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Qingtian Zhang
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2020 – today
- 2024
- [j12]Qingtian Zhang, Dangxin Mao, Yusong Tu, Yuan-Yan Wu
:
A New Fingerprint and Graph Hybrid Neural Network for Predicting Molecular Properties. J. Chem. Inf. Model. 64(15): 5853-5866 (2024) - [j11]Geng Chen, Yanbo Hu, Qingtian Zhang:
Initial-Boundary Value Problems for Poiseuille Flow of Nematic Liquid Crystal via Full Ericksen-Leslie Model. SIAM J. Math. Anal. 56(2): 1809-1850 (2024) - 2023
- [j10]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:
CLEAR: a full-stack chip-in-loop emulator for analog RRAM based computing-in-memory system. Sci. China Inf. Sci. 66(12) (2023) - [j9]Yudeng Lin, Qingtian Zhang, Bin Gao
Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. Nat. Mac. Intell. 5(7): 714-723 (2023) - [j8]Yibei Zhang
An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior. Neuromorph. Comput. Eng. 3(1): 14011 (2023) - [j7]Yudeng Lin
A High-Speed and High-Efficiency Diverse Error Margin Write-Verify Scheme for an RRAM-Based Neuromorphic Hardware Accelerator. IEEE Trans. Circuits Syst. II Express Briefs 70(4): 1366-1370 (2023) - [j6]Yudeng Lin
BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment. IEEE Trans. Circuits Syst. II Express Briefs 70(6): 1846-1850 (2023) - [j5]Hanwen Gong
A 1-Mb Programming Configurable ReRAM Fully Integrating Into a 32-Bit Microcontroller Unit. IEEE Trans. Circuits Syst. II Express Briefs 70(8): 2734-2738 (2023) - [c6]Hanwen Gong, Hu He, Bin Gao, Jianshi Tang, Qingtian Zhang, He Qian, Huaqiang Wu:
ACCLAIM: An End-to-End SystemC-AMS Simulation Framework for Analog In-Memory-Computing. ICTA 2023: 134-135 - [c5]Yue Xi, Xinyi Li, Junhao Chen, Ruofei Hu, Qingtian Zhang, Zhixing Jiang, Feng Xu, Jianshi Tang:
Reliability of Memristive Devices for High-Performance Neuromorphic Computing: (Invited Paper). IRPS 2023: 1-7 - 2022
- [c4]Lingjun Dai, Qingtian Zhang, Huaqiang Wu:
Improving the accuracy of neural networks in analog computing-in-memory systems by analog weight. ICPR 2022: 2971-2978 - [i1]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:
Large-Scale Integrated Flexible Tactile Sensor Array for Sensitive Smart Robotic Touch. CoRR abs/2208.10933 (2022) - 2021
- [c3]Yiwen Geng, Bin Gao, Qingtian Zhang, Wenqiang Zhang, Peng Yao, Yue Xi, Yudeng Lin, Junren Chen
An On-chip Layer-wise Training Method for RRAM based Computing-in-memory Chips. DATE 2021: 248-251
2010 – 2019
- 2019
- [j4]Qingtian Zhang, Xiaolin Hu
A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. PLoS Comput. Biol. 15(2) (2019) - [c2]Huaqiang Wu, Meiran Zhao
Reliability Perspective on Neuromorphic Computing Based on Analog RRAM. IRPS 2019: 1-4 - 2018
- [j3]Qingtian Zhang
Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems. Neural Networks 108: 217-223 (2018) - 2017
- [j2]Mingjie Li, Qingtian Zhang:
Generic Regularity of Conservative Solutions to Camassa-Holm Type Equations. SIAM J. Math. Anal. 49(4): 2920-2949 (2017) - 2015
- [j1]Qingtian Zhang, Xiaolin Hu, Bo Zhang:
Comparison of ℓ1-Norm SVR and Sparse Coding Algorithms for Linear Regression. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1828-1833 (2015) - 2010
- [c1]Chen Sun, Jianmin Li, Bo Zhang, Qingtian Zhang:
TTHU-IMG at TRECVID 2010. TRECVID 2010
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