Guan-Nan (Gordon) Wang
RESEARCH INTERESTS
Machine Learning, Data Mining, Complex network, Software Engineering
EDUCATION
University of Electronic Science and Technology of China, P.R.ChinaM.S. in Computer Software and Theory (09/2012 — present)
Adviser: Prof. Yan Fu
Thesis: The Application Research of Sampling Methods in Large-scale Networks (Best Graduation Thesis Award)
Fuzhou University, P.R.China
B.S. in Software Engineering (09/2008 — 07/2012)
Adviser: Prof. Xiao-Yun Chen
Thesis: Frequent Subgraph Mining in Molecular Database (Best Graduation Thesis Award)
High School Affiliated to Nanjing Normal University, P.R.China
Diploma in Science and Technology (09/2005 — 07/2008)
PAPERS
SCI Journals:
[1] Hui Gao, Duan-Bing Chen, Guan-Nan Wang and Yan Fu. "A Continuous Rating Model for News Recommendation", Journal of Information Science[url]
[2] Duan-Bing Chen, Guan-Nan Wang, An Zeng, Yan Fu and Yi-Cheng Zhang. "Optimizing online social networks for information propagation", PLOS ONE [url]
[3] Guan-Nan Wang, Hui Gao and Lian-Chen."Predicting Positive and Negative Attitudes in Large Social Networks",Scientific Reports[url]
[4] Hui Gao, Duan-bing Chen, Guan-nan Wang and Dennis Mensah. "An approximate shortest path algorithm based on the hierarchy networks", (under revision), Journal of Discrete Algorithms[url]
Chinese Core Journals:
[1] 王冠楠，陈端兵，傅彦，"新闻推荐的多维兴趣模型与传播分析"，计算机科学，2013
[2] 李莉杰，陈端兵，王冠楠，"有向网络重叠社区的快速划分算法"，计算机科学， 2014
[3] 邓冬梅，王冠楠，朱建，高辉，陈端兵，"时序最短路径算法"，计算机科学， 2014
[1] Hui Gao, Duan-Bing Chen, Guan-Nan Wang and Yan Fu. "A Continuous Rating Model for News Recommendation", Journal of Information Science[url]
[2] Duan-Bing Chen, Guan-Nan Wang, An Zeng, Yan Fu and Yi-Cheng Zhang. "Optimizing online social networks for information propagation", PLOS ONE [url]
[3] Guan-Nan Wang, Hui Gao and Lian-Chen."Predicting Positive and Negative Attitudes in Large Social Networks",Scientific Reports[url]
[4] Hui Gao, Duan-bing Chen, Guan-nan Wang and Dennis Mensah. "An approximate shortest path algorithm based on the hierarchy networks", (under revision), Journal of Discrete Algorithms[url]
Chinese Core Journals:
[1] 王冠楠，陈端兵，傅彦，"新闻推荐的多维兴趣模型与传播分析"，计算机科学，2013
[2] 李莉杰，陈端兵，王冠楠，"有向网络重叠社区的快速划分算法"，计算机科学， 2014
[3] 邓冬梅，王冠楠，朱建，高辉，陈端兵，"时序最短路径算法"，计算机科学， 2014
HONORS AND AWARDS
Best Graduation Thesis Award Master in Computer Science with Distinction Candidates of Ali-stars (12 students across Asia) National Scholarship for Graduate Students Scholarship for Postgraduate/Graduate Students (top 10) Graduate Research Fellowship Best Graduation Thesis Award SRTP Award Challenge Cup Award Scholarship for Undergraduate Students The Third Prize of Mathematical Contest in Modeling in Fuzhou Univ.(ranking: 21/206) The Third Prize of Mathematical Contest in Modeling in Fuzhou Univ.(randking:21/174) The Third Prize of ACM/ICPC in Fuzhou Univ. (ranking: 30 / 698) The Third Prize in Preliminary of Chinese Sciences Cup(ISCAS) The Second Prize of ACM/ICPC in Fujian Province The First Prize of ACM/ICPC in Software College (3 times) |
2015 2015 2014 2014 2013-2014 2012 2012 2011 2011 2009-2012 2011 2010 2010 2009 2009 2009 |
RESEARCH EXPERIENCES
Graduate Student, Social Computing Group,Web Sciences Center (09/2012 — present)
Awards:Graduate Research Fellowship, Scholarship forPostgraduate/Graduate Students
- Analysis of News Diffusion in Recommender Systems: (funded by NSFC and Huawei) While using multidimensional vectors to characterize the user's interest, simulating with multi-agent model, and factoring the quality of the users and news into recommendation, we analyzed the structure of the users' network and the factors impacting on the recommendations and diffusion of news.
