Qingtian Zhang

According to our database, Qingtian Zhang authored at least 18 papers between 2010 and 2024.

Collaborative distances:

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

2024

Initial-Boundary Value Problems for Poiseuille Flow of Nematic Liquid Crystal via Full Ericksen-Leslie Model.

Geng Chen, Yanbo Hu, Qingtian Zhang

SIAM J. Math. Anal., 2024

2023

CLEAR: a full-stack chip-in-loop emulator for analog RRAM based computing-in-memory system.

Ruihua Yu, Wenqiang Zhang, Bin Gao, Yiwen Geng, Peng Yao, Yuyi Liu, Qingtian Zhang, Jianshi Tang, Dong Wu, Hu He, Ning Deng, He Qian, Huaqiang Wu

Sci. China Inf. Sci., December, 2023

A 1-Mb Programming Configurable ReRAM Fully Integrating Into a 32-Bit Microcontroller Unit.

Hanwen Gong, Hu He, Bin Gao, Jianshi Tang, Jian Yu, Dabin Wu, Junren Chen, Qingtian Zhang, Xing Mou, He Qian, Huaqiang Wu

IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning.

Yudeng Lin, Qingtian Zhang, Bin Gao, Jianshi Tang, Peng Yao, Chongxuan Li, Shiyu Huang, Zhengwu Liu, Ying Zhou, Yuyi Liu, Wenqiang Zhang, Jun Zhu, He Qian, Huaqiang Wu

Nat. Mac. Intell., July, 2023

BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment.

Yudeng Lin, Jianshi Tang, Bin Gao, Qingtian Zhang, He Qian, Huaqiang Wu

IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

A High-Speed and High-Efficiency Diverse Error Margin Write-Verify Scheme for an RRAM-Based Neuromorphic Hardware Accelerator.

Yudeng Lin, Jianshi Tang, Bin Gao, Qi Qin, Qingtian Zhang, He Qian, Huaqiang Wu

IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior.

Yibei Zhang, Qingtian Zhang, Qi Qin, Wenbin Zhang, Yue Xi, Zhixing Jiang, Jianshi Tang, Bin Gao, He Qian, Huaqiang Wu

Neuromorph. Comput. Eng., March, 2023

Reliability of Memristive Devices for High-Performance Neuromorphic Computing: (Invited Paper).

Yue Xi, Xinyi Li, Junhao Chen, Ruofei Hu, Qingtian Zhang, Zhixing Jiang, Feng Xu, Jianshi Tang

Proceedings of the IEEE International Reliability Physics Symposium, 2023

ACCLAIM: An End-to-End SystemC-AMS Simulation Framework for Analog In-Memory-Computing.

Hanwen Gong, Hu He, Bin Gao, Jianshi Tang, Qingtian Zhang, He Qian, Huaqiang Wu

Proceedings of the IEEE International Conference on Integrated Circuits, 2023

2022

Large-Scale Integrated Flexible Tactile Sensor Array for Sensitive Smart Robotic Touch.

Zhenxuan Zhao, Jianshi Tang, Jian Yuan, Yijun Li, Yuan Dai, Jian Yao, Qingtian Zhang, Sanchuan Ding, Tingyu Li, Ruirui Zhang, Yu Zheng, Zhengyou Zhang, Song Qiu, Qingwen Li, Bin Gao, Ning Deng, He Qian, Fei Xing, Zheng You, Huaqiang Wu

CoRR, 2022

Improving the accuracy of neural networks in analog computing-in-memory systems by analog weight.

Lingjun Dai, Qingtian Zhang, Huaqiang Wu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

An On-chip Layer-wise Training Method for RRAM based Computing-in-memory Chips.

Yiwen Geng, Bin Gao, Qingtian Zhang, Wenqiang Zhang, Peng Yao, Yue Xi, Yudeng Lin, Junren Chen, Jianshi Tang, Huaqiang Wu, He Qian

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2019

A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex.

Qingtian Zhang, Xiaolin Hu, Bo Hong, Bo Zhang

PLoS Comput. Biol., 2019

Reliability Perspective on Neuromorphic Computing Based on Analog RRAM.

Huaqiang Wu, Meiran Zhao, Yuyi Liu, Peng Yao, Yue Xi, Xinyi Li, Wei Wu, Qingtian Zhang, Jianshi Tang, Bin Gao, He Qian

Proceedings of the IEEE International Reliability Physics Symposium, 2019

2018

Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems.

Qingtian Zhang, Huaqiang Wu, Peng Yao, Wenqiang Zhang, Bin Gao, Ning Deng, He Qian

Neural Networks, 2018

2017

Generic Regularity of Conservative Solutions to Camassa-Holm Type Equations.

Mingjie Li, Qingtian Zhang

SIAM J. Math. Anal., 2017

2015

Comparison of ℓ₁-Norm SVR and Sparse Coding Algorithms for Linear Regression.

Qingtian Zhang, Xiaolin Hu, Bo Zhang

IEEE Trans. Neural Networks Learn. Syst., 2015

2010

TTHU-IMG at TRECVID 2010.

Chen Sun, Jianmin Li, Bo Zhang, Qingtian Zhang

Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010