M.Sc. Weiwei Cheng 程蔚蔚Knowledge Engineering & BioinformaticsResearch staff member & PhD candidateDepartment of Mathematics and Computer Science Philipps University Marburg
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What's New | Short Bio | Education | Publications | Talks & Tutorials | Honors & Awards | Some Links
What's New
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February 16th 2012. Our paper, Label Ranking by
Learning Pairwise Preferences, appeared in Artificial Intelligence
journal (vol. 172, pp. 1897-1916), is listed as one of the most cited
Artificial Intelligence articles published since 2007 (
February 1st 2012. I am invited to the program
committee of the 1st international workshop on Knowledge Discovery and
Data Mining Meets Linked Open Data (
Short BioWeiwei Cheng got a double bachelor's degree in Computer Science and Business Administration at Zhengzhou University, China. After graduation, he went to Germany and studied Data and Knowledge Engineering at Otto-von-Guericke University Magdeburg from 2005 to 2007. In 2006 he was awarded the Outstanding International Student Scholarship by the Ministry of Education and Cultural Affairs of Saxony-Anhalt. He received his Master of Science degree with highest honor in November 2007 and was awarded as the Best Graduate of Year in October 2008. Since December 2007, he worked in Knowledge Engineering & Bioinformatics Lab at Philipps University Marburg as a research staff member and PhD candidate under the supervision of Prof. Eyke Hüllermeier. His research won several awards, including the Best Student Paper Award at the 19th European Conference on Machine Learning. He was a recipient of 2009 Chinese Government Award for Outstanding Self-Financed Students Abroad. We are drowning in information, starving for knowledge. My everyday work is aiming to analyze and understand the data around us and make use of it to improve the quality of life. To this end, I conduct research on multiple areas in artificial intelligence, such as machine learning, data mining, and pattern recognition. Particularly, my current interests lie in ranking, preference learning, and multi-label classification. I have published a number of scientific papers in related fields and served as PC member and reviewer for several renowned journals and conferences. I am a member of ACM, IEEE, IMLS. Some informal thoughts can be found at my personal blog. A detailed CV, including my work experience, can be found here updated. |
Education
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PublicationsWeiwei Cheng, Krzysztof Dembczyński, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman F-measure maximization in topical classication to appear at 2012 Joint Rough Set Symposium (JRS-12), Chengdu, China, August 2012 invited paper Krzysztof Dembczyński, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier On label dependence and loss minimization in multi-label classification to appear at Machine Learning Journal special issue on Learning from Multi-Label Data, Springer Ali Fallah Tehrani, Weiwei Cheng, Eyke Hüllermeier Preference learning using the Choquet integral: the case of multipartite ranking to appear at IEEE Transactions on Fuzzy Systems, IEEE Computational Intelligence Society Krzysztof Dembczyński, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier An exact algorithm for F-measure maximization [pdf][bibtex][poster] Advances in Neural Information Processing Systems 24 (NIPS-11): 223-230, Curran Associates Granada, Spain, December 2011 NIPS travel grant Weiwei Cheng, Eyke Hüllermeier Label ranking with abstention: predicting partial orders by thresholding probability distributions [pdf][bibtex][slides][video] arXiv:1112.0508v1 [cs.AI] Choice Models and Preference Learning (CMPL-11) The 25th Annual Conference on Neural Information Processing Systems (NIPS-11) Sierra Nevada, Spain, December 2011 NIPS travel grant Thomas Fober, Weiwei Cheng, Eyke Hüllermeier Focusing search in multiobjective evolutionary optimization through preference learning from user feedback [pdf][bibtex][slides] Proceedings of the 21st Workshop Computational Intelligence (WCI-11): 107-117, KIT Scientific Publishing Dortmund, Germany, December 2011 Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David Stern, Ralf Herbrich Automated feature generation from structured knowledge [pdf][bibtex][slides] Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM-11): 1395-1404, ACM Glasgow, UK, October 2011 Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczyński, Eyke Hüllermeier Learning monotone nonlinear models using the Choquet integral [pdf][bibtex][slides][poster][video] LNAI 6913 Machine Learning and Knowledge Discovery in Databases: 414-429, Springer European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-11) Athens, Greece, September 2011 invited to Machine Learning Journal Special Issue Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park Preference-based policy iteration: leveraging preference learning for reinforcement learning [pdf][bibtex][slides] LNAI 6911 Machine Learning and Knowledge Discovery in Databases: 312-327, Springer European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-11) Athens, Greece, September 2011 invited to Machine Learning Journal Special Issue Ali Fallah