Weiwei Cheng

Orcid: 0000-0002-6139-0298

According to our database1, Weiwei Cheng authored at least 58 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Soil Marginal Effect and LSTM Model in Chinese Solar Greenhouse.
Sensors, July, 2024

Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation.
CoRR, 2024

What should I wear to a party in a Greek taverna? Evaluation for Conversational Agents in the Fashion Domain.
CoRR, 2024

2023
Unbiased quasi-hyperbolic nesterov-gradient momentum-based optimizers for accelerating convergence.
World Wide Web (WWW), July, 2023

Characterizing Periodic Variations of Atomic Frequency Standards via Their Frequency Stability Estimates.
Sensors, 2023

Research on deduplication method of multiple relations based on hierarchical clustering algorithm.
Int. J. Inf. Commun. Technol., 2023

mReFinED: An Efficient End-to-End Multilingual Entity Linking System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?
CoRR, 2021

Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Evaluating for Diversity in Question Generation over Text.
CoRR, 2020

2019
A 217.6-227-GHz CMOS Signal Generator with Injection Locking Technique.
J. Circuits Syst. Comput., 2019

2018
Predicting Long-Term Stability of Precise Oscillators under Influence of Frequency Drift.
Sensors, 2018

Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Multi-Granularity Variable Precision Soft Rough Set.
Proceedings of the Fuzzy Systems and Data Mining IV, 2018

2017
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2015
Superset Learning Based on Generalized Loss Minimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
Mach. Learn., 2014

On the bayes-optimality of F-measure maximizers.
J. Mach. Learn. Res., 2014

2013
On the Bayes-optimality of F-measure maximizers.
CoRR, 2013

Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction.
Bioinform., 2013

Labelwise versus Pairwise Decomposition in Label Ranking.
Proceedings of the LWA 2013. Lernen, 2013

Preference-Based CBR: General Ideas and Basic Principles.
Proceedings of the IJCAI 2013, 2013

Top-k Selection based on Adaptive Sampling of Noisy Preferences.
Proceedings of the 30th International Conference on Machine Learning, 2013

Preference-Based CBR: A Search-Based Problem Solving Framework.
Proceedings of the Case-Based Reasoning Research and Development, 2013

2012
Label ranking with probabilistic models.
PhD thesis, 2012

Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking.
IEEE Trans. Fuzzy Syst., 2012

Learning monotone nonlinear models using the Choquet integral.
Mach. Learn., 2012

Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.
Mach. Learn., 2012

On label dependence and loss minimization in multi-label classification.
Mach. Learn., 2012

F-Measure Maximization in Topical Classification.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Probability Estimation for Multi-class Classification Based on Label Ranking.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Label Ranking with Partial Abstention based on Thresholded Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Scaling up WSD with Automatically Generated Examples.
Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 2012

2011
A prototype for a conversational companion for reminiscing about images.
Comput. Speech Lang., 2011

Label Ranking with Abstention: Predicting Partial Orders by Thresholding Probability Distributions (Extended Abstract)
CoRR, 2011

Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

An Exact Algorithm for F-Measure Maximization.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Choquistic Regression: Generalizing Logistic Regression using the Choquet Integral.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

Automated feature generation from structured knowledge.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Predicting Partial Orders: Ranking with Abstention.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Graded Multilabel Classification: The Ordinal Case.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Label Ranking Methods based on the Plackett-Luce Model.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Demonstration of a Prototype for a Conversational Companion for Reminiscing about Images.
Proceedings of the ACL 2010, 2010

2009
Combining instance-based learning and logistic regression for multilabel classification.
Mach. Learn., 2009

Query assurance verification for outsourced multi-dimensional databases.
J. Comput. Secur., 2009

A Collaborative Self-Monitoring System for highly reliable wireless sensor networks.
Proceedings of the 2nd IFIP Wireless Days, 2009

A New Instance-Based Label Ranking Approach Using the Mallows Model.
Proceedings of the Advances in Neural Networks, 2009

Decision tree and instance-based learning for label ranking.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Separating Authentication from Query Execution in Outsourced Databases.
Proceedings of the 25th International Conference on Data Engineering, 2009

The senior companion: a semantic web dialogue system.
Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008
Label ranking by learning pairwise preferences.
Artif. Intell., 2008

Learning Similarity Functions from Qualitative Feedback.
Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008

Instance-Based Label Ranking using the Mallows Model.
Proceedings of the ECCBR 2008, 2008

2007
Authenticating kNN Query Results in Data Publishing.
Proceedings of the Secure Data Management, 4th VLDB Workshop, SDM 2007, Vienna, Austria, 2007

Interactive Ranking of Skylines Using Machine Learning Techniques.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

2006
Authenticating Multi-dimensional Query Results in Data Publishing.
Proceedings of the Data and Applications Security XX, 2006


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