yang, Merging the interface: Power, area and accuracy co-optimization for RRAM crossbar-based mixed-signal , in 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), 2015, pp.13:1-13:6. pdf
  • Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yu Wang, Yiran Chen, Huangzhong Yang, Spiking Neural Network with RRAM : Can We Use it for Real-World Application? , in Proceedings of the Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015, pp.860-865. pdf
  • Yu Wang, Tianqi Tang, Lixue Xia, Boxun Li, Peng Gu, Hai Li, Yuan Xie, Huazhong Yang, Energy Efficient RRAM Spiking Neural Network for Real Time Classification , in Proceedings of the 25th Edition on Great Lakes Symposium on VLSI (GLSVLSI), 2015, pp.189-194. pdf
  • Shimeng Yu, Pai-Yu Chen, Yu Cao, Lixue Xia, Yu Wang, Huaqiang Wu, Scaling-up Resistive Synaptic Arrays for Neuro-inspired Architecture: Challenges and Prospect , in IEEE International Electron Devices Meeting (IEDM), 2015, pp.451-454. pdf

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