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Zhenhao Zhang
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2020 – today
- 2024
- [j10]Zhenhao Zhang, Yuxi Liu, Meichen Xiao, Kun Wang, Yu Huang, Jiang Bian, Ruolin Yang, Fuyi Li:
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysis. Briefings Bioinform. 25(6) (2024) - [j9]Ting Bai, Xiaotong Wang, Zhenhao Zhang, Wei Song, Bin Wu, Jian-Yun Nie:
GPR-OPT: A Practical Gaussian optimization criterion for implicit recommender systems. Inf. Process. Manag. 61(1): 103525 (2024) - [j8]Zheng Li, Houjin Chen, Jupeng Li, Song Peng, Zhenhao Zhang, Baozheng Wang, Changyong Wang:
FusFormer: global and detail feature fusion transformer for semantic segmentation of small objects. Multim. Tools Appl. 83(41): 88717-88744 (2024) - [j7]Jianbin Xiong, Zhenhao Zhang, Changdong Wang, Jian Cen, Qi Wang, Jinji Nie:
Pupil localization algorithm based on lightweight convolutional neural network. Vis. Comput. 40(11): 8055-8071 (2024) - [c18]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen, Jiang Bian:
An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy. ADMA (4) 2024: 33-47 - [c17]Xiaofei Zhou, Jingwan Tang, Hanjia Lyu, Xinyi Liu, Zhenhao Zhang, Lichen Qin, Fiona Au, Advait Sarkar, Zhen Bai:
Creating an authoring tool for K-12 teachers to design ML-supported scientific inquiry learning. CHI Extended Abstracts 2024: 90:1-90:7 - [c16]Jieyu Zheng, Haoliang Zhu, Yifan Dong, Zhenyu Song, Zhenhao Zhang, Yafang Yang, Yunlei Zhao:
Faster Post-quantum TLS 1.3 Based on ML-KEM: Implementation and Assessment. ESORICS (2) 2024: 123-143 - [c15]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Jiang Bian, Antonio Jimeno-Yepes:
Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks. ICHI 2024: 1-10 - [c14]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen, Jiang Bian:
Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction. ICHI 2024: 123-128 - [c13]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jiang Bian:
Multi-Task Deep Neural Networks for Irregularly Sampled Multivariate Clinical Time Series. ICHI 2024: 135-140 - [c12]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim:
A Multi-Graph Fusion Framework for Patient Representation Learning. ICHI 2024: 222-227 - [c11]Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim:
Boosting Patient Representation Learning via Graph Contrastive Learning. ECML/PKDD (9) 2024: 335-350 - [i7]Jieyu Zheng, Haoliang Zhu, Yifan Dong, Zhenyu Song, Zhenhao Zhang, Yafang Yang, Yunlei Zhao:
Faster Post-Quantum TLS 1.3 Based on ML-KEM: Implementation and Assessment. CoRR abs/2404.13544 (2024) - [i6]Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi:
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. CoRR abs/2405.16173 (2024) - 2023
- [c10]Zhenhao Zhang, Yibo Hu, Bin Wu:
Negative Edge Prediction for Attributed Graph Clustering. ICANN (4) 2023: 524-536 - [c9]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records. IJCNN 2023: 1-8 - [c8]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records. IJCNN 2023: 1-9 - [c7]Yuxi Liu, Zhenhao Zhang, Campbell Thompson, Richard Leibbrandt, Shaowen Qin, Antonio Jimeno-Yepes:
Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction. IJCNN 2023: 1-8 - [c6]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. ECML/PKDD (6) 2023: 428-443 - [i5]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs. CoRR abs/2308.09896 (2023) - [i4]Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen:
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction. CoRR abs/2308.12575 (2023) - 2022
- [j6]Zhigang Li, Ziqiang Pang, Jinlong Qiu, Zhenhao Zhang, Xiaochuan Liu, Chunyu Bai, Yafeng Wang, Yazhou Guo:
Quantification and statistical analysis on the cranial vault morphology for Chinese children 3-10 years old. Comput. Methods Programs Biomed. 215: 106591 (2022) - [j5]Zhenhao Zhang, Fan Feng, Jie Liu:
Characterizing collaborative transcription regulation with a graph-based deep learning approach. PLoS Comput. Biol. 18(6) (2022) - [j4]Zhenhao Zhang, Gaoming Liang, Qinglei Niu, Fuming Wang, Jigong Chen, Bing Zhao, Lu Ke:
A Wiener degradation process with drift-based approach of determining target reliability index of concrete structures. Qual. Reliab. Eng. Int. 38(7): 3710-3725 (2022) - [j3]Zhenhao Zhang, Gaoming Liang, Qinglei Niu, Fuming Wang, Jigong Chen, Bing Zhao, Lu Ke:
Cover Image, Volume 38, Issue 7. Qual. Reliab. Eng. Int. 38(7): i (2022) - [c5]Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim:
Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction. BCB 2022: 16:1-16:10 - [c4]Yuxi Liu, Shaowen Qin, Zhenhao Zhang, Wei Shao:
Compound Density Networks for Risk Prediction using Electronic Health Records. BIBM 2022: 1078-1085 - [c3]Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. BIBM 2022: 1658-1663 - [c2]Yuxi Liu, Shaowen Qin, Zhenhao Zhang:
Epidemic Modeling of the Spatiotemporal Spread of COVID-19 over an Intercity Population Mobility Network. IEA/AIE 2022: 147-159 - [i3]Yuxi Liu, Zhenhao Zhang, Antonio Jimeno-Yepes, Flora D. Salim:
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction. CoRR abs/2207.06414 (2022) - [i2]Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
Compound Density Networks for Risk Prediction using Electronic Health Records. CoRR abs/2208.01320 (2022) - [i1]Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. CoRR abs/2211.06045 (2022) - 2020
- [j2]Zhenhao Zhang, Minhan Liu, Mingliao Zhou, Jigong Chen:
Dynamic reliability analysis of nonlinear structures using a Duffing-system-based equivalent nonlinear system method. Int. J. Approx. Reason. 126: 84-97 (2020) - [j1]Wei Sun, Zhenhao Zhang, Jie Huang:
RobNet: real-time road-object 3D point cloud segmentation based on SqueezeNet and cyclic CRF. Soft Comput. 24(8): 5805-5818 (2020)
2010 – 2019
Coauthor Index
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