Zhi-Hong Deng

Professor

Department of Machine Intelligence
School of Electronics Engineering and Computer Science
Peking University, Beijing, China  100871 
Office: Room 2318 Science Buildings 2
Phone:  +86-10-62755592
E-mail: zhdeng@pku.edu.cn

中文简历 


Short Biography

Zhi-Hong Deng received his B.Sc.in Applied Mathematics from Zhejiang University, China, in 1994, and the M.S. and the Ph.D. degrees, both in Computer Science, from Peking University, in 2000 and 2003 respectively.

He is a Professor in Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University.


|| Research || Professional Services || Publications || Teaching || SIGMA Group || International Conferences ||


Research

My current research interests mainly include Deep Learning and NLP, Machine Learning, Big Data and Data Science.

My google scholar profile

Ongoing Projects: 

  1. Key Technology of human-like knowledge understanding and inference for elementary education. National High-tech R&D Program (863 Program) under Grant No. 2015AA015403. (Major Member, PI of sub-project). (2015.1 - 2017.12)

 

Finished Projects (Selected):

  1. Research on Key Technologies of Keyword Retrieval System for Large-Scale XML Documents. National Natural Science Foundation of China (NSFC) under Grant No.  61170091 (PI) (2012.1 - 2015.12)
  2. On constructing and mining personal information portal. Huawei Innovation Research Project. (PI) (2011.3 – 2013.3)
  3. A System for Analyzing and Mining Academic Information from Bibliographic Databases. National 211 Project of Chinese Ministry of Education (PI) (2011.5 - 2012.5)
  4. Searching and Mining Social Network Data. The Project of State Key Lab of Computer Science, Institute of Software, Chinese Academy of Sciences (PI). (2010.3 - 2012.6)
  5. Research on the Standards of GRID. National Natural Science Foundation of China (NSFC) under Grant No.90812001(Major Member, Co-PI of sub-project).(2009.1 - 2011.12)
  6. Research on High Performance Keyword-based Retrieval System for XML Documents. National High-tech R&D Program (863 Program) under Grant No. 2009AA01Z136. (PI). (2009.1 - 2010.12) 
  7. Principal Investigator, Research on Searching XML Documents. PKU-FUJITSU Young Scholar Foundation. (2006.7 - 2008.6) 
  8. A WebGIS-Based Spatio-Temporary Retrieval System for Rare Books. China NSF International Collaboration Funding. (2002-2005)
  9. Massive Information Integration, Analysis and Service. Projects 973. (1999-2004) 

 


Professional Services

Professional Organization Memberships

1. Senior Member of China Association of Artificial Intelligence (CAAI)

2. Senior Member of China Computer Federation (CCF)

3. Member of Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE)

 

Editorial Board Member

International Journal of Applied Systemic Studies (IJASS, 2006)

International Journal on Data Mining and Intelligent Information Technology Applications (IJMIA, 2011)

Conference Organization

 

Publicity Co-chair:

PAKDD 2013

Program Committee Member:

AAAI 2017; DEXA 2017; DATA ANALYTICS 2017

AAAI 2016; DEXA 2016; BIS 2016; DATA ANALYTICS 2016

IJCAI 2015; DEXA 2015; BIS 2015; DATA ANALYTICS 2015; BUSTECH 2015; NLPCC 2015

DEXA 2014; BUSTECH 2014; IEEE SITIS 2014; NLPCC 2014

DEXA 2013; ACM SAC ASIIS 2013; ADMA 2013; BUSTECH 2013; MEDES 2013

DEXA 2012; ACM SAC ASIIS 2012; ADMA 2012; BIS 2012; BUSTECH 2012; ACAI 2012

DEXA 2011; ACM SAC ASIIS 2011; BIS 2011; ADMA 2011; BUSTECH 2011; MEDES 2011; NCSC 2011

DEXA 2010; ACM SAC ASIIS 2010; ACM MEDES 2010

DEXA 2009; ICCCAS 2009; SITIS WITDS 2009; ACM MEDES 2009; ACM SAC ASIIS 2009

Reviewer

The National Science and Technology Program of China, National Natural Science Foundation of China, Beijing Natural Science Foundation, Zhejiang Provincial Natural Science Foundation of China.

 

IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, Expert Systems with Applications (ESWA), Knowledge-Based Systems (KBS), Data & Knowledge Engineering (DKE), World Wide Web Journal (WWW Journal), Computational Intelligence, Knowledge and Information Systems (KAIS).   

