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A Reinforcement Learning Based Approach to Partition Testing
《Journal of Computer Science & Technology》2025年第1期99-118,共20页Chang-Ai Sun Ming-Jun Xiao He-Peng Dai Huai Liu 
supported by the National Natural Science Foundation of China under Grant Nos.62272037 and 61872039;the Beijing Natural Science Foundation under Grant No.4162040;the Aeronautical Science Foundation of China under Grant No.2016ZD74004;the Fundamental Research Funds for the Central Universities of China under Grant No.FRF-GF-19-B19;the Australian Research Council Discovery Project under Grant No.DP210102447.
Partition testing is one of the most fundamental and popularly used software testing techniques.It first divides the input domain of the program under test into a set of disjoint partitions,and then creates test cases...
关键词：partition testing reinforcement learning temporal-difference learning intelligent software engineering 
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems被引量：1
《Journal of Computer Science & Technology》2023年第6期1203-1222,共20页刘嘉聿 汪飞 马海平 黄振亚 刘淇 陈恩红 苏喻 
supported by the National Key Research and Development Program of China under Grant No.2021YFF0901003;the National Natural Science Foundation of China under Grant Nos.U20A20229,61922073,and 62106244;the Natural Science Foundation of Anhui Province of China under Grant No.2108085QF272.
Cognitive diagnosis is an important issue of intelligent education systems,which aims to estimate students'proficiency on specific knowledge concepts.Most existing studies rely on the assumption of static student stat...
关键词：cognitive diagnosis probabilistic graphical model item response theory(IRT) stochastic process expectation maximization(EM)algorithm 
Motion-Inspired Real-Time Garment Synthesis with Temporal-Consistency
《Journal of Computer Science & Technology》2023年第6期1356-1368,共13页魏育坤 石敏 冯文科 朱登明 毛天露 
supported by the National Natural Science Foundation of China under Grant No.61972379.
Synthesizing garment dynamics according to body motions is a vital technique in computer graphics.Physics-based simulation depends on an accurate model of the law of kinetics of cloth,which is time-consuming,hard to i...
关键词：clothing animation computer graphics TRANSFORMER temporal consistency 
PESTA: An Elastic Motion Capture Data Retrieval Method
《Journal of Computer Science & Technology》2023年第4期867-884,共18页蒋子飞 李伟 黄艳 尹义龙 郭宗杰 彭京亮 
supported by Shandong Provincial Natural Science Foundation of China under Grant No.ZR2022MF294.
Prevalent use of motion capture(MoCap)produces large volumes of data and MoCap data retrieval becomes crucial for efficient data reuse.MoCap clips may not be neatly segmented and labeled,increasing the difficulty of r...
关键词：motion capture(MoCap) content-based retrieval adversarial autoencoder temporal alignment 
I/O Efficient Early Bursting Cohesive Subgraph Discovery in Massive Temporal Networks
《Journal of Computer Science & Technology》2022年第6期1337-1355,共19页Yuan Li Jie Dai Xiao-Lin Fan Yu-Hai Zhao Guo-Ren Wang 
the National Natural Science Foundation of China under Grant Nos.61902004,61772124,61732003,and 61977001;the Project of Beijing Municipal Education Commission under Grant No.KM202010009009;Innovative Talents of Higher Education in Liaoning Province under Grant No.LR2020076;the Basic Research Operating Funds for National Defense Major Incubation Projects under Grant No.N2116017.
Temporal networks are an effective way to encode temporal information into graph data losslessly.Finding the bursting cohesive subgraph(BCS),which accumulates its cohesiveness at the fastest rate,is an important probl...
关键词：early bursting cohesive subgraph(EBCS) I/O efficient algorithm semi-external model temporal network 
Discovering Cohesive Temporal Subgraphs with Temporal Density Aware Exploration
《Journal of Computer Science & Technology》2022年第5期1068-1085,共18页Chun-Xue Zhu Long-Long Lin Ping-Peng Yuan Hai Jin 
The work was supported by the National Key Research and Development Program of China under Grant No.2018YFB1402802;the National Natural Science Foundation of China under Grant Nos.61932004 and 62072205.
