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| 1 | A Survey on Emerging Computing Paradigms for Big Data显示文摘The explosive growth of data volume and the ever-increasing demands of data value extraction have driven us into the era of big data. The '5V'(Variety,Velocity, Volume, Value, and Veracity) characteristics of big data pose great challenges to traditional computing paradigms and motivate the emergence of new solutions.Cloud computing is one of the representative technologies that can perform massive-scale and complex data computing by taking advantages of virtualized resources, parallel processing and data service integration with scalable data storage. However, as we are also experiencing the revolution of Internet-of-things(IoT), the limitations of cloud computing on supporting lightweight end devices significantly impede the flourish of cloud computing at the intersection of big data and IoT era. It also promotes the urgency of proposing new computing paradigms. We provide an overview on the topic of big data, and a comprehensive survey on how cloud computing as well as its related technologies can address the challenges arisen by big data.Then, we analyze the disadvantages of cloud computing when big data encounters IoT, and introduce two promising computing paradigms, including fog computing and transparent computing, to support the big data services of IoT. Finally, some open challenges and future directions are summarized to foster continued research efforts into this evolving field of study. | ZHANG Yaoxue REN Ju LIU Jiagang XU Chugui GUO Hui LIU Yaping | 2017 | Chinese Journal of Electronics2017，26，1： | 8 |
| 2 | Transparent Computing: Spatio-Temporal Extension on von Neumann Architecture for Cloud Services显示文摘The rapid advancements in hardware, software, and computer networks have facilitated the shift of the computing paradigm from mainframe to cloud computing, in which users can get their desired services anytime, anywhere, and by any means. However, cloud computing also presents many challenges, one of which is the difficulty in allowing users to freely obtain desired services, such as heterogeneous OSes and applications, via different light-weight devices. We have proposed a new paradigm by spatio-temporally extending the von Neumann architecture, called transparent computing, to centrally store and manage the commodity programs including OS codes, while streaming them to be run in non-state clients. This leads to a service-centric computing environment, in which users can select the desired services on demand, without concern for these services' administration, such as their installation, maintenance, management, and upgrade. In this paper, we introduce a novel concept, namely Meta OS, to support such program streaming through a distributed 4VP + platform. Based on this platform, a pilot system has been implemented, which supports Windows and Linux environments. We verify the effectiveness of the platform through both real deployments and testbed experiments. The evaluation results suggest that the 4VP + platform is a feasible and promising solution for the future computing infrastructure for cloud services. | Yaoxue Zhang Yuezhi Zhou | 2013 | Tsinghua Science and Technology2013，18，1： | 7 |
| 3 | SYNTHESIS OF HYDROPHILIC ZnS NANOCRYSTALS AND THEIR APPLICATION IN PHOTOCATALYTIC DEGRADATION OF DYE POLLUTANTS显示文摘Hydrophilic ZnS nanocrystals with narrow size distribution were synthesized via homogeneous precipita- tion using EDTA as stabilizer. The as-synthesized products were characterized with XRD, TEM, HRTEM and UV-Vis spectrum. UV-Vis spectra showed that ZnS nanocrystals exhibited strong quantum-confined effect with a blue shift in the band gap of light absorbance. The photocatalytic activity of these nanocrystals was also investigated for the liquid phase photocatalytic degradation of Basic Violet 5BN (BV5) dye under UV irradiation. It was found that the ZnS nanocrystals had good catalytic activity for photodegradation of BV5. | JunpingLi YaoXu YongLiu DongWu YuhanSun | 2004 | China Particuology2004，2，6： | 5 |
