Haochen Zhao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Robotic Navigation

Label Propagation Algorithm

Tensor Factorization

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

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 (2024)
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)
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)
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) (2024)
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 (2024)
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)
Xiao Liang, Haochen Zhao, Jianxin Wang
KT-AMP: Enhancing Antimicrobial Peptide Functions Prediction Through Knowledge Transfer on Protein Language Model. ISBRA (2) (2024)
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)
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) (2023)
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) (2023)
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) (2023)
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)
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)
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)
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)
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 (2022)
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)
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) (2022)
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)
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)
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)
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)
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) (2021)
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) (2021)
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)
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)
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 (2019)
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) (2018)
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 (2018)