Abstract is missing.
- Algorithms for Mining the Evolution of Conserved Relational States in Dynamic NetworksRezwan Ahmed, George Karypis. 1-10 [doi]
- Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph MiningPranay Anchuri, Mohammed J. Zaki, Omer Barkol, Ruth Bergman, Yifat Felder, Shahar Golan, Arik Sityon. 11-20 [doi]
- Role-Behavior Analysis from Trajectory Data by Cross-Domain LearningShin Ando, Einoshin Suzuki. 21-30 [doi]
- Semi-supervised Feature Importance Evaluation with Ensemble LearningHasna Barkia, Haytham Elghazel, Alex Aussem. 31-40 [doi]
- COMET: A Recipe for Learning and Using Large Ensembles on Massive DataJustin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer. 41-50 [doi]
- Overlapping Correlation ClusteringFrancesco Bonchi, Aristides Gionis, Antti Ukkonen. 51-60 [doi]
- Learning with Minimum Supervision: A General Framework for Transductive Transfer LearningMohammad Taha Bahadori, Yan Liu, Dan Zhang. 61-70 [doi]
- Confidence in Predictions from Random Tree EnsemblesSiddhartha Bhattacharyya. 71-80 [doi]
- Mining Heavy Subgraphs in Time-Evolving NetworksPetko Bogdanov, Misael Mongiovì, Ambuj K. Singh. 81-90 [doi]
- Multi-Class L2, 1-Norm Support Vector MachineXiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding. 91-100 [doi]
- SolarMap: Multifaceted Visual Analytics for Topic ExplorationNan Cao, David Gotz, Jimeng Sun, Yu-Ru Lin, Huamin Qu. 101-110 [doi]
- Efficiently Mining Unordered TreesMostafa Haghir Chehreghani. 111-120 [doi]
- CEMiner - An Efficient Algorithm for Mining Closed Patterns from Time Interval-Based DataYi-Cheng Chen, Wen-Chih Peng, Suh-Yin Lee. 121-130 [doi]
- LinkBoost: A Novel Cost-Sensitive Boosting Framework for Community-Level Network Link PredictionPrakash Mandayam Comar, Pang-Ning Tan, Anil K. Jain. 131-140 [doi]
- Learning Dirichlet Processes from Partially Observed GroupsAvinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, Tanveer A. Faruquie, Chiranjib Bhattacharyya. 141-150 [doi]
- Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup DiscoveryWouter Duivesteijn, Arno J. Knobbe. 151-160 [doi]
- An Efficient Greedy Method for Unsupervised Feature SelectionAhmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel. 161-170 [doi]
- Structured Feature Selection and Task Relationship Inference for Multi-task LearningHongliang Fei, Jun Huan. 171-180 [doi]
- A Taxi Driving Fraud Detection SystemYong Ge, Hui Xiong, Chuanren Liu, Zhi-Hua Zhou. 181-190 [doi]
- Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised LearningMarjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, Mohammad Hossein Rohban. 191-200 [doi]
- D-cores: Measuring Collaboration of Directed Graphs Based on DegeneracyChristos Giatsidis, Dimitrios M. Thilikos, Michalis Vazirgiannis. 201-210 [doi]
- SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold ModelAmit Goyal 0002, Wei Lu, Laks V. S. Lakshmanan. 211-220 [doi]
- Cross Domain Random Walk for Query Intent Pattern Mining from Search Engine LogSiyu Gu, Jun Yan, Lei Ji, Shuicheng Yan, Junshi Huang, Ning Liu, Ying Chen, Zheng Chen. 221-230 [doi]
- Flexible Fault Tolerant Subspace Clustering for Data with Missing ValuesStephan Günnemann, Emmanuel Müller, Sebastian Raubach, Thomas Seidl. 231-240 [doi]
- Heuristic Updatable Weighted Random Subspaces for Non-stationary EnvironmentsT. Ryan Hoens, Nitesh V. Chawla, Robi Polikar. 241-250 [doi]
- Learning Tags from Unsegmented Videos of Multiple Human ActionsTimothy M. Hospedales, Shaogang Gong, Tao Xiang. 251-259 [doi]
- Generating Breakpoint-based Timeline Overview for News Topic RetrospectionPo Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu. 260-269 [doi]
- A Robust Clustering Algorithm Based on Aggregated Heat Kernel MappingHao Huang, Shinjae Yoo, Hong Qin, Dantong Yu. 270-279 [doi]