 

Chinese Journal of Electronics, Journal of Software (In Chinese), Acta Scientiarum Naturalium Universitatis Pekinensis (In Chinese), Acta Automatica Sinica (In Chinese), Journal of Electronics & Information Technology (In Chinese), Science Paper Online (In Chinese)

 


Publications

arXiv

1.   Zhi-Hong Deng, Shulei Ma, He Liu. An Efficient Data Structure for Fast Mining High Utility Itemsets. arXiv:1510.02188, 2015.

Journals (2010-, all papers are indexed or will be indexed by SCI)

1.   Zhi-Hong Deng, Xiaoran Xu. A Novel Probabilistic Clustering Model for Heterogeneous Networks. Machine Learning, 104(1):1-24, 2016.

2.   Zhi-Hong Deng. DiffNodesets: An efficient structure for fast mining frequent itemsets. Applied Soft Computing, 41: 214-223, 2016. (source code)

3.   Weiwei Liu, Zhi-Hong Deng, Longbing Cao, Xiaoran Xu, He Liu, and Xiuwen Gong. Mining Top K Spread Sources for A Specific Topic and A Given Node. IEEE Transactions on Cybernetics, 45(11): 2472-2483, 2015.

4.   Xiong Zhang and Zhi-Hong Deng. Mining Summarization of High Utility Itemsets. Knowledge-Based Systems, 84: 67-77, 2015.

5.   Zhi-Hong Deng and Kunhu Luo. CLE_LMNN: A Novel Framework of LMNN Based on Clustering Labeled Examples. Expert Systems with Applications, 42(14): 5988-5993, 2015.

6.   Zhi-Hong Deng and Sheng-Long Lv. PrePost+: An efficient N-Lists-based Algorithm for Mining Frequent Itemsets via Children-Parent Equivalence Pruning. Expert Systems with Applications, 42(13): 54245432, 2015.(source code)

7.   Kun-Hu Luo, Zhi-Hong Deng, Hong-LiangYu, Shi-Ying-Xue Li. Automatic Identification and Recognition of Sentiment Words Using an Optimization-based Model with Propagation. International Journal of Intelligent Systems, 30(5): 537-549, 2015.

8.   Gao Ning, Deng ZhiHong, and Lv Shenglong. XDist: an Effective XML Keyword Search System with Re-ranking Model Based on Keyword Distribution. SCIENCE CHINA Information Sciences, 57(5), 2014.

9.   Zhi-Hong Deng, Sheng-Long Lv. Fast mining frequent itemsets using Nodesets. Expert Systems with Applications, 41(10): 4505-4512, 2014. (source code with some optimization)

10. Zhi-Hong Deng, Kun-Hu Luo, Hong-Liang Yu. A Study of Supervised Term Weighting Scheme for Sentiment Analysis. Expert Systems with Applications, 41(7): 35063513, 2014.

11. Zhi-Hong Deng. Fast Mining Top-Rank-k Frequent Patterns by Using Node-lists. Expert Systems with Applications, 41(4-2): 1763-1768, 2014.

12. Zhi-Hong Deng, Yong-Qing Xiang, Ning Gao. LAF: A New XML Encoding and Indexing Strategy for Keyword-based XML Search. Concurrency and Computation: Practice and Experience, 25(11):1604-1621, 2013.

13. Yan Fei, Zhang Ming, Cai Shaowei, Liu Guojun, Deng Zhihong. A Clique-superposition Model for Social Networks. SCIENCE CHINA Information Sciences, 56 (5), 2013.

14. Zhi-Hong Deng, Zhong-Hui Wang, and Jie Zhang. ROBIN: A Novel Personal Recommendation Model based on Information Propagation. Expert Systems with Applications, 40 (13): 5306-5313, 2013.

15. Zhihong Deng. Mining Top-Rank-k Erasable Itemsets by PID_lists. International Journal of Intelligent Systems, 28(4): 366-379, 2013.

16. Deng ZhiHong, Wang ZhongHuiand Jiang JiaJian. A New Algorithm for Fast Mining Frequent Itemsets Using N-Lists. SCIENCE CHINA Information Sciences, 55 (9): 2008-2030, 2012. (free download) (source code with some optimization)

17. Zhi-Hong Deng, Bo-Yan Lai, Zhong-Hui Wang, Guo-Dong Fang. PAV: A Novel Model for Ranking Heterogeneous Objects in Bibliographic Information Networks. Expert Systems With Applications, 39 (10): 97889796,2012.

18. Hang Yu, Zhi-Hong Deng, Ning Gao. Efficient top-k algorithm for eXtensible Markup Language keyword search. IET Software, 6(4): 342-349, 2012.

19. Zhi-Hong Deng, Xiaoran Xu. Fast Mining Erasable Itemsets Using NC_sets. Expert Systems with Applications, 39 (4): 4453-4463, 2012.

