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 circuit-algorithm codesign method to reduce the accuracy drop of RRAM based computing-in-memory chip. - Wenqiang Zhang; Bin Gao 006; Peng Yao; Jianshi Tang; Huqiang Wu; He Qian (ICTA, 2020)

33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing. - Qi Liu 010; Bin Gao 006; Peng Yao; Dong Wu; Junren Chen; Yachuan Pang; Wenqiang Zhang; Yan Liao; Cheng-Xin Xue; Wei-Hao Chen; Jianshi Tang; Yu Wang 002; et al. (ISSCC, 2020)

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)

Impact of Bottom Electrode Roughness on the Analog Switching Characteristics in Nanoscale RRAM Array. - Wenbin Zhang; Jianshi Tang; Bin Gao 006; Wen Sun; Wei Liu; Kanwen Wang; Wei Wu; He Qian; Huaqiang Wu (DRC, 2021)

HARNS: High-level Architectural Model of RRAM based Computing-in-memory NPU. - Yanhai Jiang; Bin Gao 006; Jianshi Tang; Dabin Wu; Hu He 001; He Qian; Huaqiang Wu (ICTA, 2021)

Array-level boosting method with spatial extended allocation to improve the accuracy of memristor based computing-in-memory chips. - Wenqiang Zhang; Bin Gao 006; Peng Yao; Jianshi Tang; He Qian; Huaqiang Wu (Sci. China Inf. Sci., 2021)

A Highly Reliable RRAM Physically Unclonable Function Utilizing Post-Process Randomness Source. - Bohan Lin; Yachuan Pang; Bin Gao 006; Jianshi Tang; Dong Wu; Ting-Wei Chang; Wei-En Lin; Xiaoyu Sun 001; Shimeng Yu; Meng-Fan Chang; He Qian; Huaqiang Wu (IEEE J. Solid State Circuits, 2021)

In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective. - Yue Xi; Bin Gao 006; Jianshi Tang; An Chen; Meng-Fan Chang; Xiaobo Sharon Hu; Jan Van der Spiegel; He Qian; Huaqiang Wu (Proc. IEEE, 2021)

Diagonal Matrix Regression Layer: Training Neural Networks on Resistive Crossbars With Interconnect Resistance Effect. - Yan Liao; Bin Gao 006; Peng Yao; Wenqiang Zhang; Jianshi Tang; Huaqiang Wu; He Qian (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

A Physical Reservoir Computing Model Based on Volatile Memristor for Temporal Signal Processing. - Xiangpeng Liang; Yanan Zhong; Xinyi Li; Heyi Huang; Tingyu Li; Jianshi Tang; Bin Gao 006; He Qian; Huaqiang Wu; Hadi Heidari (ICECS 2022, 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)

Generic Cryo-CMOS Device Modeling and EDACompatible Platform for Reliable Cryogenic IC Design. - Zewei Wang; Zhidong Tang; Yumeng Yuan; Ao Guo; Xin Luo; Renhe Chen; Chengwei Cao; Linlin Liu; Zhenghang Zhi; Weican Wu; Yingjia Guo; Yongqi Hu; et al. (CoRR, 2022)

Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach. - Jingfan Zhang; Zhaoxiang Li; Shuai Wang 007; Yuan Dai; Ruirui Zhang; Jie Lai; Dongsheng Zhang; Ke Chen; Jie Hu; Weinan Gao; Jianshi Tang; Yu Zheng 001 (Frontiers Neurorobotics, 2022)

Impact of Programming Process on Temperature Coefficient in Analog RRAM. - Siyao Yang; Bin Gao 006; Jianshi Tang; Feng Xu; Peng Yao; He Qian; Huaqiang Wu (ICICDT, 2023)

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)

Thermal Induced Retention Degradation of RRAM-based Neuromorphic Computing Chips. - Awang Ma; Bin Gao 006; Xing Mou; Peng Yao; Yiwei Du; Jianshi Tang; He Qian; Huaqiang Wu (IRPS, 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)

A Spatial-Designed Computing-In-Memory Architecture Based on Monolithic 3D Integration for High-Performance Systems. - Jiaming Li; Bin Gao 006; Ruihua Yu; Peng Yao; Jianshi Tang; He Qian; Huaqiang Wu (NANOARCH, 2023)

Monolithic 3D Integration of FeFET, Hybrid CMOS Logic and Analog RRAM Array for Energy-Efficient Reconfigurable Computing-In-Memory Architecture. - Yiwei Du; Jianshi Tang; Yijun Li; Yue Xi; Bin Gao 006; He Qian; Huaqiang Wu (VLSI Technology and Circuits, 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)

