Yingfei Wang

Orcid: 0000-0002-3634-3617

According to our database¹, Yingfei Wang authored at least 34 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024

DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Objective Information Theory

[BibT_eX]

[DOI]

Springer Briefs in Computer Science, Springer, ISBN: 978-981-19-9928-4, 2023

CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

FE-TCM: Filter-Enhanced Transformer Click Model for Web Search.

[BibT_eX]

[DOI]

IEEE Access, 2023

A Topicality Relevance-Aware Intent Model for Web Search.

[BibT_eX]

[DOI]

IEEE Access, 2023

Enhancing Similar Case Matching with Event-Context Detection in Legal Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

A Hybrid Summarization Method for Legal Judgment Documents Based on Lawformer.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Turn Your Online Weight Management from Zero to Hero: A Multidimensional, Continuous-Time Evaluation.

[BibT_eX]

[DOI]

Manag. Sci., 2022

On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Text Retrieval Models based on DNN, CNN, RNN and Transformer: A review.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

Computing and sustainability: how can technology lead us to a better future?

[BibT_eX]

[DOI]

Yingfei Wang

XRDS, 2021

An interview with Owen McCall from TREECYCLE.

[BibT_eX]

[DOI]

Jiayi Li

Yingfei Wang

XRDS, 2021

Structural Model and Mathematical Foundation of Information Space.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Prescriptive Analytics in ART: Precision Medication through Preference Learning.

[BibT_eX]

[DOI]

Cong Wang

Yingfei Wang

Proceedings of the 42nd International Conference on Information Systems, 2021

2020

Topology Identification in Two-Layer Complex Dynamical Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2020

Whom to Test? Active Sampling Strategies for Managing COVID-19.

[BibT_eX]

[DOI]

Yingfei Wang

Inbal Yahav

Balaji Padmanabhan

CoRR, 2020

Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Content and Composition: Understanding The Impact of Merchant Pictures on Market Performance.

[BibT_eX]

[DOI]

Zhenbin Yan

Uttara Anantakrishnan

Yingfei Wang

Yong Tan

Proceedings of the 41st International Conference on Information Systems, 2020

2018

Compressive-Sensing-Based Structure Identification for Multilayer Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Finite-Time Analysis for the Knowledge-Gradient Policy.

[BibT_eX]

[DOI]

Yingfei Wang

Warren B. Powell

SIAM J. Control. Optim., 2018

A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model.

[BibT_eX]

[DOI]

Yan Li

Kristofer G. Reyes

Jorge Vazquez-Anderson

Yingfei Wang

Lydia M. Contreras

Warren B. Powell

INFORMS J. Comput., 2018

Dynamic Bidding for Advance Commitments in Truckload Brokerage Markets.

[BibT_eX]

[DOI]

Yingfei Wang

Juliana Martins Do Nascimento

Warren B. Powell

CoRR, 2018

2017

Learning Online Trends for Interactive Query Auto-Completion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

MOLTE: a Modular Optimal Learning Testing Environment.

[BibT_eX]

[DOI]

Yingfei Wang

Warren B. Powell

CoRR, 2017

Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An optimal learning method for developing personalized treatment regimes.

[BibT_eX]

[DOI]

Yingfei Wang

Warren B. Powell

CoRR, 2016

The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks.

[BibT_eX]

[DOI]

Yingfei Wang

Chu Wang

Warren B. Powell

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2015

Functional Frank-Wolfe Boosting for General Loss Functions.

[BibT_eX]

[DOI]

CoRR, 2015

Yingfei Wang

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