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ORCIDHaochen Zhao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j20]Haochen Zhao, Jian Zhong, Xiao Liang, Chenliang Xie, Shaokai Wang:
Application of machine learning in drug side effect prediction: databases, methods, and challenges. Frontiers Comput. Sci. 19(5): 195902 (2025)- 2024
- [j19]Haochen Zhao
, Jie Wen, Jinqian Yang, Xingjuan Cai, Chunxia Liu:
A many-objective optimization-based local tensor factorization model for skin cancer detection. Concurr. Comput. Pract. Exp. 36(6) (2024) - [j18]Jianghui Cai, Jinqian Yang, Jie Wen, Haochen Zhao, Zhihua Cui:
A game theory based many-objective hybrid tensor decomposition for skin cancer prediction. Expert Syst. Appl. 239: 122425 (2024) - [j17]Jingyi Shu, Xinli Zhou, Jixuan Hao, Haochen Zhao, Mingming An, Yichen Zhang, Guozhong Zhao:
Terahertz Sensing of L-Valine and L-Phenylalanine Solutions. Sensors 24(12): 3798 (2024) - [j16]Xiu Liu, Xinxin Han, Huan Xia, Kang Li, Haochen Zhao, Jia Jia, Gang Zhen, Linzhi Su, Fengjun Zhao, Xin Cao:
PointCluster: Deep Clustering of 3-D Point Clouds With Semantic Pseudo-Labeling. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c15]Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, Guihua Duan:
ISGDRP: a multi-modal learning method for drug response prediction. BCB 2024: 21:1-21:8 - [c14]Ruikang Zhou, Haochen Zhao, Jian Zhong, Guihua Duan:
PepGPL: A Multi-Task Framework for Identifying Peptide-Protein Interactions and Corresponding Binding Residues. BCB 2024: 22:1-22:9 - [c13]Teng Ma, Haochen Zhao, Qichang Zhao, Jianxin Wang:
Cox-Path: Biological Pathway-Informed Graph Neural Network for Cancer Survival Prediction. BCB 2024: 70:1-70:6 - [c12]Songping Wang, Hanqing Liu, Haochen Zhao:
Public-Domain Locator for Boosting Attack Transferability on Videos. ICME 2024: 1-6 - [c11]Xiao Liang, Haochen Zhao, Jianxin Wang:
KT-AMP: Enhancing Antimicrobial Peptide Functions Prediction Through Knowledge Transfer on Protein Language Model. ISBRA (2) 2024: 59-70 - [c10]Chenliang Xie, Haochen Zhao, Jianxin Wang:
DVMPDC: A Deep Learning Model Based on Dual-View Representation and Multi-Strategy Pooling for Predicting Synergistic Drug Combinations. ISBRA (2) 2024: 445-457 - [c9]Yuxiang Li, Haochen Zhao, Jianxin Wang:
MEMDA: A Multi-similarity Integration Pre-completion Algorithm with Error Correction for Predicting Microbe-Drug Associations. ISBRA (2) 2024: 458-469 - [c8]Xiaoze Wu, Qingfeng Li, Chen Chen, Xinlei Zhang, Haochen Zhao, Jianwei Niu:
L2R-Nav: A Large Language Model-Enhanced Framework for Robotic Navigation. KSEM (4) 2024: 73-84 - [c7]Haochen Zhao, Hui Meng, Deqian Yang, Xiaozheng Xie, Xiaoze Wu, Qingfeng Li, Jianwei Niu:
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled Data. ACM Multimedia 2024: 886-895 - [c6]Deqian Yang, Haochen Zhao, Gaojie Jin, Hui Meng, Lijun Zhang:
Class-Aware Cross Pseudo Supervision Framework for Semi-Supervised Multi-organ Segmentation in Abdominal CT Scans. PRCV (14) 2024: 148-162 - [i3]Haochen Zhao, Hui Meng, Deqian Yang, Xiaozheng Xie, Xiaoze Wu, Qingfeng Li, Jianwei Niu:
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled Data. CoRR abs/2408.04914 (2024) - [i2]Peizhuang Cong, Qizhi Chen, Haochen Zhao, Tong Yang:
BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching. CoRR abs/2410.18701 (2024) - 2023
- [j15]Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, Yaohang Li, Jianxin Wang:
MSDRP: a deep learning model based on multisource data for predicting drug response. Bioinform. 39(9) (2023) - [j14]Qichang Zhao, Guihua Duan, Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang:
GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1943-1952 (2023) - [j13]Haochen Zhao, Guihua Duan, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang:
