Jianshi Tang - RankMe

47 papers A 1C 2Journal 24Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	13.1 HYDAR: A 390K QPS, 1574K QPS/W Hybrid Analog/Digital Compute-in-RRAM Accelerator for Efficient Recommendation System. ISSCC Jiaming Li, Peng Yao, Xueqi Li, Zhenqi Hao, Dabin Wu, Zhouzheng Li, Haishu Xianyu, Lin Li, Shujuan You, Taiwei Chiu, Maojia Sheng, Wei Yang, Qingtian Zhang, Jianshi Tang, He Qian, Bin Gao, Huaqiang Wu
2026	—	`conf`	M3DKV: Monolithic 3D Gain Cell Memory Enabled Efficient KV Cache & Processing. ASP-DAC Jiaqi Yang, Yanbo Su, Yihan Fu, Jianshi Tang, Bonan Yan
2026	J	`jnl`	MiniBuf: An On-Chip Buffer Allocation Framework Toward Minimizing Buffer Size and Latency for Memristor-Based CNN Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ruihua Yu, Chenhuan Zou, Jiaming Li, Bin Gao, Jianshi Tang, He Qian, Huaqiang Wu
2026	J	`jnl`	Training deep physical neural networks with local physical information bottleneck. CoRR Hao Wang, Ziao Wang, Xiangpeng Liang, Han Zhao, Jianqi Hu, Junjie Jiang, Xing Fu, Jianshi Tang, Huaqiang Wu, Sylvain Gigan, Qiang Liu
2025	J	`jnl`	A 28-nm Static-Power-Free Fully Parallel RRAM-Based TD CIM Macro With 1982 TOPS/W/Bit for Edge Applications. IEEE Solid State Circuits Lett. Songtao Wei, Peng Yao, Xinying Guo, Dong Wu, Lu Jie, Qi Qin, Bin Gao, Jianshi Tang, He Qian, Sining Pan, Huaqiang Wu
2025	—	`conf`	A Precision-Adaptive ECC Strategy with Computing Fusion Decoding for Near/In-Memory Computing. IMW Pufan Xu, Peng Yao, Bin Gao, Jianshi Tang, He Qian, Huaqiang Wu
2025	J	`jnl`	A RRAM-Based CIM Design With in-Situ Transposable Computing and Hybrid-Precision Scheme for Edge Learning. IEEE Solid State Circuits Lett. Qiumeng Wei, Peng Yao, Dong Wu, Qi Qin, Bin Gao, Qingtian Zhang, Sining Pan, Jianshi Tang, He Qian, Lu Jie, Huaqiang Wu
2025	J	`jnl`	Deep Bayesian active learning using in-memory computing hardware. Nat. Comput. Sci. Yudeng Lin, Bin Gao, Jianshi Tang, Qingtian Zhang, He Qian, Huaqiang Wu
2025	C	`conf`	MTVSM-CIM: A Magnified-TMR VC-SOT-MRAM Computing-in-Memory Macro for Edge AI. ISCAS Bingqian Song, Cancheng Xiao, Fantao Gao, Jiahao Zhao, Mengzhu Li, Ziwei Han, Jianshi Tang, Huaqiang Wu, Tianxiang Nan
2025	J	`jnl`	Overcoming computational bottlenecks in large language models through analog in-memory computing. Nat. Comput. Sci. Yudeng Lin, Jianshi Tang
2024	—	`conf`	A 3.75Mb Embedded RRAM IP on 40nm High-Voltage CMOS Technology. IMW 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
2024	—	`conf`	A Dual-Gate Vertical Channel IGZO Transistor for BEOL Stackable 3D Parallel Integration for Memory and Computing Applications. VLSI Technology and Circuits Ziyi Liu, Yiwei Du, Renrong Liang, Zhigang Zhang, Liyang Pan, Jianshi Tang, Bin Gao, Qi Hu, Jun Xu, He Qian, Huaqiang Wu, Yuegang Zhang
2024	J	`jnl`	A Reconfigurable Computing-in-Memory Accelerator With Dynamic Group-Based Dataflow and Dual-Input Macro Designs. IEEE Trans. Circuits Syst. II Express Briefs Pufan Xu, Xing Mou, Bin Gao, Qiumeng Wei, Peng Yao, Jianshi Tang, He Qian, Huaqiang Wu
2024	—	`conf`	An Intelligent Memory Architecture with LPDDR4 Extensions for Edge Generative AI Inference. ICTA Zhuodong Kang, Bin Gao, Jianshi Tang, He Qian, Huaqiang Wu
2024	C	`conf`	HXNOR-PBNN: A Scalable and Parallel Spintronics Synaptic Architecture for Probabilistic Binary Neural Networks. ISCAS Cancheng Xiao, Yuxuan Ma, Dingsong Jiang, Jianle Liu, Bingqian Song, Jianshi Tang, Huaqiang Wu, Tianxiang Nan
