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Encapsulating perovskite quantum dots into 3D COF for visible light-driven CO2 reduction

Science China Chemistry 2025年

作者： Xinxin wang Yucheng Jin Xiya Yang Qingyu Luan tianyu wang Dongdong Qi Kang wang Jianzhuang Jiang College of Chemistry and Materials Science Anhui Normal University Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Key Laboratory for Science and Application of Functional Molecular and Crystalline Materials Department of Chemistry and Chemical Engineering School of Chemistry and Biological EngineeringUniversity of Science and Technology Beijing

Lead halide perovskite quantum dots（LHP QDs） have been revealed to possess great potential in photocatalytic applications including CO2reduction, which however suffer from poor stability. Herein, a high crystalline hydrazine-linked three-dimensional（3D） covalent organic framework, USTB-17, was fabricated from the reaction between 12-connected building block and 4-connected 3,5,7-tetrakis（4-aldophenyl）-adamantane. Post-modification with Ni2+affords the metallic framework USTB-17（Ni）followed by sequential deposition of the CH3NH2PbI3（MAPbI3） perovskite QDs into its pores, generating the USTB-17（Ni）@MAPbI3composite. Powder X-ray diffraction analysis together with theoretical simulations and transmission electron microscopy discloses the crystalline nature of USTB-17, USTB-17（Ni）, and USTB-17（Ni）@MAPbI3with an unprecedented noninterpenetrated hpt topology. The close contact of QDs inside the COF pores with the Ni catalytic site locating at the pore surface of COF allows a rapid transfer of the photogenerated electrons in QDs to the Ni catalytic sites, enhancing the photocatalytic activity for CO2reduction. This endows USTB-17（Ni）@MAPbI3with efficient photocatalysis performance for photocatalytic CO2reduction with CO generation rate of 365 μmol g-1h-1and CO selectivity up to 96% under visible-light irradiation, 7 times higher than that of USTB-17（Ni）. After four cycles of reactions, the photocatalytic CO generation rate remains almost unchanged, demonstrating its excellent cycle stability.

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Toward intelligent wireless communications:Deep learning-based physical layer technologies

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Digital Communications and Networks 2021年第4期7卷 589-597页

作者： Siqi Liu tianyu wang Shaowei wang School of Electronic Science and Engineering Nanjing UniversityNanjingJiangsu210023China

Advanced technologies are required in future mobile wireless networks to support services with highly diverse requirements in terms of high data rate and reliability,low latency,and massive *** Learning(DL),one of the most exciting developments in machine learning and big data,has recently shown great potential in the study of wireless *** this article,we provide a literature review on the applications of DL in the physical ***,we analyze the limitations of existing signal processing techniques in terms of model accuracy,global optimality,and computational ***,we provide a brief review of classical DL ***,we discuss recent DL-based physical layer technologies,including both DL-based signal processing modules and end-to-end *** neural networks are used to replace a single or several conventional functional modules,whereas the objective of the latter is to replace the entire transceiver ***,we discuss the open issues and research directions of the DL-based physical layer in terms of model complexity,data quality,data representation,and algorithm reliability.

关键词： Data-driven Deep learning Physical layer Wireless communications

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High-resolution imaging through dynamic scattering media: Iterative optimization based on polarimetric characteristics

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Science China Technological Sciences 2025年第1期 82-84页

作者： Meng XIANG Kai DENG tianyu wang Jinpeng LIU Xue DONG Teli XI Fei LIU Xiaopeng SHAO School of Optoelectronic Engineering Xidian University Xi'an Key Laboratory of Computational Imaging National Key Laboratory of Infrared Detection Technologies

High-resolution imaging through randomly dynamic scattered fields and highly scattered walls is an extensively sought-after capability with potential applications in various fields such as underwater imaging, biomedical imaging, and seeing through fog. Numerous methods have been proposed to unscramble object information from degraded scattered images, resulting in considerable improvements in image contrast in degraded scenarios [1].

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Exploiting global information in complex network repair processes

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Chinese Journal of Aeronautics 2017年第3期30卷 1086-1100页

作者： tianyu wang Jun ZHANG Sebastian WANDELT School of Electronic and Information Engineering Beihang University 100083 Beijing ChinaBeoing Key Laboratory Jor Network-based Cooperative ATM 100083 Beijing China

Robustness of complex networks has been studied for decades,with a particular focus on network *** on network repair,on the other hand,has been conducted only very lately,given the even higher complexity and absence of an effective evaluation metric.A recently proposed network repair strategy is self-healing,which aims to repair networks for larger components at a low cost only with local *** this paper,we discuss the effectiveness and efficiency of self-healing,which limits network repair to be a multi-objective optimization problem and makes it difficult to measure its *** leads us to a new network repair evaluation *** the time complexity of the computation is very high,we devise a greedy ranking *** on both real-world and random networks show the effectiveness of our new metric and repair *** study contributes to optimal network repair algorithms and provides a gold standard for future studies on network repair.

