A Novel Separated Pre-discharging Sense Amplifier for STT-MRAM. - Huan Li; Zhenyu Zhao; Quan Deng; Peng Li; Haoyue Tang; Lianhua Qu (NCCET, 2016)

Mitigate erroneous operations of 2T-2MTJ STT-MRAM based on dynamic voltage threshold. - Haoyue Tang; Zhenyu Zhao; Lianhua Qu; Quan Deng; Huan Li; Wei Guo (IEICE Electron. Express, 2016)

A Software-Hardware Co-exploration Framework for Optimizing Communication in Neuromorphic Processor. - Shiying Wang; Lei Wang 011; Ziyang Kang; Lianhua Qu; Shiming Li; Jinshu Su (ACA, 2020)

Application-specific network-on-chip design space exploration framework for neuromorphic processor. - Ziyang Kang; Shiying Wang; Lei Wang 011; Shiming Li; Lianhua Qu; Wei Shi; Rui Gong; Weixia Xu (CF, 2020)

MAMAP: Congestion Relieved Memetic Algorithm based Mapping Method for Mapping Large-Scale SNNs onto NoC-based Neuromorphic Hardware. - Limeng Zhang; Shiming Li; Lianhua Qu; Ziyang Kang; Shiying Wang; Jihua Chen; Lei Wang 011 (HPCC/DSS/SmartCity, 2020)

Real-Time Gesture Classification System Based on Dynamic Vision Sensor. - Xiaofan Chen; Jian Wang; Limeng Zhang; Shasha Guo 001; Lianhua Qu; Lei Wang 011 (ICONIP (1), 2020)

CompressedCache: Enabling Storage Compression on Neuromorphic Processor for Liquid State Machine. - Zhijie Yang; Rui Gong; Lianhua Qu; Ziyang Kang; Li Luo; Lei Wang 011; Weixia Xu (NPC, 2020)

Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines. - Shasha Guo 001; Lianhua Qu; Lei Wang 011; Xulong Tang; Shuo Tian; Shiming Li; Weixia Xu (CoRR, 2020)

A Neural Architecture Search based Framework for Liquid State Machine Design. - Shuo Tian; Lianhua Qu; Kai Hu; Nan Li; Lei Wang; Weixia Xu (CoRR, 2020)

Efficient and hardware-friendly methods to implement competitive learning for spiking neural networks. - Lianhua Qu; Zhenyu Zhao; Lei Wang; Yong Wang (Neural Comput. Appl., 2020)

A Memristor-Based Spiking Neural Network With High Scalability and Learning Efficiency. - Zhenyu Zhao; Lianhua Qu; Lei Wang 011; Quan Deng; Nan Li; Ziyang Kang; Shasha Guo 001; Weixia Xu (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Enhancing the Performance of Liquid State Machine with Time-Division Sampling and Reservoir Reconstructing. - Yuchen Qiu; Lei Wang 011; Xiaofan Chen; Lianhua Qu (HPCC/DSS/SmartCity/DependSys, 2021)

A Hardware Aware Liquid State Machine Generation Framework. - Shiying Wang; Ziyang Kang; Lei Wang 011; Shiming Li; Lianhua Qu (ISCAS, 2021)

A neural architecture search based framework for liquid state machine design. - Shuo Tian; Lianhua Qu; Lei Wang 011; Kai Hu; Nan Li; Weixia Xu (Neurocomputing, 2021)

A multi-objective LSM/NoC architecture co-design framework. - Shiming Li; Shuo Tian; Ziyang Kang; Lianhua Qu; Shiying Wang; Lei Wang 011; Weixia Xu (J. Syst. Archit., 2021)

Dynamic Vision Sensor Based Gesture Recognition Using Liquid State Machine. - Xun Xiao; Lei Wang 011; Xiaofan Chen; Lianhua Qu; Shasha Guo 001; Yao Wang 002; Ziyang Kang (ICANN (3), 2022)

Hardware-aware liquid state machine generation for 2D/3D Network-on-Chip platforms. - Ziyang Kang; Shiying Wang; Lei Wang 011; Shiming Li; Lianhua Qu; Weixia Xu (J. Syst. Archit., 2022)

LSMCore: A 69k-Synapse/mm2 Single-Core Digital Neuromorphic Processor for Liquid State Machine. - Lei Wang 011; Zhijie Yang; Shasha Guo 001; Lianhua Qu; Xiangyu Zhang; Ziyang Kang; Weixia Xu (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Path-Based Multicast Routing for Network-on-Chip of the Neuromorphic Processor. - Ziyang Kang; Shiming Li; Shi-Ying Wang; Lianhua Qu; Rui Gong; Wei Shi; Weixia Xu; Lei Wang (J. Comput. Sci. Technol., 2023)

M-LSM: An Improved Multi-Liquid State Machine for Event-Based Vision Recognition. - Lei Wang 011; Sha-Sha Guo 001; Lianhua Qu; Shuo Tian; Weixia Xu (J. Comput. Sci. Technol., 2023)