- Patent Maintenance Recommendation with Patent Information Network ModelXin Jin, W. Scott Spangler, Ying Chen, Keke Cai, Rui Ma, Li Zhang, Xian Wu, Jiawei Han. 280-289 [doi]
- S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled AccuracyYe Jin, Sriram Lakshminarasimhan, Neil Shah, Zhenhuan Gong, Choong-Seock Chang, Jackie Chen, Stéphane Ethier, Hemanth Kolla, Seung-Hoe Ku, Scott Klasky, Robert Latham, Robert B. Ross, Karen Schuchardt, Nagiza F. Samatova. 290-299 [doi]
- Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and MiningU. Kang, Christos Faloutsos. 300-309 [doi]
- Improving Product Classification Using ImagesAnitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke. 310-319 [doi]
- Learning Markov Logic Networks via Functional Gradient BoostingTushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik. 320-329 [doi]
- Signature Pattern Covering via Local Greedy Algorithm and Pattern ShrinkHyungsul Kim, Sungjin Im, Tarek F. Abdelzaher, Jiawei Han, David Sheridan, Shobha Vasudevan. 330-339 [doi]
- TWITOBI: A Recommendation System for Twitter Using Probabilistic ModelingYounghoon Kim, Kyuseok Shim. 340-349 [doi]
- Maximum Entropy Modelling for Assessing Results on Real-Valued DataKleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie. 350-359 [doi]
- Local Models for Expectation-Driven Subgroup DiscoveryFlorian Lemmerich, Frank Puppe. 360-369 [doi]
- Context-Aware Multi-instance Learning Based on Hierarchical Sparse RepresentationBing Li, Weihua Xiong, Weiming Hu. 370-377 [doi]
- The Joint Inference of Topic Diffusion and Evolution in Social CommunitiesCindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, Marina Danilevsky. 378-387 [doi]
- Towards Optimal Discriminating Order for Multiclass ClassificationDong Liu, Shuicheng Yan, Yadong Mu, Xian-Sheng Hua, Shih-Fu Chang, Hong-Jiang Zhang. 388-397 [doi]
- A Hypergraph-based Method for Discovering Semantically Associated ItemsetsHaishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou. 398-406 [doi]
- Personalized Travel Package RecommendationQi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong. 407-416 [doi]
- Tag Clustering and Refinement on Semantic Unity GraphYang Liu, Fei Wu, Yin Zhang, Jian Shao, Yueting Zhuang. 417-426 [doi]
- Minimizing Seed Set for Viral MarketingCheng Long, Raymond Chi-Wing Wong. 427-436 [doi]
- Privacy Risk in Graph Stream Publishing for Social Network DataNigel Medforth, Ke Wang. 437-446 [doi]
- Boolean Tensor FactorizationsPauli Miettinen. 447-456 [doi]
- Sparse Domain Adaptation in Projection Spaces Based on Good Similarity FunctionsEmilie Morvant, Amaury Habrard, Stéphane Ayache. 457-466 [doi]
- Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor NetworksMasud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami. 467-476 [doi]
- Learning Classification with Auxiliary Probabilistic InformationQuang Nguyen, Hamed Valizadegan, Milos Hauskrecht. 477-486 [doi]
- Word Cloud Model for Text CategorizationTam T. Nguyen, Kuiyu Chang, Siu Cheung Hui. 487-496 [doi]
- SLIM: Sparse Linear Methods for Top-N Recommender SystemsXia Ning, George Karypis. 497-506 [doi]
- Novel Recommendation Based on Personal Popularity TendencyJinoh Oh, Sun Park, Hwanjo Yu, Min Song, Seung-Taek Park. 507-516 [doi]
- An Analysis of Performance Measures for Binary ClassifiersCharles Parker. 517-526 [doi]
- Detection of Cross-Channel Anomalies from Multiple Data ChannelsDuc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh. 527-536 [doi]
- Threshold Conditions for Arbitrary Cascade Models on Arbitrary NetworksB. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, Christos Faloutsos. 537-546 [doi]
- Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some DataThanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans. 547-556 [doi]
- Mining Historical Documents for Near-Duplicate FiguresThanawin Rakthanmanon, Qiang Zhu 0002, Eamonn J. Keogh. 557-566 [doi]
- Analysis of Textual Variation by Latent Tree StructuresTeemu Roos, Yuan Zou. 567-576 [doi]
- Healing Sample Selection Bias by Source Classifier SelectionChun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong. 577-586 [doi]
- An In-depth Study of Stochastic Kronecker GraphsC. Seshadhri, Ali Pinar, Tamara G. Kolda. 587-596 [doi]
- Learning Spectral Embedding for Semi-supervised ClusteringFanhua Shang, Yuanyuan Liu, Fei Wang. 597-606 [doi]
- Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional DataJunming Shao, Claudia Plant, Qinli Yang, Christian Böhm. 607-616 [doi]
- A Generalized Fast Subset Sums Framework for Bayesian Event DetectionKan Shao, Yandong Liu, Daniel B. Neill. 617-625 [doi]
- Learning to Rank for Query-Focused Multi-document SummarizationChao Shen, Tao Li. 626-634 [doi]
- Simple Multiple Noisy Label Utilization StrategiesVictor S. Sheng. 635-644 [doi]
- Partitionable Kernels for Mapping KernelsKilho Shin. 645-654 [doi]
- Mining Dominant Patterns in the SkyArnaud Soulet, Chedy Raïssi, Marc Plantevit, Bruno Crémilleux. 655-664 [doi]
- Ranking Web-Based Partial Orders by Significance Using a Markov Reference ModelMichel Speiser, Gianluca Antonini, Abderrahim Labbi. 665-674 [doi]
- Interesting Multi-relational PatternsEirini Spyropoulou, Tijl De Bie. 675-684 [doi]
- On Generating All Optimal Monotone ClassificationsLuite Stegeman, Ad Feelders. 685-694 [doi]
- Recursive Multi-step Time Series Forecasting by Perturbing DataSouhaib Ben Taieb, Gianluca Bontempi. 695-704 [doi]
- Finding Robust Itemsets under SubsamplingNikolaj Tatti, Fabian Moerchen. 705-714 [doi]
- Density Estimation Based on MassKai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu. 715-724 [doi]
- Diverse Dimension Decomposition of an Itemset SpaceMikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas. 725-734 [doi]
- Conditional Anomaly Detection with Soft Harmonic FunctionsMichal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht. 735-743 [doi]
- Random Forest Based Feature InductionCeline Vens, Fabrizio Costa. 744-753 [doi]
- Class Imbalance, ReduxByron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos. 754-763 [doi]
- Combining Feature Context and Spatial Context for Image Pattern DiscoveryHongxing Wang, Junsong Yuan, Yap-Peng Tan. 764-773 [doi]
- Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast ImplementationHua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding. 774-783 [doi]
- Detecting Community Kernels in Large Social NetworksLiaoruo Wang, Tiancheng Lou, Jie Tang, John E. Hopcroft. 784-793 [doi]
- ADANA: Active Name DisambiguationXuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu. 794-803 [doi]
- Document Clustering via Matrix RepresentationXufei Wang, Jiliang Tang, Huan Liu. 804-813 [doi]
- Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time SeriesZhenxing Wang, Laiwan Chan. 814-823 [doi]
- Efficient Mining of a Concise and Lossless Representation of High Utility ItemsetsCheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng. 824-833 [doi]
- Understanding Propagation Error and Its Effect on Collective ClassificationRongjing Xiang, Jennifer Neville. 834-843 [doi]
- Direct Robust Matrix Factorizatoin for Anomaly DetectionLiang Xiong, Xi Chen, Jeff G. Schneider. 844-853 [doi]
- A New Markov Model for Clustering Categorical SequencesTengke Xiong, Shengrui Wang, Qingshan Jiang, Joshua Zhexue Huang. 854-863 [doi]
- BibClus: A Clustering Algorithm of Bibliographic Networks by Message Passing on Center Linkage StructureXiaoran Xu, Zhi-Hong Deng. 864-873 [doi]