| 4 | A Sample-Efficient Actor-Critic Algorithm for Recommendation Diversification显示文摘Diversifying recommendation results gains benefits from satisfying user's existing interests as well as exploring novel information needs.Recently proposed Monte-Carlo based reinforcement learning method suffers from sample inefficiency,large variance,and even failing to perform well in large action space.We propose a novel actor・critic reinfbrcement learning algorithm for recommendation diversifica tion in order to solve the above mentioned problems.The actor acts as the ranking policy,while the introduced critic predicts the expected future rewards of each candidate action.The critic target is updated by full Bellman equation and the actor net work is opti mized using expected gradient in the whole action space.To further stabilize and improve the performance,we also add policy-filtered critic supervision loss.Experiments on MovieLens dataset well demonstrate the effectiveness of our approach over multiple competitive met hods. | LI Shuang YAN Yanghui REN Ju ZHOU Yuezhi ZHANG Yaoxue | 2020 | Chinese Journal of Electronics2020，29，1： | 4 |
| 5 | Multimedia Quality of Service(QoS)Classification and Negotiation Management显示文摘 | Hua Chen Yaoxue Zhang Chen Kangfu | 1998 | Chinese Journal of Electronics1998，7，1： | 1 |
| 6 | PREPARATION OF BaSO4 NANOCRYSTALS BY CONTROLLED PRECIPITATION显示文摘 | JunpingLi YaoXu DongWu YuhanSun | 2003 | China Particuology2003，1，3： | 1 |
| 7 | A knowledge-based dynamic job-scheduling in low-volume/high-variety manufacturing显示文摘 | Yaoxue Zhang Hua Chen | 1999 | Artificial Intelligence in Engineering1999，13，： | 1 |
| 8 | Transparence Computing:Concept,Architecture and Implementation显示文摘 | Zhang Yaoxue | 2004 | Chinese Journal of Electronics2004，32，12： | 1 |
| 9 | Manageable Multimedia Network Computer显示文摘 | Zhang Yaoxue Peng Yukun Zhou Yuezhi | 2003 | Chinese Journal of Electronics2003，31，12： | 1 |
| 10 | Differential Expression of Motility-Related Protein-1 Gene in Gastric Cancer and Its Premalignant Lesions显示文摘OBJECTIVE To identify genes related to gastric cancer and to analyze their expression profiles in different gastric tissues. METHODS The differentially expressed cDNA bands were assayed by fluorescent differential display from gastric cancer specimens, matched with normal gastric mucosa and premalignant lesions. The motility-related protein-1 (MRP-1/CD9) gene expression was studied by Northern blots and reverse transcription polymerase chain reaction (RT-PCR) in different kinds of gastric tissue. RESULTS A differentially expressed cDNA fragment showed lower expression in all gastric cancers compared to the normal gastric mucosa and premalignant lesions; and it was found to be homologous to the MRP-1/CD9 gene. Northern blot analysis confirmed the differential expression. RT-PCR analysis showed that the MRP-1/CD9 gene was expressed at a much lower rate in gastric cancers (0.31 +0.18) compared to the matched normal gastric tissue (0.49+0.24) and premalignant lesions (0.47+0.18)(P<0.05). Furthermore, its expression in intestinal-type of gastric cancer (0.38+0.16) was higher than that expressed in a diffuse-type of gastric cancer (0.22±0.17)(P<0.05). CCONCLUSION The MRP-1/CD9 gene expression was down-regulated in gastric cancer and its expression may be related to the carcinogenic process and histological type of gastric cancer. | YaoXu JieZheng WentianLiu JunXing YanyunLi XinGeng WeimingZhang | 2004 | Chinese Journal of Clinical Oncology2004，1，2： | 1 |
| 11 | Numerical simulation on the mixing behavior of pin unit under vibrant enhancement显示文摘 | Liu Tianlei Du Yaoxue | 2011 | Polymer-Plastics Technology and Engineering2011，50，12： | 1 |
| 12 | ZSBT: A Novel Algorithm forTracing DOS Attackers in MANETS 显示文摘 | Xin Jin Yaoxue Zhang Yi Pan | 2006 | EURASIP Journal on WirelessCommunications and Networking2006，，： | 1 |
| 13 | A Chan–Vese Model Based on the Markov Chain for Unsupervised Medical Image Segmentation显示文摘The accurate segmentation of medical images is crucial to medical care and research;however, many efficient supervised image segmentation methods require sufficient pixel level labels. Such requirement is difficult to meet in practice and even impossible in some cases, e.g., rare Pathoma images. Inspired by traditional unsupervised methods, we propose a novel Chan–Vese model based on the Markov chain for unsupervised medical image segmentation. It combines local information brought by superpixels with the global difference between the target tissue and the background. Based on the Chan–Vese model, we utilize weight maps generated by the Markov chain to model and solve the segmentation problem iteratively using the min-cut algorithm at the superpixel level.Our method exploits abundant boundary and local region information in segmentation and thus can handle images with intensity inhomogeneity and object sparsity. In our method, users gain the power of fine-tuning parameters to achieve satisfactory results for each segmentation. By contrast, the result from deep learning based methods is rigid.The performance of our method is assessed by using four Computerized Tomography(CT) datasets. Experimental results show that the proposed method outperforms traditional unsupervised segmentation techniques. | Quanwei Huang Yuezhi Zhou Linmi Tao Weikang Yu Yaoxue Zhang Li Huo Zuoxiang He | 2021 | Tsinghua Science and Technology2021，26，6： | 1 |
