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url: =Fuzhen Zhuang 庄福振\nDBLP GoogleScholar 中文版 | English | New Homepage\nI am currently an Associate Professor in Institute of Computing Technology, Chinese Academy of Sciences.\nMy research interests include Machine Learning, Data Mining, Transfer Learning, Multi-task Learning and Recommendation Systems. I have published more than 100 papers in some prestigious refereed conferences and journals, such as SIAM SDM, ACM CIKM, IEEE ICDM, ACM WSDM, ECML/PKDD, EMNLP, IJCAI, AAAI, IEEE ICDE, TheWebConf, KDD, IEEE TKDE, IEEE T-CYB, IEEE TNNLS, ACM TIST, Information Sciences and Neural Networks.\nDoctoral thesis: Research on Text Classification Algorithms in Transfer Learning\nSurvey on Transfer Learning Research (in Chinese). [PDF]\nIf you are interested in the topic of transfer learning, multi-task learning and recommendation systems, please feel free to contact me. I am very glad to discuss with you.\nMotto: If you want to harvest, please try your best! Keep your heart passional, everything is possible!\nNew: I will transfer my job from CAS to Institute of Artificial Intelligence, Beihang University since April, 2021. I am looking for the prospective Master, Ph.D students, and the Postdoc is also welcome!\nI am always seeking for the high intelligent and diligent intern students! If you are interested in my group, please contact me by email zhuangfuzhen@ict.ac.cn.\n[Biography] [Selected Publications] [Full Publications] [Academic Service] [Awards] [Resources][CV]\nSelected Publications (*means conrresponding author)\n19. Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang: Leveraging Maximum Entropy and Correlation on Latent Factors for Learning Representations. Neural Networks, 2020.\n18. Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou: Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE TKDE, 2020.\n17. Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He: A Comprehensive Survey on Transfer Learning. Proceedings of IEEE, 2020.\n16. Haochao Ying, Qingyu Song, Jintai Chen, Tingting Liang, Jingjing Gu, Fuzhen Zhuang, Danny Z Chen, Jian Wu: A Semi-supervised Deep Convolutional Framework for Signet Ring Cell Detection. Neurocomputing, 2020.\n15. Yuanbo Xu, Yongjian Yang, En Wang, Jiayu Han, Fuzhen Zhuang, Zhiwen Yu, Hui Xiong: Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with sparse Explicit Feedback. ACM Transactions on Knowledge Discovery from Data, 2020.\n14. Yongchun Zhu, Fuzhen Zhuang*, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He: Deep Subdomain Adaptation Network for Image Classification. IEEE Transactions on Neural Networks and Learning Systems, 2020.\n13. Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, and Hui Xiong: Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. IEEE TKDE, 2020.\n12. Hengshu Zhu, Ying Sun, Wenjia Zhao, Fuzhen Zhuang, Baoshan Wang, Hui Xiong: Rapid Learning of Earthquake Felt Area and Intensity Distribution with Real-time Search Engine Queries. Scientific Reports, 2020.\n11. Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang*: Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. IEEE Transactions on Neural Networks and Learning Systems, 2020.\n10. Xiaoyi Deng, Yenchun Jim Wu, Fuzhen Zhuang: Trust-embedded collaborative deep generative model for social recommendation. The Journal of Supercomputing, 2020.\n9. Tianzhu Chen, Fenghua Li, Fuzhen Zhuang, Liang Fang, and Yunchuan Guo: The Linear Geometry Structure of Label Matrix for Multi-label Learning. DEXA 2020.\n8. Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang and Hui Xiong: Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. KDD 2020.\n7. Dongbo Xi, Fuzhen Zhuang*, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu and Qing He: Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR 2020.\n6. Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu and Victor Sheng: Cross-Domain Recommendation with Adversarial Examples. DASFAA 2020.\n5. Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor Sheng, Junhua Fang and Fuzhen Zhuang: Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. DASFAA 2020.\n4. Tianxin Wang, Jingwu Chen, Fuzhen Zhuang*, Leyu Lin, Feng Xia, Lihuan Du and Qing He: Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI 2020.\n3. Jingwu Chen, Fuzhen Zhuang*, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He: Follow the Title then Read the Article: Click-guide Network for Dwell Time Prediction. TKDE 2019.\n2. Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang: Softly Associative Transfer Learning for Cross-domain Classification. IEEE Transactions on Cybernetics, 2019.\n1. Xuebing Li, Ying Sun, Fuzhen Zhuang*, Jia He, Zhao Zhang, Shijun Zhu, Qing He: Potential Off-grid User Prediction System Based on Spark. ZTE Communications, 2018.\n3. Qingyu Guo, Fuzhen Zhuang , Chuan Qin , Hengshu Zhu , Xing Xie , Hui Xiong , Qing He : A Survey on Knowledge Graph-Based Recommender Systems. CoRR abs/2003.00911 ( 2020 ) .\n2. Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He: A Comprehensive Survey on Transfer Learning, Technical Report, arXiv:1911.02685, 2019.\n1. Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Q, Qing He: Transfer Learning Toolkit: Primers and Benchmarks, Technical Report, arXiv:1911.08967, 2019.\n89. Zhao Zhang , Fuzhen Zhuang , Hengshu Zhu , Zhi-Ping Shi , Hui Xiong , Qing He : Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI 2020 : 9612-9619.\n88. Anjing Luo , Pengpeng Zhao , Yanchi Liu , Fuzhen Zhuang , Deqing Wang , Jiajie Xu , Junhua Fang , Victor S. Sheng : Collaborative Self-Attention Network for Session-based Recommendation. IJCAI 2020 : 2591-2597.\n87. Yongchun Zhu , Dongbo Xi , Bowen Song , Fuzhen Zhuang , Shuai Chen , Xi Gu , Qing He : Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW 2020 : 928-938.\n86. Jian Liu , Pengpeng Zhao , Fuzhen Zhuang , Yanchi Liu , Victor S. Sheng , Jiajie Xu , Xiaofang Zhou , Hui Xiong : Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. WWW 2020 : 2768-2774.\n85. Dongbo Xi , Fuzhen Zhuang , Ganbin Zhou , Xiaohu Cheng , Fen Lin , Qing He : Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. WWW 2020 : 3133-3139.\n84. Yuyang Ye , Hengshu Zhu , Tong Xu , Fuzhen Zhuang , Runlong Yu , Hui Xiong : Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. ICDM 2019 : 718-727.\n83. Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang: SDC-causing Error Detection Based on Lightweight Vulnerability Prediction. ACML 2019: 1049-1064.\n82. Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu: Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach. ACM Multimedia 2019: 1401-1409.\n81. Ying Sun, Fuzhen Zhuang*, Hengshu Zhu, Xin Song, Qing He, Hui Xiong: The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. KDD 2019: 1625-1633.\n80. Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong: Multiple Relational Attention Network for Multi-task Learning. KDD 2019: 1123-1131.