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2712-2723 (2023) - [j12]Haochen Zhao, Ruihong Du, Ruikang Zhou, Suning Li, Guihua Duan, Jianxin Wang:
SCN-MLTPP: A Multi-Label Classifier for Predicting Therapeutic Properties of Peptides Using the Stacked Capsule Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3715-3724 (2023) - [c5]Hui Meng, Haochen Zhao, Deqian Yang, Songping Wang, Zhenpeng Li:
Coarse to Fine Segmentation Method Enables Accurate and Efficient Segmentation of Organs and Tumor in Abdominal CT. FLARE@MICCAI 2023: 115-129 - 2022
- [j11]Haochen Zhao, Shaokai Wang, Kai Zheng, Qichang Zhao, Feng Zhu, Jianxin Wang:
A similarity-based deep learning approach for determining the frequencies of drug side effects. Briefings Bioinform. 23(1) (2022) - [j10]Yixin Yan, Mengyun Yang, Haochen Zhao, Guihua Duan, Xiaoqing Peng, Jianxin Wang:
Drug repositioning based on multi-view learning with matrix completion. Briefings Bioinform. 23(3) (2022) - [j9]Shaokai Wang, Haochen Zhao:
SADeepcry: a deep learning framework for protein crystallization propensity prediction using self-attention and auto-encoder networks. Briefings Bioinform. 23(5) (2022) - [j8]Kai Zheng, Haochen Zhao, Qichang Zhao, Bin Wang, Xin Gao, Jianxin Wang:
NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks. Briefings Bioinform. 23(5) (2022) - [j7]Qichang Zhao, Haochen Zhao, Kai Zheng, Jianxin Wang:
HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism. Bioinform. 38(3): 655-662 (2022) - [c4]Haochen Zhao, Guihua Duan, Botu Yang, Suning Li, Jianxin Wang:
Predicting of microbe-drug associations via a pre-completion-based label propagation algorithm. BIBM 2022: 686-691 - [c3]Haochen Zhao, Jianwei Niu, Hui Meng, Yong Wang, Qingfeng Li, Ziniu Yu:
Focal U-Net: A Focal Self-attention based U-Net for Breast Lesion Segmentation in Ultrasound Images. EMBC 2022: 1506-1511 - [c2]Hui Meng, Haochen Zhao, Ziniu Yu, Qingfeng Li, Jianwei Niu:
Uncertainty-aware Mean Teacher Framework with Inception and Squeeze-and-Excitation Block for MICCAI FLARE22 Challenge. FLARE@MICCAI 2022: 245-259 - [i1]Hang Yang, Zekun Niu, Haochen Zhao, Shilin Xiao, Weisheng Hu, Lilin Yi:
Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme. CoRR abs/2201.05502 (2022) - 2021
- [j6]Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang:
A novel graph attention model for predicting frequencies of drug-side effects from multi-view data. Briefings Bioinform. 22(6) (2021) - [j5]Haochen Zhao, Yaohang Li, Jianxin Wang:
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals. Bioinform. 37(18): 2841-2847 (2021) - [j4]Jiechen Li, Haochen Zhao, Zhanwei Xuan, Jingwen Yu, Xiang Feng, Bo Liao, Lei Wang:
A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1049-1059 (2021) - 2020
- [c1]Haochen Zhao, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang:
A novel approach based on deep residual learning to predict drug's anatomical therapeutic chemical code. BIBM 2020: 921-926
2010 – 2019
- 2019
- [j3]Zhanwei Xuan, Xiang Feng, Jingwen Yu, Pengyao Ping, Haochen Zhao, Xianyou Zhu, Lei Wang:
A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration. Comput. Math. Methods Medicine 2019: 7614850:1-7614850:13 (2019) - 2018
- [j2]Haochen Zhao, Linai Kuang, Lei Wang, Pengyao Ping, Zhanwei Xuan, Tingrui Pei, Zhelun Wu:
Prediction of microRNA-disease associations based on distance correlation set. BMC Bioinform. 19(1): 141:1-141:14 (2018) - [j1]Haochen Zhao, Linai Kuang, Lei Wang, Zhanwei Xuan:
A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs. Comput. Math. Methods Medicine 2018: 6747453:1-6747453:12 (2018)
Coauthor Index
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