Tehrani, Weiwei Cheng, Eyke Hüllermeier Choquistic regression: generalizing logistic regression using the Choquet integral [pdf][bibtex][slides] Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011): 868-875, Atlantis Press Aix-les-Bains, France, July 2011 nominated for best student paper award Ali Fallah Tehrani, Weiwei Cheng, Eyke Hüllermeier Preference learning using the Choquet integral: the case of multipartite ranking [pdf][bibtex] Proceedings of the 20th Workshop Computational Intelligence (WCI-10): 119-130, KIT Scientific Publishing Dortmund, Germany, December 2010 Weiwei Cheng, Michaël Rademaker, Bernard De Baets, Eyke Hüllermeier Predicting partial orders: ranking with abstention [pdf][bibtex][slides][poster] LNAI 6321 Machine Learning and Knowledge Discovery in Databases: 215-230, Springer European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-10) Barcelona, Spain, September 2010 UNESCO ECMLPKDD conference grant Krzysztof Dembczyński, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier Regret analysis for performance metrics in multi-label classification: the case of Hamming and subset zero-one loss [pdf][bibtex][slides][poster] LNAI 6321 Machine Learning and Knowledge Discovery in Databases: 280-295, Springer European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-10) Barcelona, Spain, September 2010 UNESCO ECMLPKDD conference grant Krzysztof Dembczyński, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier On label dependence in multi-label classification [pdf][bibtex][slides] Workshop Proceedings of Learning from Multi-Label Data 2010 (MLD-10): 5-12 The 27th International Conference on Machine Learning (ICML-10) Haifa, Israel, June 2010 invited paper Weiwei Cheng, Krzysztof Dembczyński, Eyke Hüllermeier Label ranking methods based on the Plackett-Luce model [pdf][bibtex][slides][poster] Proceedings of the 27th International Conference on Machine Learning (ICML-10): 215-222, Omnipress Haifa, Israel, June 2010 ICML scholarship Weiwei Cheng, Krzysztof Dembczyński, Eyke Hüllermeier Graded multi-label classification: the ordinal case [pdf][bibtex][slides][poster] Proceedings of the 27th International Conference on Machine Learning (ICML-10): 223-230, Omnipress Haifa, Israel, June 2010 ICML scholarship Krzysztof Dembczyński, Weiwei Cheng, Eyke Hüllermeier Bayes optimal multi-label classification via probabilistic classifier chains [pdf][bibtex][poster] Proceedings of the 27th International Conference on Machine Learning (ICML-10): 279-286, Omnipress Haifa, Israel, June 2010 ICML scholarship Weiwei Cheng, Eyke Hüllermeier Label ranking with partial abstention using ensemble learning [pdf][bibtex][slides][video] Workshop Proceedings of Preference Learning 2009 (PL-09): 17-23 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-09) Bled, Slovenia, September 2009 Weiwei Cheng, Eyke Hüllermeier A simple instance-based approach to multi-label classification using the Mallows model [pdf][bibtex][slides] Workshop Proceedings of Learning from Multi-Label Data 2009 (MLD-09): 28-38 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-09) Bled, Slovenia, September 2009 Weiwei Cheng, Eyke Hüllermeier Combining instance-based learning and logistic regression for multi-label classification [pdf][bibtex][slides][poster][video][code] Machine Learning 76: 211-225, Springer European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-09) Bled, Slovenia, September 2009 Machine Learning Journal Best Student Paper Award Weiwei Cheng, Jens Hühn, Eyke Hüllermeier Decision tree and instance-based learning for label ranking [pdf][bibtex][slides][poster][video][dataset] Proceedings of the 26th International Conference on Machine Learning (ICML-09): 161-168, Omnipress Montreal, Canada, June 2009 ICML scholarship Weiwei Cheng, Eyke Hüllermeier A new instance-based label ranking approach using the Mallows model [pdf][bibtex][slides] LNCS 5551 Advances in Neural Networks: 707-716, Springer The 6th International Symposium on Neural Networks (ISNN-09) Wuhan, China, May 2009 Weiwei Cheng, Eyke Hüllermeier Ranking skylines using active learning techniques [pdf][bibtex] Proceedings of Chinese Intelligent Systems Engineering 2008 (CNISE-08) Chengdu, China, October 2008 Weiwei Cheng, Eyke Hüllermeier Instance-based label ranking using the Mallows model [pdf][bibtex] Workshop Proceedings of Preference Learning 2008 (PL-08) European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-08) Antwerp, Belgium, September 2008 Weiwei Cheng, Eyke Hüllermeier Instance-based label ranking using the Mallows model Workshop Proceedings of ECCBR-08: 143-157 Uncertainty and Knowledge Discovery in CBR The 9th European Conference on Case-Based Reasoning (ECCBR-08) Trier, Germany, September 2008 Weiwei Cheng, Eyke Hüllermeier Learning similarity functions from qualitative feedback [pdf][bibtex][slides] LNAI 5239 Advances in Case-Based Reasoning: 120-134, Springer The 9th European Conference on Case-Based Reasoning (ECCBR-08) Trier, Germany, September 2008 nominated for best paper award Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, Klaus Brinker Label ranking by learning pairwise preferences [pdf][bibtex][dataset] Artificial Intelligence 172: 1897-1916, Elsevier listed in Most Cited Artificial Intelligence Articles 2007-2012 Weiwei Cheng Interactive ranking of skylines using machine learning techniques Master's thesis summa cum laude Faculty of Computer Science, Otto-von-Guericke University Magdeburg Magdeburg, Germany, October 2007 Weiwei Cheng, Eyke Hüllermeier, Bernhard Seeger, Ilya Vladimirskiy Interactive ranking of skylines using machine learning techniques [pdf][bibtex][poster] Proceedings of Lernen-Wissen-Adaptivität 2007 (LWA-07): 141-148, Martin Luther University Halle, Germany, September 2007 |