\n79. Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong: DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. KDD 2019: 2165-2173.\n78. Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo: Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction. IJCAI 2019: 4157-4163.\n77. Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou: Graph Contextualized Self-Attention Network for Session-based Recommendation. IJCAI2019: 3940-3946.\n76. Yongchun Zhu, Fuzhen Zhuang*, Deqing Wang: Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. AAAI 2019: 5989-5996.\n75. Dongbo Xi, Fuzhen Zhuang*, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He: Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI 2019: 5458-5465.\n74. Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou: Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. AAAI2019: 5877-5884.\n73. Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He: Policy Gradients for Contextual Recommendations. WWW 2019: 1421-1431.\n72. Yongchun Zhu, Fuzhen Zhuang*, Jingyuan Yang, Xi Yang, Qing He: Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) 2019: 110-122.\n71. Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu: Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. PAKDD (1) 2019: 160-171.\n70. Jia He , Rui Liu , Fuzhen Zhuang* , Fen Lin , Cheng Niu , Qing He : A General Cross-Domain Recommendation Framework via Bayesian Neural Network. ICDM 2018 : 1001-1006.\n69. Baoyu Jing , Chenwei Lu , Deqing Wang , Fuzhen Zhuang , Cheng Niu : Cross-Domain Labeled LDA for Cross-Domain Text Classification. ICDM 2018 : 187-196.\n68. Yuanbo Xu , Yongjian Yang , Jiayu Han , En Wang , Fuzhen Zhuang , Hui Xiong : Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation. ICDM 2018 : 1356-1361.\n67. Fei Yi , Zhiwen Yu , Fuzhen Zhuang , Xiao Zhang , Hui Xiong : An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. ICDM 2018 : 1386-1391.\n66. Zhao Zhang , Fuzhen Zhuang* , Meng Qu , Fen Lin , Qing He : Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP 2018 : 3198-3207.\n65. Zhao Zhang , Fuzhen Zhuang , Zheng-Yu Niu , Deqing Wang , Qing He : MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM 2018 : 1715-1718.\n64. Ying Sun , Hengshu Zhu , Fuzhen Zhuang* , Jingjing Gu , Qing He : Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. KDD 2018 : 2269-2278.\n63. Haochao Ying , Fuzhen Zhuang , Fuzheng Zhang , Yanchi Liu , Guandong Xu , Xing Xie , Hui Xiong , Jian Wu : Sequential Recommender System based on Hierarchical Attention Networks. IJCAI 2018 : 3926-3932.\n62. Xiao Zhang , Wenzhong Li , Vu Nguyen , Fuzhen Zhuang* , Hui Xiong , Sanglu Lu : Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. IJCAI 2018 : 3125-3131.\n61. Jingwu Chen , Fuzhen Zhuang , Xin Hong , Xiang Ao , Xing Xie , Qing He : Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR 2018 : 909-912.\n60. Xi Yang , Yuwei Huang , Fuzhen Zhuang* , Lishan Zhang , Shengquan Yu : Automatic Chinese Short Answer Grading with Deep Autoencoder. AIED (2) 2018 : 399-404.\n59. Yuwei Huang , Xi Yang , Fuzhen Zhuang* , Lishan Zhang , Shengquan Yu : Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation. PAKDD (1) 2018 : 118-129.\n58. Jing Zheng , Fuzhen Zhuang* , Chuan Shi : Local Ensemble across Multiple Sources for Collaborative Filtering. CIKM 2017 : 2431-2434.\n57. Jia He , Changying Du , Changde Du , Fuzhen Zhuang , Qing He , Guoping Long : Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. IJCAI 2017 : 1830-1836.\n56. Fuzhen Zhuang , Lang Huang , Jia He , Jixin Ma , Qing He : Transfer Learning with Manifold Regularized Convolutional Neural Network. KSEM 2017 : 483-494.\n55. Fuzhen Zhuang , Yingmin Zhou , Fuzheng Zhang , Xiang Ao , Xing Xie , Qing He : Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) 2017 : 881-882.\n54. Fuzhen Zhuang , Dan Luo , Nicholas Jing Yuan , Xing Xie , Qing He : Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM 2017 : 567-575.\n53. Xiang Ao , Ping Luo , Jin Wang , Fuzhen Zhuang, Qing He : Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017 : 83-86\n52. Chuan Shi , Bowei He , Menghao Zhang , Fuzhen Zhuang , Philip S. Yu , Naiwang Guo : Expenditure aware rating prediction for recommendation. BigData 2016 : 1018-1025.\n51. Fuzhen Zhuang , Ping Luo , Sinno Jialin Pan , Hui Xiong , Qing He : Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016 : 2335-2340.\n50. Jia He , Changying Du , Fuzhen Zhuang , Xin Yin , Qing He , Guoping Long : Online Bayesian Max-Margin Subspace Multi-View Learning. IJCAI 2016 : 1555-1561.\n49. Changying Du , Fuzhen Zhuang , Jia He , Qing He , Guoping Long : Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) 2016 : 148-164\n48. Yitong Li , Chuan Shi , Huidong Zhao , Fuzhen Zhuang , Bin Wu : Aspect Mining with Rating Bias. ECML/PKDD (2) 2016 : 458-474.\n47. Jing Zheng , Jian Liu , Chuan Shi , Fuzhen Zhuang , Jingzhi Li , Bin Wu : Dual Similarity Regularization for Recommendation. PAKDD (2) 2016 : 542-554.\n46. Huifang Ma , Meihuizi Jia , Xianghong Lin , Fuzhen Zhuang : Tag correlation and user social relation based microblog recommendation. IJCNN 2016 : 2424-2430.\n45. Fuzhen Zhuang , Dan Luo , Xin Jin , Hui Xiong , Ping Luo , Qing He : Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. ICDM 2015 : 1141-1146.\n44. Xin Jin , Fuzhen Zhuang , Sinno Jialin Pan , Changying Du , Ping Luo , Qing He : Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM 2015 : 1847-1850.\n43. Xin Jin , Ping Luo , Fuzhen Zhuang , Jia He , Qing He : Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM 2015 : 113-122.\n42. Fuzhen Zhuang , Xiaohu Cheng , Ping Luo , Sinno Jialin Pan , Qing He : Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015 : 4119-4125. (pdf) (Code&Data)\n41. Xiang Ao , Ping Luo , Chengkai Li , Fuzhen Zhuang , Qing He : Online Frequent Episode Mining. ICDE 2015 : 891-902.\n40. Changying Du , Shandian Zhe , Fuzhen Zhuang , Yuan Qi , Qing He , Zhongzhi Shi : Bayesian Maximum Margin Principal Component Analysis. AAAI 2015 : 2582-2588.\n39. Tianshu Feng , Fuzhen Zhuang , Qing He : Improving ESVM with Generalized Cross-Validation. IJCNN 2015 : 1-8.\n38. Xinyu Wu , Ping Luo , Qing He , Tianshu Feng , Fuzhen Zhuang : Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM 2015 : 945-953.\n37. Wenjuan Luo , Fuzhen Zhuang , Xiaohu Cheng , Qing He , Zhongzhi Shi : Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. ICDM 2014 : 380-389.\n36. Xin Jin , Fuzhen Zhuang , Hui Xiong , Changying Du , Ping Luo , Qing He : Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM 2014 : 441-450.\n35. Fuzhen Zhuang , Xiaohu Cheng , Sinno Jialin Pan , Wenchao Yu , Qing He , Zhongzhi Shi : Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) 2014 : 417-431.\n34. Changying Du , Jia He , Fuzhen Zhuang , Yuan Qi , Qing He : Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI 2014 : 255-260.