Yinghao Zhu

发表

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data

Jiangtao Wang, Yasha Wang, Xu Chu, 2022, KDD.

DRL-PLink: Deep Reinforcement Learning With Private Link Approach for Mix-Flow Scheduling in Software-Defined Data-Center Networks

Wai-xi Liu, Jun Cai, Q. Chen, 2022, IEEE Transactions on Network and Service Management.

Aircraft detection in remote sensing images based on a deep residual network and Super-Vector coding

Lei Gao, Bin Jiang, Jiachen Yang, 2018 .

FullSight: Towards Scalable, High-Coverage, and Fine-grained Network Telemetry

Jieming Huang, Yinghao Zhu, Sen Ling, 2021, International Conference on Mobile Ad-hoc and Sensor Networks.

Scheduling mix-flow in SD-DCN based on Deep Reinforcement Learning with Private Link

Waixi Liu, Jinjie Lu, Yinghao Zhu, 2020, 2020 16th International Conference on Mobility, Sensing and Networking (MSN).

A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care

Yasha Wang, Wen Tang, Ying Zhu, 2022, Patterns.

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction

Xu Chu, Yinghao Zhu, Liantao Ma, 2024, ArXiv.

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation

Yinghao Zhu, Liantao Ma, Yasha Wang, 2024, ArXiv.

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data

Yinghao Zhu, Liantao Ma, Ewen M. Harrison, 2024, ArXiv.

Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets

Chaohe Zhang, Yinghao Zhu, Liantao Ma, 2023, 2310.07799.

Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients

Wen Tang, Wenjie Ruan, Junyi Gao, 2023, Patterns.