An accurate and low-cost PM2.5 estimation method based on Artificial Neural Network. - Lixue Xia; Rong Luo; Bin Zhao; Yu Wang 002; Huazhong Yang (ASP-DAC, 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 002; Huazhong Yang (DAC, 2015)

Spiking neural network with RRAM: can we use it for real-world application? - Tianqi Tang 001; Lixue Xia; Boxun Li; Rong Luo; Yiran Chen 001; Yu Wang 002; Huazhong Yang (DATE, 2015)

Energy Efficient RRAM Spiking Neural Network for Real Time Classification. - Yu Wang 002; Tianqi Tang 001; Lixue Xia; Boxun Li; Peng Gu; Huazhong Yang; Hai Li 001; Yuan Xie 001 (ACM Great Lakes Symposium on VLSI, 2015)

RRAM based learning acceleration. - Yu Wang 002; Lixue Xia; Ming Cheng; Tianqi Tang 001; Boxun Li; Huazhong Yang (CASES, 2016)

Switched by input: power efficient structure for RRAM-based convolutional neural network. - Lixue Xia; Tianqi Tang 001; Wenqin Huangfu; Ming Cheng; Xiling Yin; Boxun Li; Yu Wang 002; Huazhong Yang (DAC, 2016)

Sparsity-oriented sparse solver design for circuit simulation. - Xiaoming Chen 003; Lixue Xia; Yu Wang 002; Huazhong Yang (DATE, 2016)

MNSIM: Simulation platform for memristor-based neuromorphic computing system. - Lixue Xia; Boxun Li; Tianqi Tang 001; Peng Gu; Xiling Yin; Wenqin Huangfu; Pai-Yu Chen; Shimeng Yu; Yu Cao 001; Yu Wang 002; Yuan Xie 001; Huazhong Yang (DATE, 2016)

Low power Convolutional Neural Networks on a chip. - Yu Wang 002; Lixue Xia; Tianqi Tang 001; Boxun Li; Song Yao; Ming Cheng; Huazhong Yang (ISCAS, 2016)

Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication. - Lixue Xia; Peng Gu; Boxun Li; Tianqi Tang 001; Xiling Yin; Wenqin Huangfu; Shimeng Yu; Yu Cao 001; Yu Wang 002; Huazhong Yang (J. Comput. Sci. Technol., 2016)

Computation-oriented fault-tolerance schemes for RRAM computing systems. - Wenqin Huangfu; Lixue Xia; Ming Cheng; Xiling Yin; Tianqi Tang 001; Boxun Li; Krishnendu Chakrabarty; Yuan Xie 001; Yu Wang 002; Huazhong Yang (ASP-DAC, 2017)

Binary convolutional neural network on RRAM. - Tianqi Tang 001; Lixue Xia; Boxun Li; Yu Wang 002; Huazhong Yang (ASP-DAC, 2017)

TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks. - Ming Cheng; Lixue Xia; Zhenhua Zhu; Yi Cai 003; Yuan Xie 001; Yu Wang 002; Huazhong Yang (DAC, 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 002 (DAC, 2017)

Training low bitwidth convolutional neural network on RRAM. - Yi Cai 003; Tianqi Tang 001; Lixue Xia; Ming Cheng; Zhenhua Zhu; Yu Wang 002; Huazhong Yang (ASP-DAC, 2018)

Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. - Yi Cai 003; Yujun Lin 001; Lixue Xia; Xiaoming Chen 003; Song Han 003; Yu Wang 002; Huazhong Yang (DAC, 2018)

Rescuing memristor-based computing with non-linear resistance levels. - Jilan Lin; Lixue Xia; Zhenhua Zhu; Hanbo Sun; Yi Cai 003; Hui Gao; Ming Cheng; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (DATE, 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 002; Lixue Xia; Yu Wang 002; Zili Shao (DATE, 2018)

