{"id":60,"date":"2020-12-03T08:49:03","date_gmt":"2020-12-03T08:49:03","guid":{"rendered":"http:\/\/dmslab.hkg03.bdysite.com\/?page_id=60"},"modified":"2024-09-19T21:05:22","modified_gmt":"2024-09-19T13:05:22","slug":"research","status":"publish","type":"page","link":"http:\/\/dmslab.net\/?page_id=60","title":{"rendered":"Research"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Funded Projects<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>PI, Ministry of Industry and Information Technology \u2013 Public \nservice platform of Industrial Technology Project (Sub-project: \nArtificial Intelligence),2020-2022\n<\/li><li>PI, Ministry of Industry and Information Technology \u2013 Industrial \nInternet Innovation development Project (Sub-project: Reference Model), \n2018-2020\n<\/li><li>PI, Ministry of Industry and Information Technology \u2013 Industrial \nInternet Innovation development Project (Sub-project: Emergency \nResponse), 2018-2020\n<\/li><li>PI, The National Key Research and Development Program of China (SubTask: Standardization), 2017-2020\n<\/li><li>PI, The National Key Research and Development Program of China (SubTask: Temporal Summarization), 2017-2020\n<\/li><li>PI, The National Natural Science Foundation of China (No. 61671030), 2017-2021\n<\/li><li>PI, The BJUT International Cooperation Foundation, 2016-2017\n<\/li><li>PI, The National Standardization Foundation, 2015-2016\n<\/li><li>PI, The Beijing Excellent Talent Development Foundation, 2013-2015\n<\/li><li>PI, The Importation and Development of High Caliber Talents \nProject of Beijing Municipal Institutions (No. CIT&amp;TCD201404052), \n2013-2015\n<\/li><li>Co-PI, The National Information Security 242 Project of China (No. 2014A104), 2014-2015\n<\/li><li>PI, The Open Research Fund of Beijing Key Laboratory of Trusted Computing, 2014-2015\n<\/li><li>PI, The National Soft Science Program of China (No. 2010GXQ5D317), 2011-2012\n<\/li><li>PI, The National Natural Science Foundation of China (No. 61001178), 2011-2014\n<\/li><li>PI, The Scientific Research Common Program of Beijing Municipal Commission of Education (No. KM201210005024), 2011-2014\n<\/li><li>PI, The Beijing Natural Science Foundation (No. 4102012), 2010-2013\n<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Selected Papers<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Research Highlight<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li>[2021] Lu N, Yang Z*, Huang J, Wu Y, Wang H. Silence or Outbreak &#8211; A Real-time Emergent Topic Identification System (RealTIS) for Social Media, has been accepted to the AAAI-22 Demonstrations Program, 2021<\/li><li>[2021] Yang Z, Li T, Waedt K. Li Y. The Need of Standardizing Industrial Internet Platform: Challenges and Threats. SC 27 Journal, 1(2), 15-30. <\/li><li>[2021] Yu H, Ma S, Hu Q, Yang Z*. Blockchain-Based Continuous Auditing for Dynamic Data Sharing in Autonomous Vehicular Networks. Computer, 54 (8), 33-45<strong> <\/strong>(Impact factor: 4.419) <strong><span class=\"has-inline-color has-vivid-red-color\">August 2021 Features Article<\/span><\/strong><\/li><li>[2021] Yu H, Hu Q, Yang Z*, Liu H. Efficient Continuous Big Data Integrity Checking for Decentralized Storage. IEEE Transactions on Network