Real-world networks,such as social networks,cryptocurrency networks,and e-commerce networks,always have occurrence time of interactions between nodes.Such networks are typically modeled as temporal graphs.Mining cohes...
关键词：temporal network temporal feature distribution cohesive subgraph convex property 
Accumulative Time Based Ranking Method to Reputation Evaluation in Information Networks
《Journal of Computer Science & Technology》2022年第4期960-974,共15页Hao Liao Qi-Xin Liu Ze-Cheng Huang Ke-Zhong Lu Chi Ho Yeung Yi-Cheng Zhang 
This work was supported by the National Natural Science Foundation of China under Grant No.61803266;the Natural Science Foundation of Guangdong Province of China under Grant Nos.2019A1515011173 and 2019A1515011064;the Shenzhen Fundamental Research-General Project under Grant No.JCYJ20190808162601658;the Research Grants Council of the Hong Kong Special Administrative Region,China,under Grant Nos.GRF 18304316,GRF 18301217 and GRF 18301119;the Dean's Research Fund of the Faculty of Liberal Arts and Social Sciences,The Education University of Hong Kong,Hong Kong Special Administrative Region,China,under Grant No.FLASS/DRF 04418,and the CCF-Baidu Open Fund.
Due to over-abundant information on the Web, information filtering becomes a key task for online users to obtain relevant suggestions and how to extract the most related item is always a key topic for researchers in v...
关键词：temporal network behavior dynamics reputation evaluation ranking algorithm 
Two-Stream Temporal Convolutional Networks for Skeleton-Based Human Action Recognition被引量：3
《Journal of Computer Science & Technology》2020年第3期538-550,共13页Jin-Gong Jia Yuan-Feng Zhou Xing-Wei Hao Feng Li Christian Desrosiers Cai-Ming Zhang 
The work was supported by the National Natural Science Foundation(NSFC)-Zhejiang Joint Fund of the Integration of Informatization and Industrialization of China under Grant Nos.U1909210 and U1609218;the National Natural Science Foundation of China under Grant No.61772312;the Key Research and Development Project of Shandong Province of China under Grant No.2017GGX10110.
With the growing popularity of somatosensory interaction devices,human action recognition is becoming attractive in many application scenarios.Skeleton-based action recognition is effective because the skeleton can re...
关键词：SKELETON action recognition temporal convolutional network(TCN) vector feature representation neural network 
A Temporal Locality-Aware Page-Mapped Flash Translation Layer被引量：2
《Journal of Computer Science & Technology》2013年第6期1025-1044,共20页Youngjae Kim Aayush Gupta Bhuvan Urgaonkar 
funded in part by the Natural Science Foundation of U.S.under Grant Nos.CCF-0811670,CNS-0720456;a gift from Cisco System,Inc.and partially through the Ofce of Science of the U.S.Department of Energy under Contract No.DE-AC05-00OR22725
The poor performance of random writes has been a cause of major concern which needs to be addressed to better utilize the potential of flash in enterprise-scale environments. We examine one of the important causes of ...
关键词：flash memory flash translation layer storage system 
Formal Verification of Temporal Properties for Reduced Overhead in Grid Scientific Workflows被引量：2
《Journal of Computer Science & Technology》2011年第6期1017-1030,共14页曹军威 张帆 许可 刘连臣 吴澄 
supported by the National Basic Research 973 Program of China under Grant Nos.2011CB302805,2011CB302505;the National High Technology Research and Development 863 Program of China under Grant No.2011AA040501;the National Natural Science Foundation of China under Grant No.60803017;Fan Zhang is supported by IBM 2011-2012 Ph.D. Fellowship
With quick development of grid techniques and growing complexity of grid applications, it is becoming critical for reasoning temporal properties of grid workflows to probe potential pitfalls and errors, in order to en...
关键词：grid computing workflow management formal verification state Pi calculus 
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