Functional Frank-Wolfe Boosting for General Loss Functions. - Chu Wang; Yingfei Wang; Weinan E; Robert E. Schapire (CoRR, 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)

The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks. - Yingfei Wang; Chu Wang; Warren B. Powell (ICML, 2016)

An optimal learning method for developing personalized treatment regimes. - Yingfei Wang; Warren B. Powell (CoRR, 2016)

Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. - Yingfei Wang; Hua Ouyang; Chu Wang; Jianhui Chen; Tsvetan Asamov; Yi Chang 001 (AAAI, 2017)

MOLTE: a Modular Optimal Learning Testing Environment. - Yingfei Wang; Warren B. Powell (CoRR, 2017)

Learning Online Trends for Interactive Query Auto-Completion. - Yingfei Wang; Hua Ouyang; Hongbo Deng; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Advances in decision-making under uncertainty: inference, finite-time analysis, and health applications - Yingfei Wang (2017)

Dynamic Bidding for Advance Commitments in Truckload Brokerage Markets. - Yingfei Wang; Juliana Martins Do Nascimento; Warren B. Powell (CoRR, 2018)

A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model. - Yan Li 013; Kristofer G. Reyes; Jorge Vazquez-Anderson; Yingfei Wang; Lydia M. Contreras; Warren B. Powell (INFORMS J. Comput., 2018)

Finite-Time Analysis for the Knowledge-Gradient Policy. - Yingfei Wang; Warren B. Powell (SIAM J. Control. Optim., 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)

Content and Composition: Understanding The Impact of Merchant Pictures on Market Performance. - Zhenbin Yan 002; Uttara Anantakrishnan; Yingfei Wang; Yong Tan (ICIS, 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)

Whom to Test? Active Sampling Strategies for Managing COVID-19. - Yingfei Wang; Inbal Yahav; Balaji Padmanabhan (CoRR, 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)

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)

Prescriptive Analytics in ART: Precision Medication through Preference Learning. - Cong Wang; Yingfei Wang (ICIS, 2021)

Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. - Daniel R. Jiang; Haipeng Luo; Chu Wang; Yingfei Wang (KDD, 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)

An interview with Owen McCall from TREECYCLE. - Jiayi Li; Yingfei Wang (XRDS, 2021)

Computing and sustainability: how can technology lead us to a better future? - Yingfei Wang (XRDS, 2021)

Deep Text Retrieval Models based on DNN, CNN, RNN and Transformer: A review. - Jianping Liu; Xintao Chu; Yingfei Wang; Meng Wang (CCIS, 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)

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)

No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. - Mengxiao Zhang; Shi Chen; Haipeng Luo; Yingfei Wang (AISTATS, 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 (KDD, 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 (KDD, 2023)

A Hybrid Summarization Method for Legal Judgment Documents Based on Lawformer. - Jingpei Dan; Weixuan Hu; Lanlin Xu; Yuming Wang; Yingfei Wang (NLPCC (2), 2023)

Enhancing Similar Case Matching with Event-Context Detection in Legal Intelligence. - Jingpei Dan; Lanlin Xu; Weixuan Hu; Yuming Wang; Yingfei Wang (NLPCC (2), 2023)

A Topicality Relevance-Aware Intent Model for Web Search. - Meng Wang 046; Jianping Liu; Jian Wang; Yingfei Wang; Xintao Chu (IEEE Access, 2023)

FE-TCM: Filter-Enhanced Transformer Click Model for Web Search. - Yingfei Wang; Jianping Liu; Jian Wang; Xiaofeng Wang; Meng Wang 046; Xintao Chu (IEEE Access, 2023)

FE-TCM: Filter-Enhanced Transformer Click Model for Web Search. - Yingfei Wang; Jianping Liu; Jian Wang; Xiaofeng Wang; Meng Wang; Xintao Chu (CoRR, 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)

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)

Objective Information Theory - Jianfeng Xu; Shuliang Wang 001; Zhenyu Liu; Yashi Wang; Yingfei Wang; Yingxu Dang (Springer, 2023)

Electronic Medical Records Assisted Digital Clinical Trial Design. - Xinrui Ruan; Jingshen Wang; Yingfei Wang; Waverly Wei (AISTATS, 2024)

Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays. - Yifu Tang; Yingfei Wang; Zeyu Zheng (AISTATS, 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 (ICASSP, 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 (KDD, 2024)

LLM Enhanced Machine Learning Estimators for Classification. - Yuhang Wu 011; Yingfei Wang; Chu Wang; Zeyu Zheng (WSC, 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)

Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery. - Jinghai He; Cheng Hua; Yingfei Wang; Zeyu Zheng (CoRR, 2024)

Large Language Model Enhanced Machine Learning Estimators for Classification. - Yuhang Wu 011; Yingfei Wang; Chu Wang; Zeyu Zheng (CoRR, 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)

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)

A topic relevance-aware click model for web search. - Jianping Liu; Yingfei Wang; Jian Wang; Meng Wang; Xintao Chu (J. Intell. Fuzzy Syst., 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., 2024)

ColorSense: A Study on Color Vision in Machine Visual Recognition. - Ming-Chang Chiu; Yingfei Wang; Derrick Eui Gyu Kim; Pin-Yu Chen; Xuezhe Ma (SaTML, 2025)

Long short-term search session-based document re-ranking model. - Jianping Liu; Meng Wang; Jian Wang; Yingfei Wang; Xintao Chu (Knowl. Inf. Syst., 2025)

Contextual Linear Bandits with Delay as Payoff. - Mengxiao Zhang; Yingfei Wang; Haipeng Luo (CoRR, 2025)