Weiwei Cheng

Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier: On label dependence and loss minimization in multi-label classification. Machine Learning 88(1-2): 5-45 (2012)

Johannes Fürnkranz, Eyke Hüllermeier, Weiwei Cheng, Sang-Hyeun Park: Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. Machine Learning 89(1-2): 123-156 (2012)

Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier: Learning monotone nonlinear models using the Choquet integral. Machine Learning 89(1-2): 183-211 (2012)

Ali Fallah Tehrani, Weiwei Cheng, Eyke Hüllermeier: Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking. IEEE T. Fuzzy Systems 20(6): 1102-1113 (2012)

Weiwei Cheng, Eyke Hüllermeier, Willem Waegeman, Volkmar Welker: Label Ranking with Partial Abstention based on Thresholded Probabilistic Models. NIPS 2012: 2510-2518

Weiwei Cheng, Eyke Hüllermeier: Probability Estimation for Multi-class Classification Based on Label Ranking. ECML/PKDD (2) 2012: 83-98

Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman: F-Measure Maximization in Topical Classification. RSCTC 2012: 439-446

Yorick Wilks, Roberta Catizone, Simon Worgan, Alexiei Dingli, Roger K. Moore, Debora Field, Weiwei Cheng: A prototype for a conversational companion for reminiscing about images. Computer Speech & Language 25(2): 140-157 (2011)

Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David H. Stern, Ralf Herbrich: Automated feature generation from structured knowledge. CIKM 2011: 1395-1404

Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier: An Exact Algorithm for F-Measure Maximization. NIPS 2011: 1404-1412

Weiwei Cheng, Johannes Fürnkranz, Eyke Hüllermeier, Sang-Hyeun Park: Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning. ECML/PKDD (1) 2011: 312-327

Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier: Learning Monotone Nonlinear Models Using the Choquet Integral. ECML/PKDD (3) 2011: 414-429

Weiwei Cheng, Eyke Hüllermeier: Label Ranking with Abstention: Predicting Partial Orders by Thresholding Probability Distributions (Extended Abstract). CoRR abs/1112.0508 (2011)

Yorick Wilks, Roberta Catizone, Alexiei Dingli, Weiwei Cheng: Demonstration of a Prototype for a Conversational Companion for Reminiscing about Images. ACL (System Demonstrations) 2010: 72-77

Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier: Label Ranking Methods based on the Plackett-Luce Model. ICML 2010: 215-222

Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier: Graded Multilabel Classification: The Ordinal Case. ICML 2010: 223-230

Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier: Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML 2010: 279-286

Weiwei Cheng, Michaël Rademaker, Bernard De Baets, Eyke Hüllermeier: Predicting Partial Orders: Ranking with Abstention. ECML/PKDD (1) 2010: 215-230

Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier: Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss. ECML/PKDD (1) 2010: 280-295

Weiwei Cheng, Kian-Lee Tan: Query assurance verification for outsourced multi-dimensional databases. Journal of Computer Security 17(1): 101-126 (2009)

Weiwei Cheng, Eyke Hüllermeier: Combining instance-based learning and logistic regression for multilabel classification. Machine Learning 76(2-3): 211-225 (2009)

Debora Field, Roberta Catizone, Weiwei Cheng, Alexiei Dingli, Simon Worgan, Lei Ye, Yorick Wilks: The senior companion: a semantic web dialogue system. AAMAS (2) 2009: 1383-1384

Stavros Papadopoulos, Dimitris Papadias, Weiwei Cheng, Kian-Lee Tan: Separating Authentication from Query Execution in Outsourced Databases. ICDE 2009: 1148-1151

Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier: Decision tree and instance-based learning for label ranking. ICML 2009: 21

Weiwei Cheng, Eyke Hüllermeier: A New Instance-Based Label Ranking Approach Using the Mallows Model. ISNN (1) 2009: 707-716

Weiwei Cheng, Eyke Hüllermeier: Combining Instance-Based Learning and Logistic Regression for Multilabel Classification. ECML/PKDD (1) 2009: 6

Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, Klaus Brinker: Label ranking by learning pairwise preferences. Artif. Intell. 172(16-17): 1897-1916 (2008)

Weiwei Cheng, Eyke Hüllermeier: Learning Similarity Functions from Qualitative Feedback. ECCBR 2008: 120-134

Weiwei Cheng, Eyke Hüllermeier: Instance-Based Label Ranking using the Mallows Model. ECCBR Workshops 2008: 143-157

Weiwei Cheng, Eyke Hüllermeier, Bernhard Seeger, Ilya Vladimirskiy: Interactive Ranking of Skylines Using Machine Learning Techniques. LWA 2007: 141-148

Weiwei Cheng, Kian-Lee Tan: Authenticating kNN Query Results in Data Publishing. Secure Data Management 2007: 47-63

Weiwei Cheng, HweeHwa Pang, Kian-Lee Tan: Authenticating Multi-dimensional Query Results in Data Publishing. DBSec 2006: 60-73