关键词： Complex network Global information Greedy ranking Optimality Self-healing

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Blockchain-Assisted Unsupervised Learning Method for Crowdsourcing Reputation Management

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2297-2314页

作者： tianyu wang Kongyang Chen Department of Cyberspace Security Guangzhou UniversityGuangzhou51006China Institute of Artificial Intelligence Guangzhou UniversityGuangzhou51006China Center of Young Scholars Pazhou LabGuangzhou510335China

Crowdsourcing holds broad applications in information acquisition and dissemination,yet encounters challenges pertaining to data quality assessment and user reputation *** mechanisms stand as crucial solutions for appraising and updating participant reputation scores,thereby elevating the quality and dependability of crowdsourced ***,these mechanisms face several challenges in traditional crowdsourcing systems:1)platform security lacks robust guarantees and may be susceptible to attacks;2)there exists a potential for large-scale privacy breaches;and 3)incentive mechanisms relying on reputation scores may encounter issues as reputation updates hinge on task demander evaluations,occasionally lacking a dedicated reputation update *** paper introduces a reputation update scheme tailored for crowdsourcing,with a focus on proficiently overseeing participant reputations and alleviating the impact of malicious activities on the sensing ***,the reputation update scheme is determined by an Empirical Cumulative distribution-based Outlier Detection method(ECOD).Our scheme embraces a blockchain-based crowdsourcing framework utilizing a homomorphic encryption method to ensure data transparency and *** of user reputation scores relies on their behavioral history,actively discouraging undesirable ***,we introduce a dynamic weight incentive mechanism that mirrors alterations in participant reputation,enabling the system to allocate incentives based on user behavior and *** scheme undergoes evaluation on 11 datasets,revealing substantial enhancements in data credibility for crowdsourcing systems and a reduction in the influence of malicious *** research not only presents a practical solution for crowdsourcing reputation management but also offers valuable insights for future research and applications,holding promise for fostering more reliable and high-quality data collection in

关键词： Crowdsourcing reputation management blockchain

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Machine Learning for 5G and Beyond:From ModelBased to Data-Driven Mobile Wireless Networks

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China Communications 2019年第1期16卷 165-175页

作者： tianyu wang Shaowei wang Zhi-Hua Zhou National Key Laboratory for Novel Software Technology Nanjing University School of Electronic Science and Engineering Nanjing University

During the past few decades,mobile wireless communications have experienced four generations of technological revolution,namely from 1 G to 4 G,and the deployment of the latest 5 G networks is expected to take place in *** fundamental question is how we can push forward the development of mobile wireless communications while it has become an extremely complex and sophisticated *** believe that the answer lies in the huge volumes of data produced by the network itself,and machine learning may become a key to exploit such *** this paper,we elaborate why the conventional model-based paradigm,which has been widely proved useful in pre-5 G networks,can be less efficient or even less practical in the future 5 G and beyond mobile ***,we explain how the data-driven paradigm,using state-of-the-art machine learning techniques,can become a promising *** last,we provide a typical use case of the data-driven paradigm,i.e.,proactive load balancing,in which online learning is utilized to adjust cell configurations in advance to avoid burst congestion caused by rapid traffic changes.

关键词： mobile wireless networks data-driven paradigm machine learning

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Mobility-driven user-centric AP clustering in mobile edge computing-based ultra-dense networks

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Digital Communications and Networks 2020年第2期6卷 210-216页

作者： Shuxin He tianyu wang Shaowei wang School of Electronic Science and Engineering Nanjing UniversityNanjing210000China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China

ultra-Dense Network(UDN)has been envisioned as a promising technology to provide high-quality wireless connectivity in dense urban areas,in which the density of Access Points(APs)is increased up to the point where it is comparable with or surpasses the density of active mobile *** order to mitigate inter-AP interference and improve spectrum efficiency,APs in UDNs are usually clustered into multiple groups to serve different mobile users,***,as the number of APs increases,the computational capability within an AP group has become the bottleneck of AP *** this paper,we first propose a novel UDN architecture based on Mobile Edge Computing(MEC),in which each MEC server is associated with a user-centric AP cluster to act as a mobile *** addition,in the context of MEC-based UDN,we leverage mobility prediction techniques to achieve a dynamic AP clustering scheme,in which the cluster structure can automatically adapt to the dynamic distribution of user traffic in a specific *** results show that the proposed scheme can highly increase the average user throughput compared with the baseline algorithm using max-SINR user association and equal bandwidth allocation,while it guarantees at the same time low transmission delay.

