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Yingfei Wang
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2020 – today
- 2024
- [j18]Jialu Xing, Jianping Liu, Jian Wang, Lulu Sun, Xi Chen, Xunxun Gu, Yingfei Wang:
A survey of efficient fine-tuning methods for Vision-Language Models - Prompt and Adapter. Comput. Graph. 119: 103885 (2024) - [j17]Yingfei Wang, Inbal Yahav, Balaji Padmanabhan:
Smart Testing with Vaccination: A Bandit Algorithm for Active Sampling for Managing COVID-19. Inf. Syst. Res. 35(1): 120-144 (2024) - [j16]Jianping Liu, Yingfei Wang, Jian Wang, Meng Wang, Xintao Chu:
A topic relevance-aware click model for web search. J. Intell. Fuzzy Syst. 46(4): 8961-8974 (2024) - [j15]Jianping Liu, Xintao Chu, Jian Wang, Meng Wang, Yingfei Wang:
Combining permuted language model and adversarial training for Chinese machine reading comprehension. J. Intell. Fuzzy Syst. 46(4): 10059-10073 (2024) - [j14]Jianping Liu, Yingfei Wang, Jian Wang, Meng Wang, Xintao Chu:
Probabilistic graph model and neural network perspective of click models for web search. Knowl. Inf. Syst. 66(10): 5829-5873 (2024) - [c15]Xinrui Ruan, Jingshen Wang, Yingfei Wang, Waverly Wei:
Electronic Medical Records Assisted Digital Clinical Trial Design. AISTATS 2024: 2836-2844 - [c14]Yifu Tang, Yingfei Wang, Zeyu Zheng:
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays. AISTATS 2024: 3043-3051 - [c13]Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen:
DDI-CoCo: A Dataset for Understanding the Effect of Color Contrast in Machine-Assisted Skin Disease Detection. ICASSP 2024: 6905-6909 - [c12]Jeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson:
2nd Workshop on Causal Inference and Machine Learning in Practice. KDD 2024: 6726 - [i15]Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen:
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection. CoRR abs/2401.13280 (2024) - [i14]Jinghai He, Cheng Hua, Yingfei Wang, Zeyu Zheng:
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery. CoRR abs/2405.03942 (2024) - [i13]Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng:
Large Language Model Enhanced Machine Learning Estimators for Classification. CoRR abs/2405.05445 (2024) - 2023
- [b2]Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang:
Objective Information Theory. Springer Briefs in Computer Science, Springer 2023, ISBN 978-981-19-9928-4, pp. 1-96 - [j13]Yingfei Wang, Jianping Liu, Jian Wang, Xiaofeng Wang, Meng Wang, Xintao Chu:
FE-TCM: Filter-Enhanced Transformer Click Model for Web Search. IEEE Access 11: 28680-28687 (2023) - [j12]Meng Wang, Jianping Liu, Jian Wang, Yingfei Wang, Xintao Chu:
A Topicality Relevance-Aware Intent Model for Web Search. IEEE Access 11: 65739-65748 (2023) - [j11]Tongxin Zhou, Yingfei Wang, Lu (Lucy) Yan, Yong Tan:
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multiarmed Bandit Approach. Inf. Syst. Res. 34(4): 1493-1512 (2023) - [c11]Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang:
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. AISTATS 2023: 3270-3298 - [c10]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:
Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. KDD 2023: 5867 - [c9]Chu Wang, Yingfei Wang, Haipeng Luo, Daniel R. Jiang, Jinghai He, Zeyu Zheng:
2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. KDD 2023: 5890 - [c8]Jingpei Dan, Lanlin Xu, Weixuan Hu, Yuming Wang, Yingfei Wang:
Enhancing Similar Case Matching with Event-Context Detection in Legal Intelligence. NLPCC (2) 2023: 549-561 - [c7]Jingpei Dan, Weixuan Hu, Lanlin Xu, Yuming Wang, Yingfei Wang:
A Hybrid Summarization Method for Legal Judgment Documents Based on Lawformer. NLPCC (2) 2023: 787-798 - [i12]Yingfei Wang, Jianping Liu, Jian Wang, Xiaofeng Wang, Meng Wang, Xintao Chu:
FE-TCM: Filter-Enhanced Transformer Click Model for Web Search. CoRR abs/2301.07854 (2023) - [i11]Xintao Chu, Jianping Liu, Jian Wang, Yingfei Wang, Meng Wang, Xunxun Gu:
CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval. CoRR abs/2301.12700 (2023) - 2022
- [j10]Tongxin Zhou, Lu Lucy Yan, Yingfei Wang, Yong Tan:
Turn Your Online Weight Management from Zero to Hero: A Multidimensional, Continuous-Time Evaluation. Manag. Sci. 68(5): 3507-3527 (2022) - [c6]Jianping Liu, Xintao Chu, Yingfei Wang, Meng Wang:
