papers

Publications (17)

cs.CY2019

Big Data Platform Architecture Under The Background of Financial Technology

Yi Liu, Jiawen Peng, Zhihao Yu

With the rise of the concept of financial technology, financial and technology gradually in-depth integration, scientific and technological means to become financial product innova…

physics.app-ph2019

Integrating high-quality dielectrics with one-nanometer equivalent oxide thickness on two-dimensional electronic devices

Weisheng Li, Jian Zhou, Songhua Cai +21

Two-dimensional (2D) semiconductors are widely recognized as attractive channel materials for low-power electronics. However, an unresolved challenge is the integration of high-qua…

cond-mat.mtrl-sci2015

High-Performance Monolayer WS2 Field-effect Transistors on High-k Dielectrics

Yang Cui, Run Xin, Zhihao Yu +13

The combination of high-quality Al2O3 dielectric and thiol chemistry passivation can effectively reduce the density of interface traps and Coulomb impurities of WS2, leading to a s…

physics.app-ph2019

Plasmonic Light Illumination Creates a Channel to Achieve Fast Degradation of Ti3C2Tx Nanosheets

Jiebo Li, Ruzhan Qin, Li Yan +5

Two-dimensional (2D) material-controllable degradation under light radiation is crucial for their photonics and medical-related applications, which are yet to be investigated. In t…

cond-mat.mtrl-sci2025

The 2D Materials Roadmap

Wencai Ren, Peter Bøggild, Joan Redwing +70

Over the past two decades, 2D materials have rapidly evolved into a diverse and expanding family of material platforms. Many members of this materials class have demonstrated their…

cs.LG2024

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series

Zhihao Yu, Xu Chu, Liantao Ma +2

Irregularly sampled time series are ubiquitous, presenting significant challenges for analysis due to missing values. Despite existing methods address imputation, they predominantl…

cs.LG2023

Predict and Interpret Health Risk using EHR through Typical Patients

Zhihao Yu, Chaohe Zhang, Yasha Wang +3

Predicting health risks from electronic health records (EHR) is a topic of recent interest. Deep learning models have achieved success by modeling temporal and feature interaction.…

cond-mat.mes-hall2024

Van der Waals Magnetic Electrode Transfer for Two-Dimensional Spintronic Devices

Zhongzhong Luo, Zhihao Yu, Xiangqian Lu +11

Two-dimensional (2D) materials are promising candidates for spintronic applications. Maintaining their atomically smooth interfaces during integration of ferromagnetic (FM) electro…

cs.CV2026

Dual-Domain Representation Alignment: Bridging 2D and 3D Vision via Geometry-Aware Architecture Search

Haoyu Zhang, Zhihao Yu, Rui Wang +3

Modern computer vision requires balancing predictive accuracy with real-time efficiency, yet the high inference cost of large vision models (LVMs) limits deployment on resource-con…

cs.LG2020

CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis

Liantao Ma, Xinyu Ma, Junyi Gao +7

Due to the characteristics of COVID-19, the epidemic develops rapidly and overwhelms health service systems worldwide. Many patients suffer from systemic life-threatening problems…

cs.LG2024

IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models

Zhihao Yu, Yujie Jin, Yongxin Xu +3

While pioneering deep learning methods have made great strides in analyzing electronic health record (EHR) data, they often struggle to fully capture the semantics of diverse medic…

cs.LG2024

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction

Zhihao Yu, Xu Chu, Yujie Jin +2

Electronic health record (EHR) data has emerged as a valuable resource for analyzing patient health status. However, the prevalence of missing data in EHR poses significant challen…

cs.LG2023

Learning the Dynamic Correlations and Mitigating Noise by Hierarchical Convolution for Long-term Sequence Forecasting

Zhihao Yu, Liantao Ma, Yasha Wang +1

Deep learning algorithms, especially Transformer-based models, have achieved significant performance by capturing long-range dependencies and historical information. However, the p…

cs.LG2023

Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset

Liantao Ma, Chaohe Zhang, Junyi Gao +8

Objective: Peritoneal Dialysis (PD) is one of the most widely used life-supporting therapies for patients with End-Stage Renal Disease (ESRD). Predicting mortality risk and identif…

cond-mat.mtrl-sci2015

Realization of Room-Temperature Phonon-limited Carrier Transport in Monolayer MoS2 by Dielectric and Carrier Screening

Zhihao Yu, Zhun-Yong Ong, Yiming Pan +9

We show that by combining high-k dielectric substrate and high density of charge carriers, Coulomb impurity can be effectively screened, leading to an unprecedented room-temperatur…

cond-mat.mtrl-sci2014

Towards Intrinsic Charge Transport in Monolayer Molybdenum Disulfide by Defect and Interface Engineering

Zhihao Yu, Yiming Pan, Yuting Shen +12

Molybdenum disulfide is considered as one of the most promising two-dimensional semiconductors for electronic and optoelectronic device applications. So far, the charge transport i…

cond-mat.mtrl-sci2017

Analyzing the Carrier Mobility in Transition-metal Dichalcogenide MoS2 Field-effect Transistors

Zhihao Yu, Zhun-Yong Ong, Songlin Li +5

Transition-metal dichalcogenides (TMDCs) are important class of two-dimensional (2D) layered materials for electronic and optoelectronic applications, due to their ultimate body th…