| 14 | Lateral Dynamics of Three-axle steering Vehicle Based Zero Vehicle Sideslip Angle Control显示文摘 | Li Yaoxu Wang Yunchao Feng Peifeng | | 0，，02： | 1 |
| 15 | CLONING AND POLYMORPHISM ANALYSIS OF GLUTAMATE-GATED CHLORIDE CHANNEL GENE OF LAODELPHAX STRIATELLUS (HEMIPTERA: DELPHACIDAE)显示文摘 | Dong Yaoxue Chen Yu Wei Qi Su Jianya Gao Congfen | 2013 | The Florida Entomologist2013，，3： | 1 |
| 16 | An Overview of TH-QoS Project显示文摘 | Hua Chen Yaoxue Zhang Chen Kangfu | 1997 | High Tech Letters1997，3，2： | 1 |
| 17 | Design high-entropy carbide ceramics from machine learning显示文摘High-entropy ceramics(HECs)have shown great application potential under demanding conditions,such as high stresses and temperatures.However,the immense phase space poses great challenges for the rational design of new high-performance HECs.In this work,we develop machine-learning(ML)models to discover high-entropy ceramic carbides(HECCs).Built upon attributes of HECCs and their constituent precursors,our ML models demonstrate a high prediction accuracy(0.982).Using the well-trained ML models,we evaluate the single-phase probability of 90 HECCs that are not experimentally reported so far.Several of these predictions are validated by our experiments.We further establish the phase diagrams for non-equiatomic HECCs spanning the whole composition space by which the single-phase regime can be easily identified.Our ML models can predict both equiatomic and non-equiatomic HECs based solely on the chemical descriptors of constituent transition-metal-carbide precursors,which paves the way for the high-throughput design of HECCs with superior properties. | Jun Zhang Biao Xu Yaoxu Xiong Shihua Ma Zhe Wang Zhenggang Wu Shijun Zhao | 2022 | npj Computational Materials2022，，1： | 0 |
| 18 | A Transparent and User-Centric Approach to Unify Resource Management and Code Scheduling of Local,Edge,and Cloud显示文摘Recently, several novel computing paradigms are proposed, e.g., fog computing and edge computing. In such more decentralized computing paradigms, the location and resource for code execution and data storage of end applications could also be optionally distributed among different places or machines. In this paper, we position that this situation requires a new transparent and usercentric approach to unify the resource management and code scheduling from the perspective of end users. We elaborate our vision and propose a software-defined code scheduling framework. The proposed framework allows the code execution or data storage of end applications to be adaptively done at appropriate machines under the help of a performance and capacity monitoring facility, intelligently improving application performance for end users. A pilot system and preliminary results show the advantage of the framework and thus the advocated vision for end users. | ZHOU Yuezhi ZHANG Di ZHANG Yaoxue | 2017 | ZTE Communications2017，15，4： | 0 |
| 19 | IoT Intelligence Empowered by End-Edge-Cloud Orchestration显示文摘To support intelligent Internet of Things(IoT)applications,such as autonomous driving,smart city surveillance,and virtual reality(VR)/augmented reality(AR),cloud services are expected to be pushed to the proximity of IoT devices for quality performance.For instance,to facilitate safe autonomous driving,the service delay of most vehicular applications is required to be within milliseconds,and any information delay may result in dangerous on-road conditions. | Yaoxue Zhang Feng Lyu Peng Yang Wen Wu Jie Gao | 2022 | China Communications2022，19，7： | 0 |
| 20 | Homo-harringtonine,highly effective against coronaviruses,is safe in treating COVID-19 by nebulization显示文摘Dear Editor,Coronaviruses have increasingly become the causal agent of epidemics in humans as well as in domesticated animals(Perlman and Mc Intosh,2020;Wu et al.,2021).Since the beginning of this century,there have been 3 such epidemics. | Huajuan Ma Haijun Wen Yaoxu Qin Shijie Wu Ge Zhang Chung-I Wu Qichun Cai | 2022 | Science China(Life Sciences)2022，65，6： | 0 |
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