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Pyramid-VAE-GAN:Transferring hierarchical latent variables for image inpainting

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Computational Visual Media 2023年第4期9卷 827-841页

作者： Huiyuan Tian li Zhang shijian li Min Yao Gang Pan College of Computer Science and Technology Zhejiang UniversityHangzhou 310027China Advanced Technology Research Institute Zhejiang UniversityHangzhou 310027China

Significant progress has been made in image inpainting methods in recent ***,they are incapable of producing inpainting results with reasonable structures,rich detail,and sharpness at the same *** this paper,we propose the Pyramid-VAE-GAN network for image inpainting to address this *** network is built on a variational autoencoder(VAE)backbone that encodes high-level latent variables to represent complicated high-dimensional prior distributions of *** prior assists in reconstructing reasonable structures when *** also adopt a pyramid structure in our model to maintain rich detail in low-level latent *** avoid the usual incompatibility of requiring both reasonable structures and rich detail,we propose a novel cross-layer latent variable transfer *** transfers information about long-range structures contained in high-level latent variables to low-level latent variables representing more detailed *** further use adversarial training to select the most reasonable results and to improve the sharpness of the *** experimental results on multiple datasets demonstrate the superiority of our *** code is available at https://***/thy960112/Pyramid-VAE-GAN.

关键词： image inpainting variational autoencoder(VAE) latent variable transfer(LTN) pyramid structure generative model

Palladium,Platinum and Gold Concentrations in Fengshan Porphyry Cu-Mo Deposit,Hubei Province,China

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Acta Geologica Sinica(English Edition) 2009年第5期83卷 893-901页

作者： WANG Minfang DENG Xiaodong BI shijian li Zhanke Faculty of Earth Resources China University of Geosciences Wuhan 430074 China

The Fengshan porphyry-skarn copper-molybdenum （Cu-Mo） deposit is located in the south-eastern Hubei Province in east China. Cu-Mo mineralization is hosted in the Fengshan granodiorite porphyry stock that intruded the Triassic Daye Formation carbonate rocks in the early Cretaceous （-140 Ma）, as well as the contact zone between granodiorite porphyry stock and carbonate rocks, forming the porphyry-type and skaru-type association. The Fengshan granodiorite stock and the immediate country rocks are strongly fractured and intensely altered by hydrothermal fluids. In addition to intense skarn alteration, the prominent alteration types are potassic, phyllic, and propylitic, whereas argiilation is less common. Mineralization occurs as veins, stock works, and disseminations, and the main ore minerals are chalcopyrite, pyrite, molybdenite, bornite, and magnetite. The contents of palladium, platinum and gold （Pd, Pt and Au） are determined in nine samples from fresh and mineralized granodiorite and different types of altered rocks. The results show that the Pd content is systematically higher than Pt, which is typical for porphyry ore deposits worldwide. The Pt content ranges from 0.037 tol.765 ppb, and the Pd content ranges between 0.165 and 17.979 ppb. Pd and Pt are more concentrated in porphyry mineralization than skarn mineralization, and have negative correlations with Au. The reconnaissance study presented here confirms the existence of Pd and Pt in the Fengshan porphyry-skarn Cu-Mo deposit. When compared with intracontinent and island arc geotectonic settings, the Pd, Pt, and Au contents in the Fengshan porphyry Cu-Mo deposit in the intracontinent is lower than the continental margin types and island are types. A combination of available data indicates that Pd and Pt were derived from oxidized alkaline magmas generated by the partial melting of an enriched mantle source.

关键词： porphyry skarn copper-molybdenum palladium platinum gold Fengshan China

Dynamic road crime risk prediction with urban open data

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Frontiers of Computer Science 2022年第1期16卷 113-125页

作者： Binbin ZHOU Longbiao CHEN Fangxun ZHOU shijian li Sha ZHAO Gang PAN College of Computer Science Zhejiang UniversityHangzhou310027China Fujian Key Laboratory of Sensing and Computing for Smart Cities School of Information Science and EngineeringXiamen UniversityXiamen361005China

Crime risk prediction is helpful for urban safety and citizens’life ***,existing crime studies focused on coarse-grained prediction,and usually failed to capture the dynamics of urban *** key challenge is data sparsity,since that 1)not all crimes have been recorded,and 2)crimes usually occur with low *** this paper,we propose an effective framework to predict fine-grained and dynamic crime risks in each road using heterogeneous urban ***,to address the issue of unreported crimes,we propose a cross-aggregation soft-impute(CASI)method to deal with possible unreported ***,we use a novel crime risk measurement to capture the crime dynamics from the perspective of influence propagation,taking into consideration of both time-varying and location-varying risk *** on the dynamically calculated crime risks,we design contextual features(i.e.,POI distributions,taxi mobility,demographic features)from various urban data sources,and propose a zero-inflated negative binomial regression(ZINBR)model to predict future crime risks in *** experiments using the real-world data from New York City show that our framework can accurately predict road crime risks,and outperform other baseline methods.