Science and Engineering, 8(2), 1658-1673, 2021 (<strong>DOI:&nbsp;<\/strong><a rel=\"noreferrer noopener\" target=\"_blank\" href=\"https:\/\/doi.org\/10.1109\/TNSE.2021.3068261\">10.1109\/TNSE.2021.3068261<\/a>, 5-year Impact factor: 5.213)<\/li><li>[2021] Chen Y, Mart\u00ednez J, L\u00f3pez L, Yu H, Yang Z*. A dynamic membership group-based multiple-data aggregation scheme for smart grid. IEEE Internet of Things Journal, 8(15), 12360-12374, 2021 (5-year Impact factor: 11.705)<\/li><li>[2020] Yang Z*, Yao Y, Tu S. Exploiting Sparse Topics Mining for Temporal Event Summarization. 2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC). IEEE, 2020: 322-331.<strong><span class=\"has-inline-color has-vivid-red-color\"> Best Paper<\/span><\/strong><\/li><li>[2020] Ma Z*<em>, <\/em>Lu X, Xie J, Yang Z*, Xue Jao, Tan Z, Xiao B, Guo J. On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables, IEEE Transactions on Neural Networks and Learning Systems. [<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9051793\"><strong>Early Access<\/strong><\/a>] (5-year Impact factor: 8.823)<\/li><li>[2019] Yang Z*, Yu H, Tang J, Liu H. Toward Keyword Extraction in  Constrained Information Retrieval in Vehicle Social Network. IEEE Transactions on Vehicular Technology, 2019, 68(5): 4285-4294. (5-year Impact factor: 5.119)<\/li><li>[2018] Yang Z*, Tang J, Liu H. Cloud Information Retrieval: Model  Description and Scheme Design. IEEE Access, 2018, 6: 15420-15430. <\/li><li>[2015] Yang Z*, Issac J, Hu X, Liu H. \u201cFinding the Right Social  Media Site for Questions.\u201d 2015 IEEE\/ACM International Conference on  Advances in Social Networks Analysis and Mining (ASONAM\u201915), August  25-28, 2015, Paris, France, 639-644. (A demo Q&amp;A system \u2018Social Answer\u2019  was demonstrated in ICDM\u201915) <\/li><li>[2013] Yang Z*, Lei J, Fan K, Lai Y. \u201cKeyword Extraction by  Entropy Difference Between the Intrinsic and Extrinsic Mode.\u201d Physica A:  Statistical Mechanics and its Applications 392(19): 4523-4531. <strong>[<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378437113004949\">Paper<\/a>, <a href=\"http:\/\/www.codeproject.com\/Articles\/643619\/Keyword-Extraction-Based-On-Entropy-Difference,\">Code<\/a>]<\/strong> <\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Editor of Proceeding<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li>Yung M, Zhang J, Yang Z (Eds.). Trusted Systems-7th International Conference, INTRUST 2015, Beijing, China, December 7-8,  2015. INTRUST 2015, <a href=\"http:\/\/www.springer.com\/jp\/book\/9783319315492?token=prtst0416p,\">LNCS 9565<\/a>, 2016 <\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Standards<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li>Yang Z (Editor), Li T (Co-Editor), Karl Waedt, Lin Yanghuichen. Information technology- Security techniques-Security reference model for industrial internet platfrom. ISO\/IEC 24392, 3rd WD.<\/li><li>\u300a\u4fe1\u606f\u5b89\u5168\u6280\u672f \u7269\u8054\u7f51\u6570\u636e\u4f20\u8f93\u5b89\u5168\u6280\u672f\u8981\u6c42\uff08GB\/T37025\u20142018\uff09\u300b, \u56fd\u5bb6\u6807\u51c6.  \u6768\u9707; \u8303\u79d1\u5cf0; \u4e01\u6cbb\u660e; \u8d56\u82f1\u65ed; \u5218\u8d24\u521a; \u9ec4\u5251; \u674e\u5065; \u9f9a\u6d01\u4e2d; \u674e\u7433; \u674e\u6021\u5fb7; \u9a6c\u5360\u5b87; \u6bb5\u7acb\u5a1f; \u79e6\u534e; \u4e01\u4e3d\u840d; \u987e\u5065; \u9f50\u529b; \u6768\u660e; \u9648\u4e66\u4e49; \u88f4\u5e86\u797a; \u5f20\u5fd7\u52c7; \u66f9\u5360\u5cf0; \u8042\u7965\u98de; \u6d82\u5c71\u5c71; \u4f55\u901a\u6d77; \u9b4f\u6b23; \u5434\u4e9a\u73ba; \u674e\u7ae5; \u5218\u9759; \u8521\u4f1f; \u90b9\u4ed5\u6d2a. 2018\u5e7412\u670828\u65e5\u53d1\u5e03\uff0c2019\u5e747\u67081\u65e5\u5b9e\u65bd\u3002<\/li><li>\u300a\u4fe1\u606f\u5b89\u5168\u6280\u672f \u7269\u8054\u7f51\u5b89\u5168\u53c2\u8003\u6a21\u578b\u53ca\u901a\u7528\u8981\u6c42\uff0837044\u20142018 \uff09\u300b, \u56fd\u5bb6\u6807\u51c6. \u9f9a\u6d01\u4e2d; \u674e\u7433; \u8303\u79d1\u5cf0;  \u6768\u9707; \u674e\u4eac\u6625; \u59da\u76f8\u632f; \u5468\u777f\u5eb7; \u5468\u677e\u5955; \u5218\u519b\u660e; \u848b\u660a; \u987e\u5065; \u9f50\u529b; \u6768\u660e; \u9648\u4e66\u4e49; \u9a6c\u5360\u5b87; \u5e38\u4eae; \u738b\u52c7; \u9676\u6653\u73b2; \u8c37\u5927\u6b66; \u9648\u606d\u4eae; \u66f9\u5360\u5cf0. 2018\u5e7412\u670828\u65e5\u53d1\u5e03\uff0c2019\u5e747\u67081\u65e5\u5b9e\u65bd\u3002<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Papers<\/strong><\/h3>\n\n\n\n<h4 class=\"has-vivid-red-color has-text-color wp-block-heading\"><strong>Artificial Intelligence<\/strong> Theory and Application<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>[2021] Du Yu, Li T, Pathan M, Teklehaimanot H, Yang Z. An Effective Sarcasm Detection Approach Based on Sentimental Context and Individual Expression Habits. Cognitive Computation (2021): 1-13. (5-year Impact factor: 3.856)<\/li><li>[2020] Ma Z*, Lu X, Xie J, Yang Z*, Xue J, Tan Z, Xiao B, and Guo  J. On the Comparisons of Decorrelation Approaches for non-Gaussian  Neutral Vector Variables. IEEE Transactions on Neural Network and  Learning Systems (TNNLS), Accepted. (5-year Impact factor: 8.823)<\/li><li>[2018] Ma, Z., Xue, J. H., Leijon, A., Tan, Z. H., Yang, Z., Guo, J. Decorrelation of neutral vector variables: Theory and  applications. IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2018, 29(1): 129-143. (5-year Impact factor: 8.823)<\/li><li>[2018] Yang Z, Chen W, Huang J. Enhancing recommendation on extremely sparse data with blocks-coupled non-negative matrix  factorization. Neurocomputing, 2018, 278: 126-133. <\/li><\/ul>\n\n\n\n<h4 class=\"has-vivid-red-color has-text-color wp-block-heading\">I<strong>nformation Retrieval<\/strong>\/Social Mining<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>[2020] Yang Z*, Yao Y, Tu S. Exploiting Sparse Topics Mining for  Temporal Event Summarization. 2020 IEEE 5th International Conference on  Image, Vision and Computing (ICIVC). IEEE, 2020: 322-331. <strong>Best Paper<\/strong><\/li><li>[2019] Yang Z*, Yu H, Tang J, Liu H. Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network. IEEE Transaction on Vehicular Technology, 2019, 68(5): 4285-4294. (5-year Impact factor: 5.119)<\/li><li>[2019] Yin R, Li K; Lu J, Zhang G. Enhancing fashion recommendation with visual compatibility relationship, 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, United states, 2019-5-13-2019-5-17.