20. Ning Gao, Zhi-Hong Deng, Jia-Jian Jiang, and Hang Yu. MAXLCA: A New Query Semantic Model for XML Keyword Search. Journal of Web Engineering, 11(2): pp131-145, 2012.

21. Zhi-Hong Deng, Ning Gao, Xiao-Ran Xu. Mop: An Efficient Algorithm for Mining Frequent Pattern with Subtree Traversing. Fundamenta Informaticae, 111(4): 373-390, 2011.

22. Zhihong Deng and Zhonghui Wang. A New Fast Vertical Method for Mining Frequent Patterns. International Journal of Computational Intelligence Systems, 3(6): 733-744, 2010.(free Download)

23. Xin Li, Zhi-Hong Deng. Mining Frequent Patterns from Network flows for Monitoring Network. Expert Systems with Applications, 37 (12): 8850-8860, 2010.

Conferences (2011-)

1.   Liangchen Wei and Zhi-Hong Deng. A Variational Autoencoding Approach for Inducing Cross-lingual Word Embeddings. Accepted by IJCAI 2017

2.   Shulei Ma, Zhi-Hong Deng and Yunlun Yang. An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model. COLING 2016, Pages: 1514–1523.

3.   Yunlun Yang, Yunhai Tong, Shulei Ma, and Zhi-Hong Deng. A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification. EMNLP 2016, pages: 65–74.

4.   Zhi-Hong Deng, Hongliang Yu, and Yunlun Yang. Identifying Sentiment Words Using an Optimization Model with L1 Regularization. In AAAI 2016, 115-121.

5.   Zhi-Hong Deng, Hongliang Yu, Yunlun Yang. Image Tagging via Cross-Modal Semantic Mapping. In ACM Multimedia (ACM MM) 2015, 1143-1146.

6.   Kun-Hu Luo, Zhi-Hong Deng, Liang-Chen Wei, Hongliang Yu. JEAM: A Novel Model for Cross-Domain Sentiment Classification Based on Emotion Analysis. In EMNLP 2015, Pages: 2503-2508.

7.   He Liu, Hongliang Yu, Zhi-Hong Deng. Multi-Document Summarization Based on Two-Level Sparse Representation Model. AAAI 2015, Pages: 196-202. (source code)

8.   Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang. Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network. AAAI 2015, Pages: 210-216.

9.   Hongliang Yu, Zhi-Hong Deng, Yunlun Yang, and Tao Xiong. A Joint Optimization Model for Image Summarization Based on Image Content and Tags. In AAAI 2014: 215-221.

10. Yunlun Yang, Zhi-Hong Deng, Hongliang Yu. A Novel Content Enriching Model for Microblog Using News Corpus. In ACL 2014: 218-223.

11. Hongliang Yu, Zhi-Hong Deng, Shiyingxue Li. Identifying Sentiment Words Using an Optimization-based Model without Seed Words. ACL 2013: 855859.

12. Shu-Han Wang and Zhi-Hong Deng. Semantic Inversion in XML Keyword Search with General Conditional Random Fields. WISE 2013 (LNCS 8180): 431440.

13. Yilei Wang, Bingzheng Wei, Jun Yan, Yang Hu, Zhi-Hong Deng, Zheng Chen. A Novel Local Patch Framework for Fixing Supervised Learning Models. In CIKM 2012: 1233-1242. (full papers 146/1088)

14. Jia-Jian Jiang, Zhi-Hong Deng, Ning Gao, and Sheng-Long Lv. Guess What I Want: Inferring The Semantics of Keyword Queries Using Evidence Theory. In APWeb 2012: 388398.

15. Xiaoran Xu and Zhi-Hong Deng. BibClus: A Clustering Algorithm of Bibliographic Networks by Message Passing on Center Linkage Structure. In ICDM 2011: 864-873. (full paper, 101/786)

16. Sheng-Long Lv, Zhi-Hong Deng, Hang Yu, NingGao, Jia-Jian Jiang. Fully Utilize Feedbacks: Language model based Relevance Feedback in Information Retrieval. In ADMA 2011 (LNAI 7120): 395-405.

17. Ning Gao, Zhi-Hong Deng, Hang Yu, Jia-Jian Jiang. ListOPT: Learning to Optimize for XML Ranking. In PAKDD 2011: 482-492.

Before 2011

Selected Publications Before 2011(English)  (sorted by year)

Selected Publications (China) (sorted by year)


Teaching

Introduction to Machine Learning, since 2007, For B.Sc. students

Neural Networks and Deep Learning, since 2016, For M.Sc. students

Intelligent Information Retrieval and Web Search, 2004-2015, For M.Sc. students

 


International Conferences

AAAI, ACL, ICML, ICLR, IJCAI, NIPS