2024	—	`conf`	Monolithic 3D Integration of Analog RRAM-Based Fully Weight Stationary and Novel CFET 2T0C-Based Partially Weight Stationary for Accelerating Transformer. VLSI Technology and Circuits H. Yang, Y. Li, Jianshi Tang, R. An, Y. Zhang, L. Gao, N. Gao, H. Xu, Y. Du, Z. Liu, X. Ma, G. Wang, C. Zhao, J. Xiang, J. Zhao, W. Bu, K. Zheng, J. Kang, Bin Gao, H. Qian, H. Wu
2024	J	`jnl`	Optimized Cryo-CMOS Technology with VTH1.2mA/um for High-Peformance Computing. CoRR Chang He, Yue Xin, Longfei Yang, Zewei Wang, Zhidong Tang, Xin Luo, Renhe Chen, Zirui Wang, Shuai Kong, Jianli Wang, Jianshi Tang, Xiaoxu Kang, Shoumian Chen, Yuhang Zhao, ShaoJian Hu, Xufeng Kou
2024	—	`conf`	Statistical Modeling of Time-Dependent Post-Programming Conductance Drift in Analog RRAM. IRPS Ruofei Hu, Jianshi Tang, Yue Xi, Zhixing Jiang, Yuyao Lu, Chengxiang Ma, Junchen Li, Bin Gao, He Qian, Huaqiang Wu
2023	J	`jnl`	A 1-Mb Programming Configurable ReRAM Fully Integrating Into a 32-Bit Microcontroller Unit. IEEE Trans. Circuits Syst. II Express Briefs Hanwen Gong, Hu He, Bin Gao, Jianshi Tang, Jian Yu, Dabin Wu, Junren Chen, Qingtian Zhang, Xing Mou, He Qian, Huaqiang Wu
2023	J	`jnl`	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 Yudeng Lin, Jianshi Tang, Bin Gao, Qi Qin, Qingtian Zhang, He Qian, Huaqiang Wu
2023	—	`conf`	A Spatial-Designed Computing-In-Memory Architecture Based on Monolithic 3D Integration for High-Performance Systems. NANOARCH Jiaming Li, Bin Gao, Ruihua Yu, Peng Yao, Jianshi Tang, He Qian, Huaqiang Wu
2023	—	`conf`	ACCLAIM: An End-to-End SystemC-AMS Simulation Framework for Analog In-Memory-Computing. ICTA Hanwen Gong, Hu He, Bin Gao, Jianshi Tang, Qingtian Zhang, He Qian, Huaqiang Wu
2023	J	`jnl`	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. Hanwen Gong, Hu He, Liyang Pan, Bin Gao, Jianshi Tang, Sining Pan, Jianing Li, Peng Yao, Dabin Wu, He Qian, Huaqiang Wu
2023	J	`jnl`	An RRAM retention prediction framework using a convolutional neural network based on relaxation behavior. Neuromorph. Comput. Eng. Yibei Zhang, Qingtian Zhang, Qi Qin, Wenbin Zhang, Yue Xi, Zhixing Jiang, Jianshi Tang, Bin Gao, He Qian, Huaqiang Wu
2023	J	`jnl`	Architecture-circuit-technology co-optimization for resistive random access memory-based computation-in-memory chips. Sci. China Inf. Sci. Yuyi Liu, Bin Gao, Jianshi Tang, Huaqiang Wu, He Qian
2023	J	`jnl`	BETTER: Bayesian-Based Training and Lightweight Transfer Architecture for Reliable and High-Speed Memristor Neural Network Deployment. IEEE Trans. Circuits Syst. II Express Briefs Yudeng Lin, Jianshi Tang, Bin Gao, Qingtian Zhang, He Qian, Huaqiang Wu
2023	J	`jnl`	CLEAR: a full-stack chip-in-loop emulator for analog RRAM based computing-in-memory system. Sci. China Inf. Sci. 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
2023	—	`conf`	Impact of Programming Process on Temperature Coefficient in Analog RRAM. ICICDT Siyao Yang, Bin Gao, Jianshi Tang, Feng Xu, Peng Yao, He Qian, Huaqiang Wu
2023	—	`conf`	Monolithic 3D Integration of FeFET, Hybrid CMOS Logic and Analog RRAM Array for Energy-Efficient Reconfigurable Computing-In-Memory Architecture. VLSI Technology and Circuits Yiwei Du, Jianshi Tang, Yijun Li, Yue Xi, Bin Gao, He Qian, Huaqiang Wu
2023	—	`conf`	Reliability of Memristive Devices for High-Performance Neuromorphic Computing: (Invited Paper). IRPS Yue Xi, Xinyi Li, Junhao Chen, Ruofei Hu, Qingtian Zhang, Zhixing Jiang, Feng Xu, Jianshi Tang
2023	—	`conf`	Thermal Induced Retention Degradation of RRAM-based Neuromorphic Computing Chips. IRPS Awang Ma, Bin Gao, Xing Mou, Peng Yao, Yiwei Du, Jianshi Tang, He Qian, Huaqiang Wu