<\/li><li>[2018] Yang Z*, Tang J, Liu H. Cloud Information Retrieval: Model  Description and Scheme Design. IEEE Access, 2018, 6: 15420-15430. <\/li><li>[2018] Yang Z, Gao K, Huang J. External Expansion Risk Management: Enhancing Microblogging Filtering Using Implicit Query.  Wireless Personal Communications, 2018, 102(3): 2199-2209. <\/li><li>[2016] Yang Z, Yao F, Fan K, Huang J. Text Dimensionality  Reduction with Mutual Information Preserving Mapping. Chinese Journal of Electronics 26.5 (2017): 919-925. <\/li><li>[2015] Yang Z*, Issac J, Hu X, Liu H. \u201cFinding the Right Social  Media Site for Questions.\u201d 2015 IEEE\/ACM International Conference on  Advances in Social Networks Analysis and Mining (ASONAM\u201915), August  25-28, 2015, Paris, France, 639-644. (A demo Q&amp;A system \u2018Social Answer\u2019 was demonstrated in ICDM\u201915) <\/li><li>[2015] Dani H, Morstatter F, Xia H, Yang Z, and Liu H. Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. In <em>2015 IEEE International Conference on Data Mining Workshop (ICDMW)<\/em>, pp. 1632-1635. IEEE, 2015 (This is a demo track paper that  demonstrates a Q&amp;A system \u2018Social Answer\u2019 proposed in our ASONAM\u201915 paper!) <\/li><li>[2014] Yang Z, Fan K, Lai Y, Gao K, Wang Y. \u201cShort Texts  Classification Through Reference Document Expansion.\u201d Chinese Journal of  Electronics, 2014, 23(2): 315-321. <\/li><li>[2013] Yang Z, Wang L, Fan K, Lai Y. \u201cExemplar-Based Clustering  Analysis Optimized by Genetic Algorithm.\u201d Chinese Journal of  Electronics, 2013, 22(4): 735-740. <\/li><li>[2012] Yang Z, Lai Y, Duan L, Li Y, Xu X. \u201cSpam Collaborative  Filtering in Enron E-mail Network.\u201d Acta Automatica Sinica, 2012, 38(3):  399-411. (in Chinese, \u6768\u9707, \u8d56\u82f1\u65ed, \u6bb5\u7acb\u5a1f\u7b49. \u90ae\u4ef6\u7f51\u7edc\u534f\u540c\u8fc7\u6ee4\u673a\u5236\u7814\u7a76. \u81ea\u52a8\u5316\u5b66\u62a5, 38(3): 399-411, 2012)<\/li><li>[2012] Yang Z, Lai Y, Duan L, Li Y. \u201cShort Text Sentiment  Classification Based on Context Reconstruction.\u201d Acta Automatica Sinica,  2012, 38(1): 55-67. (in Chinese, \u6768\u9707, \u8d56\u82f1\u65ed, \u6bb5\u7acb\u5a1f\u7b49. \u57fa\u4e8e\u4e0a\u4e0b\u6587\u91cd\u6784\u7684\u77ed\u6587\u672c\u60c5\u611f\u6781\u6027\u5224\u522b\u7814\u7a76. \u81ea\u52a8\u5316\u5b66\u62a5, 38(1): 55-67, 2012)<\/li><li>[2009] Yang Z, Fan K, Lei J, Guo J. Text Manifold Based on Semantic Analysis. Acta Electronica Sinica,  37(3): 557-561, 2009. (in Chinese, \u6768\u9707, \u8303\u79d1\u5cf0, \u96f7\u5efa\u519b, \u90ed\u519b. \u57fa\u4e8e\u8bed\u4e49\u7684\u6587\u672c\u6d41\u5f62\u7814\u7a76. \u7535\u5b50\u5b66\u62a5, 37(3): 557-561, 2009)<\/li><\/ul>\n\n\n\n<h4 class=\"has-vivid-red-color has-text-color wp-block-heading\">Language Model\/Keywords Detection<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>[2015] Yang Z, Gao K, Fan K, Lai Y. \u201cSensational Headline  Identification By Normalized Cross Entropy-Based Metric.\u201d The Computer Journal, 2015, 58 (4): 644-655. <\/li><li>[2014] Yang Z, Wang L, Lai Y. \u201c Online comment clustering based  on an improved semantic distance.