- Multi-instance Metric LearningYe Xu, Wei Ping, Andrew T. Campbell. 874-883 [doi]
- Multi-task Learning with Task RelationsZhao Xu, Kristian Kersting. 884-893 [doi]
- Secure Clustering in Private NetworksBin Yang, Issei Sato, Hiroshi Nakagawa. 894-903 [doi]
- LPTA: A Probabilistic Model for Latent Periodic Topic AnalysisZhijun Yin, Liangliang Cao, Jiawei Han, ChengXiang Zhai, Thomas S. Huang. 904-913 [doi]
- Causal Associative ClassificationKui Yu, Xindong Wu, Wei Ding 0003, Hao Wang, Hongliang Yao. 914-923 [doi]
- Multi-task Learning for Bayesian Matrix FactorizationChao Yuan. 924-931 [doi]
- Enabling Fast Lazy Learning for Data StreamsPeng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo. 932-941 [doi]
- Clusterability Analysis and Incremental Sampling for Nyström Extension Based Spectral ClusteringXianchao Zhang, Quanzeng You. 942-951 [doi]
- Fast and Robust Graph-based Transductive Learning via Minimum Tree CutYan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu. 952-961 [doi]
- Positive and Unlabeled Learning for Graph ClassificationYuchen Zhao, Xiangnan Kong, Philip S. Yu. 962-971 [doi]
- Finding Novel Diagnostic Gene Patterns Based on Interesting Non-redundant Contrast Sequence RulesYuhai Zhao, Guoren Wang, Yuan Li, Zhanghui Wang. 972-981 [doi]
- Semi-supervised Hierarchical ClusteringLi Zheng, Tao Li. 982-991 [doi]
- Handling Conditional DiscriminationIndre Zliobaite, Faisal Kamiran, Toon Calders. 992-1001 [doi]
- On the Hardness of Graph AnonymizationCharu C. Aggarwal, Yao Li, Philip S. Yu. 1002-1007 [doi]
- SPO: Structure Preserving Oversampling for Imbalanced Time Series ClassificationHong Cao, Xiaoli Li, Yew Kwong Woon, See-Kiong Ng. 1008-1013 [doi]
- Manifold Learning and Missing Data Recovery through Unsupervised RegressionMiguel Á. Carreira-Perpiñán, Zhengdong Lu. 1014-1019 [doi]
- Characterizing Inverse Time Dependency in Multi-class LearningDanqi Chen, Weizhu Chen, Qiang Yang. 1020-1025 [doi]
- Supervised Lazy Random Walk for Topic-Focused Multi-document SummarizationPan Du, Jiafeng Guo, Xueqi Cheng. 1026-1031 [doi]
- Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature SelectionWentao Fan, Nizar Bouguila, Djemel Ziou. 1032-1037 [doi]
- Identifying Differentially Expressed Genes via Weighted Rank AggregationQiong Fang, Jianlin Feng, Wilfred Ng. 1038-1043 [doi]
- Efficient Mining of Closed Sequential Patterns on Stream Sliding WindowChuancong Gao, Jianyong Wang, Qingyan Yang. 1044-1049 [doi]
- A Spectral Framework for Detecting Inconsistency across Multi-source Object RelationshipsJing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han. 1050-1055 [doi]
- Tracking and Connecting Topics via Incremental Hierarchical Dirichlet ProcessesZekai Gao, Yangqiu Song, Shixia Liu, Haixun Wang, Hao Wei, Yang Chen, Weiwei Cui. 1056-1061 [doi]
- Learning Protein Folding Energy FunctionsWei Guan, Arkadas Ozakin, Alexander G. Gray, Jose Borreguero, Shashi Bhushan Pandit, Anna Jagielska, Liliana Wroblewska, Jeffrey Skolnick. 1062-1067 [doi]
- How Does Research Evolve? Pattern Mining for Research Meme CyclesDan He, Xingquan Zhu, Douglas Stott Parker Jr.. 1068-1073 [doi]
- Twin Gaussian Processes for Binary ClassificationJianjun He, Hong Gu, Shaorui Jiang. 1074-1079 [doi]
- Constraint Selection-Based Semi-supervised Feature SelectionMohammed Hindawi, Kais Allab, Khalid Benabdeslem. 1080-1085 [doi]
- Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDLBing Hu 0001, Thanawin Rakthanmanon, Yuan-Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh. 1086-1091 [doi]
- Discovery of Versatile Temporal Subspace Patterns in 3-D DatasetsZhen Hu, Raj Bhatnagar. 1092-1097 [doi]
