Peptide nucleic acid (PNA) binding-mediated induction of human gamma- globin gene expression. - Gan Wang; Xiaoxin Xu; Betty Pace; David A. Dean; Peter M. Glazer; Phillip Chan; Steven R. Goodman; Inna Shokolenko (Nucleic Acids Res., 1999)

An analysis of the sales and consumer preferences of e-cigarettes based on text mining of online reviews. - Guanhao Chen; Yan Wan; Xiaoxin Xu (ICSAI, 2016)

Nonvolatile Crossbar 2D2R TCAM with Cell Size of 16.3 F2 and K-means Clustering for Power Reduction. - Keji Zhou; Xiaoyong Xue; Jianguo Yang; Xiaoxin Xu; Hangbing Lv; Mingyu Wang 001; Ming-e Jing; Wenjun Liu; Xiaoyang Zeng; Steve S. Chung; Jing Li; Ming Liu 022 (A-SSCC, 2018)

A High Reliability 500 µW Resistance-to-Digital Interface Circuit for SnO2 Gas Sensor IoT Applications. - Jianguo Yang; Xiaowen Li; Qingting Ding; Xiaoyong Xue; Xiaoxin Xu; Qing Luo; Hangbing Lv; Ming Liu 022 (ASICON, 2019)

A 0.75 V reference clamping sense amplifier for low-power high-density ReRAM with dynamic pre-charge technique. - Jiahao Yin; Chunmeng Dou; Danian Dong; Jie Yu 027; Xiaoxin Xu; Qing Luo; Tiancheng Gong; Lu Tai; Peng Yuan; Xiaoyong Xue; Ming Liu 022; Hangbing Lv (IEICE Electron. Express, 2019)

A 28nm 1.5Mb Embedded 1T2R RRAM with 14.8 Mb/mm2 using Sneaking Current Suppression and Compensation Techniques. - Jianguo Yang; Xiaoyong Xue; Xiaoxin Xu; Hangbing Lv; Feng Zhang 014; Xiaoyang Zeng; Meng-Fan Chang; Ming Liu 022 (VLSI Circuits, 2020)

Effect of conductive filament morphology on soft error of oxide based Resistive Random Access Memory. - Xu Zheng; Jie Yu 027; Wenxuan Sun; Jinru Lai; Danian Dong; Guozhong Xing; Xiaoxin Xu (ICTA, 2021)

Scaling Potential Analysis for the CMOS Compatible Ox-RRAM. - Xiaoxin Xu; Wenxuan Sun; Jie Yu 027; Jinru Lai; Danian Dong; Hangbing Lv (IMW, 2021)

24.2 A 14nm-FinFET 1Mb Embedded 1T1R RRAM with a 0.022µ m2 Cell Size Using Self-Adaptive Delayed Termination and Multi-Cell Reference. - Jianguo Yang; Xiaoyong Xue; Xiaoxin Xu; Qiao Wang; Haijun Jiang; Jie Yu 027; Danian Dong; Feng Zhang 014; Hangbing Lv; Ming Liu 022 (ISSCC, 2021)

Investigation of weight updating modes on oxide-based resistive switching memory synapse towards neuromorphic computing applications. - Qingting Ding; Tiancheng Gong; Jie Yu 027; Xiaoxin Xu; Xiaoyan Li; Hangbing Lv; Jianguo Yang; Qing Luo; Peng Yuan; Feng Zhang 014; Ming Liu 022 (Sci. China Inf. Sci., 2021)

Echo state graph neural networks with analogue random resistor arrays. - Shaocong Wang; Yi Li 049; Dingchen Wang; Woyu Zhang; Xi Chen; Danian Dong; Songqi Wang; Xumeng Zhang; Peng Lin; Claudio Gallicchio; Xiaoxin Xu; Qi Liu 010; et al. (CoRR, 2021)

High-Density 3-D Stackable Crossbar 2D2R nvTCAM With Low-Power Intelligent Search for Fast Packet Forwarding in 5G Applications. - Keji Zhou; Xiaoyong Xue; Jianguo Yang; Xiaoxin Xu; Hangbing Lv; Ming-e Jing; Jing Li; Xiaoyang Zeng; Ming Liu 022 (IEEE J. Solid State Circuits, 2021)

