Yinghao Zhu

According to our database, Yinghao Zhu authored at least 33 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Junyi Gao, Yinghao Zhu, Wenqing Wang, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma

Patterns, 2024

SuperGS: Super-Resolution 3D Gaussian Splatting via Latent Feature Field and Gradient-guided Splitting.

Shiyun Xie, Zhiru Wang, Yinghao Zhu, Chengwei Pan

CoRR, 2024

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration.

Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Tianlong Wang, Wen Tang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Junyi Gao, Liantao Ma

CoRR, 2024

Is larger always better? Evaluating and prompting large language models for non-generative medical tasks.

Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Liantao Ma

CoRR, 2024

EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling.

Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan

CoRR, 2024

Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories.

Tianlong Wang, Xianfeng Jiao, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma

CoRR, 2024

Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition.

Xiaoyan Su, Yinghao Zhu, Run Li

CoRR, 2024

How far are AI-powered programming assistants from meeting developers' needs?

Xin Tan, Xiao Long, Xianjun Ni, Yinghao Zhu, Jing Jiang, Li Zhang

CoRR, 2024

AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation.

Jingkun An, Yinghao Zhu, Zongjian Li, Haoran Feng, Bohua Chen, Yemin Shi, Chengwei Pan

CoRR, 2024

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

Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma

CoRR, 2024

REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models.

Yinghao Zhu, Changyu Ren, Shiyun Xie, Shukai Liu, Hangyuan Ji, Zixiang Wang, Tao Sun, Long He, Zhoujun Li, Xi Zhu, Chengwei Pan

CoRR, 2024

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

Yinghao Zhu, Zixiang Wang, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma, Chengwei Pan

CoRR, 2024

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

Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma

CoRR, 2024

A Predictive Adaptive Learning Method for Multivariable Time Series With Mooney Viscosity Prediction as an Application Case.

Yinghao Zhu, Chenhao Ying, Yan Zhou, Jiangang Lu

IEEE Access, 2024

PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations.

Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Xiaochen Zheng, Liantao Ma, Chengwei Pan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.

Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients.

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

Patterns, December, 2023

Load balancing inside programmable data planes based on network modeling prediction using a GNN with network behaviors.

Waixi Liu, Jun Cai, Yinghao Zhu, Junming Luo, Jin Li

Comput. Networks, May, 2023

A Transfer-Learning-Based Prognosis Prediction Paradigm that Bridges Data Distribution Shift across EMR Datasets.

Zhongji Zhang, Yuhang Wang, Yinghao Zhu, Xinyu Ma, Tianlong Wang, Chaohe Zhang, Yasha Wang, Liantao Ma

CoRR, 2023

Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration to Mitigate EHR Data Sparsity.

Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Zixi Chen, Jingkun An, Liantao Ma, Chengwei Pan

CoRR, 2023

M³Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method.

Yinghao Zhu, Jingkun An, Enshen Zhou, Lu An, Junyi Gao, Hao Li, Haoran Feng, Bo Hou, Wen Tang, Chengwei Pan, Liantao Ma

CoRR, 2023

2022

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

Waixi Liu, Jinjie Lu, Jun Cai, Yinghao Zhu, Sen Ling, Qingchun Chen

IEEE Trans. Netw. Serv. Manag., 2022

M³Care: Learning with Missing Modalities in Multimodal Healthcare Data.

Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao

CoRR, 2022

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis.

Junyi Gao, Yinghao Zhu, Wenqing Wang, Yasha Wang, Wen Tang, Liantao Ma

CoRR, 2022

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data.

Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Network Modeling Based on GNN and Network Behaviors.

Yinghao Zhu, Waixi Liu, Sen Ling, Junming Luo

Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

2021

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

Sen Ling, Waixi Liu, Yinghao Zhu, Miaoquan Tan, Jieming Huang, Zhenzheng Guo, Wen-Hong Lin

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2020

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

Jinjie Lu, Waixi Liu, Yinghao Zhu, Sen Ling, Zhitao Chen, Jiaqi Zeng

Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

2019

Blind assessment for stereo images considering binocular characteristics and deep perception map based on deep belief network.

Jiachen Yang, Yang Zhao, Yinghao Zhu, Huifang Xu, Wen Lu, Qinggang Meng

Inf. Sci., 2019

2018

Stereoscopic video quality assessment based on 3D convolutional neural networks.

Jiachen Yang, Yinghao Zhu, Chaofan Ma, Wen Lu, Qinggang Meng

Neurocomputing, 2018

2017

An Image Quality Evaluation Method Based on Joint Deep Learning.

Jiachen Yang, Bin Jiang, Yinghao Zhu, Chunqi Ji, Wen Lu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Stereoscopic Image Quality Assessment Based on Binocular Adding and Subtracting.

Jiachen Yang, Bin Jiang, Chunqi Ji, Yinghao Zhu, Wen Lu

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2004

The Design and Realization of the 3D Visualization System Based on HLA.

Lianxing Jia, Lin Wang, Guomin Xuan, Xiaoping Xing, Yinghao Zhu, Weifeng Shan

Proceedings of the 4th IEEE International Workshop on Source Code Analysis and Manipulation (SCAM 2004), 2004