关键词： AP clustering Dynamic user traffic Mobile edge computing Mobility-driven ultra-dense Networks

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Effects of multiple dynamic processes on chlorophyll variation in the Luzon Strait in summer 2019 based on glider observation

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Journal of Oceanology and Limnology 2023年第2期41卷 469-481页

作者： Xiangpeng wang Yan DU Yuhong ZHANG tianyu wang State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China College of Marine Science University of Chinese Academy of SciencesBeijing 100049China Guangdong Key Laboratory of Ocean Remote Sensing South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China

Luzon Strait is the main channel connecting the South China Sea(SCS)and the western Pacific,with complex atmospheric and oceanic dynamic *** on 44 days of glider measurements and satellite observations,we investigated the temporal and vertical variations of chlorophyll-a(Chl-a)concentration in the Luzon Strait from July 25 to September 6,*** Chl a was mainly distributed above 200 m and concentrated in the subsurface chlorophyll maximum(SCM)*** depth of SCM ranged between 50 m and 110 m,and the magnitude of SCM varied from 0.42 mg/m3 to 1.12 mg/*** variation of Chl a was identified with three stages responding to different dynamic *** the influence of Kuroshio intrusion,the SCM depth sharply deepened,and its magnitude decreased in Stage ***,a prominent Chl-a bloom was observed in the SCM layer from August 6 to August *** Chl-a bloom in Stage 2 was related to the influence of a cyclonic eddy,which uplifted of the thermocline and thus the deep *** Stage 3,prolonged heavy rainfall in the northeastern SCS resulted in a significant salinity decrease in the upper *** convergence of upper water deepened the thermocline and the mixed ***,the Chl a decreased in the SCM layer but increased in the surface *** particular,a typhoon passed through the Luzon Strait on August 24,which induced the Chl a increase in the upper 50 ***,there was little change in the depth-integrated Chl a(0-200 m),indicating that the Chl a increase in the surface layer was likely associated with physical entrainment of SCM caused by strong mixing,rather than the phytoplankton bloom in the upper water *** gliders provide frequent autonomous observations that help us understand the regional ocean’s complex dynamic processes and biological responses.

关键词： Luzon Strait glider observations chlorophyll a Kuroshio cyclonic eddy typhoon

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Mission scheduling of multi-sensor collaborative observation for space surveillance network

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Journal of Systems Engineering and Electronics 2023年第4期34卷 906-923页

作者： LONG Xi CAI Weiwei YANG Leping wang tianyu College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China School of Traffic and Transportation Engineering Central South UniversityChangsha 410073China

With increased dependence on space assets,scheduling and tasking of the space surveillance network(SSN)are vitally *** multi-sensor collaborative observation scheduling(MCOS)problem is a multi-constraint and high-conflict complex combinatorial optimization problem that is nondeterministic polynomial(NP)-*** research establishes a sub-time window constraint satisfaction problem(STWCSP)model with the objective of maximizing observation *** the significant effect of genetic algorithms(GA)on solving the problem of resource allocation,an evolution heuristic(EH)algorithm containing three strategies that focus on the MCOS problem is *** each case,a task scheduling sequence is first obtained via an improved GA with penalty(GAPE)algorithm,and then a mission planning algorithm(heuristic rule)is used to determine the specific observation *** to the model without sub-time windows and some other algorithms,a series of experiments illustrate the STWCSP model has better performance in terms of total *** about strategy and parameter sensitivity validate its excellent performance in terms of EH algorithms.

关键词： multi-sensor observation resource scheduling subtime window evolution heuristic algorithm

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The regime shift in the 1960s and associated atmospheric change over the southern Indian Ocean

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Acta Oceanologica Sinica 2017年第1期36卷 1-8页

作者： wang tianyu DU Yan LIAO Xiaomei State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China University of Chinese Academy of Sciences Beijing 100049China

The change of sea surface temperature（SST） in the southern Indian Ocean（SIO） during the recent six decades has been analyzed based on oceanic reanalysis and model, as well as atmospheric data. The results show that a thermal regime shift in SIO during the 1960 s, which is not caught enough attentions, has been of equal magnitude to the linear warming since 1970. Empirical Orthogonal Function（EOF） analyses reveal that a thermal shift is combined with atmospheric changes such as the weakening of westerly during the period of 1960–1967. Inner dynamic connections can be defined that when the westerly winds turn weak, the anticyclonic wind circulation between westerly winds and the trade winds decreases, which further reduces the SST to a negative peak in this period. It is noted that the shifts in the 1960 s are also evident for Southern Hemisphere. For example, subtropical high and the entire westerly winds belt at high latitudes both change dramatically in the 1960 s. This large-scaled process maybe link to the change of southern annular mode（SAM）.

关键词： sea surface temperature regime shift southern Indian Ocean interdecadal variabilities linear trend

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