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Jianshi Tang
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2020 – today
- 2024
- [c17]Yuan He, Chengxiang Ma, Xiangchao Ma, Yilong Huang, Qianze Zheng, Yue Xi, Qiumeng Wei, Jianing Li, Xiaodong He, Yongqin Wu, Weihai Bu, Kai Zheng, Jin Kang, Jianshi Tang, Bin Gao, Dong Wu, He Qian, Huaqiang Wu:
A 3.75Mb Embedded RRAM IP on 40nm High-Voltage CMOS Technology. IMW 2024: 1-4 - [c16]Ruofei Hu, Jianshi Tang, Yue Xi, Zhixing Jiang, Yuyao Lu, Chengxiang Ma, Junchen Li, Bin Gao, He Qian, Huaqiang Wu:
Statistical Modeling of Time-Dependent Post-Programming Conductance Drift in Analog RRAM. IRPS 2024: 1-6 - [c15]Cancheng Xiao, Yuxuan Ma, Dingsong Jiang, Jianle Liu, Bingqian Song, Jianshi Tang, Huaqiang Wu, Tianxiang Nan
:
HXNOR-PBNN: A Scalable and Parallel Spintronics Synaptic Architecture for Probabilistic Binary Neural Networks. ISCAS 2024: 1-5 - [c14]Ziyi Liu, Yiwei Du, Renrong Liang, Zhigang Zhang, Liyang Pan, Jianshi Tang, Renrong Liang, Bin Gao, Qi Hu, Jun Xu, He Qian, Huaqiang Wu, Yuegang Zhang:
A Dual-Gate Vertical Channel IGZO Transistor for BEOL Stackable 3D Parallel Integration for Memory and Computing Applications. VLSI Technology and Circuits 2024: 1-2 - 2023
- [j14]Zhaohao Zhang
Ultralow-Power Compact Artificial Synapse Based on a Ferroelectric Fin Field-Effect Transistor for Spatiotemporal Information Processing. Adv. Intell. Syst. 5(11) (2023) - [j13]Yuyi Liu, Bin Gao, Jianshi Tang, Huaqiang Wu, He Qian:
Architecture-circuit-technology co-optimization for resistive random access memory-based computation-in-memory chips. Sci. China Inf. Sci. 66(10) (2023) - [j12]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) - [j11]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) - [j10]Yibei Zhang
An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior. Neuromorph. Comput. Eng. 3(1): 14011 (2023) - [j9]Hanwen Gong
An Error-Free 64KB ReRAM-Based nvSRAM Integrated to a Microcontroller Unit Supporting Real-Time Program Storage and Restoration. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 5339-5351 (2023) - [j8]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) - [j7]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) - [j6]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) - [c13]Siyao Yang, Bin Gao, Jianshi Tang, Feng Xu, Peng Yao, He Qian, Huaqiang Wu:
Impact of Programming Process on Temperature Coefficient in Analog RRAM. ICICDT 2023: 141-144 - [c12]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 - [c11]Awang Ma
Thermal Induced Retention Degradation of RRAM-based Neuromorphic Computing Chips. IRPS 2023: 1-6 - [c10]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 - [c9]Jiaming Li
A Spatial-Designed Computing-In-Memory Architecture Based on Monolithic 3D Integration for High-Performance Systems. NANOARCH 2023: 4:1-4:6 - [c8]Yiwei Du, Jianshi Tang, Yijun Li, Yue Xi, Bin Gao, He Qian, Huaqiang Wu:
Monolithic 3D Integration of FeFET, Hybrid CMOS Logic and Analog RRAM Array for Energy-Efficient Reconfigurable Computing-In-Memory Architecture. VLSI Technology and Circuits 2023: 1-2 - 2022
- [j5]Jingfan Zhang, Zhaoxiang Li, Shuai Wang, Yuan Dai, Ruirui Zhang, Jie Lai, Dongsheng Zhang, Ke Chen, Jie Hu, Weinan Gao, Jianshi Tang, Yu Zheng:
Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach. Frontiers Neurorobotics 16 (2022) - [c7]Xiangpeng Liang, Yanan Zhong, Xinyi Li, Heyi Huang, Tingyu Li, Jianshi Tang, Bin Gao, He Qian, Huaqiang Wu, Hadi Heidari:
A Physical Reservoir Computing Model Based on Volatile Memristor for Temporal Signal Processing. ICECS 2022 2022: 1-4 - [i2]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) - [i1]Zewei Wang, Zhidong Tang, Yumeng Yuan, Ao Guo, Xin Luo, Renhe Chen, Chengwei Cao, Linlin Liu, Zhenghang Zhi, Weican Wu, Yingjia Guo, Yongqi Hu, Liujiang Yu, Ganbing Shang, Jing Chen, Jianshi Tang, ShaoJian Hu, Shoumian Chen, Yuhang Zhao, Xufeng Kou:
Generic Cryo-CMOS Device Modeling and EDACompatible Platform for Reliable Cryogenic IC Design. CoRR abs/2211.05309 (2022) - 2021
- [j4]Wenqiang Zhang, Bin Gao, Peng Yao, Jianshi Tang, He Qian, Huaqiang Wu:
Array-level boosting method with spatial extended allocation to improve the accuracy of memristor based computing-in-memory chips. Sci. China Inf. Sci. 64(6) (2021) - [j3]Bohan Lin
A Highly Reliable RRAM Physically Unclonable Function Utilizing Post-Process Randomness Source. IEEE J. Solid State Circuits 56(5): 1641-1650 (2021) - [j2]Yue Xi, Bin Gao, Jianshi Tang
In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective. Proc. IEEE 109(1): 14-42 (2021) - [j1]Yan Liao
Diagonal Matrix Regression Layer: Training Neural Networks on Resistive Crossbars With Interconnect Resistance Effect. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(8): 1662-1671 (2021) - [c6]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 - [c5]Wenbin Zhang, Jianshi Tang, Bin Gao, Wen Sun, Wei Liu, Kanwen Wang, Wei Wu, He Qian, Huaqiang Wu:
Impact of Bottom Electrode Roughness on the Analog Switching Characteristics in Nanoscale RRAM Array. DRC 2021: 1-2 - [c4]Yanhai Jiang, Bin Gao, Jianshi Tang, Dabin Wu, Hu He, He Qian, Huaqiang Wu:
HARNS: High-level Architectural Model of RRAM based Computing-in-memory NPU. ICTA 2021: 35-36 - 2020
- [c3]Wenqiang Zhang, Bin Gao, Peng Yao, Jianshi Tang, Huqiang Wu, He Qian:
A circuit-algorithm codesign method to reduce the accuracy drop of RRAM based computing-in-memory chip. ICTA 2020: 108-109 - [c2]Qi Liu, Bin Gao, Peng Yao, Dong Wu, Junren Chen
33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing. ISSCC 2020: 500-502
2010 – 2019
- 2019
- [c1]Huaqiang Wu, Meiran Zhao
Reliability Perspective on Neuromorphic Computing Based on Analog RRAM. IRPS 2019: 1-4
Coauthor Index
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