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您的检索式：作者名="Junping Wan"
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| 1 | Randomized, three‐arm study to optimize lamivudine efficacy in hepatitis B e antigen‐positive chronic hepatitis B patients显示文摘 | Xieer Liang Jun Cheng Yongtao Sun Xinyue Chen Tong Li Hao Wang Jianning Jiang Xiaoping Chen Hui Long Hong Tang Yanyan Yu Jifang Sheng Shijun Chen Junqi Niu Hong Ren Junping Shi Xiaoguang Dou Mobin Wan Jiaji Jiang Qing Xie Guangfeng Shi Qin Ning Chengwei C | 2015 | J Gastroenterol Hepatol2015，，4： | 1 |
| 2 | A Comparative Study of Supervised Learning as Applied to Acronym Expansion in Clinical Repo 显示文摘 | Mou Shumin Wei Junping Liu Fang Wan Xiuzhi Cao Aimei Liu Yajun Wang Jia Chen Liang Liu Do | 2008 | Sichuan2008，，11： | 1 |
| 3 | The origin and accumulation model of crude oils from oil reservoirs Chang 9 and Chang 10 in the Yanchang Formation of the Ordos Basin显示文摘In the lower parts of oil reservoirs Chang 9 and Chang 10 of the Yanchang Formation are oil-bearing layers newly found in oil exploration in the Ordos Basin.Based on GC,GC-MS analyses of saturated hydrocarbons from crude oils and source rocks,reservoir fluid inclusions and BasinMod,the origin of crude oils,accumulation period and accumulation models are discussed in combination with other petroleum geology data in this paper.The result shows that(1) there are two different types of crude oils in oil reservoir Chang 9 in the Longdong and Jiyuan regions:crude oils of typeⅠ(Well D86,Well A44,Well A75,Well B227,Well X62 and Well Z150) are mainly de-rived from the Chang 7 source rocks(including mudstones and shales) and distributed in the Jiyuan and Longdong regions;those of typeⅡ(Well Z14 and Well Y427),are distributed in the Longdong region,which are derived from the Chang 9 source rocks.Crude oils from oil reservoir Chang 10 in the Shanbei region are mainly derived from the Chang-9 source rocks;(2) there are two phases of hydrocarbon filling in oil reservoir Chang 9 in the Jiyuan and Longdong regions and oil reservoir Chang 10 in the Shanbei region:The first phase started at the early stage of J2z.The process of hydrocarbon filling was discontinuous in the Late Jurassic,because of the tectonic-thermal event in the Ordos Basin.The second phase was the main accumulation period,and hydrocarbons began to accumulate from the late stage of J2a to the middle-late of K1,mainly at the middle-late stage of K1;(3) there exist two types of accu-mulation models in oil reservoirs Chang 9 and Chang 10 of the Yanchang Formation:source rocks of the reservoirs in oil reservoir Chang 9 in the Jiyuan region and oil reservoir Chang 10 in the Shanbei region,the mixed type of reservoirs on the lateral side of source rocks and source rocks of the reservoirs in oil reservoir Chang 9 in the Long-dong region. | HUANG Junping LI Xiangbo CHEN Qilin YANG Zhanlong WAN Yanrong WEI Lihua LONG Liwen LIU Xiaoguang | 2012 | Chinese Journal Of Geochemistry2012，31，3： | 1 |
| 4 | A blockchain-based audit approach for encrypted data in federated learning显示文摘The development of data-driven artificial intelligence technology has given birth to a variety of big data applications.Data has become an essential factor to improve these applications.Federated learning,a privacy-preserving machine learning method,is proposed to leverage data from different data owners.It is typically used in conjunction with cryptographic methods,in which data owners train the global model by sharing encrypted model updates.However,data encryption makes it difficult to identify the quality of these model updates.Malicious data owners may launch attacks such as data poisoning and free-riding.To defend against such attacks,it is necessary to find an approach to audit encrypted model updates.In this paper,we propose a blockchain-based audit approach for encrypted gradients.It uses a behavior chain to record the encrypted gradients from data owners,and an audit chain to evaluate the gradients’quality.Specifically,we propose a privacy-preserving homomorphic noise mechanism in which the noise of each gradient sums to zero after aggregation,ensuring the availability of aggregated gradient.In addition,we design a joint audit algorithm that can locate malicious data owners without decrypting individual gradients.Through security analysis and experimental evaluation,we demonstrate that our approach can defend against malicious gradient attacks in federated learning. | Zhe Sun Junping Wan Lihua Yin Zhiqiang Cao Tianjie Luo Bin Wang | 2022 | Digital Communications and Networks2022，8，5： | 0 |
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