\n33. Haocheng Wang , Fuzhen Zhuang , Xiang Ao , Qing He , Zhongzhi Shi : Scalable bootstrap clustering for massive data. SNPD 2014 : 1-6.\n32. Xiang Ao , Ping Luo , Chengkai Li , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Discovering and learning sensational episodes of news events. WWW (Companion Volume) 2014 : 217-218.\n31. Shuo Han , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. PAKDD (1) 2014 : 65-77.\n30. Qing He , Xiaohu Cheng , Fuzhen Zhuang , Zhongzhi Shi : Parallel feature selection using positive approximation based on MapReduce. FSKD 2014 : 397-402.\n29. Fuzhen Zhuang , Ping Luo , Peifeng Yin , Qing He , Zhongzhi Shi : Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI 2013 (Code&Data)\n28. Wenchao Yu , Guangxiang Zeng , Ping Luo , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Embedding with Autoencoder Regularization. ECML/PKDD (3) 2013 : 208-223.\n27. Xin Jin , Fuzhen Zhuang , Shuhui Wang , Qing He , Zhongzhi Shi : Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD (2) 2013 : 353-368. (Code&Data)\n26. Tianfeng Shang , Qing He , Fuzhen Zhuang , Zhongzhi Shi : A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. APWeb 2013 : 384-391.\n25. Fuzhen Zhuang , Ping Luo , Changying Du , Qing He , Zhongzhi Shi : Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM 2013 : 425-434. (pdf) (Slides) (Code&Data)\n24. Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi: Extreme Learning Machine combining matrix factorization for collaborative filtering. IJCNN 2013 : 1-8.\n23. Changying Du , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM 2012 : 191-200.\n22. Qing He , Zhi Dong , Fuzhen Zhuang , Tianfeng Shang , Zhongzhi Shi : Fast Time Series Classification Based on Infrequent Shapelets. ICMLA (1) 2012 : 215-219.\n21. Fuzhen Zhuang, Qing He , Zhongzhi Shi : Effectively Constructing Reliable Data for Cross-Domain Text Classification. Intelligent Information Processing 2012 : 16-27.\n20. Zhongzhi Shi , Bo Zhang , Fuzhen Zhuang: Improving Transfer Learning by Introspective Reasoner. Intelligent Information Processing 2012 : 28-39.\n19. Ning Li , Fuzhen Zhuang, Qing He , Zhongzhi Shi : PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. Intelligent Information Processing 2012 : 40-49.\n18. Qing He , Zhi Dong , Fuzhen Zhuang, Tianfeng Shang , Zhongzhi Shi : Parallel Decision Tree with Application to Water Quality Data Analysis. ISNN (2) 2012 : 628-637.\n17. Xiang Ao, Fuzhen Zhuang , Qing He , Zhongzhi Shi : TINAC: A fast and effective web video topic detection framework. FSKD 2012 : 1252-1256.\n16. Wenjuan Luo , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. PAKDD (1) 2012 : 392-404.\n15. Qing He , Yunlong Ma , Qun Wang , Fuzhen Zhuang, Zhongzhi Shi : Parallel Outlier Detection Using KD-Tree Based on MapReduce. CloudCom 2011 : 75-80.\n14. Xudong Ma , Ping Luo , Fuzhen Zhuang, Qing He , Zhongzhi Shi , Zhiyong Shen : Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI 2011 : 1396-1401. (pdf)\n13. Qing He , Tingting Li , Fuzhen Zhuang, Zhongzhi Shi : Frequent term based peer-to-peer text clustering . KAM 2010 : 352-355.\n12. Tingting Li , Fuzhen Zhuang, Qing He : A noise handling method for hyper surface classification. FSKD 2010 : 1484-1488.\n11. Qing He , Wenjuan Luo , Fuzhen Zhuang, Zhongzhi Shi : Local Bayesian Based Rejection Method for HSC Ensemble. ISNN (1) 2010 : 404-412.(pdf)\n10. Wenjuan Luo , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Effectively Leveraging Entropy and Relevance for Summarization. AIRS 2010 : 241-250. (pdf)\n9. Fuzhen Zhuang , Ping Luo , Zhiyong Shen , Qing He , Yuhong Xiong , Zhongzhi Shi : D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. ICDM 2010 : 709-718. (pdf)\n8. Fuzhen Zhuang , Ping Luo , Zhiyong Shen , Qing He , Yuhong Xiong , Zhongzhi Shi , Hui Xiong : Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. CIKM 2010 : 359-368. (pdf) (Code&Data CD-PLSA) (among 8 best papers, student travel award )\n7. Qing He , Fuzhen Zhuang , Jincheng Li , Zhongzhi Shi : Parallel Implementation of Classification Algorithms Based on MapReduce. RSKT 2010 : 655-662.\n6. Fuzhen Zhuang , Ping Luo , Hui Xiong , Qing He , Yuhong Xiong , Zhongzhi Shi : Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. SDM 2010 : 13-24. (pdf) (slides) (code). (among 12 best papers)\n5. Ping Luo , Fuzhen Zhuang , Hui Xiong , Yuhong Xiong , Qing He : Transfer learning from multiple source domains via consensus regularization. CIKM 2008 : 103-112. CIKM2008 (pdf) (slides) (data set) (code)\n4. Qing He , Fuzhen Zhuang , Zhongzhi Shi : The Data Selection Criteria for HSC and SVM Algorithms. ICNC (3) 2008 : 384-38. (pdf)\n3. Fuzhen Zhuang, Qing He, Zhongzhi Shi: Feature Transformation for Efficiently Improving Performance of HSC. ICMLC2008. (pdf)\n2. Fuzhen Zhuang, Qing He, Zhongzhi Shi: Multi-Agent based Automatic Evaluation System for Classification Algorithms. ICIA2008. (pdf)\n1. Qing He, Fuzhen Zhuang, Zhongzhi Shi: Enhanced Algorithm Performance for Classification Based on Hyper Surface Using Bagging and AdaBoost. ICMLC2007. (pdf)\n41. Jingjing Gu , Cheng Liu , Yi Zhuang , Xiaojiang Du , Fuzhen Zhuang , Haochao Ying , Yanchao Zhao , Mohsen Guizani : Dynamic Measurement and Data Calibration for Aerial Mobile IoT. IEEE Internet Things J. 7 ( 6 ) : 5210-5219 ( 2020 ) .\n40. Fuzhen Zhuang , Ying-Min Zhou , Haochao Ying , Fuzheng Zhang , Xiang Ao , Xing Xie , Qing He , Hui Xiong : Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. 35 ( 2 ) : 305-319 ( 2020 ) .\n39. Jia He , Changying Du , Fuzhen Zhuang , Xin Yin , Qing He , Guoping Long : Online Bayesian max-margin subspace learning for multi-view classification and regression. Mach. Learn. 109 ( 2 ) : 219-249 ( 2020 ) .\n38. Jiayu Han , Lei Zheng , Yuanbo Xu , Bangzuo Zhang , Fuzhen Zhuang , Philip S. Yu , Wanli Zuo : Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. IEEE Trans. Neural Networks Learn. Syst. 31 ( 3 ) : 737-748 ( 2020 ) .\n37. Xiaoyi Deng, Fuzhen Zhuang, Zhiguo Zhu: Neural variational collaborative filtering with side information for top-K recommendation. Int. J. Machine Learning & Cybernetics 10(11): 3273-3284 (2019)\n36. Yongchun Zhu, Fuzhen Zhuang*, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He: Multi-representation adaptation network for cross-domain image classification. Neural Networks 119: 214-221 (2019)\n35. Jia He, Fuzhen Zhuang*, Yanchi Liu, Qing He, Fen Lin: Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. 13(6): 1255-1265(2019)\n34. Ming Huang, Fuzhen Zhuang*, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He: Supervised representation learning for multi-label classification. Machine Learning 108(5): 747-763 (2019)\n33. Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He: Grid-based DBSCAN: Indexing and inference. Pattern Recognition 90: 271-284 (2019).