TTHU-IMG at TRECVID 2010. - Chen Sun; Jianmin Li 001; Bo Zhang 010; Qingtian Zhang (TRECVID, 2010)

Comparison of ℓ1-Norm SVR and Sparse Coding Algorithms for Linear Regression. - Qingtian Zhang; Xiaolin Hu 001; Bo Zhang 010 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Generic Regularity of Conservative Solutions to Camassa-Holm Type Equations. - Mingjie Li; Qingtian Zhang (SIAM J. Math. Anal., 2017)

Sign backpropagation: An on-chip learning algorithm for analog RRAM neuromorphic computing systems. - Qingtian Zhang; Huaqiang Wu; Peng Yao; Wenqiang Zhang; Bin Gao 006; Ning Deng 008; He Qian (Neural Networks, 2018)

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 006; He Qian (IRPS, 2019)

A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. - Qingtian Zhang; Xiaolin Hu 001; Bo Hong; Bo Zhang 010 (PLoS Comput. Biol., 2019)

An On-chip Layer-wise Training Method for RRAM based Computing-in-memory Chips. - Yiwen Geng; Bin Gao 006; Qingtian Zhang; Wenqiang Zhang; Peng Yao; Yue Xi; Yudeng Lin; Junren Chen; Jianshi Tang; Huaqiang Wu; He Qian (DATE, 2021)

Improving the accuracy of neural networks in analog computing-in-memory systems by analog weight. - Lingjun Dai; Qingtian Zhang; Huaqiang Wu (ICPR, 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 001; Zhengyou Zhang; et al. (CoRR, 2022)

ACCLAIM: An End-to-End SystemC-AMS Simulation Framework for Analog In-Memory-Computing. - Hanwen Gong; Hu He 001; Bin Gao 006; Jianshi Tang; Qingtian Zhang; He Qian; Huaqiang Wu (ICTA, 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 (IRPS, 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 006; He Qian; Huaqiang Wu (Neuromorph. Comput. Eng., 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 006; Qi Qin; Qingtian Zhang; He Qian; Huaqiang Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment. - Yudeng Lin; Jianshi Tang; Bin Gao 006; Qingtian Zhang; He Qian; Huaqiang Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. - Yudeng Lin; Qingtian Zhang; Bin Gao 006; Jianshi Tang; Peng Yao; Chongxuan Li; Shiyu Huang 001; Zhengwu Liu; Ying Zhou; Yuyi Liu; Wenqiang Zhang; Jun Zhu 001; et al. (Nat. Mac. Intell., 2023)

A 1-Mb Programming Configurable ReRAM Fully Integrating Into a 32-Bit Microcontroller Unit. - Hanwen Gong; Hu He 001; Bin Gao 006; Jianshi Tang; Jian Yu; Dabin Wu; Junren Chen; Qingtian Zhang; Xing Mou; He Qian; Huaqiang Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

CLEAR: a full-stack chip-in-loop emulator for analog RRAM based computing-in-memory system. - Ruihua Yu; Wenqiang Zhang; Bin Gao 006; Yiwen Geng; Peng Yao; Yuyi Liu; Qingtian Zhang; Jianshi Tang; Dong Wu; Hu He 001; Ning Deng 008; He Qian; et al. (Sci. China Inf. Sci., 2023)

A New Fingerprint and Graph Hybrid Neural Network for Predicting Molecular Properties. - Qingtian Zhang; Dangxin Mao; Yusong Tu; Yuan-Yan Wu (J. Chem. Inf. Model., 2024)

Improving model robustness to weight noise via consistency regularization. - Yaoqi Hou; Qingtian Zhang; Namin Wang; Huaqiang Wu (Mach. Learn. Sci. Technol., 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)

Liquid Metal Chameleon Tongues: Modulating Surface Tension and Phase Transition to Enable Bioinspired Soft Actuators. - 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 001 (Adv. Intell. Syst., 2024)

Reducing Influence of Noise in Regression Problems on Memristor Computing-in-Memory Chips. - Hao Tang; Lu Liu; Zhouzheng Li; Zhiping Jia; Qingtian Zhang (IEEE Access, 2025)

Deep Bayesian active learning using in-memory computing hardware. - Yudeng Lin; Bin Gao 006; Jianshi Tang; Qingtian Zhang; He Qian; Huaqiang Wu (Nat. Comput. Sci., 2025)