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2020 – today
- 2024
[j17]Weiwei Cheng
, Changchao Wang, Yu Wang, Lirong Hao, Zhonghua Liu, Qingliang Cui:
Soil Marginal Effect and LSTM Model in Chinese Solar Greenhouse. Sensors 24(14): 4730 (2024)- [i6]Antonis Maronikolakis, Ana Peleteiro-Ramallo, Weiwei Cheng, Thomas Kober:
What should I wear to a party in a Greek taverna? Evaluation for Conversational Agents in the Fashion Domain. CoRR abs/2408.08907 (2024) - [i5]Kasra Hosseini, Thomas Kober, Josip Krapac, Roland Vollgraf, Weiwei Cheng, Ana Peleteiro-Ramallo:
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. CoRR abs/2409.11860 (2024) - 2023
- [j16]Ying Wang, Weiwei Cheng, Chang Liu:
Research on deduplication method of multiple relations based on hierarchical clustering algorithm. Int. J. Inf. Commun. Technol. 22(2): 105-116 (2023) - [j15]Weiwei Cheng, Guigen Nie, Jian Zhu:
Characterizing Periodic Variations of Atomic Frequency Standards via Their Frequency Stability Estimates. Sensors 23(11): 5356 (2023) - [j14]Weiwei Cheng, Xiaochun Yang, Bin Wang, Wei Wang:
Unbiased quasi-hyperbolic nesterov-gradient momentum-based optimizers for accelerating convergence. World Wide Web (WWW) 26(4): 1323-1344 (2023) - [c39]Peerat Limkonchotiwat, Weiwei Cheng, Christos Christodoulopoulos, Amir Saffari, Jens Lehmann:
mReFinED: An Efficient End-to-End Multilingual Entity Linking System. EMNLP (Findings) 2023: 15080-15089 - 2021
- [c38]Marco Del Tredici, Gianni Barlacchi, Xiaoyu Shen, Weiwei Cheng, Adrià de Gispert:
Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations. CIKM 2021: 2974-2978 - [i4]Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas:
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information? CoRR abs/2109.08634 (2021) - 2020
- [i3]Michael Sejr Schlichtkrull, Weiwei Cheng:
Evaluating for Diversity in Question Generation over Text. CoRR abs/2008.07291 (2020)
2010 – 2019
- 2019
- [j13]Weiwei Cheng, Xing Quan, Jiang Luo, Guodong Su:
A 217.6-227-GHz CMOS Signal Generator with Injection Locking Technique. J. Circuits Syst. Comput. 28(12): 2050140:1-2050140:14 (2019) - 2018
- [j12]Weiwei Cheng, Guigen Nie:
Predicting Long-Term Stability of Precise Oscillators under Influence of Frequency Drift. Sensors 18(2): 502 (2018) - [c37]Xiaomin Wang, Weiwei Cheng, Huiyuan Liu, Lichao Zhang:
Multi-Granularity Variable Precision Soft Rough Set. FSDM 2018: 781-786 - [c36]Nam Khanh Tran, Weiwei Cheng:
Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations. *SEM@NAACL-HLT 2018: 276-286 - 2017
- [c35]Nedelina Teneva, Weiwei Cheng:
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling. ACL (2) 2017: 530-535 - 2015
- [c34]Eyke Hüllermeier, Weiwei Cheng:
Superset Learning Based on Generalized Loss Minimization. ECML/PKDD (2) 2015: 260-275 - 2014
- [j11]Willem Waegeman, Krzysztof Dembczynski, Arkadiusz Jachnik, Weiwei Cheng, Eyke Hüllermeier:
On the bayes-optimality of F-measure maximizers. J. Mach. Learn. Res. 15(1): 3333-3388 (2014) - [j10]Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier:
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Mach. Learn. 97(3): 327-351 (2014) - 2013
- [j9]Dominik Heider, Robin Senge, Weiwei Cheng, Eyke Hüllermeier:
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction. Bioinform. 29(16): 1946-1952 (2013) - [c33]Amira Abdel-Aziz, Weiwei Cheng, Marc Strickert, Eyke Hüllermeier:
Preference-Based CBR: A Search-Based Problem Solving Framework. ICCBR 2013: 1-14 - [c32]Róbert Busa-Fekete, Balázs Szörényi, Weiwei Cheng, Paul Weng, Eyke Hüllermeier:
Top-k Selection based on Adaptive Sampling of Noisy Preferences. ICML (3) 2013: 1094-1102 - [c31]Eyke Hüllermeier, Weiwei Cheng:
Preference-Based CBR: General Ideas and Basic Principles. IJCAI 2013: 3012-3016 - [c30]Weiwei Cheng, Sascha Henzgen, Eyke Hüllermeier:
Labelwise versus Pairwise Decomposition in Label Ranking. LWA 2013: 129-136 - [i2]Willem Waegeman, Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier:
On the Bayes-optimality of F-measure maximizers. CoRR abs/1310.4849 (2013) - 2012
- [b1]Weiwei Cheng:
Label ranking with probabilistic models. University of Marburg, 2012, pp. 1-105 - [j8]Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier:
On label dependence and loss minimization in multi-label classification. Mach. Learn. 88(1-2): 5-45 (2012) - [j7]Johannes Fürnkranz, Eyke Hüllermeier, Weiwei Cheng, Sang-Hyeun Park:
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. Mach. Learn. 89(1-2): 123-156 (2012) - [j6]Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Learning monotone nonlinear models using the Choquet integral. Mach. Learn. 89(1-2): 183-211 (2012) - [j5]Ali Fallah Tehrani, Weiwei Cheng, Eyke Hüllermeier:
Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking. IEEE Trans. Fuzzy Syst. 20(6): 1102-1113 (2012) - [c29]Weiwei Cheng, Judita Preiss, Mark Stevenson:
Scaling up WSD with Automatically Generated Examples. BioNLP@HLT-NAACL 2012: 231-239 - [c28]Weiwei Cheng, Eyke Hüllermeier, Willem Waegeman, Volkmar Welker:
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models. NIPS 2012: 2510-2518 - [c27]Weiwei Cheng, Eyke Hüllermeier:
Probability Estimation for Multi-class Classification Based on Label Ranking. ECML/PKDD (2) 2012: 83-98 - [c26]Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman:
F-Measure Maximization in Topical Classification. RSCTC 2012: 439-446 - 2011
- [j4]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. Comput. Speech Lang. 25(2): 140-157 (2011) - [c25]Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David H. Stern, Ralf Herbrich:
Automated feature generation from structured knowledge. CIKM 2011: 1395-1404 - [c24]Ali Fallah Tehrani, Weiwei Cheng, Eyke Hüllermeier:
Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral. EUSFLAT Conf. 2011: 868-875 - [c23]Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Learning Monotone Nonlinear Models using the Choquet Integral. LWA 2011: 81-88 - [c22]Krzysztof Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier:
An Exact Algorithm for F-Measure Maximization. NIPS 2011: 1404-1412 - [c21]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 - [c20]Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Learning Monotone Nonlinear Models Using the Choquet Integral. ECML/PKDD (3) 2011: 414-429 - [i1]Weiwei Cheng, Eyke Hüllermeier:
Label Ranking with Abstention: Predicting Partial Orders by Thresholding Probability Distributions (Extended Abstract). CoRR abs/1112.0508 (2011) - 2010
- [c19]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 - [c18]Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Label Ranking Methods based on the Plackett-Luce Model. ICML 2010: 215-222 - [c17]Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Graded Multilabel Classification: The Ordinal Case. ICML 2010: 223-230 - [c16]Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier:
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML 2010: 279-286 - [c15]Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Graded Multilabel Classification: The Ordinal Case. LWA 2010: 39-45 - [c14]Weiwei Cheng, Michaël Rademaker, Bernard De Baets, Eyke Hüllermeier:
Predicting Partial Orders: Ranking with Abstention. ECML/PKDD (1) 2010: 215-230 - [c13]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
2000 – 2009
- 2009
- [j3]Weiwei Cheng, Kian-Lee Tan:
Query assurance verification for outsourced multi-dimensional databases. J. Comput. Secur. 17(1): 101-126 (2009) - [j2]Weiwei Cheng, Eyke Hüllermeier:
Combining instance-based learning and logistic regression for multilabel classification. Mach. Learn. 76(2-3): 211-225 (2009) - [c12]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 - [c11]Stavros Papadopoulos, Dimitris Papadias, Weiwei Cheng, Kian-Lee Tan:
Separating Authentication from Query Execution in Outsourced Databases. ICDE 2009: 1148-1151 - [c10]Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier:
Decision tree and instance-based learning for label ranking. ICML 2009: 161-168 - [c9]Weiwei Cheng, Eyke Hüllermeier:
A New Instance-Based Label Ranking Approach Using the Mallows Model. ISNN (1) 2009: 707-716 - [c8]Weiwei Cheng, Eyke Hüllermeier:
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification. LWA 2009: KDML:22-29 - [c7]Weiwei Cheng, Eyke Hüllermeier:
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification. ECML/PKDD (1) 2009: 6 - [c6]Nikolaus Krämer, Andreas Monger, Leo Petrak, Christian Hoene, Markus Steinmetz, Weiwei Cheng:
A Collaborative Self-Monitoring System for highly reliable wireless sensor networks. Wireless Days 2009: 1-6 - 2008
- [j1]Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng, Klaus Brinker:
Label ranking by learning pairwise preferences. Artif. Intell. 172(16-17): 1897-1916 (2008) - [c5]Weiwei Cheng, Eyke Hüllermeier:
Learning Similarity Functions from Qualitative Feedback. ECCBR 2008: 120-134 - [c4]Weiwei Cheng, Eyke Hüllermeier:
Instance-Based Label Ranking using the Mallows Model. ECCBR Workshops 2008: 143-157 - 2007
- [c3]Weiwei Cheng, Eyke Hüllermeier, Bernhard Seeger, Ilya Vladimirskiy:
Interactive Ranking of Skylines Using Machine Learning Techniques. LWA 2007: 141-148 - [c2]Weiwei Cheng, Kian-Lee Tan:
Authenticating kNN Query Results in Data Publishing. Secure Data Management 2007: 47-63 - 2006
- [c1]Weiwei Cheng, HweeHwa Pang, Kian-Lee Tan:
Authenticating Multi-dimensional Query Results in Data Publishing. DBSec 2006: 60-73
Coauthor Index
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last updated on 2024-10-18 19:31 CEST by the dblp team
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