Design of fault-tolerant neuromorphic computing systems. - Mengyun Liu; Lixue Xia; Yu Wang 002; Krishnendu Chakrabarty (ETS, 2018)

Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method. - Zhenhua Zhu; Jilan Lin; Ming Cheng; Lixue Xia; Hanbo Sun; Xiaoming Chen 003; Yu Wang 002; Huazhong Yang (ICCAD, 2018)

Fault Tolerance for RRAM-Based Matrix Operations. - Mengyun Liu; Lixue Xia; Yu Wang 002; Krishnendu Chakrabarty (ITC, 2018)

Low power driven loop tiling for RRAM crossbar-based CNN. - Yuanhui Ni; Keni Qiu; Weiwen Chen; Lixue Xia; Yu Wang 002 (SAC, 2018)

Stuck-at Fault Tolerance in RRAM Computing Systems. - Lixue Xia; Wenqin Huangfu; Tianqi Tang 001; Xiling Yin; Krishnendu Chakrabarty; Yuan Xie 001; Yu Wang 002; Huazhong Yang (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System. - Lixue Xia; Boxun Li; Tianqi Tang 001; Peng Gu; Pai-Yu Chen; Shimeng Yu; Yu Cao 001; Yu Wang 002; Yuan Xie 001; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

PAI-FCNN: FPGA Based Inference System for Complex CNN Models. - Lixue Xia; Lansong Diao; Zhao Jiang; Hao Liang 003; Kai Chen 008; Li Ding; Shunli Dou; Zibin Su; Meng Sun; Jiansong Zhang 001; Wei Lin 016 (ASAP, 2019)

Fault tolerance in neuromorphic computing systems. - Mengyun Liu; Lixue Xia; Yu Wang 002; Krishnendu Chakrabarty (ASP-DAC, 2019)

A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. - Zhenhua Zhu; Hanbo Sun; Yujun Lin 001; Guohao Dai; Lixue Xia; Song Han 003; Yu Wang 002; Huazhong Yang (DAC, 2019)

PAI-FCNN: FPGA Based CNN Inference System. - Lansong Diao; Zhao Jiang; Hao Liang 003; Chang'an Ye; Kai Chen 008; Li Ding; Shunli Dou; Meng Sun; Lixue Xia; Jiansong Zhang 001; Wei Lin 016 (FPGA, 2019)

Ouroboros: An Inference Engine for Deep Learning Based TTS on Embedded Devices. - Jiansong Zhang 001; Lixue Xia; Zhao Jiang; Hao Liang 003; Jiaoyan Chen; Shouda Liu; Wei Lin 016; Yuan Xie 001 (Hot Chips Symposium, 2019)

TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks. - Ming Cheng; Lixue Xia; Zhenhua Zhu; Yi Cai 003; Yuan Xie 001; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

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 003; Xiaobo Sharon Hu; Yu Cao 001; Yuan Xie 001; Yu Wang 002; et al. (ACM Great Lakes Symposium on VLSI, 2020)

Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. - Yi Cai 003; Yujun Lin 001; Lixue Xia; Xiaoming Chen 003; Song Han 003; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Low Bit-Width Convolutional Neural Network on RRAM. - Yi Cai 003; Tianqi Tang 001; Lixue Xia; Boxun Li; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Algorithmic Fault Detection for RRAM-based Matrix Operations. - Mengyun Liu; Lixue Xia; Yu Wang 002; Krishnendu Chakrabarty (ACM Trans. Design Autom. Electr. Syst., 2020)

DAPPLE: a pipelined data parallel approach for training large models. - Shiqing Fan; Yi Rong; Chen Meng; Zongyan Cao; Siyu Wang; Zhen Zheng; Chuan Wu 001; Guoping Long; Jun Yang 052; Lixue Xia; Lansong Diao; Xiaoyong Liu; et al. (PPoPP, 2021)

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 003; Xiaobo Sharon Hu; Yu Cao 001; Yuan Xie 001; Huazhong Yang; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)