Architecture-circuit-technology co-optimization for resistive random access memory-based computation-in-memory chips. - Yuyi Liu; Bin Gao 006; Jianshi Tang; Huaqiang Wu; He Qian (Sci. China Inf. Sci., 2023)

Ultralow-Power Compact Artificial Synapse Based on a Ferroelectric Fin Field-Effect Transistor for Spatiotemporal Information Processing. - Zhaohao Zhang; Guohui Zhan; Weizhuo Gan; Yan Cheng; Xumeng Zhang; Yue Peng; Jianshi Tang; Fan Zhang; Jiali Huo; Gaobo Xu; Qingzhu Zhang; Zhenhua Wu; et al. (Adv. Intell. Syst., 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)

An Error-Free 64KB ReRAM-Based nvSRAM Integrated to a Microcontroller Unit Supporting Real-Time Program Storage and Restoration. - Hanwen Gong; Hu He 001; Liyang Pan; Bin Gao 006; Jianshi Tang; Sining Pan; Jianing Li; Peng Yao; Dabin Wu; He Qian; Huaqiang Wu (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

An Intelligent Memory Architecture with LPDDR4 Extensions for Edge Generative AI Inference. - Zhuodong Kang; Bin Gao 006; Jianshi Tang; He Qian; Huaqiang Wu (ICTA, 2024)

A 3.75Mb Embedded RRAM IP on 40nm High-Voltage CMOS Technology. - Yuan He; Chengxiang Ma; Xiangchao Ma; Yilong Huang; Qianze Zheng; Yue Xi; Qiumeng Wei; Jianing Li; Xiaodong He; Yongqin Wu; Weihai Bu; Kai Zheng; et al. (IMW, 2024)

Statistical Modeling of Time-Dependent Post-Programming Conductance Drift in Analog RRAM. - Ruofei Hu; Jianshi Tang; Yue Xi; Zhixing Jiang; Yuyao Lu; Chengxiang Ma; Junchen Li; Bin Gao 006; He Qian; Huaqiang Wu (IRPS, 2024)

HXNOR-PBNN: A Scalable and Parallel Spintronics Synaptic Architecture for Probabilistic Binary Neural Networks. - Cancheng Xiao; Yuxuan Ma; Dingsong Jiang; Jianle Liu; Bingqian Song; Jianshi Tang; Huaqiang Wu; Tianxiang Nan (ISCAS, 2024)

A Dual-Gate Vertical Channel IGZO Transistor for BEOL Stackable 3D Parallel Integration for Memory and Computing Applications. - Ziyi Liu; Yiwei Du; Renrong Liang; Zhigang Zhang; Liyang Pan; Jianshi Tang; Renrong Liang; Bin Gao 006; Qi Hu; Jun Xu; He Qian; Huaqiang Wu; et al. (VLSI Technology and Circuits, 2024)

Monolithic 3D Integration of Analog RRAM-Based Fully Weight Stationary and Novel CFET 2T0C-Based Partially Weight Stationary for Accelerating Transformer. - H. Yang; Y. Li; Jianshi Tang; R. An; Y. Zhang; L. Gao; N. Gao; H. Xu; Y. Du; Z. Liu; X. Ma; G. Wang; et al. (VLSI Technology and Circuits, 2024)

Optimized Cryo-CMOS Technology with VTH1.2mA/um for High-Peformance Computing. - Chang He; Yue Xin; Longfei Yang; Zewei Wang; Zhidong Tang; Xin Luo; Renhe Chen; Zirui Wang; Shuai Kong; Jianli Wang; Jianshi Tang; Xiaoxu Kang; et al. (CoRR, 2024)

A Reconfigurable Computing-in-Memory Accelerator With Dynamic Group-Based Dataflow and Dual-Input Macro Designs. - Pufan Xu; Xing Mou; Bin Gao 006; Qiumeng Wei; Peng Yao; Jianshi Tang; He Qian; Huaqiang Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

A Precision-Adaptive ECC Strategy with Computing Fusion Decoding for Near/In-Memory Computing. - Pufan Xu; Peng Yao; Bin Gao 006; Jianshi Tang; He Qian; Huaqiang Wu (IMW, 2025)

MTVSM-CIM: A Magnified-TMR VC-SOT-MRAM Computing-in-Memory Macro for Edge AI. - Bingqian Song; Cancheng Xiao; Fantao Gao; Jiahao Zhao; Mengzhu Li; Ziwei Han; Jianshi Tang; Huaqiang Wu; Tianxiang Nan (ISCAS, 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)