\n32. Yuanbo Xu , Yongjian Yang , Jiayu Han , En Wang , Fuzhen Zhuang , Jingyuan Yang , Hui Xiong : NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks. Neural Networks 111 : 77-88 ( 2019 )\n31. Zhao Zhang , Fuzhen Zhuang* , Xuebing Li , Zheng-Yu Niu , Jia He , Qing He , Hui Xiong : Knowledge triple mining via multi-task learning. Inf. Syst. 80 : 64-75 ( 2019 )\n30. Ning Li , Wenjuan Luo , Kun Yang , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Self-organizing weighted incremental probabilistic latent semantic analysis. Int. J. Machine Learning & Cybernetics 9 ( 12 ) : 1987-1998 ( 2018 )\n29. Fuzhen Zhuang , Jing Zheng , Jingwu Chen , Xiangliang Zhang , Chuan Shi , Qing He : Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks 108 : 287-295 ( 2018 )\n28. Ding Xiao , Yugang Ji , Yitong Li , Fuzhen Zhuang , Chuan Shi : Coupled matrix factorization and topic modeling for aspect mining. Inf. Process. Manage. 54 ( 6 ) : 861-873 ( 2018 )\n27. Xiang Ao , Ping Luo , Chengkai Li , Fuzhen Zhuang , Qing He : Discovering and learning sensational episodes of news events. Inf. Syst. 78 : 68-80 ( 2018 ) .\n26. Fuzhen Zhuang , Xuebing Li , Xin Jin , Dapeng Zhang , Lirong Qiu , Qing He : Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE Trans. Cybernetics 48 ( 8 ) : 2284-2293 ( 2018 ).\n25. Fuzhen Zhuang , Xiaohu Cheng , Ping Luo , Sinno Jialin Pan , Qing He : Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM TIST 9 ( 2 ) : 16:1-16:17 ( 2018 ).\n24. Xiang Ao , Ping Luo , Jin Wang , Fuzhen Zhuang , Qing He : Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. 30 ( 3 ) : 530-543 ( 2018 ).\n23. Yangli-ao Geng , Qingyong Li , Rong Zheng , Fuzhen Zhuang , Ruisi He , Naixue Xiong : RECOME: A new density-based clustering algorithm using relative KNN kernel density. Inf. Sci. 436-437 : 13-30 ( 2018 ) .\n22. Fuzhen Zhuang, Zhiqiang Zhang , Mingda Qian , Chuan Shi , Xing Xie , Qing He : Representation learning via Dual-Autoencoder for recommendation. Neural Networks 90 : 83-89 (2017).\n21. Jing Zheng , Jian Liu , Chuan Shi , Fuzhen Zhuang , Jingzhi Li , Bin Wu : Recommendation in heterogeneous information network via dual similarity regularization. I. J. Data Science and Analytics 3 ( 1 ) : 35-48 ( 2017 ) .\n20. Haocheng Wang , Fuzhen Zhuang , Xin Jin , Xiang Ao , Qing He : Bag of little bootstraps on features for enhancing classification performance. Intell. Data Anal. 20 ( 5 ) : 1085-1099 ( 2016 ).\n19. Chuan Shi , Jian Liu , Fuzhen Zhuang* , Philip S. Yu , Bin Wu : Integrating heterogeneous information via flexible regularization framework for recommendation. Knowl. Inf. Syst. 49 ( 3 ) : 835-859 ( 2016 ).\n18. Wenjuan Luo , Fuzhen Zhuang* , Weizhong Zhao , Qing He , Zhongzhi Shi : QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manage. 51 (1): 25-41 (2015).\n17. Wenchao Yu , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Learning deep representations via extreme learning machines. Neurocomputing 149 : 308-315 (2015).\n16. Qing He , Haocheng Wang , Fuzhen Zhuang , Tianfeng Shang , Zhongzhi Shi : Parallel sampling from big data with uncertainty distribution. Fuzzy Sets and Systems 258 : 117-133 (2015).\n15. Shuhui Wang , Fuzhen Zhuang , Shuqiang Jiang , Qingming Huang , Qi Tian : Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval. Neurocomputing 168 : 747-760 ( 2015 ).\n14. Fuzhen Zhuang , Ping Luo , Changying Du , Qing He , Zhongzhi Shi , Hui Xiong : Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE T. Cybernetics 44 (7): 1191-1203 (2014).\n13. Qing He , Xin Jin , Changying Du , Fuzhen Zhuang , Zhongzhi Shi : Clustering in extreme learning machine feature space. Neurocomputing 128 : 88-95 (2014).\n12. Xiang Ao , Ping Luo , Xudong Ma , Fuzhen Zhuang , Qing He , Zhongzhi Shi , Zhiyong Shen : Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. 257 : 101-114 (2014).\n11. Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Xiang Ao: Energy Model for Rumor Propagation on Social Networks. Physica A: Statistical Mechanics and its Applications, 394: 99-109 (2014).\n10. Wenjuan Luo , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. Knowl.-Based Syst. 46 : 33-42 (2013).\n9. Qing He , Tianfeng Shang , Fuzhen Zhuang , Zhongzhi Shi : Parallel extreme learning machine for regression based on MapReduce. Neurocomputing 102 : 52-58 (2013). <http://www.sciencedirect.com/science/article/pii/S0925231212004213>\n8. Xin Jin , Yongquan Liang , Dongping Tian , Fuzhen Zhuang : Particle swarm optimization using dimension selection methods. Applied Mathematics and Computation 219 (10): 5185-5197 (2013).\n7. Fuzhen Zhuang , George Karypis , Xia Ning , Qing He , Zhongzhi Shi : Multi-view learning via probabilistic latent semantic analysis. Inf. Sci. 199 : 20-30 (2012). <http://www.sciencedirect.com/science/article/pii/S0020025512001788> (pdf) (Code&Data)\n6. Fuzhen Zhuang , Ping Luo , Zhiyong Shen , Qing He , Yuhong Xiong , Zhongzhi Shi , Hui Xiong : Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. IEEE Trans. Knowl. Data Eng. 24 (11): 2025-2039 (2012). <http://www.computer.org/portal/web/csdl/doi/10.1109/TKDE.2011.143>\n5. Shengmei Luo, Qing He, Lixia Liu, Xiang Ao, Ning Li, Fuzhen Zhuang: Parallel Web Mining System Based on Cloud Platform. ZTE Communications, 10(4): 45-53 (2012).\n4. Fuzhen Zhuang , Ping Luo , Hui Xiong , Qing He , Yuhong Xiong , Zhongzhi Shi : Exploiting associations between word clusters and document classes for cross-domain text categorization. Statistical Analysis and Data Mining 4 (1): 100-114 (2011). (this is the invited version of the best of SDM2010)\n3. Qing He , Changying Du , Qun Wang , Fuzhen Zhuang , Zhongzhi Shi : A parallel incremental extreme SVM classifier. Neurocomputing 74 (16): 2532-2540 (2011). <http://you.myipcn.org/science/article/pii/S0925231211002566>\n2. Fuzhen Zhuang , Ping Luo , Hui Xiong , Yuhong Xiong , Qing He , Zhongzhi Shi : Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE Trans. Knowl. Data Eng. 22 (12): 1664-1678 (2010). <http://www.computer.org/portal/web/csdl/doi/10.1109/TKDE.2009.205>\n1. Zhuang Fuzhen, Luo Ping, He Qing, Shi Zhongzhi. Inductive Transfer Learning for Unlabeled Target-domain via Hybrid Regularization. Chinese Science Bulletin, Springer, 2009, 54:2470-2478. (pdf) [code]\n11. 庄福振, 罗丹, 何清: 基于集成局部性特征学习的推荐算法. 计算机科学与探索, 2018.\n10. 庄福振, 钱明达, 申恩兆, 张大鹏, 何清: 基于 Spark 的高效并行自动编码机. 数据采集与处理, 2018.\n9. 庄福振, 罗平, 何清, 史忠植: 迁移学习研究进展. 软件学报, 2015.\n8. 李宁, 罗文娟, 庄福振, 何清, 史忠植: 基于MapReduce的并行PLSA算法及在文本挖掘中的应用. 中文信息学报, 2015.\n7. 何清, 敖翔, 庄福振, 罗平: 一种基于Hadoop的大数据挖掘云服务及应用. 信息通信技术, 2015.\n6. 马慧芳, 师亚凯, 谢蒙, 庄福振: 融合用户内容与关系结构的用户影响力算法. 计算机应用, 2015.\n5. 何清, 庄福振, 曾立, 赵卫中, 谭庆: PDMiner: 基于云计算的并行分布式数据挖掘工具平台. 中国科学:信息科学, 2014.\n4. 何清, 庄福振: 基于云计算的大数据挖掘平台. 中兴通讯技术, 2013.\n3. 何清, 庄福振: 大数据挖掘与云服务模式. 高科技与产业化, 2013.\n2. 庄福振, 罗平, 何清, 史忠植: 基于混合正则化的无标签领域的归纳迁移学习. 科学通报, 2009.\n1. 林欢欢, 庄福振, 王文杰, 史忠植: 一种新型网络信息采集器的研究. 计算机仿真, 2009.