- A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving SubmatrixJens Humrich, Thomas Gärtner, Gemma C. Garriga. 1098-1103 [doi]
- ASAP: A Self-Adaptive Prediction System for Instant Cloud Resource Demand ProvisioningYexi Jiang, Chang-Shing Perng, Tao Li, Rong N. Chang. 1104-1109 [doi]
- Learning from Negative Examples in Set-ExpansionPrateek Jindal, Dan Roth. 1110-1115 [doi]
- Entropy-Based Graph Clustering: Application to Biological and Social NetworksEdward Casey Kenley, Young-Rae Cho. 1116-1121 [doi]
- Semi-supervised Discriminant HashingSaehoon Kim, Seungjin Choi. 1122-1127 [doi]
- Using Frequent Closed Itemsets for Data Dimensionality ReductionPetr Krajca, Jan Outrata, Vilém Vychodil. 1128-1133 [doi]
- Modeling High-Level Behavior Patterns for Precise Similarity Analysis of SoftwareTaeho Kwon, Zhendong Su. 1134-1139 [doi]
- Co-clustering for Binary and Categorical Data with Maximum ModularityLazhar Labiod, Mohamed Nadif. 1140-1145 [doi]
- Calculating Feature Weights in Naive Bayes with Kullback-Leibler MeasureChang-Hwan Lee, Fernando Gutierrez, Dejing Dou. 1146-1151 [doi]
- Scalable Diversified Ranking on Large GraphsRong-Hua Li, Jeffrey Xu Yu. 1152-1157 [doi]
- Web Horror Image Recognition Based on Context-Aware Multi-instance LearningBing Li, Weihua Xiong, Weiming Hu. 1158-1163 [doi]
- Mixture of Softmax sLDAXiaoxu Li, Junyu Zeng, Xiaojie Wang, Yixin Zhong. 1164-1169 [doi]
- Optimizing Performance Measures for Feature SelectionQi Mao, Ivor Wai-Hung Tsang. 1170-1175 [doi]
- Detecting Recurring and Novel Classes in Concept-Drifting Data StreamsMohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani M. Thuraisingham. 1176-1181 [doi]
- Performances and Characteristics of DIGRank, Ranking in the Incomplete NetworksXiang Niu, Lusong Li, Xiaobing Xiong, Daniel S. Tkach, He Li, Ke Xu. 1182-1187 [doi]
- Cross-Temporal Link PredictionSatoshi Oyama, Kohei Hayashi, Hisashi Kashima. 1188-1193 [doi]
- Helix: Unsupervised Grammar Induction for Structured Activity RecognitionHuan-Kai Peng, Pang Wu, Jiang Zhu, Joy Ying Zhang. 1194-1199 [doi]
- Distance Preserving Graph SimplificationNing Ruan, Ruoming Jin, Yan Huang. 1200-1205 [doi]
- Clustering with Attribute-Level ConstraintsJana Schmidt, Elisabeth Maria Brändle, Stefan Kramer. 1206-1211 [doi]
- A Fast and Flexible Clustering Algorithm Using Binary DiscretizationMahito Sugiyama, Akihiro Yamamoto. 1212-1217 [doi]
- A New Multi-task Learning Method for Personalized Activity RecognitionXu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li 0001. 1218-1223 [doi]
- Identities Anonymization in Dynamic Social NetworksChih-Hua Tai, Peng-Jui Tseng, Philip S. Yu, Ming-Syan Chen. 1224-1229 [doi]
- Discovering Emerging Topics in Social Streams via Link Anomaly DetectionToshimitsu Takahashi, Ryota Tomioka, Kenji Yamanishi. 1230-1235 [doi]
- Finding Communities in Dynamic Social NetworksChayant Tantipathananandh, Tanya Y. Berger-Wolf. 1236-1241 [doi]
- Review Graph Based Online Store Review Spammer DetectionGuan Wang, Sihong Xie, Bing Liu 0001, Philip S. Yu. 1242-1247 [doi]
- Classifying Categorical Data by Rule-Based NeighborsJiabing Wang, Pei Zhang, Guihua Wen, Jia Wei. 1248-1253 [doi]
- Tensor Fold-in Algorithms for Social Tagging PredictionMiao Zhang, Chris H. Q. Ding, Zhifang Liao. 1254-1259 [doi]
- Discovering Thematic Patterns in Videos via Cohesive Sub-graph MiningGangqiang Zhao, Junsong Yuan. 1260-1265 [doi]
- Low Rank Metric Learning with Manifold RegularizationGuoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu. 1266-1271 [doi]
- A Study of Laplacian Spectra of Graph for Subgraph QueriesLei Zhu, Qinbao Song. 1272-1277 [doi]
- Text Clustering via Constrained Nonnegative Matrix FactorizationYan Zhu, Liping Jing, Jian Yu. 1278-1283 [doi]