Lianhua Qu

According to our database, Lianhua Qu authored at least 20 papers between 2016 and 2023.

Collaborative distances:

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

2023

M-LSM: An Improved Multi-Liquid State Machine for Event-Based Vision Recognition.

Lei Wang, Shasha Guo, Lianhua Qu, Shuo Tian, Weixia Xu

J. Comput. Sci. Technol., December, 2023

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., September, 2023

2022

LSMCore: A 69k-Synapse/mm² Single-Core Digital Neuromorphic Processor for Liquid State Machine.

Lei Wang, Zhijie Yang, Shasha Guo, Lianhua Qu, Xiangyu Zhang, Ziyang Kang, Weixia Xu

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Hardware-aware liquid state machine generation for 2D/3D Network-on-Chip platforms.

Ziyang Kang, Shiying Wang, Lei Wang, Shiming Li, Lianhua Qu, Weixia Xu

J. Syst. Archit., 2022

Dynamic Vision Sensor Based Gesture Recognition Using Liquid State Machine.

Xun Xiao, Lei Wang, Xiaofan Chen, Lianhua Qu, Shasha Guo, Yao Wang, Ziyang Kang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

A multi-objective LSM/NoC architecture co-design framework.

Shiming Li, Shuo Tian, Ziyang Kang, Lianhua Qu, Shiying Wang, Lei Wang, Weixia Xu

J. Syst. Archit., 2021

A neural architecture search based framework for liquid state machine design.

Shuo Tian, Lianhua Qu, Lei Wang, Kai Hu, Nan Li, Weixia Xu

Neurocomputing, 2021

A Hardware Aware Liquid State Machine Generation Framework.

Shiying Wang, Ziyang Kang, Lei Wang, Shiming Li, Lianhua Qu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Enhancing the Performance of Liquid State Machine with Time-Division Sampling and Reservoir Reconstructing.

Yuchen Qiu, Lei Wang, Xiaofan Chen, Lianhua Qu

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

A Memristor-Based Spiking Neural Network With High Scalability and Learning Efficiency.

Zhenyu Zhao, Lianhua Qu, Lei Wang, Quan Deng, Nan Li, Ziyang Kang, Shasha Guo, Weixia Xu

IEEE Trans. Circuits Syst. II Express Briefs, 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 Neural Architecture Search based Framework for Liquid State Machine Design.

Shuo Tian, Lianhua Qu, Kai Hu, Nan Li, Lei Wang, Weixia Xu

CoRR, 2020

Exploration of Input Patterns for Enhancing the Performance of Liquid State Machines.

Shasha Guo, Lianhua Qu, Lei Wang, Xulong Tang, Shuo Tian, Shiming Li, Weixia Xu

CoRR, 2020

CompressedCache: Enabling Storage Compression on Neuromorphic Processor for Liquid State Machine.

Zhijie Yang, Rui Gong, Lianhua Qu, Ziyang Kang, Li Luo, Lei Wang, Weixia Xu

Proceedings of the Network and Parallel Computing, 2020

Real-Time Gesture Classification System Based on Dynamic Vision Sensor.

Xiaofan Chen, Jian Wang, Limeng Zhang, Shasha Guo, Lianhua Qu, Lei Wang

Proceedings of the Neural Information Processing - 27th International Conference, 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

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Application-specific network-on-chip design space exploration framework for neuromorphic processor.

Ziyang Kang, Shiying Wang, Lei Wang, Shiming Li, Lianhua Qu, Wei Shi, Rui Gong, Weixia Xu

Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

A Software-Hardware Co-exploration Framework for Optimizing Communication in Neuromorphic Processor.

Shiying Wang, Lei Wang, Ziyang Kang, Lianhua Qu, Shiming Li, Jinshu Su

Proceedings of the Advanced Computer Architecture - 13th Conference, 2020

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 Novel Separated Pre-discharging Sense Amplifier for STT-MRAM.

Huan Li, Zhenyu Zhao, Quan Deng, Peng Li, Haoyue Tang, Lianhua Qu

Proceedings of the Computer Engineering and Technology - 20th CCF Conference, 2016