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| 1 | DADS suppresses human esophageal xenograft tumors through RAF/MEK/ERK and mitoehondria dependent pathways显示文摘 | YinX Zhang J Li X | 2014 | Int J Mol Sci2014，15，12： | 1 |
| 2 | Polarization- based all-optical logic controlled-NOT, XOR, and XNOR gates employing electro-optic effect in periodically poled lithium niobate显示文摘 | Zhang Yinxing Chen Yuping Chen Xianfeng | 2011 | Applied Physics Letters2011，99，16： | 1 |
| 3 | Studyonsmallgapsleevebridgingperipheralnerveinjury显示文摘 | JiangB ZhangP ZhangD FuZ YinX Zhang H | 2006 | ArtifCellsBloodSubstitImmobilBiotechnol2006，34，： | 1 |
| 4 | Research on enterprise, applieation integration technology 显示文摘 | WEI Yinxing ZHANG Shengsheng | 2002 | Computer Integrated Manufacturing System-CIMS2002，8，8： | 1 |
| 5 | Improved properties of SBS modified asphalts with dynamic vulcanization显示文摘 | Zhang Yong Zhang Yinx | 2002 | Polym eng Aci2002，42，5： | 1 |
| 6 | Research on enterprise application integration technology 显示文摘 | WEI Yinxing ZHANG Shengshexag | 2002 | Computer Integrated Manufacturing System - CIMS2002，8，8： | 1 |
| 7 | Unleashing the power of pseudo-code for binary code similarity analysis显示文摘Code similarity analysis has become more popular due to its significant applicantions,including vulnerability detection,malware detection,and patch analysis.Since the source code of the software is difficult to obtain under most circumstances,binary-level code similarity analysis(BCSA)has been paid much attention to.In recent years,many BCSA studies incorporating Al techniques focus on deriving semantic information from binary functions with code representations such as assembly code,intermediate representations,and control flow graphs to measure the similarity.However,due to the impacts of different compilers,architectures,and obfuscations,binaries compiled from the same source code may vary considerably,which becomes the major obstacle for these works to obtain robust features.In this paper,we propose a solution,named UPPC(Unleashing the Power of Pseudo-code),which leverages the pseudo-code of binary function as input,to address the binary code similarity analysis challenge,since pseudocode has higher abstraction and is platform-independent compared to binary instructions.UPPC selectively inlines the functions to capture the full function semantics across different compiler optimization levels and uses a deep pyramidal convolutional neural network to obtain the semantic embedding of the function.We evaluated UPPC on a data set containing vulnerabilities and a data set including different architectures(X86,ARM),different optimization options(O0-O3),different compilers(GCC,Clang),and four obfuscation strategies.The experimental results show that the accuracy of UPPC in function search is 33.2%higher than that of existing methods. | Weiwei Zhang Zhengzi Xu Yang Xiao Yinxing Xue | 2023 | Cybersecurity2023，6，2： | 0 |
| 8 | Reconfigurable memristor based on SrTiO_(3) thin-film for neuromorphic computing显示文摘Neuromorphic computing aims to achieve artificial intelligence by mimicking the mechanisms of biological neurons and synapses that make up the human brain.However,the possibility of using one reconfigurable memristor as both artificial neuron and synapse still requires intensive research in detail.In this work,Ag/SrTiO_(3)(STO)/Pt memristor with low operating voltage is manufactured and reconfigurable as both neuron and synapse for neuromorphic computing chip.By modulating the compliance current,two types of resistance switching,volatile and nonvolatile,can be obtained in amorphous STO thin film.This is attributed to the manipulation of the Ag conductive filament.Furthermore,through regulating electrical pulses and designing bionic circuits,the neuronal functions of leaky integrate and fire,as well as synaptic biomimicry with spike-timing-dependent plasticity and paired-pulse facilitation neural regulation,are successfully realized.This study shows that the reconfigurable devices based on STO thin film are promising for the application of neuromorphic computing systems. | Xiaobing Yan Xu Han Ziliang Fang Zhen Zhao Zixuan Zhang Jiameng Sun Yiduo Shao Yinxing Zhang Lulu Wang Shiqing Sun Zhenqiang Guo Xiaotong Jia Yupeng Zhang Zhiyuan Guan Tuo Shi | 2023 | Frontiers of physics2023，18，6： | 0 |
