COMP 621U: Student Presentations

  1. Every registered student must give a presentation. We will finish scheduling for the talks by March 22.  The instructor will mark the presentations.
  2. Each student can select one or more research papers to discuss.  The conference lists are given in the main course webpage.
  3. A student can spend 20-25 min to present the papers, and leave 10-15 min for Q&A (students must include a slide for questions). The max time for each student is 35 min.
  4. Students will submit links to papers and slides to the instructor before the scheduled date.  Students should roughly follow the following guideline: a) problem description, b) related works, c) main idea and solution overview, d) experimental setting, e) results and summary, f) optionally, an overview of the state of the art on this topic, g) your own questions and possible answers. 
  5. Students can select from among any topics discussed in class (properties of social networks, CF and link prediction, social influence and outbreak, social communities, social tagging, collective intelligence and crowdsourcing, transfer learning, etc.).  Other topics can be selected subject to the instructor's agreement.


2011 Dates

Student

Topic

Papers

Slides

March 22

Derek Hao Hu

Social Influence

 Slides

March 22

Huang, Shaoming 

Facebook: http://www.facebook.com/people/Jeff-Huang/100000528900304

Twitter: @jeff_walt


Geographical Topic Discovery

Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, and Thomas Huang. "Geographical Topic Discovery and Comparison", In WWW'11

Slides 

March 24

GAO, Xiang

 Social Influence

M. Noll et al. Telling Experts from Spammers Expertise Ranking in Folksonomies  SIGIR’09

Slides

March 24

Hua Liu

Community Detection

Tianbao Yang, Rong Jin, Yun Chi, and Shenghuo Zhu.  Combining link and content for community detection: a discriminative approach. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '09). ACM, New York, NY, USA, 927-936. 

Slides

March 29

PENG Peng, twitter@pkuso

Transfer Learning

Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, and Yong Yu. Video Summarization via Transferrable Structured Learning. WWW 2011

Slides

March 29

Zhou ZHAO

Tagging and Mining

Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, and Thomas Huang, Diversified Trajectory Pattern Ranking in Geo-tagged Social Media, Proc. of 2011 SIAM Conf. on Data Mining (SDM'11), Phoenix, AZ, Apr. 2011.

Slides

March 31

Zhang, Bo

Social Network Structure Discovery

Slides 

March 31

Chris Fung

Small World

Slides

April 7

Wei WANG

The Network Perspective

Slides

April 7

Erheng ZHONG

Transfer Learning/Ranking

Slides 

April 12

Michael M. LI

Social Network Inference

 Slides 1 and 2

April 12

Guan WANG 

Facebook: http://www.facebook.com/crownguanwang

Twitter: @crownpku

Network Flow, Community Detection

Slides

April 14

Nan CAO

Visualization and Social Media

Slides

April 14

Tengfei Liu

Collaborative Filtering

Slides

April 19

Si Shen

Information Diffusion

Slides

April 19

Jan Vosecky

Social Influence

M. Welch et. al. Topic Semantics of Twitter Links (WSDM'11)

Slides

April 21

Lin, Dong

Link Prediction

  1. Ryan N. Lichtenwalter, et al. New Perspectives and Methods in Link Prediction, KDD 2010.
  2. David Liben-Nowell and Jon Kleinberg, The link-prediction problem for social networks, Journal of the American Society for Information Science and Technology, Volume 58 Issue 7, May 2007.

Slides

April 21

BI, Wei

Link Prediction

Learning Spectral Graph Transformations for Link Prediction, ICML 2008.

Slides

April 26

Ye, Lisha

Link Prediction

Jure Leskovec, et al. Predicting Positive and Negative Links in Online Social Networks. In WWW '10

Slides

April 26

SHI,Conglei

Information Diffusion

J. Yang, J. Leskovec. Modeling Information Diffusion in Implicit Networks IEEE International Conference On Data Mining (ICDM), 2010. 

Slides

April 28

Wang, Lu (Twitter@wanglubliss)

Link Prediction

Rossano Schifanella, et al. Folks in Folksonomies: Social Link Prediction from Shared Metadata, WSDM '10

Slides

April 28

Jiangchuan Zheng

Evolution of social networks

Jure Leskovec, et al., Microscopic evolution of social networks, KDD 2008.

Slides

May 3

Song, Yuanfeng

Collaborative Filtering

Michael Jahrer, Andreas Tscher, and Robert Legenstein. 2010. Combining predictions for accurate recommender systems. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '10). ACM, New York, NY, USA, 693-702.

Slides

May 3

KELLARIS, Georgios

Tag Recommendation

Simon Overell, et al. Overell, S.; Sigurbjornsson, B.; van Zwol, R.

Classifying tags using open content resources. In Proceedings of the Second ACM International Conference on Web Search and Data Mining (WSDM '09), ACM, New York,  USA, 64-73.

Slides

May 5

Cédric Waldburger

http://www.facebook.com/mediasign

http://www.linkedin.com/profile/view?id=93259057&trk=tab_pro

http://www.mediasign.ch

http://www.asmallworld.net

Collaborative Filtering

Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, and Yanzhu Liu. 2009. Heterogeneous cross domain ranking in latent space. In Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09). ACM, New York, NY, USA, 987-996.

Slides

May 5

Christoffer Hirsimaa,  http://twitter.com/hirsimaa

Social Tagging

Slides

May 12

Gong, Wenmao (Twitter @LouisGong龚文茂)

Attention and Event Detection

Slides

May 12

 Wan, Pengfei

Influence Maximization

Slides

May 17

Chen, Ning

Social Influence

Amit Goyal, Francesco Bonchi, and Laks V.S. Lakshmanan. 2010. Learning influence probabilities in social networks. In Proceedings of the third ACM international conference on Web search and data mining (WSDM '10). ACM, New York, NY, USA, 241-250.

Slides 

May 17

Nikos Armenatzoglou

Social Influence

Yu Wang, Gao Cong, Guojie Song, and Kunqing Xie. 2010. Community-based greedy algorithm for mining top-K influential nodes in mobile social networks. In KDD '10.