\u201d Ruan Jian Xue Bao\/Journal of  Software, 2014, 25(12): 2777-2789. (in Chinese, \u6768\u9707, \u738b\u6765\u6d9b, \u8d56\u82f1\u65ed. \u57fa\u4e8e\u6539\u8fdb\u8bed\u4e49\u8ddd\u79bb\u7684\u7f51\u7edc\u8bc4\u8bba\u805a\u7c7b\u7814\u7a76. \u8f6f\u4ef6\u5b66\u62a5, 25(12): 2777-278, 2014) <\/li><li>[2013] Yang Z, Lei J, Fan K, Lai Y. \u201cKeyword Extraction by  Entropy  Difference Between the Intrinsic and Extrinsic Mode.\u201d Physica A:   Statistical Mechanics and its Applications, 2013, 392(19): 4523-4531. <strong>[<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378437113004949\">paper<\/a>, <a href=\"http:\/\/www.codeproject.com\/Articles\/643619\/Keyword-Extraction-Based-On-Entropy-Difference,\">Code<\/a>]<\/strong> <\/li><\/ul>\n\n\n\n<h4 class=\"has-vivid-red-color has-text-color wp-block-heading\">Data Security<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>[2021] Yang Z (Editor), Li T (Co-Editor), Karl Waedt, Lin Yanghuichen. Information technology- Security techniques-Security reference model for industrial internet platfrom. ISO\/IEC 24392, 3rd WD.<\/li><li>[2021] Yu H, Ma S, Hu Q, Yang Z*. Blockchain-BasedContinuous Auditing for Dynamic Data Sharing in Autonomous Vehicular Networks. Computer <strong>[Early Access] <\/strong>(Impact factor: 4.419)<\/li><li>[2021] Yu H, Hu Q, Yang Z*, Liu H. Efficient Continuous Big Data Integrity Checking for Decentralized Storage. IEEE Transactions on  Network Science and Engineering<strong> [<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9384270\/keywords#keywords\">Early Access<\/a>]<\/strong> (5-year Impact factor: 5.213)<\/li><li>[2021] Yang Z, Zhang H, Yu H<sup>*<\/sup>, Li Z, Zhu B, Sinnott R O. Attribute-Based Keyword Search over the Encrypted Blockchain, Computer Modeling in Engineering and Sciences (CMES), 2021. (Accepted)<\/li><li>[2021] Wu J, Yu H, Yang Z, Yin R. Disk Failure Prediction with Multiple Channel&nbsp;Convolutional Neural Network,&nbsp;International Joint Conference on Neural Networks (IJCNN 2021), 2021. (Accepted)<\/li><li>[2019] Yu H, Yang Z, Sinnott R O. Decentralized Big Data Auditing  for Smart City Environments Leveraging Blockchain Technology. IEEE  Access, 2019, 7: 6288-6296. <\/li><li>[2019] Yu H, Cai Y, Sinnott R O<sup>*<\/sup>, Yang Z. ID-Based Dynamic Replicated Data Auditing for the Cloud, Concurrency and Computation: Practice and Experience (CCPE),&nbsp;31(11): e5051, 2019.<\/li><li>[2018] \u6768\u9707, \u5218\u8d24\u521a, \u8303\u79d1\u5cf0. \u5de5\u4e1a\u4e92\u8054\u7f51\u5e73\u53f0\u5b89\u5168\u53c2\u8003\u6a21\u578b\u56fd\u9645\u6807\u51c6\u63d0\u6848\u7814\u7a76. \u4fe1\u606f\u6280\u672f\u4e0e\u6807\u51c6\u5316, 2018, 401(05):34-37. <\/li><li>[2016] \u674e\u6021\u5fb7, \u6768\u9707*, \u9f9a\u6d01\u4e2d, \u4f55\u901a\u6d77. \u7269\u8054\u7f51\u5b89\u5168\u53c2\u8003\u67b6\u6784\u7814\u7a76. \u4fe1\u606f\u5b89\u5168\u7814\u7a76, 2016, 2(5):417-423. <\/li><li>[2016] Yang Z, Yang T, Fan K, Wang Y. Cloud Services Composition  Based on Trust Combination. Acta Electronica Sinica, 2018,46(3):614-620. (in  Chinese, \u6768\u9707, \u6768\u751c\u751c, \u8303\u79d1\u5cf0,\u7b49. \u57fa\u4e8e\u4fe1\u4efb\u5408\u6210\u7684\u4e91\u670d\u52a1\u52a8\u6001\u7ec4\u5408\u673a\u5236\u7814\u7a76. \u7535\u5b50\u5b66\u62a5, 2018,46(3):614-620). <\/li><\/ul>\n\n\n\n<h4 class=\"has-vivid-red-color has-text-color wp-block-heading\">Requirements Engineering<\/h4>\n\n\n\n<ul class=\"wp-block-list\"><li>[2021] Feng, Weite, Tong Li*, Haiyang Yu, and Zhen Yang. &#8220;A Hybrid Music Recommendation Algorithm Based on Attention Mechanism.