\n- IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cybernetics, IEEE Transactions on Signal Processing, Transactions on Asian Language Information Processing, IEEE Transactions on Big Data, Journal of Computer Science and Technology, IEEE Signal Processing Letters, InformationSciences, International Journal of Machine Learning and Cybernetics, Fuzzy Sets Systems, Neurocomputing, International Journal of Computational Intelligence Systems, Frontiers of Computer Science\nConference PC Members\n- WAIM 2013/2014/2015/2016, ICNC-FSKD2012, NCIIP 2013/2015/2017, Cognitive 2014/2015\n- PRIMA 2016, IIP 2016, IJCNN 2016, PRICAI 2018, CCML 2015/2017, CCDM 2018\n- KDD 2015/2016/2018\n- CIKM 2017/2018, WSDM 2017, ACL 2018, PAKDD 2018\n- IJCAI 2015/2016/2018, AAAI 2017/2018/2019\n- IJCAI 2018\n- PAKDD 2019\n- AAA 2020\n- The co-chair of the 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer\n1. The Champion of Data Mining Competition of IJCAI 2015.\n2. Best Doctoral Dissertation Award, Chinese Association for Artificial Intelligence, 2013.\n3. President's Excellent Award, Chinese Academy of Sciences, 2011.\n4. Outstanding Graduate Student, Graduate University of Chinese Academy of Sciences, 2011.\n5. Best Paper Candidate & Student Travel Award, ACM CIKM 2010, “Collaborative Dual-PLSA: Mining Distinction and Commonality across MultipleDomains for Classification".\n6. Best Paper Candidate, SIAM SDM 2010, “Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization".\n1. Transfer Learning Open Source Software List. [Link]\n2. Computer Science Conference deadline 2012. [Link]\n3. Transfer learning toolkit implemented in matlab. [Link]\nThe little software, please try：\n1). ImageRetrievalSystem download Iintroduction\n2). QASystem download\n3). BMPDISPLAY download\n4). Ticktacktoe download\nVisits since March 19, 2010:\nLast Modified: July. 25, 2019


url: =Time Travel Flashbacks | Vilya's Workblog\nposted by Vilya on Thursday, May 26, 2016 2 comments\nUnknown 26 May 2016 at 20:15\nIm no artist, but I like 1. 5 is really cool too, a close second!\nUnknown 27 May 2016 at 21:47\nI really like the sepia tone from 5 but I prefer the pink trees from 4 xD.


url: =Yonghong Hou - researchr alias\nPublications by 'Yonghong Hou'\nDevelopment of smart nursing homes using systems engineering methodologies in industry 4.0Fengming Cui, Liang Ma 0001, Guofeng Hou, Zhibo Pang, Yonghong Hou, Lefei Li. eis, 14(4):463-479, 2020. [doi]\nSingle Image De-Raining via Generative Adversarial NetsShichao Li, Yonghong Hou, Huanjing Yue, Zihui Guo. icmcs 2019: 1192-1197 [doi]\nAnalysis of Simplified Frame Synchronization Scheme for Burst-Mode Multi-Carrier SystemHaoyuan Zhang, Yonghong Hou, Yanfang Chen, Shuo Li 0003. icl, 23(6):1054-1056, 2019. [doi]\nA Novel Receiver Design for HACO-OFDM by Time-Domain Clipping Noise EliminationTao Wang 0028, Yonghong Hou, Maode Ma. icl, 22(9):1862-1865, 2018. [doi]\nUser-Experience-Oriented Fuzzy Logic Controller for Adaptive StreamingYonghong Hou, Lin Xue, Shuo Li 0003, Jiaming Xing. cj, 61(7):1064-1074, 2018. [doi]\nCombining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifierShuang Wang, Yonghong Hou, Zhaoyang Li, Jiarong Dong, Chang Tang. mta, 77(15):18983-18998, 2018. [doi]\nNear-Optimal Cross-Layer Forward Error Correction Using Raptor and RCPC Codes for Prioritized Video Transmission Over Wireless ChannelsYonghong Hou, Jianming Xu, Wei Xiang, Maode Ma, Jianjun Lei. tcsv, 27(9):2028-2040, 2017. [doi]\nA novel rate control algorithm for video coding based on fuzzy-PID controllerYonghong Hou, Pichao Wang, Wei Xiang, Zhimin Gao, Chunping Hou. sivp, 9(4):875-884, 2015. [doi]\nPerformance Optimization of Digital Spectrum Analyzer With Gaussian Input SignalYonghong Hou, Guihua Liu, Qing Wang, Wei Xiang. spl, 20(1):31-34, 2013. [doi]


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url: =OSA Publishing > Optics Letters > Volume 38 > Issue 5 > Page 670\nJiulin Gan, Jiali Chen, Shanhui Xu, Zhongmin Yang,* and Zhonghong Jiang\nAppl. Opt. 57(4) 602-606 (2018)


url: =Lechang Pictures | Lechang Travel Photos | Photos of Great Spots Posted on Trip Moments\nAbout Lechang: Lechang (乐昌) is situated in Northern Guangdong Province. It is known as the northern gate of Guangdong and is inhabited by the Hakka people. Lechang offers unique landscapes and beautiful scenery comprising Danxia landforms, karst landforms, lava caves and subterranean rivers. The region is also home to hot springs. Jinji Ridge (literally “Rooster Ridge”) is located in Pingshi Town, and is so named as the northwestern peak resembles a rooster. The area also has a large limestone cave, the ancient Buddha rock, which gets its name from the ancient Buddhist temple that once stood at the cave entrance. The stalactites in the cave form various types of stalagmites, “stone flower” lichens, and more, collectively referred to as the “three palaces and four halls.”\nPopular Attractions: Ancient Buddha Rock Cave, Golden Rooster Mountain, Yunmen Mountain Natural Scenic Area, Mount Danxia, Jiufeng Town\nMore Lechang guides\nPopular Attractions in Lechang\nBrowse popular attractions by category: Parks | City Park | Amusement Park | Water Park | Botanical Garden | Theme Park | Zoo | Aquarium | Ferris Wheel | Architecture | Square | Garden | Observation Deck | Nature | Mountain | Forest | Ornamental Hot spring | Lake | Waterfall | River\nRecommended Hotels and Places to Stay in Lechang\nAncient Buddha Rock Cave | Jiufeng Town | Jiufeng Town Flower Sea | Golden Rooster Mountain | Mount Danxia | Yunmen Mountain Natural Scenic Area | Nanling National Forest Park | Mangshan· Wuzhifeng Sceneic Area | Mangshan National Forest Park | Yunmen Temple | Shaoguan Guangdong First Peak | Bibei Yao Village | Nanhua Temple | Ruyuan Tianjing Mountain Xianren Bridge | Guangdong Great Canyon | Danxia Mountain Sex Culture Museum | Dongjiang Lake Scenic Area | Yangyuan Mountain | Mount Jiulong (Nine Dragons Mountain) National Forest Park | Shaoguan National Forest Park | Yin Stone | Fengcai Building | Yangtian Lake | Lingxi River Forest Tourist Resort | Xianglong Lake | Nanshui Reservoir | Tiantai Mountain of Mangshan | Jinglulun Culture and Tourism Village | Maozi Peak Forest Farm | Nanfang Hongdoushan Forest Park\nRenhua Travel | Ruyuan Travel | Nanxiong Travel | Xinfeng Travel | Shixing Travel | Lechang Travel | Wengyuan Travel