关键词： crime prediction road crime risk urban computing data sparsity zero-inflated negative binomial regression

A Monte Carlo Neural Fictitious Self-Play approach to approximate Nash Equilibrium in imperfect-information dynamic games

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Frontiers of Computer Science 2021年第5期15卷 137-150页

作者： li ZHANG Yuxuan CHEN Wei WANG Ziliang HAN shijian li Zhijie PAN Gang PAN College of Computer Science and Technology Zhejiang UniversityHangzhou 310027China

Solving the optimization problem to approach a Nash Equilibrium point plays an important role in imperfect information games,e.g.,StarCraft and *** Fictitious Self-Play(NFSP)is an effective algorithm that learns approximate Nash Equilibrium of imperfect-information games from purely self-play without prior domain ***,it needs to train a neural network in an off-policy manner to approximate the action *** games with large search spaces,the training may suffer from unnecessary exploration and sometimes fails to *** this paper,we propose a new Neural Fictitious Self-Play algorithm that combines Monte Carlo tree search with NFSP,called MC-NFSP,to improve the performance in real-time zero-sum imperfect-information *** experiments and empirical analysis,we demonstrate that the proposed MC-NFSP algorithm can approximate Nash Equilibrium in games with large-scale search depth while the NFSP can ***,we develop an Asynchronous Neural Fictitious Self-Play framework(ANFSP).It uses asynchronous and parallel architecture to collect game experience and improve both the training efficiency and policy *** experiments with th e games with hidden state information(Texas Hold^m),and the FPS(firstperson shooter)games demonstrate effectiveness of our algorithms.

关键词： approximate Nash Equilibrium imperfect-information games dynamic games Monte Carlo tree search Neural Fictitious Self-Play reinforcement learning

Prediction of urban human mobility using large-scale taxi traces and its applications

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Frontiers of Computer Science 2012年第1期6卷 111-121页

作者： Xiaolong li Gang PAN Zhaohui WU Guande QI shijian li Daqing ZHANG Wangsheng ZHANG Zonghui WANG Department of Computer Science Zhejiang UniversityHangzhou 310027China Institut TELECOM SudParis 91011 Evry CedexFrance

This paper investigates human mobility patterns in an urban taxi transportation system. This work focuses on predicting human mobility from discovering patterns of in the number of passenger pick-ups quantity （PUQ） from urban hotspots. This paper proposes an improved ARIMA based prediction method to forecast the spatial-temporal variation of passengers in a hotspot. Evaluation with a large-scale real- world data set of 4 000 taxis＇ GPS traces over one year shows a prediction error of only 5.8%. We also explore the applica- tion of the pl^di^fioti approach to help drivers find their next passetlgerS, The sinatllation results using historical real-world data demonstrate that, with our guidance, drivers can reduce the time taken and distance travelled, to find their next pas- senger＋ by 37.1% and 6.4% respectively,

关键词： urban traffic GPS traces hotspots human mo-bility prediction auto-regressive integrated moving average(ARiMA)

Taizhou’s COVID-19 prevention and control experience with telemedicine features

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Frontiers of Medicine 2020年第4期14卷 506-510页

作者： Cenyi Shao shijian li Feng Zhu Dahai Zhao Hui Shao Haixiao Chen Zhiruo Zhang School of Public Health Shanghai Jiao Tong UniversityShanghai 200025China Department of Public Health SUNY College at Old WestburyOld WestburyNY 11568USA Taizhou Enze Medical Center(Group) Taizhou Hospital of Wenzhou Medical UniversityTaizhou 317000China School of International and Public Affairs Shanghai Jiao Tong UniversityShanghai 200025China

The outbreak of coronavirus disease 2019(COVID-19)has spread rapidly around the *** of May 30,2020,a total of 84568 confirmed COVID-19 cases have been recorded in China,with a mortality rate of approximately 5.5%.Taizhou is a prefecture-level city in Zhejiang Province.A total of 146 cases were diagnosed in this epidemic,with a fatality rate of 0%.This condition is due to the establishment of an“Internet+”diagnosis and treatment model based on online medical application(APP),telemedicine,WeChat service,and consultation hotline in *** led in opening the“COVID-19 Prevention and Treatment Special line”in China,which is conducive to pre-hospital screening,suppressing social panic,and clinical *** also carried out related online lectures and popularization of *** summarize Taizhou’s COVID-19 prevention and control experience with telemedicine features,with a view to providing reference for the control of the epidemic at home and abroad.

