Yingfei Wang

According to our database, Yingfei Wang authored at least 46 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic graph model and neural network perspective of click models for web search.

Jianping Liu, Yingfei Wang, Jian Wang, Meng Wang, Xintao Chu

Knowl. Inf. Syst., October, 2024

A topic relevance-aware click model for web search.

Jianping Liu, Yingfei Wang, Jian Wang, Meng Wang, Xintao Chu

J. Intell. Fuzzy Syst., 2024

Combining permuted language model and adversarial training for Chinese machine reading comprehension.

Jianping Liu, Xintao Chu, Jian Wang, Meng Wang, Yingfei Wang

J. Intell. Fuzzy Syst., 2024

Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19.

Yingfei Wang, Inbal Yahav, Balaji Padmanabhan

Inf. Syst. Res., 2024

Large Language Model Enhanced Machine Learning Estimators for Classification.

Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng

CoRR, 2024

Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery.

Jinghai He, Cheng Hua, Yingfei Wang, Zeyu Zheng

CoRR, 2024

A survey of efficient fine-tuning methods for Vision-Language Models - Prompt and Adapter.

Jialu Xing, Jianping Liu, Jian Wang, Lulu Sun, Xi Chen, Xunxun Gu, Yingfei Wang

Comput. Graph., 2024

2nd Workshop on Causal Inference and Machine Learning in Practice.

Jeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DDI-CoCo: A Dataset for Understanding the Effect of Color Contrast in Machine-Assisted Skin Disease Detection.

Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays.

Yifu Tang, Yingfei Wang, Zeyu Zheng

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Electronic Medical Records Assisted Digital Clinical Trial Design.

Xinrui Ruan, Jingshen Wang, Yingfei Wang, Waverly Wei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Objective Information Theory

Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang

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

Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multiarmed Bandit Approach.

Tongxin Zhou, Yingfei Wang, Lu (Lucy) Yan, Yong Tan

Inf. Syst. Res., 2023

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

Xintao Chu, Jianping Liu, Jian Wang, Yingfei Wang, Meng Wang, Xunxun Gu

CoRR, 2023

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

Yingfei Wang, Jianping Liu, Jian Wang, Xiaofeng Wang, Meng Wang, Xintao Chu

IEEE Access, 2023

A Topicality Relevance-Aware Intent Model for Web Search.

Meng Wang, Jianping Liu, Jian Wang, Yingfei Wang, Xintao Chu

IEEE Access, 2023

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

Jingpei Dan, Lanlin Xu, Weixuan Hu, Yuming Wang, Yingfei Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2023

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

Jingpei Dan, Weixuan Hu, Lanlin Xu, Yuming Wang, Yingfei Wang

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.

Chu Wang, Yingfei Wang, Haipeng Luo, Daniel R. Jiang, Jinghai He, Zeyu Zheng

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.

Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma

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.

Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang

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.

Tongxin Zhou, Lu Lucy Yan, Yingfei Wang, Yong Tan

Manag. Sci., 2022

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

Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma

CoRR, 2022

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

Jianping Liu, Xintao Chu, Yingfei Wang, Meng Wang

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?

Yingfei Wang

XRDS, 2021

An interview with Owen McCall from TREECYCLE.

Jiayi Li, Yingfei Wang

XRDS, 2021

Structural Model and Mathematical Foundation of Information Space.

Jianfeng Xu, Zhenyu Liu, Tao Zheng, Shuliang Wamg, Yingfei Wang, Yashi Wang, Yongjie Qiao

CoRR, 2021

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

Daniel R. Jiang, Haipeng Luo, Chu Wang, Yingfei Wang

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.

Cong Wang, Yingfei Wang

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

2020

Topology Identification in Two-Layer Complex Dynamical Networks.

Yingfei Wang, Xiaoqun Wu, Jinhu Lü, Jun-An Lu, Raissa M. D'Souza

IEEE Trans. Netw. Sci. Eng., 2020

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

Tsu-Pei Chiu, Beibei Xin, Nicholas Markarian, Yingfei Wang, Remo Rohs

Nucleic Acids Res., 2020

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

Yingfei Wang, Inbal Yahav, Balaji Padmanabhan

CoRR, 2020

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

Tongxin Zhou, Yingfei Wang, Lu Lucy Yan, Yong Tan

CoRR, 2020

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

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.

Guofeng Mei, Xiaoqun Wu, Yingfei Wang, Mi Hu, Junan Lu, Guanrong Chen

IEEE Trans. Cybern., 2018

Finite-Time Analysis for the Knowledge-Gradient Policy.

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.

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.

Yingfei Wang, Juliana Martins Do Nascimento, Warren B. Powell

CoRR, 2018

2017

Advances in decision-making under uncertainty: inference, finite-time analysis, and health applications

Yingfei Wang

PhD thesis, 2017

Learning Online Trends for Interactive Query Auto-Completion.

Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang

IEEE Trans. Knowl. Data Eng., 2017

MOLTE: a Modular Optimal Learning Testing Environment.

Yingfei Wang, Warren B. Powell

CoRR, 2017

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

Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang

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

2016

An optimal learning method for developing personalized treatment regimes.

Yingfei Wang, Warren B. Powell

CoRR, 2016

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

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.

Yingfei Wang, Kristofer G. Reyes, Keith A. Brown, Chad A. Mirkin, Warren B. Powell

SIAM J. Sci. Comput., 2015

Functional Frank-Wolfe Boosting for General Loss Functions.

Chu Wang, Yingfei Wang, Weinan E, Robert E. Schapire

CoRR, 2015