庄福振

庄福振 博士

副研究员

zhuangfz[at]ics.ict.ac.cn

自勉:努力总是可以得到超出期望的效果。

Homepage: http://www.intsci.ac.cn/users/zhuangfuzhen/index.htm

教育背景
1999.9~2002.7 平和一中
2002.9~2006.7 重庆大学计算机学院
2006.9~2011.7 中国科学院计算技术研究所
研究方向
机器学习,数据挖掘,迁移学习,并行大数据挖掘算法.

Accepted Papers:

1. Xin Jin, Fuzhen Zhuang, Shuihui Wang, Qing He, Zhongzhi Shi: Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD 2013. (Code&Data)
2. Wenchao Yu, Ping Luo, Guangxiang Zeng, Fuzhen Zhuang, Qing He, Zhongzhi Shi: Embedding with Autoencoder Regularization. ECML/PKDD 2013.
3. Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi: Concept Learning for Cross-domain Text Classification: a General Probabilistic Framework. IJCAI, 2013.
4. Tianfeng Shang , Qing He , Fuzhen Zhuang , Zhongzhi Shi : Extreme Learning Machine Combining Matrix Factorization for Collaborative Filtering. International Joint Conference on Neural Networks (IJCNN), 2013.
5. Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi: Clustering in Extreme Learning Machine Feature Space. Neurocomputing 2013.

Publication Conference Papers:

Year 2013
1. Tianfeng Shang , Qing He , Fuzhen Zhuang , Zhongzhi Shi : A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. APWeb 2013 : 384-391.
2. 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)

Year 2012
1. Changying Du , Fuzhen Zhuang , Qing He , Zhongzhi Shi : Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM 2012 : 191-200
2. Qing He , Zhi Dong , Fuzhen Zhuang , Tianfeng Shang , Zhongzhi Shi : Fast Time Series Classification Based on Infrequent Shapelets. ICMLA (1) 2012 : 215-219
3. Fuzhen Zhuang, Qing He , Zhongzhi Shi : Effectively Constructing Reliable Data for Cross-Domain Text Classification. Intelligent Information Processing 2012 : 16-27
4. Zhongzhi Shi , Bo Zhang , Fuzhen Zhuang: Improving Transfer Learning by Introspective Reasoner. Intelligent Information Processing 2012 : 28-39
5. Ning Li , Fuzhen Zhuang, Qing He , Zhongzhi Shi : PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. Intelligent Information Processing 2012 : 40-49
6. 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.
7. Xiang Ao, Fuzhen Zhuang , Qing He , Zhongzhi Shi : TINAC: A fast and effective web video topic detection framework. FSKD 2012 : 1252-1256.
8. Wenjuan Luo, Fuzhen Zhuang , Qing He , Zhongzhi Shi : Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. PAKDD (1) 2012 : 392-404.

Year 2011
1. Qing He , Yunlong Ma , Qun Wang , Fuzhen Zhuang, Zhongzhi Shi : Parallel Outlier Detection Using KD-Tree Based on MapReduce. CloudCom 2011 : 75-80.
2. 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)

Year 2010
1. Qing He , Tingting Li , Fuzhen Zhuang, Zhongzhi Shi : Frequent term based peer-to-peer text clustering . KAM 2010 : 352-355.
2. Tingting Li , Fuzhen Zhuang, Qing He : A noise handling method for hyper surface classification. FSKD 2010 : 1484-1488.
3. Qing He , Wenjuan Luo , Fuzhen Zhuang, Zhongzhi Shi : Local Bayesian Based Rejection Method for HSC Ensemble. ISNN (1) 2010 : 404-412.(pdf)
4. Wenjuan Luo, Fuzhen Zhuang , Qing He , Zhongzhi Shi : Effectively Leveraging Entropy and Relevance for Summarization. AAIRS 2010 : 241-250. (pdf)
5. 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)
6. 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 )
7. Qing He , Fuzhen Zhuang , Jincheng Li , Zhongzhi Shi : Parallel Implementation of Classification Algorithms Based on MapReduce. RSKT 2010 : 655-662.
8. 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)

Year 2008
1. 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)
2. Qing He, Fuzhen Zhuang, Zhongzhi Shi: The Data Selection Criteria for HSC and SVM Algorithms. ICNC2008 (pdf)
3. Fuzhen Zhuang, Qing He, Zhongzhi Shi: Feature Transformation for Efficiently Improving Performance of HSC. ICMLC2008 (pdf)
4. Fuzhen Zhuang, Qing He, Zhongzhi Shi: Multi-Agent based Automatic Evaluation System for Classification Algorithms. ICIA2008 (pdf)

Year 2007
1. Qing He, Fuzhen Zhuang, Zhongzhi Shi: Enhanced Algorithm Performance for Classification Based on Hyper Surface Using Bagging and AdaBoost. ICMLC2007 (pdf)

Publication Journal Papers:

Year 2013
1. 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)
2. 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>
3. Xin Jin , Yongquan Liang , Dongping Tian , Fuzhen Zhuang : Particle swarm optimization using dimension selection methods. Applied Mathematics and Computation 219 (10): 5185-5197 (2013)

Year 2012
1. 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)
2. 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>
3. 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).

Year 2011
1. 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)
2. 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>

Year 2010
1. 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>

Year 2009
1. 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].