url: =Address: No. 81, Lane 1129, Nanjing West Road\nThe environment is not bad, the reservation is very good!\nFormer Residence of Liu Zhan'en Attractions | Rongzongjing Former Residence Attractions | Former Residence of Ding Jifeng Attractions | Jing'an Villa Attractions | Wenxin Newspaper Industry Mansion Attractions | Dahan Art Gallery Attractions | Hanglung Plaza Attractions | West Nanjing Road Attractions | Shanghai Juvenile Children Library Attractions | Wenkezheng Former Residence （East Gate） Attractions | Weihai Road Attractions | Dengqiumei Former Residence Attractions | Songjia Laozhai Attractions | Wu Meisun Former Residence Attractions | Former Residence of Xu Chongzhi Attractions | Beijing West Road Attractions | Jing'an Workers' Century Park Attractions | Huai'en Christian Church Shanghai Attractions | United States Department of Commerce Convention Center Attractions | Former Residence of Mao Zedong Attractions | Former Residence of Tung Attractions | Nade Gallery Attractions | Former Site of Shanghai Telephone Company-Taixing Road Branch Attractions | Youyi Auditorium Attractions | Dianshang Gallery (maomingbeilu) Attractions | Shanghai Exhibition Center Attractions | Hengshan Moller Villa Hotel Attractions | Anjiedangdai Art Gallery Attractions | Maoming Road Attractions | Wujiang Road Attractions\nShanghai Travel | Sanya Travel | Hong Kong Travel | Guangzhou Travel | Beijing Travel | Shenzhen Travel | Harbin Travel | Macau Travel | Hangzhou Travel | Suzhou Travel | Nanjing Travel | Chengdu Travel | Xiamen Travel | Taipei Travel | Xishuangbanna Travel | Lijiang Travel | Xi'an Travel | Kunming Travel | Chongqing Travel | Zhuhai Travel | Ningbo Travel | Guilin Travel | Haikou Travel | Dali Travel | Changsha Travel | Qingdao Travel | Yangshuo Travel | Dalian Travel | Shangri-La Travel | Yiwu Travel


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China (Mainland)\nscrew design: double screw Port: Shanghai port application: pvc wpc windows and door profile Minimum Order Quantity: 1 Set/Sets offer spare parts Place of Origin: Jiangsu China (Mainland) Payment Terms: L/C,T/T,Western Union,cash Model Number: YF Packaging Detail: wooden case and PE film covered. product width: 120-1200mm raw material: pvc, wood powder output: 18-600kg/h Application: Profile Plastic Processed: PVC Condition: New Delivery Detail: 30-45days cetificate: CE certification Supply Ability: 200 Set/Sets per Year offer different voltage Screw Design: Double-screw Brand Name: Qiangsheng\ndoor board production machinery pvc door window extrusion line pvc profile extruding machine\nCoated white board paper machinery\nDandong Tianshin Automation Technology Co., Ltd. China (Mainland)\nFOB Price: US $ 500,000 - 5,000,000 / Unit Design Type: Project Design Service Port: Dalian Brand Name: Tianshin Drive: AC Variable Frequency drive Model Number: Customized Certification: ISO2000 Installation Type: Supervision Place of Origin: Liaoning China (Mainland) Payment Terms: L/C,T/T Minimum Order Quantity: 1 Unit/Units set Product Type: Paper Machine Supply Ability: 2 Unit/Units per Quarter Stand Processing Type: Paper Machine\ncorrugated board machinery white board coated white board\nHubei Jinyi Industrial Co., Ltd. China (Mainland)\nPort: Wuhan FOB Price: US $12,000 - 15,000 / Set Minimum Order Quantity: 1 Set/Sets Supply Ability: 50 Set/Sets per Month Payment Terms: L/C,T/T,Western Union\nfiber cement board machinery corrugated board machinery fiber board machinery\nLianyungang Zhongli International Trade Co., Ltd. China (Mainland)\nXPS Foaming Board Machinery (600~900mm width)\nLaiwu Fengliyuan Plastic Machinery Co., Ltd. China (Mainland)\nthickness: 25~90mm Port: Qingdao port total power: 260 kg/h Model Number: FLY150 Payment Terms: L/C,T/T Product Type: Plastic Sheet width: 600~900mm color: To the need Processing Type: Foaming Machine output: 50000~70000m3/year Place of Origin: Shandong China (Mainland) Condition: New extruder: 135/33; 150/35 item: xps foam board material: XPS/EPE/EPS Certification: ISO9001 board density: 30~35kg/m3 Supply Ability: 18 Set/Sets per Month Processing: Extrusion and foam Brand Name: FLY\nfoaming board machinery


url: =Jikan Ryokou | E.G.family Wiki | Fandom\n"Jikan Ryokou" (時間旅行; Time Travel) is a song recorded and released by Flower. It was released on March 4, 2015 as the song #12 of Flower's second album Hanadokei.\nRetrieved from "https://e-girls.fandom.com/wiki/Jikan_Ryokou?oldid=12992"


url: = jiansheng 監生 (www.chinaknowledge.de)\njiansheng 監生, university student\nJul 22, 2017 © Ulrich Theobald\nThe "academic title" (zige 資格) of "university student" (jiansheng 監生) was used by students enrolled (yiye 肄業) at the National University (taixue 太學), which stood under the Directorate of Education (guozijian 國子監). It was regularly used during the Ming 明 (1368-1644) and Qing 清 (1644-1911) periods, but appeared as early as 807, during the Tang period 唐 (618-907).\nNormally the title was bestowed on imperial order after the applicants had passed a special examination, yet there were also other methods of obtaining it. University students were therefore divided into the classes of university student by metropolitan examination (jujian 舉監, ju jiansheng 舉監生), university student having passed the provincial examination (gongjian 貢監, gong jiansheng 貢監生), university student by imperial grace (enjian 恩監, en jiansheng 恩監生), university student by inheritance (yinjian 蔭監, yin jiansheng 蔭監生, also written 廕監生, if father and grandfather had already attended the National University) and university student by excellent performance, recommended by the provincial authorites (youjian 優監, you jiansheng 優監生).\nIf a student had obtained the title by purchase (see contribution), he was called lijian 例監 (li jiansheng 例監生) or juanjian 捐監 (juan jiansheng 捐監生). Depending on the sum paid, such "purchased privileges" corresponded to the examination ranks of excess-quota university student (zengjian 增監, zeng jiansheng 增監生) or additional university students (fujian 附監, fu jiansheng 附監生).\nThere were also non-Chinese students allowed, for instance, from Korea, who were called yisheng 夷生 "barbarian students", and such from native tribes in southwest China which were called tuguansheng 土官生.\nIn the late Qing period, the purchase of the jiansheng title was so common that it was just a brevet title, without the right to attend the National University.\nStudents hailing from the Eight Banners (baqi 八旗) were all university students by grace (enjian).\nIn addition to that, the sons of state officials with the ranks 4 (capital) and 3 (province) or higher could also be given the privilege of inheritance in case the father had died. They were called nanyin jiansheng 難廕監生 "university students of inheritance as orphans".\nThe term sheng-jian 生監 is an aggregation of the words shengyuan 生員 "government students" and jiansheng "university students". Both refer to students enrolled at a government school, the former to such at local schools, the latter to those at the National University.\nLi Bingzhong 李秉忠, Wie Canjin 衛燦金, Lin Conglong 林從龍, ed. (1990). Jianming wenshi zhishi cidian 簡明文史知識詞典 (Xi'an: Shaanxi renmin chubanshe), 446.\nLiu Jinghua 劉經華 (1998). "Jiansheng 監生", in Tang Jiahong 唐嘉弘, ed. Zhongguo gudain dianzhang zhidu da cidian 中國古代典章制度大辭典 (Zhengzhou: Zhongzhou guji chubanshe), 374.\nWang Linghao 王凌皓 (1996). "Jiansheng 監生", in Feng Kezheng 馮克正, Fu Qingsheng 傅慶升, ed. Zhuzi baijia da cidian 諸子百家大辭典 (Shenyang: Liaoning renmin chubanshe), 940.\nZhang Liangcai 張良才 (1997). "Jiansheng 監生", in Men Kui 門巋, Zhang Yanjin 張燕瑾, ed. Zhonghua guocui da cidian 中華國粹大辭典 (Xianggang: Guoji wenhua chuban gongsi), 268.