Deep Text Retrieval Models based on DNN, CNN, RNN and Transformer: A review. CCIS 2022: 391-400 - [i10]Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang:
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. CoRR abs/2210.12663 (2022) - [i9]Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma:
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study. CoRR abs/2212.08650 (2022) - 2021
- [j9]Yingfei Wang:
Computing and sustainability: how can technology lead us to a better future? XRDS 27(4): 7-8 (2021) - [j8]Jiayi Li, Yingfei Wang:
An interview with Owen McCall from TREECYCLE. XRDS 27(4): 42-45 (2021) - [c5]Cong Wang, Yingfei Wang:
Prescriptive Analytics in ART: Precision Medication through Preference Learning. ICIS 2021 - [c4]Daniel R. Jiang, Haipeng Luo, Chu Wang, Yingfei Wang:
Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. KDD 2021: 4133-4134 - [i8]Jianfeng Xu, Zhenyu Liu, Tao Zheng, Shuliang Wamg, Yingfei Wang, Yashi Wang, Yongjie Qiao:
Structural Model and Mathematical Foundation of Information Space. CoRR abs/2112.15505 (2021) - 2020
- [j7]Tsu-Pei Chiu, Beibei Xin, Nicholas Markarian, Yingfei Wang, Remo Rohs:
TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites. Nucleic Acids Res. 48(Database-Issue): D246-D255 (2020) - [j6]Yingfei Wang, Xiaoqun Wu, Jinhu Lü, Jun-An Lu, Raissa M. D'Souza:
Topology Identification in Two-Layer Complex Dynamical Networks. IEEE Trans. Netw. Sci. Eng. 7(1): 538-548 (2020) - [c3]Zhenbin Yan, Uttara Anantakrishnan, Yingfei Wang, Yong Tan:
Content and Composition: Understanding The Impact of Merchant Pictures on Market Performance. ICIS 2020 - [i7]Tongxin Zhou, Yingfei Wang, Lu Lucy Yan, Yong Tan:
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach. CoRR abs/2009.06108 (2020) - [i6]Yingfei Wang, Inbal Yahav, Balaji Padmanabhan:
Whom to Test? Active Sampling Strategies for Managing COVID-19. CoRR abs/2012.13483 (2020)
2010 – 2019
- 2018
- [j5]Yan Li, Kristofer G. Reyes, Jorge Vazquez-Anderson, Yingfei Wang, Lydia M. Contreras, Warren B. Powell:
A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model. INFORMS J. Comput. 30(4): 750-767 (2018) - [j4]Yingfei Wang, Warren B. Powell:
Finite-Time Analysis for the Knowledge-Gradient Policy. SIAM J. Control. Optim. 56(2): 1105-1129 (2018) - [j3]Guofeng Mei, Xiaoqun Wu, Yingfei Wang, Mi Hu, Junan Lu, Guanrong Chen:
Compressive-Sensing-Based Structure Identification for Multilayer Networks. IEEE Trans. Cybern. 48(2): 754-764 (2018) - [i5]Yingfei Wang, Juliana Martins Do Nascimento, Warren B. Powell:
Dynamic Bidding for Advance Commitments in Truckload Brokerage Markets. CoRR abs/1802.08976 (2018) - 2017
- [b1]Yingfei Wang:
Advances in decision-making under uncertainty: inference, finite-time analysis, and health applications. Princeton University, USA, 2017 - [j2]Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang:
Learning Online Trends for Interactive Query Auto-Completion. IEEE Trans. Knowl. Data Eng. 29(11): 2442-2454 (2017) - [c2]Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang:
Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. AAAI 2017: 2746-2753 - [i4]Yingfei Wang, Warren B. Powell:
MOLTE: a Modular Optimal Learning Testing Environment. CoRR abs/1709.04553 (2017) - 2016
- [c1]Yingfei Wang, Chu Wang, Warren B. Powell:
The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks. ICML 2016: 1138-1147 - [i3]Yingfei Wang, Warren B. Powell:
Finite-time Analysis for the Knowledge-Gradient Policy. CoRR abs/1606.04624 (2016) - [i2]Yingfei Wang, Warren B. Powell:
An optimal learning method for developing personalized treatment regimes. CoRR abs/1607.01462 (2016) - 2015
- [j1]Yingfei Wang, Kristofer G. Reyes, Keith A. Brown, Chad A. Mirkin, Warren B. Powell:
Nested-Batch-Mode Learning and Stochastic Optimization with An Application to Sequential MultiStage Testing in Materials Science. SIAM J. Sci. Comput. 37(3) (2015) - [i1]Chu Wang, Yingfei Wang, Weinan E, Robert E. Schapire:
Functional Frank-Wolfe Boosting for General Loss Functions. CoRR abs/1510.02558 (2015)
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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