Yinghao Zhu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 27

Top Topics

Stereoscopic Video

Data Imputation

Predictive Modeling

Top Venues

Publications

Yinghao Zhu, Changyu Ren, Shiyun Xie, Shukai Liu, Hangyuan Ji, Zixiang Wang, Tao Sun, Long He, Zhoujun Li, Xi Zhu, Chengwei Pan
REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models. CoRR (2024)
Yinghao Zhu, Zixiang Wang, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma, Chengwei Pan
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data. CoRR (2024)
Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma
Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. CoRR (2024)
Xiaoyan Su, Yinghao Zhu, Run Li
Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition. CoRR (2024)
Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Liantao Ma
Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. CoRR (2024)
Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling. CoRR (2024)
Junyi Gao, Yinghao Zhu, Wenqing Wang, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma
A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care. Patterns 5 (4) (2024)
Yinghao Zhu, Chenhao Ying, Yan Zhou, Jiangang Lu
A Predictive Adaptive Learning Method for Multivariable Time Series With Mooney Viscosity Prediction as an Application Case. IEEE Access 12 (2024)
Tianlong Wang, Xianfeng Jiao, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. CoRR (2024)
Xin Tan, Xiao Long, Xianjun Ni, Yinghao Zhu, Jing Jiang, Li Zhang
How far are AI-powered programming assistants from meeting developers' needs? CoRR (2024)
Jingkun An, Yinghao Zhu, Zongjian Li, Haoran Feng, Bohua Chen, Yemin Shi, Chengwei Pan
AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. CoRR (2024)
Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. CoRR (2024)
Zhongji Zhang, Yuhang Wang, Yinghao Zhu, Xinyu Ma, Tianlong Wang, Chaohe Zhang, Yasha Wang, Liantao Ma
A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets. CoRR (2023)
Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Zixi Chen, Jingkun An, Liantao Ma, Chengwei Pan
Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration to Mitigate EHR Data Sparsity. CoRR (2023)
Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Yinghao Zhu, Tianlong Wang, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, Tao Wang
Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients. Patterns 4 (12) (2023)
Yinghao Zhu, Jingkun An, Enshen Zhou, Lu An, Junyi Gao, Hao Li, Haoran Feng, Bo Hou, Wen Tang, Chengwei Pan, Liantao Ma
Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method. CoRR (2023)
Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
Care: Learning with Missing Modalities in Multimodal Healthcare Data. CoRR (2022)
Yinghao Zhu, Waixi Liu, Sen Ling, Junming Luo
Network Modeling Based on GNN and Network Behaviors. ICCCS (2022)
Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. KDD (2022)
Wai-Xi Liu, Jinjie Lu, Jun Cai, Yinghao Zhu, Sen Ling, Qingchun Chen
DRL-PLink: Deep Reinforcement Learning With Private Link Approach for Mix-Flow Scheduling in Software-Defined Data-Center Networks. IEEE Trans. Netw. Serv. Manag. 19 (2) (2022)
Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Liantao Ma
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis. CoRR (2022)
Sen Ling, Waixi Liu, Yinghao Zhu, Miaoquan Tan, Jieming Huang, Zhenzheng Guo, Wen-Hong Lin
FullSight: Towards Scalable, High-Coverage, and Fine-grained Network Telemetry. MSN (2021)
Jinjie Lu, Waixi Liu, Yinghao Zhu, Sen Ling, Zhitao Chen, Jiaqi Zeng
Scheduling mix-flow in SD-DCN based on Deep Reinforcement Learning with Private Link. MSN (2020)
Jiachen Yang, Yang Zhao, Yinghao Zhu, Huifang Xu, Wen Lu, Qinggang Meng
Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network. Inf. Sci. 474 (2019)
Jiachen Yang, Yinghao Zhu, Chaofan Ma, Wen Lu, Qinggang Meng
Stereoscopic video quality assessment based on 3D convolutional neural networks. Neurocomputing 309 (2018)
Jiachen Yang, Bin Jiang, Chunqi Ji, Yinghao Zhu, Wen Lu
Stereoscopic Image Quality Assessment Based on Binocular Adding and Subtracting. CCCV (2) (2017)
Jiachen Yang, Bin Jiang, Yinghao Zhu, Chunqi Ji, Wen Lu
An Image Quality Evaluation Method Based on Joint Deep Learning. ICONIP (1) (2017)
Lianxing Jia, Lin Wang, Guomin Xuan, Xiaoping Xing, Yinghao Zhu, Weifeng Shan
The Design and Realization of the 3D Visualization System Based on HLA. SNPD (2004)