url: =Geoscience Modeling and Visualization of Fault in 3D--《Journal of Jiling University (Earth Science Edition)》2004年S1期\n《Journal of Jiling University (Earth Science Edition)》 2004-S1\nGeoscience Modeling and Visualization of Fault in 3D\nLIU Jin, LI Shao-hu (Faculty of Earth Resoures, China University of Geosciences, Wuhan 430074, China)\nModeling and visualization of fault in 3D is the premise and foundation of it's dynamic modeling. This paper discuss the data model and interpolation method, then suggests a kind of technical approach which combine the mixed interpolation method and B-Rep model applied in fault modeling. By using the Geoview 3D Geoscience modeling and visualization software, and applied this technical approach and software system to the simulation of the 3D tectonic-stratigraphic framework in the east of Linqing depression, the result is successful.\n2 WU Xing-hua,YAO Ling-kan(School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China);Management of Landslide Hazard along Xichang-Panzhihua Expressway Based on GIS[J];Surveying and Mapping of Sichuan;2006-02\n3 LIU Yu-juan ZHAO Shu-xian(Institute of Crustal Dynamics, CEA, Beijing 100085);Structure Modeling and 3D Visualization of Active Fault[J];;2007-00\n4 LIU Guo-hua1,ZHANG Cheng-shuai2,SUN Li-shuang2,LI Peng-fei2(1.The Land Resources Information Center of Liaoning Province,Shenyang 110032,China;2.Institute of Resource&Civil Engineering Northeast University,Shenyang 110004,China);The Applications of MapEngine,Micromine,MapGIS in the Establishment of the Liaoning Provincial Management of Mineral Resources in the Database Space[J];Non-Ferrous Mining and Metallurgy;2008-03\n1 Tian Yiping Yuan Yanbin Li Shaohu Wu Chonglong (Faculty of Earth Resources, China University of Geosciences, Wuhan430074, China)$$$$;INTERPOLATION METHOD FOR ESTABLISHING 3-D TECTONIC-STRATIGRAPHIC BASIN FRAMEWORK[J];;2000-02\n2 CAO Dai-yong,LI qing-yuan,ZHU Xiao-di,ZHOU Yun-xia;STUDY ON THE 3D VISUAL MODEL OF GEOLOGICAL STRUCTURE[J];Geology and Prospecting;2001-04\n3 HUANG Yu-yu (Beijing University of Aeronautics and Astronautics, Beijing 100083, China) CHEN Shao-qiang (China University of Geology, Beijing 100083, China);Geologic Modeling by Marching Cube[J];Journal of Engineering Graphics;2002-02\n5 LI Qing yuan1,ZHU Xiao di2,CAO Dai yong2（ 1.China Academy of Survey＆ Mapping， Beijing 100039,China； 2.China University of Mining and Technology， Beijing 100083,China）;Data Model of 3D Geological Model[J];COAL GEOLOGY OF CHINA;2000-03\n3 CHEN Sheng-bo(College of GeoExploration Science and Technology,Jilin University,Changchun,130026,China);Three-Dimension Visualization for Texture in Western Slope of Songliao Basin[J];Journal of Jiling University (Earth Science Edition);2005-S1\n5 WEN Xue-dong①,LU Xiu-shan①,LI Qing-yuan②,WEI Zhan-ying②(①Shandong University of Science and Technology,Qingdao,271019,China;②Chinese Academy of Surveying and Mapping,Beijing,100039,China);Study of 3D geo-spatial modeling based on tri-prism volume[J];Science of Surveying and Mapping;2005-05\n7 CHE De-fu1,WU Li-xin1,2,YIN Zuo-ru3 (1. Institute for RS/GPS/GIS & Digital Mine Research,Northeast University,Shenyang 110004,China; 2. Institute of RS/GPS/GIS & Subsidence Engineering,China University of Mining and Technology,Beijing 100083,China; 3. Kailuan (Group) Limited Liability Corporation,Tangshan 063000,China);A Real 3D Modeling Method for Complex Geological Bodies Based on GTP:Rock Pillar Body Partition Modeling[J];Geomatics World;2008-01\n8 WANG Yongli~1 LEI Lei~2 QI Bo~1 1.Tianjin Institute of Geological Survey,Tianjin 300191; 2.College of Earth Science and Land Resources,Chang'an University,Xi'an 710054;Urban Geological Survey Supported by the 3-D GIS[J];City Geology;2008-01\n9 LIU Jin-zhong ,ZHANG Ling-ling,CHENG Qian(Huludao Planning DepL. , Huludao 125000,China;Liaoning Technical University, Fuxin 123000,China);Study on 3D Mine Modeling[J];Geomatics & Spatial Information Technology;2004-04\n10 SHI Yun-fei~(1),ZHANG Ling-ling~(1),WANG Feng~(2 ),CHENG Qian~(1) (1.Liaoning Technical University Surveying Department, Fuxin 123000,China; 2.Liaoning Provincial Geomatics Center, Shenyang 110034,China );The Application of a Fast Three-dimension Modeling Method in Geological Simulation[J];Geomatics & Spatial Information Technology;2005-03\n2 ZHU Da\_|pei (Beijing University of Aeronautics and Astronautics, Dept. of Computer Science and Engineering) NIU Wen\_|jie (University of Petroleum of China, Dept. of Mechanics) YANG Qin\_ XIONG Zhang (Beijing University of Aeronautics and Astronautics,;3 Dimension Visualization for Geology-Constructed-Model[J];Journal of Beijing University of Aeronautics and Astronautics;2001-04\n3 LI Cuiping, LI Zhongxue, HU NailianMining Research Institute, UST Beijing, Beijing 100083, China;A Method for Spatialization and Regularization of Geological Data in the Volume Visualization of Mineral Deposits[J];Journal of University of Science and Technology Beijing;2002-06\n4 SENG Dewen, LI Zhongxue, LI Chunmin, LI Cuiping Civil and Environmental Engineering School, University of Science and Technology Beijing, Beijing 100083, China;3D Visual Modeling System for Mineral Deposits[J];Journal of University of Science and Technology Beijing;2004-05\n5 XU Hui_ping 1, ZHOU Yun_xuan 1,2 , SUN Yun_sheng 1,WANG Lei 1, CHEN Sheng_bo 1 (1.Changchun University of Science and Technology, Changchun 130026,China; 2.Changchun Institution of Geography, Academy of Science of China, Changchun 