2023	J	`jnl`	Ultralow-Power Compact Artificial Synapse Based on a Ferroelectric Fin Field-Effect Transistor for Spatiotemporal Information Processing. Adv. Intell. Syst. Zhaohao Zhang, Guohui Zhan, Weizhuo Gan, Yan Cheng, Xumeng Zhang, Yue Peng, Jianshi Tang, Fan Zhang, Jiali Huo, Gaobo Xu, Qingzhu Zhang, Zhenhua Wu, Yan Liu, Hangbing Lv, Qi Liu, Genquan Han, Huaxiang Yin, Jun Luo, Wenwu Wang
2023	J	`jnl`	Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning. Nat. Mac. Intell. 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
2022	—	`conf`	A Physical Reservoir Computing Model Based on Volatile Memristor for Temporal Signal Processing. ICECS 2022 Xiangpeng Liang, Yanan Zhong, Xinyi Li, Heyi Huang, Tingyu Li, Jianshi Tang, Bin Gao, He Qian, Huaqiang Wu, Hadi Heidari
2022	J	`jnl`	Adaptive optimal output regulation for wheel-legged robot Ollie: A data-driven approach. Frontiers Neurorobotics Jingfan Zhang, Zhaoxiang Li, Shuai Wang, Yuan Dai, Ruirui Zhang, Jie Lai, Dongsheng Zhang, Ke Chen, Jie Hu, Weinan Gao, Jianshi Tang, Yu Zheng
2022	J	`jnl`	Generic Cryo-CMOS Device Modeling and EDACompatible Platform for Reliable Cryogenic IC Design. CoRR 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
2022	J	`jnl`	Large-Scale Integrated Flexible Tactile Sensor Array for Sensitive Smart Robotic Touch. CoRR 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
2021	J	`jnl`	A Highly Reliable RRAM Physically Unclonable Function Utilizing Post-Process Randomness Source. IEEE J. Solid State Circuits Bohan Lin, Yachuan Pang, Bin Gao, Jianshi Tang, Dong Wu, Ting-Wei Chang, Wei-En Lin, Xiaoyu Sun, Shimeng Yu, Meng-Fan Chang, He Qian, Huaqiang Wu
2021	A	`conf`	An On-chip Layer-wise Training Method for RRAM based Computing-in-memory Chips. DATE Yiwen Geng, Bin Gao, Qingtian Zhang, Wenqiang Zhang, Peng Yao, Yue Xi, Yudeng Lin, Junren Chen, Jianshi Tang, Huaqiang Wu, He Qian
2021	J	`jnl`	Array-level boosting method with spatial extended allocation to improve the accuracy of memristor based computing-in-memory chips. Sci. China Inf. Sci. Wenqiang Zhang, Bin Gao, Peng Yao, Jianshi Tang, He Qian, Huaqiang Wu
2021	J	`jnl`	Diagonal Matrix Regression Layer: Training Neural Networks on Resistive Crossbars With Interconnect Resistance Effect. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yan Liao, Bin Gao, Peng Yao, Wenqiang Zhang, Jianshi Tang, Huaqiang Wu, He Qian
2021	—	`conf`	HARNS: High-level Architectural Model of RRAM based Computing-in-memory NPU. ICTA Yanhai Jiang, Bin Gao, Jianshi Tang, Dabin Wu, Hu He, He Qian, Huaqiang Wu
2021	—	`conf`	Impact of Bottom Electrode Roughness on the Analog Switching Characteristics in Nanoscale RRAM Array. DRC Wenbin Zhang, Jianshi Tang, Bin Gao, Wen Sun, Wei Liu, Kanwen Wang, Wei Wu, He Qian, Huaqiang Wu
2021	J	`jnl`	In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective. Proc. IEEE Yue Xi, Bin Gao, Jianshi Tang, An Chen, Meng-Fan Chang, Xiaobo Sharon Hu, Jan Van der Spiegel, He Qian, Huaqiang Wu
2020	—	`conf`	33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing. ISSCC Qi Liu, Bin Gao, Peng Yao, Dong Wu, Junren Chen, Yachuan Pang, Wenqiang Zhang, Yan Liao, Cheng-Xin Xue, Wei-Hao Chen, Jianshi Tang, Yu Wang, Meng-Fan Chang, He Qian, Huaqiang Wu
2020	—	`conf`	A circuit-algorithm codesign method to reduce the accuracy drop of RRAM based computing-in-memory chip. ICTA Wenqiang Zhang, Bin Gao, Peng Yao, Jianshi Tang, Huqiang Wu, He Qian
2019	—	`conf`	Reliability Perspective on Neuromorphic Computing Based on Analog RRAM. IRPS Huaqiang Wu, Meiran Zhao, Yuyi Liu, Peng Yao, Yue Xi, Xinyi Li, Wei Wu, Qingtian Zhang, Jianshi Tang, Bin Gao, He Qian