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Talks & TutorialsLearning monotone nonlinear models using the Choquet integral [slides][video] Lernen-Wissen-Adaptivität (LWA-11) Magdeburg, Germany, September 2011 The RipOff! game: a tutorial of cooperative game theory [slides] with Yoram Bachrach Think Computer Science 2010 Cambridge, UK, December 2010 Graded multi-label classification: the ordinal case [slides] Lernen-Wissen-Adaptivität (LWA-10) Kassel, Germany, September 2010 Acceptance speech of 2009 Chinese Government Award for Outstanding Self-Financed Students Abroad [pdf-zh][pdf-en] Embassy of China, Berlin, Germany, June 2010 Text Classification: concepts and methods [pdf][slides] Association of Chinese Computer Scientists in Germany (GCI) 2009 Annual Conference Fürth, Germany, November 2009 Text Classification: a back-to-school tutorial GTO IES Audit & Risk Management Department, Deutsche Bank Frankfurt, Germany, November 2009 Human vs computer: case studies [slides] Association of Chinese Scholars and Students in Magdeburg (VCWSM e.V.) Magdeburg, Germany, October 2009 Multi-label classification: a new machine learning problem [slides][video] Lightning Talk, the 4th Annual Google Test Automation Conference (GTAC-09) Zurich, Switzerland, October 2009 Combining instance-based learning and logistic regression for multi-label classification [slides][video] Lernen-Wissen-Adaptivität (LWA-09) Darmstadt, Germany, September 2009 Human-computation in Internet [pdf][slides] Association of Chinese Computer Scientists in Germany (GCI) IT Strategy Workshop Schwetzingen, Germany, September 2009 Ranking the skyline: an application of preference learning [proceedings][slides] Association of Chinese Computer Scientists in Germany (GCI) 2008 Annual Conference Lahnstein, Germany, November 2008 Instance based label ranking [slides] Student Talk, the 10th Machine Learning Summer School (MLSS-08) Ile De Re, France, September 2008 MLSS scholarship A brief introduction to preference handling [slides] Colloquium for graduate students in Mathematics and Computer Science Philipps University Marburg, Germany, March 2007 |
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Honors & AwardsDAAD conference scholarship German Academic Exchange Service (DAAD) Vilnius, Lithuania, July, 2012 Data mining competition award The 2nd place at JRS 2012 Data Mining Competition Chengdu, China, April 2012 NIPS travel grant Sponsored by Winton Capital, etc. The 25th Annual Conference on Neural Information Processing Systems Granada, Spain, December 2011 DAAD STIBET scholarship Sponsored by German Academic Exchange Service (DAAD) Marburg University Research Academy Marburg, Germany, April, 2011 Nomination for best student paper award [pic] The 7th Conference of the European Society for Fuzzy Logic and Technology Aix-les-Bains, France, July 2011 UNESCO ECMLPKDD conference grant Sponsored by UNESCO Chair in Data Privacy European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Barcelona, Spain, September 2010 ICML scholarship [link] Sponsored by IBM, National Science Foundation (NSF), etc. The 27th International Conference on Machine Learning Haifa, Israel, June 2010 Outstanding Chinese student award [pic][link de1 de2 zh1 zh2 zh3][video CCTV CRIOnline] Chinese Government Award for Outstanding Self-Financed Students Abroad Ministry of Education of the People's Republic of China Berlin, Germany, June 2010 Best paper award [pic][video] Machine Learning Journal Best Student Paper Award European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Bled, Slovenia, September 2009 ICML scholarship [link] Sponsored by National Science Foundation (NSF), etc. The 26th International Conference on Machine Learning Montreal Canada, June 2009 Best graduate award [pic] Best graduate 2007/2008 in Master of Data and Knowledge Engineering Otto-von-Guericke University Magdeburg Magdeburg, Germany, October 2008 MLSS scholarship Sponsored by Predict & Control and Lille's Computer Science Laboratory (LIFL) The 10th Machine Learning Summer School Ile De Re, France, September 2008 Nomination for best paper award The 9th European Conference on Case-Based Reasoning Trier, Germany, September 2008 Outstanding international student scholarship award [pdf] Ministry of Education and Cultural Affairs of Saxony-Anhalt Magdeburg, Germany, October 2006 Best debater award The 1st Mandarin Debate Tournament of Henan Zhengzhou, China, June 2002 Speech contest award [pic] The 3rd prize in Speech Contest “The 50 Years” Anqing, China, August 1999 |
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Some Links |
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| Blog |
http://blog.chengweiwei.com/ | |||||||||||||
| Photos |
http://photos.chengweiwei.com/ | |||||||||||||
| Twitter |
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