- Mining in Large Scale Networks: (funded by Tencent) Used Graphlab —a high-level graph-parallel abstraction developed byCMU, and developed enhanced algorithms foranalysisin large scale network. I mainly worked on enhancing genetic algorithm for detecting communities and finding shortest paths in large scale networks.
- Recommender Systems for Power-law Distributionof Users' Activity Frequency: (funded by NSFC and Huawei) We found that previous social recommendation methods lead to serious delay of information propagation since many users are connected to inactive leaders. To solve this problem, we designed a new similarity measure which takes into account users' activity frequencies. With this similarity measure, the average delay is significantly shortened and the recommendation accuracy is largely improved.
- Link Prediction in Large Scale Networks: (funded by NSFC) Proposed an improved SVM model to predict binary relationship between users. Compared to the existing algorithms and Adaboost for all of them, my algorithm achieves higher accuracy with much less training data. With thousands of training samples, this algorithm can predict millions of relationships in highaccuracy.
- Community Detection in Large Heterogeneous Networks: (funded by Tencent) Researched fast algorithms for community detection in large scale social networks, identify the network community structure combining with network topology and node attributes. Mined the theme of community, and predicted the trends of new topics in social networks.
- Prediction of KPI in Large Communication Network: (funded by Huawei) Develop a generalized adaptive model (GAM) based on high dimensional feature space and billions of samples. Also I am considering using higher dimensional features generated by Auto-encoder in Deep Neuro-network.
Undergraduate Student, Fuzhou University (09/2008 – 07/2012)
Awards: Best Graduation Thesis Award, Scholarship for Undergraduate Students, The Third Prize in Preliminary of Chinese Sciences Cup(ISCAS), Challenge Cup Award, SRTP Award.
- The Entrance Exam Management System: Developed a system using C to supply useful interfaces for inserting, deleting, updating, sorting and querying the scores.
- Editor for Petri Net: Developed a tool like Cpn tools for constructing the Petri net.
- Circuit Wiring Design: Proposed a BFS-based searching approach to improve circuit wiring by considering the balance of different chips of VLSI and small amount of the connections between the chips. Enhanced GRASP to change its construction phase in order to get a better start solution, and applied FM algorithm into the local search phase.
- Real-Time Data Compression for Industrial Scale: Proposed a data compress approach to improve retrieve precision by considering dynamic change with time and linear fitting. Integrating with larger buffer would further improve the performance.
- Student Score Management System: Developed an object oriented application using JAVA and MySQL to supply useful interfaces for inserting, deleting, updating, sorting and querying the scores.
- OA System for Fujian Normal University: Developed an OA system using MVC framework and .net platform. AJAX, JQuery, Json and C# are also employed in the project. Adopted RAD as Software Development Model. During Requirements Analysis Phase, we used the rapid prototyping model.
- Text Classification using Naïve Bayes: Developed a text classifier based on naive bayes by considering statistical method of extracting text features.
- Frequent Subgraph Mining in Molecular Database: Analyzed four latest algorithms based on depth-first search due to the characteristics of large-scale molecular database. Improved two aspects in pruning process to speed up the process, and experiment results showed that the improved algorithm can reduce at most 65 percent of time comparing to the original implement.
WORKING EXPERIENCES
Project Leader in HuaXiong Sci & Tech, (02/2011)
PROFICIENT SKILLS
Programming Languages: C/C++, Matlab, JAVA, C#, HTML, SQL, JavaScript, Python, R, Latex
Languages: Mandarin Chinese (native), English (fluent; CET-6 522 Overall 710, 2010; GRE 314 Overall 346, 2014)
Languages: Mandarin Chinese (native), English (fluent; CET-6 522 Overall 710, 2010; GRE 314 Overall 346, 2014)
Contact
Email: guannan.wang90@gmail.com
School of Computer Science and Engineering
University of Electronic Science and Technology of China
No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731