Efficient and Robust Nonvolatile Computing-In-Memory Based on Voltage Division in 2T2R RRAM With Input-Dependent Sensing Control. - Linfang Wang; Wang Ye; Chunmeng Dou; Xin Si; Xiaoxin Xu; Jing Liu 035; Dashan Shang; Jianfeng Gao 005; Feng Zhang 014; Yongpan Liu; Meng-Fan Chang; Qi Liu 010 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A 55nm 32Mb Digital Flash CIM Using Compressed LUT Multiplier and Low Power WL Voltage Trimming Scheme for AI Edge Inference. - Hongyang Hu; Zi Wang; Xiaoxin Xu; Kai Xi; Kun Zhang; Junyu Zhang; Chunmeng Dou (APCCAS, 2022)

Machine Learning-enabled Performance Model for DNN Applications and AI Accelerator. - Ruohan Wu; Mingfan Li; Hanxi Li; Tianxiang Chen; Xinghui Tian; Xiaoxin Xu; Bin Zhou; Junshi Chen; Hong An (HPCC/DSS/SmartCity/DependSys, 2022)

3D Reservoir Computing with High Area Efficiency (5.12 TOPS/mm2) Implemented by 3D Dynamic Memristor Array for Temporal Signal Processing. - Wenxuan Sun; Woyu Zhang; Jie Yu 027; Yi Li 049; Zeyu Guo 002; Jinru Lai; Danian Dong; Xu Zheng; Fei Wang; Shaoyang Fan; Xiaoxin Xu; Dashan Shang; et al. (VLSI Technology and Circuits, 2022)

Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory. - Woyu Zhang; Shaocong Wang; Yi Li 049; Xiaoxin Xu; Danian Dong; Nanjia Jiang; Fei Wang; Zeyu Guo 002; Renrui Fang; Chunmeng Dou; Kai Ni; Zhongrui Wang; et al. (VLSI Technology and Circuits, 2022)

Mixed-Precision Continual Learning Based on Computational Resistance Random Access Memory. - Yi Li 049; Woyu Zhang; Xiaoxin Xu; Yifan He 003; Danian Dong; Nanjia Jiang; Fei Wang; Zeyu Guo 002; Shaocong Wang; Chunmeng Dou; Yongpan Liu; Zhongrui Wang; et al. (Adv. Intell. Syst., 2022)

Convolutional Echo-State Network with Random Memristors for Spatiotemporal Signal Classification. - Shaocong Wang; Hegan Chen; Woyu Zhang; Yi Li; Dingchen Wang; Shuhui Shi; Yaping Zhao; Kam Chi Loong; Xi Chen; Yujiao Dong; Yi Zhang; Yang Jiang; et al. (Adv. Intell. Syst., 2022)

Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices. - Wei Wang 209; Barak Hoffer; Tzofnat Greenberg-Toledo; Yang Li 203; Minhui Zou; Eric Herbelin; Ronny Ronen; Xiaoxin Xu; Yulin Zhao; Jianguo Yang; Shahar Kvatinsky (Adv. Intell. Syst., 2022)

State prediction using LSTM with optimized PMU deployment against DoS attacks. - Chunye Wang; Jian Sun 014; Xiaoxin Xu; Bin Zou; Min Zhang; Yang Tang; Min Zeng (J. Intell. Fuzzy Syst., 2022)

A 2D2R ReRAM CIM accelerator for multilayer perceptron in visual classification applications. - Keji Zhou; Ruijun Lin; Zhiwang Guo; Yixuan Liu; Jingwen Jiang; Chenyang Zhao; Jinbei Fang; Xiaoxin Xu; Xiaoyong Xue; Xiaoyang Zeng (Microelectron. J., 2022)

A Novel Hybrid CNN-LSTM Compensation Model Against DoS Attacks in Power System State Estimation. - Xiaoxin Xu; Jian Sun 014; Chunye Wang; Bin Zou (Neural Process. Lett., 2022)

A 13 µW Analog Front-End with RRAM-Based Lowpass FIR Filter for EEG Signal Detection. - Qirui Ren; Chengying Chen; Danian Dong; Xiaoxin Xu; Yong Chen 005; Feng Zhang 014 (Sensors, 2022)

A 0.02% Accuracy Loss Voltage-Mode Parallel Sensing Scheme for RRAM-Based XNOR-Net Application. - Yulin Zhao; Jie Yu 027; Donglin Zhang; Qiao Hu; Xuanzhi Liu; Haijun Jiang; Qingting Ding; Zhongze Han; Jinhui Cheng; Wenjun Zhang; Yue Cao; Ruixi Zhou; et al. (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Resistive memory-based zero-shot liquid state machine for multimodal event data learning. - Ning Lin; Shaocong Wang; Yi Li 049; Bo Wang 153; Shuhui Shi; Yangu He; Woyu Zhang; Yifei Yu; Yue Zhang 011; Xiaojuan Qi 001; Xiaoming Chen 003; Hao Jiang 024; et al. (CoRR, 2023)