| 9 | A high-speed true random number generator based on Ag/SiNx/n-Si memristor显示文摘The intrinsic variability of memristor switching behavior can be used as a natural source of randomness,this variability is valuable for safe applications in hardware,such as the true random number generator(TRNG).However,the speed of TRNG is still be further improved.Here,we propose a reliable Ag/SiNx/n-Si volatile memristor,which exhibits a typical threshold switching device with stable repeat ability and fast switching speed.This volatile-memristor-based TRNG is combined with nonlinear feedback shift register(NFSR)to form a new type of high-speed dual output TRNG.Interestingly,the bit generation rate reaches a high speed of 112 kb/s.In addition,this new TRNG passed all 15 National Institute of Standards and Technology(NIST)randomness tests without post-processing steps,proving its performance as a hardware security application.This work shows that the SiNx-based volatile memristor can realize TRNG and has great potential in hardware network security. | Xiaobing Yan Zixuan Zhang Zhiyuan Guan Ziliang Fang Yinxing Zhang Jianhui Zhao Jiameng Sun Xu Han Jiangzhen Niu Lulu Wang Xiaotong Jia Yiduo Shao Zhen Zhao Zhenqiang Guo Bing Bai | 2024 | Frontiers of physics2024，19，1： | 0 |
| 10 | Modular chaotification model with FPGA implementation显示文摘Chaotic systems are an effective tool for various applications, including information security and internet of things. Many chaotic systems may have the weaknesses of incomplete output distributions, discontinuous chaotic regions, and simple chaotic behaviors.These may result in many negative influences in practical applications utilizing chaos. To deal with these issues, this study introduces a modular chaotification model(MCM) to increase the dynamic properties of current one-dimensional(1 D) chaotic maps. To exhibit the effect of the MCM, three 1 D chaotic maps are improved using the MCM as examples. Studies of the resulting properties show the robust and complex dynamics of these improved chaotic maps. Moreover, we implement these improved chaotic maps of MCM in a field-programmable gate array hardware platform and apply them to the application of PRNG. Performance analyses verify that these chaotic maps improved by the MCM have more complicated chaotic behaviors and wider chaotic ranges than the existing and several new chaotic maps. | HUA Zhong Yun ZHOU BingHang ZHANG YinXing ZHOU YiCong | 2021 | Science China(Technological Sciences)2021，64，7： | 0 |
| 11 | A multimode-fused sensory memory system based on a robust self-assembly nanoscaffolded BaTiO3:Eu2O3 memristor显示文摘Biologically inspired neuromorphic sensory memory systems based on memristor have received a lot of attention in the booming artificial intelligence industry due to significant potential to effectively process multi-sensory signals from complex external environments.However,many memristors have significant switching parameters disperse,which is a great challenge for using memristors in bionic neuromorphic sensory memory systems.Herein,a stable ferroelectric memristor based on the Pd/BaTiO_(3):Eu2O_(3)/La0.67Sr0.33MnO_(3)grown on Silicon structure with SrTiO_(3)as buffer layer is presented.The device possesses low coercive field voltage(-1.3-2.1 V)and robust endurance characteristic(~10^(10)cycles)through optimizing the growth temperature.More importantly,an ultra-stable artificial multimodal sensory memory system with visual and tactile functions was reported for the first time by combining a pressure sensor,a photosensitive sensor,and a robotic arm.Utilizing the above system,the sensitivity value of the system is expressed by the conductance of the memristor to realize the gradual change of external stimulus,and multi signals inputs at the same time to this system have faithfully achieved sensory adaptation to multimodal sensors.This work paves the way for future development of memristor-based perception systems in efficient multisensory neural robots. | Xiaobing Yan Yinxing Zhang Ziliang Fang Yong Sun Pan Liu Jiameng Sun Xiaotong Jia Shiqing Sun Zhenqiang Guo Zhen Zhao | 2023 | InfoMat2023，5，9： | 0 |
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