no code implementations • 8 May 2024 • Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng
Pre-trained large language models (LLM) have emerged as a powerful tool for simulating various scenarios and generating output given specific instructions and multimodal input.
no code implementations • 7 May 2024 • Jinghai He, Cheng Hua, Yingfei Wang, Zeyu Zheng
Drug discovery is a complex process that involves sequentially screening and examining a vast array of molecules to identify those with the target properties.
1 code implementation • 24 Jan 2024 • Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen
We take another angle to investigate color contrast's impact, beyond skin tones, on malignancy detection in skin disease datasets: We hypothesize that in addition to skin tones, the color difference between the lesion area and skin also plays a role in malignancy detection performance of dermatology AI models.
no code implementations • 30 Jan 2023 • Xintao Chu, Jianping Liu, Jian Wang, XiaoFeng Wang, Yingfei Wang, Meng Wang, Xunxun Gu
As the number of open and shared scientific datasets on the Internet increases under the open science movement, efficiently retrieving these datasets is a crucial task in information retrieval (IR) research.
no code implementations • 19 Jan 2023 • Yingfei Wang, Jianping Liu, Jian Wang, XiaoFeng Wang, Meng Wang, Xintao Chu
In this paper, We use Transformer as the backbone network of feature extraction, add filter layer innovatively, and propose a new Filter-Enhanced Transformer Click Model (FE-TCM) for web search.
no code implementations • 16 Dec 2022 • Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma
It is well established in neuroscience that color vision plays an essential part in the human visual perception system.
no code implementations • 23 Oct 2022 • Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang
Supply chain management (SCM) has been recognized as an important discipline with applications to many industries, where the two-echelon stochastic inventory model, involving one downstream retailer and one upstream supplier, plays a fundamental role for developing firms' SCM strategies.
no code implementations • 25 Dec 2020 • Yingfei Wang, Inbal Yahav, Balaji Padmanabhan
This paper presents methods to choose individuals to test for infection during a pandemic such as COVID-19, characterized by high contagion and presence of asymptomatic carriers.
no code implementations • 13 Sep 2020 • Tongxin Zhou, Yingfei Wang, Lu, Yan, Yong Tan
In this study, we take a design-science perspective to propose a recommendation framework that helps users to select healthcare interventions.
no code implementations • 25 Feb 2018 • Yingfei Wang, Juliana Martins Do Nascimento, Warren Powell
Truckload brokerages, a $100 billion/year industry in the U. S., plays the critical role of matching shippers with carriers, often to move loads several days into the future.
no code implementations • 13 Sep 2017 • Yingfei Wang, Warren Powell
The Matlab-based simulator allows the comparison of a number of learning policies (represented as a series of . m modules) in the context of a wide range of problems (each represented in its own . m module) which makes it easy to add new algorithms and new test problems.
no code implementations • 13 Sep 2017 • Yingfei Wang, Chu Wang, Warren Powell
We also show that the knowledge gradient policy is asymptotically optimal in an offline setting.
no code implementations • 6 Jul 2016 • Yingfei Wang, Warren Powell
A treatment regime is a function that maps individual patient information to a recommended treatment, hence explicitly incorporating the heterogeneity in need for treatment across individuals.
no code implementations • 15 Jun 2016 • Yingfei Wang, Warren Powell
We consider sequential decision problems in which we adaptively choose one of finitely many alternatives and observe a stochastic reward.
no code implementations • 9 Oct 2015 • Chu Wang, Yingfei Wang, Weinan E, Robert Schapire
Yet, as the number of base hypotheses becomes larger, boosting can lead to a deterioration of test performance.
no code implementations • 8 Oct 2015 • Yingfei Wang, Chu Wang, Warren Powell
We consider sequential decision making problems for binary classification scenario in which the learner takes an active role in repeatedly selecting samples from the action pool and receives the binary label of the selected alternatives.
no code implementations • 6 Aug 2015 • Yan Li, Kristofer G. Reyes, Jorge Vazquez-Anderson, Yingfei Wang, Lydia M. Contreras, Warren B. Powell
We present a sparse knowledge gradient (SpKG) algorithm for adaptively selecting the targeted regions within a large RNA molecule to identify which regions are most amenable to interactions with other molecules.