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• 2025
• 
  [j17]
  Hao Tang,Lu Liu,Zhouzheng Li,Zhiping Jia,Qingtian Zhang:
  Reducing Influence of Noise in Regression Problems on Memristor Computing-in-Memory Chips.IEEE Access13:26411-26419 (2025)
• 
  [j16]
  Yudeng Lin,Bin Gao,Jianshi Tang,Qingtian Zhang,He Qian,Huaqiang Wu:
  Deep Bayesian active learning using in-memory computing hardware.Nat. Comput. Sci.5(1):27-36 (2025)
• 2024
• 
  [j15]
  Hongda Lu,Mengqing Zhao,Qingtian Zhang,Jiayi Yang,Zexin Chen,Liping Gong,Xiangbo Zhou,Lei Deng,Haiping Du,Shiwu Zhang,Shi-Yang Tang,Weihua Li:
  Liquid Metal Chameleon Tongues: Modulating Surface Tension and Phase Transition to Enable Bioinspired Soft Actuators.Adv. Intell. Syst.6(10) (2024)
• 
  [j14]
  Hongda Lu,Mengqing Zhao,Qingtian Zhang,Jiayi Yang,Zexin Chen,Liping Gong,Xiangbo Zhou,Lei Deng,Haiping Du,Shiwu Zhang,Shi-Yang Tang,Weihua Li:
  Liquid Metal Chameleon Tongues: Modulating Surface Tension and Phase Transition to Enable Bioinspired Soft Actuators.Adv. Intell. Syst.6(10) (2024)
• 
  [j13]
  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)
• 
  [j12]
  Yaoqi Hou,Qingtian Zhang,Namin Wang,Huaqiang Wu:
  Improving model robustness to weight noise via consistency regularization.Mach. Learn. Sci. Technol.5(3):35065 (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,Jianshi Tang,Peng Yao,Chongxuan Li,Shiyu Huang,Zhengwu Liu,Ying Zhou,Yuyi Liu,Wenqiang Zhang,Jun Zhu,He Qian,Huaqiang Wu:
  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,Qingtian Zhang,Qi Qin,Wenbin Zhang,Yue Xi,Zhixing Jiang,Jianshi Tang,Bin Gao,He Qian,Huaqiang Wu:
  An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior.Neuromorph. Comput. Eng.3(1):14011 (2023)
• 
  [j7]
  Yudeng Lin,Jianshi Tang,Bin Gao,Qi Qin,Qingtian Zhang,He Qian,Huaqiang Wu:
  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 Briefs70(4):1366-1370 (2023)
• 
  [j6]
  Yudeng Lin,Jianshi Tang,Bin Gao,Qingtian Zhang,He Qian,Huaqiang Wu:
  BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment.IEEE Trans. Circuits Syst. II Express Briefs70(6):1846-1850 (2023)
• 
  [j5]
  Hanwen Gong,Hu He,Bin Gao,Jianshi Tang,Jian Yu,Dabin Wu,Junren Chen,Qingtian Zhang,Xing Mou,He Qian,Huaqiang Wu:
  A 1-Mb Programming Configurable ReRAM Fully Integrating Into a 32-Bit Microcontroller Unit.IEEE Trans. Circuits Syst. II Express Briefs70(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.ICTA2023:134-135
• 
  [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).IRPS2023:1-7
• 2022
• 
  [c4]
  Lingjun Dai,Qingtian Zhang,Huaqiang Wu:
  Improving the accuracy of neural networks in analog computing-in-memory systems by analog weight.ICPR2022:2971-2978
• 
  [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.CoRRabs/2208.10933 (2022)
• 2021
• 
  [c3]
  Yiwen Geng,Bin Gao,Qingtian Zhang,Wenqiang Zhang,Peng Yao,Yue Xi,Yudeng Lin,Junren Chen,Jianshi Tang,Huaqiang Wu,He Qian:
  An On-chip Layer-wise Training Method for RRAM based Computing-in-memory Chips.DATE2021:248-251

• 2019
• 
  [j4]
  Qingtian Zhang,Xiaolin Hu,Bo Hong,Bo Zhang:
  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,Yuyi Liu,Peng Yao,Yue Xi,Xinyi Li,Wei Wu,Qingtian Zhang,Jianshi Tang,Bin Gao,He Qian:
  Reliability Perspective on Neuromorphic Computing Based on Analog RRAM.IRPS2019:1-4
• 2018
• 
  [j3]
  Qingtian Zhang,Huaqiang Wu,Peng Yao,Wenqiang Zhang,Bin Gao,Ning Deng,He Qian:
  Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems.Neural Networks108:217-223 (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.TRECVID2010

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