Pruning random resistive memory for optimizing analogue AI. - Yi Li 049; Songqi Wang; Yaping Zhao; Shaocong Wang; Woyu Zhang; Yangu He; Ning Lin; Binbin Cui; Xi Chen; Shiming Zhang; Hao Jiang 024; Peng Lin; et al. (CoRR, 2023)

Random resistive memory-based deep extreme point learning machine for unified visual processing. - Shaocong Wang; Yizhao Gao 002; Yi Li 049; Woyu Zhang; Yifei Yu; Bo Wang 153; Ning Lin; Hegan Chen; Yue Zhang 011; Yang Jiang; Dingchen Wang; Jia Chen; et al. (CoRR, 2023)

High-speed and low-power embedded TEC BCH scheme for ReRAM array. - Kun Zhang; Haiyang Liu; Xu Zheng; Xiaoxin Xu; Hongyang Hu; Junyu Zhang (IEICE Electron. Express, 2023)

Echo state graph neural networks with analogue random resistive memory arrays. - Shaocong Wang; Yi Li 049; Dingchen Wang; Woyu Zhang; Xi Chen; Danian Dong; Songqi Wang; Xumeng Zhang; Peng Lin; Claudio Gallicchio; Xiaoxin Xu; Qi Liu 010; et al. (Nat. Mac. Intell., 2023)

A Security-Enhanced, Charge-Pump-Free, ISO14443-A-/ISO10373-6-Compliant RFID Tag With 16.2-μW Embedded RRAM and Reconfigurable Strong PUF. - Qirui Ren; Qiang Huo; Zhisheng Chen; Qi Gao; Yiming Wang; Yiming Yang; Hao Wu 084; Xiangqu Fu; Xiaoxin Xu; Qing Luo; Jianfeng Gao 005; Chengying Chen; et al. (IEEE Trans. Very Large Scale Integr. Syst., 2023)

An ADC-Less RRAM-Based Computing-in-Memory Macro With Binary CNN for Efficient Edge AI. - Yi Li 049; Jia Chen; Linfang Wang; Woyu Zhang; Zeyu Guo 002; Jun Wang; Yongkang Han; Zhi Li 070; Fei Wang; Chunmeng Dou; Xiaoxin Xu; Jianguo Yang; et al. (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Area-Efficient 1T-2D-2MTJ SOT-MRAM Cell for High Read Performance. - Xunming Zhang; Long Liu; Di Wang 042; Ruijun Lin; Heyong Yang; Xiaoxin Xu; Jianguo Yang; Guozhong Xing; Xiaoyong Xue; Xiaoyang Zeng (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A 28-nm RRAM Computing-in-Memory Macro Using Weighted Hybrid 2T1R Cell Array and Reference Subtracting Sense Amplifier for AI Edge Inference. - Wang Ye; Linfang Wang; Zhidao Zhou; Junjie An; Weizeng Li; Hanghang Gao; Zhi Li 062; Jinshan Yue; Hongyang Hu; Xiaoxin Xu; Jianguo Yang; Jing Liu 035; et al. (IEEE J. Solid State Circuits, 2023)

Transport mechanism in Hf0.5Zr0.5O2-based ferroelectric diodes. - Haoran Yu; Tiancheng Gong; Peng Yuan; Yuan Wang; Zhaomeng Gao; Xiaoxin Xu; Ying Sun; Ran Cheng; Jianfeng Gao 005; Junfeng Li; Bing Chen; Qing Luo (Sci. China Inf. Sci., 2023)

A 40-nm SONOS Digital CIM Using Simplified LUT Multiplier and Continuous Sample-Hold Sense Amplifier for AI Edge Inference. - Hongyang Hu; Xiwei Wang; Zi Wang; Haiyang Zhou; Danian Dong; Jinshan Yue; Wan Pang; Xiaoxin Xu; Chunmeng Dou (IEEE Trans. Very Large Scale Integr. Syst., 2023)

CMN: a co-designed neural architecture search for efficient computing-in-memory-based mixture-of-experts. - Shihao Han; Sishuo Liu; Shucheng Du; Mingzi Li; Zijian Ye; Xiaoxin Xu; Yi Li; Zhongrui Wang; Dashan Shang (Sci. China Inf. Sci., 2024)

