Hao Wu

22 papers Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
EAP-LSTM: A Bi-LSTM-Based Deep Learning Framework for Quantitatively Predicting Enhancer Activity in Drosophila and Human Cell Lines.
IEEE J. Biomed. Health Informatics
Yao Zhang, Lichang Dai, Yu Dou, Xin Li, Chang Lu, Hao Wu
2026 J jnl
MomicPred: A Cell Cycle Prediction Framework Based on Dual-Branch Multi-Modal Feature Fusion for Single-Cell Multi-Omics Data.
IEEE J. Biomed. Health Informatics
Zhenqi Shi, Linxing Cong, Hao Wu
2025 J jnl
A Rule-Guided Community Detection Method for Identifying Subpopulations in Medical Data.
IEEE J. Biomed. Health Informatics
Hanyue Liu, Hong Yu, Hao Wu, Guoyin Wang
2025 J jnl
A novel deep learning framework with dynamic tokenization for identifying chromatin interactions along with motif importance investigation.
Briefings Bioinform.
Liangcan Li, Xin Li, Hao Wu
2025 J jnl
DHHNN: A Dynamic Hypergraph Hyperbolic Neural Network based on variational autoencoder for multimodal data integration and node classification.
Inf. Fusion
Zhangyu Mei, Xiao Bi, Dianguo Li, Wen Xia, Fan Yang, Hao Wu
2025 J jnl
GRANet: a graph residual attention network for gene regulatory network inference.
Briefings Bioinform.
Junliang Zhou, Ningji Gong, Yanjun Hu, Hong Yu, Guoyin Wang, Hao Wu
2025 J jnl
scHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data.
Briefings Bioinform.
Xiangfei Zhou, Hao Wu
2024 J jnl
CTPredictor: A comprehensive and robust framework for predicting cell types by integrating multi-scale features from single-cell Hi-C data.
Comput. Biol. Medicine
Zhenqi Shi, Hao Wu
2024 J jnl
Enhancer-MDLF: a novel deep learning framework for identifying cell-specific enhancers.
Briefings Bioinform.
Yao Zhang, Pengyu Zhang, Hao Wu
2024 J jnl
HHGNN: Hyperbolic Hypergraph Convolutional Neural Network based on variational autoencoder.
Neurocomputing
Zhangyu Mei, Xiao Bi, Yating Wen, Xianchun Kong, Hao Wu
2024 J jnl
lncLocator-imb: An Imbalance-Tolerant Ensemble Deep Learning Framework for Predicting Long Non-Coding RNA Subcellular Localization.
IEEE J. Biomed. Health Informatics
Haibin Liu, Dianguo Li, Hao Wu
2023 J jnl
IChrom-Deep: An Attention-Based Deep Learning Model for Identifying Chromatin Interactions.
IEEE J. Biomed. Health Informatics
Pengyu Zhang, Hao Wu
2023 J jnl
MultiSimNeNc: A network representation learning-based module identification method by network embedding and clustering.
Comput. Biol. Medicine
Hao Wu, Biting Liang, Zhongli Chen, Hongming Zhang
2022 J jnl
CLNN-loop: a deep learning model to predict CTCF-mediated chromatin loops in the different cell lines and CTCF-binding sites (CBS) pair types.
Bioinform.
Pengyu Zhang, Yingfu Wu, Haoru Zhou, Bing Zhou, Hongming Zhang, Hao Wu
2022 J jnl
Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method.
Briefings Bioinform.
Fan Yang, Shuaijie Zhang, Wei Pan, Ruiyuan Yao, Weiguo Zhang, Yanchun Zhang, Guoyin Wang, Qianghua Zhang, Yunlong Cheng, Jihua Dong, Chunyang Ruan, Lizhen Cui, Hao Wu, Fuzhong Xue
2022 J jnl
StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies.
Briefings Bioinform.
Hao Wu, Pengyu Zhang, Zhaoheng Ai, Leyi Wei, Hongming Zhang, Fan Yang, Lizhen Cui
2022 — conf
scHiCSC: A Novel Single-Cell Hi-C Clustering Framework by Contact-Weight-Based Smoothing and Feature Fusion.
BIBM
Xiangfei Zhou, Zhenqi Shi, Yingfu Wu, Jin Zhao, Hao Wu
2022 J jnl
scHiCStackL: a stacking ensemble learning-based method for single-cell Hi-C classification using cell embedding.
Briefings Bioinform.
Hao Wu, Yingfu Wu, Yuhong Jiang, Bing Zhou, Haoru Zhou, Zhongli Chen, Yi Xiong, Quanzhong Liu, Hongming Zhang
2021 J jnl
Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification.
Briefings Bioinform.
Xiao Liang, Fuyi Li, Jinxiang Chen, Junlong Li, Hao Wu, Shuqin Li, Jiangning Song, Quanzhong Liu
2021 J jnl
Strategies of attack-defense game for wireless sensor networks considering the effect of confidence level in fuzzy environment.
Eng. Appl. Artif. Intell.
Yingfu Wu, Bingyi Kang, Hao Wu
2016 J jnl
Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hao Wu, Lin Gao, Nikola K. Kasabov
2015 J jnl
Identifying overlapping mutated driver pathways by constructing gene networks in cancer.
BMC Bioinform.
Hao Wu, Lin Gao, Feng Li, Fei Song, Xiaofei Yang, Nikola K. Kasabov