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ORCIDYinghao Zhu
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2020 – today
- 2024
[j7]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: 24048-24061 (2024)- [j6]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): 100951 (2024) - [c9]Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan:
EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation. CIKM 2024: 3549-3559 - [c8]Yinghao Zhu, Zixiang Wang, Long He, Shiyun Xie, Xiaochen Zheng, Liantao Ma, Chengwei Pan:
PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations. CIKM 2024: 3560-3569 - [i17]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 abs/2401.16796 (2024) - [i16]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 abs/2402.01713 (2024) - [i15]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 abs/2402.07016 (2024) - [i14]Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma:
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. CoRR abs/2403.05246 (2024) - [i13]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 abs/2403.13352 (2024) - [i12]Xin Tan, Xiao Long, Xianjun Ni, Yinghao Zhu, Jing Jiang, Li Zhang:
How far are AI-powered programming assistants from meeting developers' needs? CoRR abs/2404.12000 (2024) - [i11]Xiaoyan Su, Yinghao Zhu, Run Li:
Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition. CoRR abs/2405.03712 (2024) - [i10]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 abs/2406.00034 (2024) - [i9]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 abs/2406.00036 (2024) - [i8]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 abs/2407.18525 (2024) - [i7]Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Tianlong Wang, Wen Tang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Junyi Gao, Liantao Ma:
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. CoRR abs/2410.02551 (2024) - [i6]Shiyun Xie, Zhiru Wang, Yinghao Zhu, Chengwei Pan:
SuperGS: Super-Resolution 3D Gaussian Splatting via Latent Feature Field and Gradient-guided Splitting. CoRR abs/2410.02571 (2024) - 2023
- [j5]Waixi Liu, Jun Cai, Yinghao Zhu, Junming Luo, Jin Li:
Load balancing inside programmable data planes based on network modeling prediction using a GNN with network behaviors. Comput. Networks 227: 109695 (2023) - [j4]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): 100892 (2023) - [i5]Yinghao Zhu, Jingkun An, Enshen Zhou, Lu An, Junyi Gao, Hao Li, Haoran Feng, Bo Hou, Wen Tang, Chengwei Pan, Liantao Ma:
M3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method. CoRR abs/2306.04118 (2023) - [i4]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 abs/2309.04160 (2023) - [i3]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 abs/2310.07799 (2023) - 2022
- [j3]Waixi 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): 1049-1064 (2022) - [c7]Yinghao Zhu, Waixi Liu, Sen Ling, Junming Luo:
Network Modeling Based on GNN and Network Behaviors. ICCCS 2022: 554-559 - [c6]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: 2418-2428 - [i2]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 abs/2209.07805 (2022) - [i1]Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao:
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. CoRR abs/2210.17292 (2022) - 2021
- [c5]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: 263-270 - 2020
- [c4]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: 395-401
2010 – 2019
- 2019
- [j2]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: 1-17 (2019) - 2018
- [j1]Jiachen Yang, Yinghao Zhu, Chaofan Ma, Wen Lu, Qinggang Meng:
Stereoscopic video quality assessment based on 3D convolutional neural networks. Neurocomputing 309: 83-93 (2018) - 2017
- [c3]Jiachen Yang, Bin Jiang, Chunqi Ji, Yinghao Zhu, Wen Lu:
Stereoscopic Image Quality Assessment Based on Binocular Adding and Subtracting. CCCV (2) 2017: 237-247 - [c2]Jiachen Yang, Bin Jiang, Yinghao Zhu, Chunqi Ji, Wen Lu:
An Image Quality Evaluation Method Based on Joint Deep Learning. ICONIP (1) 2017: 658-665
2000 – 2009
- 2004
- [c1]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: 387-391
Coauthor Index
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