Erratum to: CMN: a co-designed neural architecture search for efficient computing-in-memory-based mixture-of-experts. - Shihao Han; Sishuo Liu; Shucheng Du; Mingzi Li; Zijian Ye; Xiaoxin Xu; Yi Li; Zhongrui Wang; Dashan Shang (Sci. China Inf. Sci., 2024)

Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model. - Jichang Yang; Hegan Chen; Jia Chen; Songqi Wang; Shaocong Wang; Yifei Yu; Xi Chen; Bo Wang 153; Xinyuan Zhang; Binbin Cui; Yi Li 049; Ning Lin; et al. (CoRR, 2024)

Dynamic neural network with memristive CIM and CAM for 2D and 3D vision. - Yue Zhang 011; Woyu Zhang; Shaocong Wang; Ning Lin; Yifei Yu; Yangu He; Bo Wang 153; Hao Jiang 024; Peng Lin; Xiaoxin Xu; Xiaojuan Qi 001; Zhongrui Wang; et al. (CoRR, 2024)

Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy. - Yang Li 203; Wei Wang 209; Ming Wang; Chunmeng Dou; Zhengyu Ma; Huihui Zhou; Peng Zhang 077; Nicola Lepri; Xumeng Zhang; Qing Luo; Xiaoxin Xu; Guanhua Yang; et al. (Adv. Intell. Syst., 2024)

A Residual Dense Attention Generative Adversarial Network for Microscopic Image Super-Resolution. - Sanya Liu; Xiao Weng; Xingen Gao; Xiaoxin Xu; Lin Zhou 011 (Sensors, 2024)

Fully Binarized Graph Convolutional Network Accelerator Based on In-Memory Computing with Resistive Random-Access Memory. - Woyu Zhang; Zhi Li 070; Xinyuan Zhang; Fei Wang; Shaocong Wang; Ning Lin; Yi Li 049; Jun Wang; Jinshan Yue; Chunmeng Dou; Xiaoxin Xu; Zhongrui Wang; et al. (Adv. Intell. Syst., 2024)

Hardware Implementation of Next Generation Reservoir Computing with RRAM-Based Hybrid Digital-Analog System. - Danian Dong; Woyu Zhang; Yuanlu Xie; Jinshan Yue; Kuan Ren; Hongjian Huang; Xu Zheng; Wenxuan Sun; Jinru Lai; Shaoyang Fan; Hongzhou Wang; Zhaoan Yu; et al. (Adv. Intell. Syst., 2024)

Using Analytical Performance/Power Model and Fine-Grained DVFS to Enhance AI Accelerator Energy Efficiency. - Zibo Wang; Yijia Zhang 002; Fuchun Wei; Bingqiang Wang; Yanlin Liu; Zhiheng Hu; Jingyi Zhang; Xiaoxin Xu; Jian He; Xiaoliang Wang 001; Wanchun Dou; Guihai Chen; et al. (ASPLOS (1), 2025)

A monolithic 3D IGZO-RRAM-SRAM-integrated architecture for robust and efficient compute-in-memory enabling equivalent-ideal device metrics. - Shengzhe Yan; Zhaori Cong; Zi Wang; Zhuoyu Dai; Zeyu Guo 002; Zhihang Qian; Xufan Li; Xu Zheng; Chuanke Chen; Nianduan Lu; Chunmeng Dou; Guanhua Yang; et al. (Sci. China Inf. Sci., 2025)

Resistive memory-based zero-shot liquid state machine for multimodal event data learning. - Ning Lin; Shaocong Wang; Yi Li 049; Bo Wang 153; Shuhui Shi; Yangu He; Woyu Zhang; Yifei Yu; Yue Zhang 011; Xinyuan Zhang; Kwunhang Wong; Songqi Wang; et al. (Nat. Comput. Sci., 2025)

Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity. - Yanxiao Hu; Ye Sheng; Jing Huang; Xiaoxin Xu; Yuyan Yang; Mingqiang Zhang; Yabei Wu; Caichao Ye; Jiong Yang; Wenqing Zhang (CoRR, 2025)

An RRAM Digital Computing-in-Memory Macro With Dual-Mode Multiplication and Maximum Value Rounding Adder Tree. - Wang Ye; Hanghang Gao; Zhidao Zhou; Linfang Wang; Weizeng Li; Zhi Li 062; Jinshan Yue; Xiaoxin Xu; Jianguo Yang; Hongyang Hu; Chunmeng Dou (IEEE Trans. Very Large Scale Integr. Syst., 2025)