&#8221; In International Conference on Multimedia Modeling, pp. 328-339. Springer, Cham, 2021. <strong>CCF-C\u7c7b\u4f1a\u8bae<\/strong><\/li><li>[2021] Du, Yu, Tong Li*, Muhammad Salman Pathan, Hailay Kidu Teklehaimanot, and Zhen Yang. &#8220;An Effective Sarcasm Detection Approach Based on Sentimental Context and Individual Expression Habits.&#8221; Cognitive Computation (2021): 1-13. <strong>JCR1\u533a\uff0c\u4e2d\u79d1\u96622\u533a<\/strong><\/li><li>[2020] Tong Li*, Shiheng Wang, David Lillis, and Zhen Yang. &#8220;Combining Machine Learning and Logical Reasoning to Improve Requirements Traceability Recovery.&#8221; Applied Sciences 10, no. 20 (2020): 7253. <strong>JCR2\u533a\uff0c\u4e2d\u79d1\u96623\u533a<\/strong><\/li><li>[2020] Guoshuai Zhao, Tong Li* and Zhen Yang. \u201cAn Extended Knowledge Representation Learning Approach for Context-Based Traceability Link Recovery (S).\u201d International Conference on Software Engineering and Knowledge Engineering (SEKE), 2020, pp. 77\u201382. <strong>CCF-C\u7c7b\u4f1a\u8bae<\/strong><\/li><li>[2020] Ruiyi Wang, Tong Li* and Zhen Yang \u201cPredicting Polypharmacy Side Effects Based on an Enhanced Domain Knowledge Graph.\u201d International Conference on Applied Informatics, 2020, pp. 89\u2013103.<\/li><li>[2019] Wang, Shiheng, Tong Li*, and Zhen Yang. &#8220;Exploring Semantics of Software Artifacts to Improve Requirements Traceability Recovery: A Hybrid Approach.&#8221; In 2019 26th Asia-Pacific Software Engineering Conference (APSEC), pp. 39-46. IEEE, 2019. <strong>CCF-C\u7c7b\u4f1a\u8bae<\/strong><\/li><li>[2019] Wang, Shiheng, Tong Li*, and Zhen Yang. &#8220;Using Graph Embedding to Improve Requirements Traceability Recovery.&#8221; In&nbsp;International Conference on Applied Informatics, pp. 533-545. Springer, Cham, 2019.<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Funded Projects PI, Minis &hellip;<\/p>\n","protected":false},"author":1,"featured_media":970,"parent":1478,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":"","_wp_rev_ctl_limit":""},"class_list":["post-60","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"http:\/\/dmslab.net\/index.php?rest_route=\/wp\/v2\/pages\/60","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/dmslab.net\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/dmslab.net\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/dmslab.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/dmslab.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=60"}],"version-history":[{"count":38,"href":"http:\/\/dmslab.net\/index.php?rest_route=\/wp\/v2\/pages\/60\/revisions"}],"predecessor-version":[{"id":1480,"href":"http:\/\/dmslab.net\/index.php?rest_route=\/wp\/v2\/pages\/60\/revisions\/1480"}],"up":[{"embeddable":true,"href":"http:\/\/dmslab.net\/index.php?rest_route=\/wp\/v2\/pages\/1478"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/dmslab.net\/index.php?rest_route=\/wp\/v2\/media\/970"}],"wp:attachment":[{"href":"http:\/\/dmslab.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=60"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}