130021, China;GEOGRAPHIC INFORMATION SYSTEM CODING OF GLOBAL GEOSCIENCE TRANSECTS[J];JOURNAL OF CHANGCHUN UNIVERSITY OF SCIENCE AND TECHNOLOGY;2000-02\n7 CHENG Peng-gen~(1,2 ), LIU Shao-hua~(1,4) , WANG Wei~(2),CHEN Hong-hua~(3) (1. Department of Surveying East China Institute of Technology, Fuzhou344000,China; 2. National Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University, Wuhan430079,China; 3. College of Civil Engineering of Nanjing Forestry University, Nanjing210000,China; 4. Jianghan Petroleum Institute, Jingzhou434023,China);Study and application of a new 3D geological model construction method[J];Journal of Jiling University (Earth Science Edition);2004-02\n8 ZHANG Jun-yan~(1),HAN Wen-xiu~(1),LIU Dong-hai~(2)(1.School of Management,Tianjin University,Tianjin 300072,China;2.School of Civil Engineering,Tianjin University,Tianjin 300072,China);Intelligent Methods and Its Application forGeological Trend Surface Analysis[J];Journal of Jiling University (Earth Science Edition);2005-01\n10 ZHANG Feng1,LIANG Yi-hong1,CHEN Guo-hua1,2,JIAO Sen31.College of Earth Sciences,Jilin University,Changchun 130061,China2.Northeast Asia Subsidiary Company of the Minerals Exploration,Zijin Mining Group Co.,Ltd,Changchun 130012,China3.The Bureau of Geology and Mining of China Chemical Industry,Beijing 100101,China;Study on 3D Spatial Shape of Ore Bodies Based on 3D MAX[J];Journal of Jilin University(Earth Science Edition);2007-01\n1 Chenshuming Wangmanchun Liu huijie Zhangminshan (Beijing Geotechnical Institute, 100038);Three-dimensional Geotechnical Layer Geology Digitization & Person Computer Realizing[A];[C];2002\n1 ZHONG Denghua,GUO Xiang(College of Civil Engineering,Tianjin University,Tianjin 300072);3D parametric design method for underground powerhouse of hydropower engineering[J];Journal of Hydroelectric Engineering;2009-01\n2 SONG Hai-liang,WANG Shuai,LIU Jie,ZHONG Deng-hua(School of Civil Engineering,Tianjin University,Tianjin 300072,China);Three-dimensional visualized analysis and application of geological information of large underground cavern groups[J];Advances in Science and Technology of Water Resources;2007-06\n3 WU Jun,JIA Yu(The College of Applied Nuclear Technology Automation Engineering,Chengdu University of Technolong,Chengdu 610059,China).;THE RAPID RAY TRACING OF COMPLEX THREE-DIMENSIONAL MEDIA[J];Computing Techniques for Geophysical and Geochemical Exploration;2008-06\n4 Peng Rentao1,2,Yao Lingkan1 and Luo Jing1(1.School of Civil Engineering,Southwest Jiaotong University, Chengdu 610031,China;2.School of Environment and Resources,Southwest University of Scienceand Technology,Mianyang 621010,China);Management System for Hazard Prevention of Mountain Area Freeway Based on GIS——An Example from Xichang-Tianfang Expressway[J];Journal of Catastrophology;2008-01\n1 Han Guojian. Guo Dazhi Jin. Xuelin(China Universitg of Mining and Technology);STORAGE AND INDEXING OF OREBODYINFORMATION USING OCTREES[J];Acta Geodaetica Et Cartographic Sinica;1992-01\n2 Guo Dazhi. Yang Weiping. Han Guojian(China University of Mining and Technology);A SPATIAL AND TEMPORAL 4-D DATAMODEL FOR MINE GIS[J];Acta Geodaetica Et Cartographic Sinica;1993-01\n3 Li Deren, Li Qingquan (Wuhan Technical University of Surveying and Mapping, 430070);STUDY ON A HYBRID DATA STRUCTURE IN 3D GIS[J];ACTA GEODAETICA ET CARTOGRAPHICA SINICA;1997-02\n4 Chen Gang (Cartography Dept. Zhengzhou Institute of Surveying and Mapping, 450052);A VIRTUAL TERRAIN SIMULATION,BASED ON THE MAP DATA AND ACCORDING WITH THE REGULAR PATTERN OF VISION[J];ACTA GEODAETICA ET CARTOGRAPHIC SINICA;1997-03\n5 Chen Jun ①② , Guo Wei ② (①National Geomatics Center, 1 Baisheng Village, Zizhuyuan, Beijing,China, 100044) (②LIESMARS,WTUSM,39 Luoyu Road, Wuhan, China,430070);A 3D TOPOLOGICAL ER MODEL BASED ON SPACE PARTITIONING[J];ACTA GEODAETICA ET CARTOGRAPHIC SINICA;1998-04\n6 Li Qingquan, Li Deren (Wuhan Technical University of Surveying and Mapping, Wu han,430070);RESEARCH ON THE CONCEPTUAL FRAME OF THE INTEGRATION OF 3D SPATIAL DATA MODEL[J];ACTA GEODAETICA ET CARTOGRAPHIC SINICA;1998-04\n7 Zhao Pengda Meng Xianguo (China University of Geosciences, Wuhan 430074);QUANTIFICATION AND GEOSCIENCES[J];;1992-S1\n8 Wu Chonglong (China University of Geosciences, Wuhan 430074) Zhang Hongnian (Institute of Petroleum Geology , MGMR, Beijing 100083) Zhou Jiangyu (China University of Geosciences, Wuhan 430074);ON THEORETICAL PROBLEMS IN BASIN MODELLING[J];;1993-06\n9 Mao Xiaoping(Department of Applied Geophysics,China University of Geosciences, Wuhan 430074)Wu Chonglong ;Yuan Yanbin(Institute of Geology and Mineral Reources Information System,China University of Geosciences, Wuhan 430074);THREE DIMENSIONAL STRUCTURAL MODELING: VOLUME-BALANCE TECHNIQUE[J];;1999-05\n10 Tian Yiping Yuan Yanbin Li Shaohu Wu Chonglong (Faculty of Earth Resources, China University of Geosciences, Wuhan430074, China)$$$$;INTERPOLATION METHOD FOR ESTABLISHING 3-D TECTONIC-STRATIGRAPHIC BASIN FRAMEWORK[J];;2000-02


url: =Spider-Man Superhero Movie Wall Sticker Decal WC13 - Decalz.co\nHome Spider-Man Superhero Movie Wall Sticker Decal WC13\nSpider-Man Superhero Movie Wall Sticker Decal WC13\n1. REGULAR: 55x33 cm (21.5"x13" Inches)\n2. LARGE: 85x52 cm (33.5"x20.5" Inches)\n3. HUGE: 125x76 cm (49"x30" Inches)\n4. GIANT: 165x100 cm (65"x39.5" Inches)


url: = Xiong Yang! Did not look! - Chinese cell phone ring tones Net\n上一篇：Short message of nifty mobile phone\n下一篇：Raise pig knowledge lecture this to come here end