关键词： COVID-19 telemedicine prevention experience

Protecting healthcare personnel from 2019-nCoV infection risks:lessons and suggestions

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Frontiers of Medicine 2020年第2期14卷 229-231页

作者： Zhiruo Zhang Shelan liu Mi Xiang shijian li Dahai Zhao Chaolin Huang Saijuan Chen School of Public Health Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of Infectious Diseases Zhejiang Provincial Centre for Disease Control and PreventionHangzhou 310000China Department of Public Health SUNY College at Old WestburyOld WestburyNY 11568USA School of International and Public Affairs Shanghai Jiao Tong UniversityShanghai 200025China Department of Infectious Diseases Jinyintan HospitalWuhan 430030China Key Laboratory of Medical Genomics Shanghai Institute of HematologyNational Research Center for Translational MedicineRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200025China

The outbreak of a novel coronavirus disease(COVID-19,caused by the 2019-nCoV infection)in December 2019 is one of the most severe public health emergencies since the founding of People’s Republic of China in *** personnel(HCP)nationwide are facing heavy workloads and high risk of infection,especially those who care for patients in Hubei ***,as of February 20,2020,over two thousand COVID-19 cases are confirmed among HCP from 476 hospitals nationwide,with nearly 90%of them from Hubei *** on literature search and interviews with some HCP working at Wuhan,capital city of Hubei,we have summarized some of the effective measures taken to reduce infection among HCP,and also made suggestions for improving occupational safety during an infectious disease *** experience and lessons learned should be a valuable asset for international health community to contain the ongoing COVID-19 epidemic around the world.

关键词： healthcare personnel COVID-19 infectious diseases

Comprehensive narrative review of real-world COVID-19 vaccines:viewpoints and opportunities

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Medical Review 2022年第2期2卷 169-196页

作者： Shelan liu Min Kang Na Zhao Yali Zhuang shijian li Tie Song Department of Infectious Diseases Zhejiang Provincial Centre for Disease Control and PreventionHangzhouZhejiang ProvinceChina Guangdong Provincial Centre for Disease Control and Prevention GuangzhouGuangdong ProvinceChina School of Ecology and Environment Anhui Normal UniversityWuhuAnhui ProvinceChina Department of Public Health SUNY Old WestburyNew YorkUSA Guangdong Provincial Centre for Disease Control and Prevention No.160 QunXian RoadPanyu DistrictGuangzhouGuangdong Province 511430China

Currently,people all over the world have been affected by coronavirus disease 2019(COVID-19).Fighting against COVID-19 is the top priority for all the countries and *** development of a safe and effective COVID-19 vaccine is considered the optimal way of ending the *** hundred and 44 vaccines were in development,with 149 undergoing clinical research and 35 authorized for emergency use as to March 15 of *** studies have shown the effective role of COVID-19 vaccines in preventing SARS-CoV-2 infections as well as serious and fatal COVID-19 ***,tough challenges have arisen regarding COVID-19 vaccines,including long-term immunity,emerging COVID-19 variants,and vaccine inequalities.A systematic review was performed of recent COVID-19 vaccine studies,with a focus on vaccine type,efficacy and effectiveness,and protection against SARS-CoV-2 variants,breakthrough infections,safety,deployment and vaccine strategies used in the ***,there is a need to establish a unified evaluation standard of vaccine effectiveness,monitor vaccine safety and effectiveness,along with the virological characteristics of SARS-CoV-2 variants;and determine the most useful booster *** aspects must be coordinated to ensure timely responses to beneficial or detrimental *** the future,global efforts should be directed toward effective and immediate vaccine allocations,improving vaccine coverage,SARS-CoV-2 new variants tracking,and vaccine booster development.

关键词： breakthrough infection coronavirus disease 2019 emergency use authorization mass vaccine administration SARS-CoV-2 variants vaccine type

Ce微合金化H13钢中一次碳化物的析出机理及热稳定性研究

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金属学报 2019年第12期55卷 1487-1494页

作者：黄宇成国光李世健代卫星北京科技大学钢铁冶金新技术国家重点实验室

系统研究了Ce微合金化H13热作模具钢中一次碳化物的析出机理及热稳定性。首先通过SEM以及夹杂物自动分析系统观察Ce微合金化H13钢中夹杂物的二维形貌、类型、数量及尺寸;进一步利用非水溶液电解法观察Ce微合金化H13钢中一次碳化物的三... 详细信息

系统研究了Ce微合金化H13热作模具钢中一次碳化物的析出机理及热稳定性。首先通过SEM以及夹杂物自动分析系统观察Ce微合金化H13钢中夹杂物的二维形貌、类型、数量及尺寸;进一步利用非水溶液电解法观察Ce微合金化H13钢中一次碳化物的三维形貌;随后在不同的加热温度下保温1 h研究一次碳化物的热稳定性;最后利用Factsage 7.2热力学软件计算一次碳化物的析出机理以及热稳定性。结果表明:Ce能够有效地与钢液中的O、S、P、As元素反应生成对应的夹杂物;一次碳化物的二维形貌为长条状而三维形貌为片状,两者之间差别较大;富Ti、V碳化物首先析出,随后作为富V碳化物的形核核心促进其析出,一次碳化物的三维尺寸达到50μm;富Ti、V碳化物的热稳定性明显高于富V碳化物,当加热温度达到1250℃时,富Ti、V碳化物刚开始溶解但依然存在,而富V碳化物已经完全溶解;经过加热处理后,一次碳化物的三维平均尺寸降低到10μm左右;Factsage 7.2的理论计算结果与实际观察结果基本一致。较高的加热温度可以一定程度上降低Ce微合金化H13钢中一次碳化物的危害,但不能完全去除。

关键词： H13钢稀土一次碳化物热稳定性析出机理