Haitao Fu

According to our database, Haitao Fu authored at least 25 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Analog Mixed-Signal Circuit Splitting and Defect Simulation Method Based on Signal Flow Diagram.

Chenglin Yang, Hanyu Wen, Xinhong Huang, Han Chen, Qihao Zhang, Haitao Fu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2026

QSolver: A Quantum Constraint Solver.

Shangzhou Xia, Haitao Fu, Jianjun Zhao

CoRR, February, 2026

2025

3A Multi-Classification Division-Aggregation Framework for Fake News Detection.

Wen Zhang, Haitao Fu, Huan Wang, Zhiguo Gong, Pan Zhou, Di Wang

IEEE Trans. Big Data, February, 2025

DistRMI: a deep distance-aware neural network for explainable RNA loop motif-small molecule interaction prediction.

Zhaoxiang Liu, Qiqi Zhu, Qingyan Tian, Lei Zhong, Yingxiang Deng, Dengguo Wei, Haitao Fu

Briefings Bioinform., 2025

MLPET: a Multi-Level Prompt-Enhanced Transformer for Unified Molecular Property and Drug-Drug Interaction Event Prediction.

Qiqi Zhu, You Wu, Haitao Fu, Zhi Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

MOIRL: A Multi-Objective Inverse Reinforcement Learning-Driven Model for Therapeutic Peptide Generation.

Fan Li, Xiaotong Shi, Maojun Gan, Haitao Fu, Shushan Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

DMCRL: Deep Multi-View Contrastive Representation Learning for Drug-Target Affinity Prediction.

Haitao Fu, Maojun Gan, Fan Li, Biyong Deng, Shushan Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

DMFF-EPI: A Dual-Modality Feature Fusion Network with Contrastive Learning for Enhancer-Promoter Interaction Prediction.

Amu Erermeri, Jiahui Wu, Zhaoxiang Liu, Haitao Fu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Multiview representation learning for identification of novel cancer genes and their causative biological mechanisms.

Jianye Yang, Haitao Fu, Fei-Yang Xue, Menglu Li, Yuyang Wu, Zhanhui Yu, Haohui Luo, Jing Gong, Xiaohui Niu, Wen Zhang

Briefings Bioinform., September, 2024

Recurrent neural network for trajectory tracking control of manipulator with unknown mass matrix.

Jian Li, Junming Su, Weilin Yu, Xuping Mao, Zipeng Liu, Haitao Fu

Frontiers Neurorobotics, 2024

PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset.

Yang Hou, Haitao Fu, Chuankai Chen, Zida Li, Haoyu Zhang, Jianjun Zhao

CoRR, 2024

A Multi-view Graph Neural Network Approach for Magnetic Resonance Imaging-Based Diagnosis of Knee Injuries.

Biyong Deng, Jiashan Pan, Xiaoyu Tang, Haitao Fu, Shushan Hu

Proceedings of the Artificial Intelligence and Robotics - 9th International Symposium, 2024

PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset.

Yang Hou, Haitao Fu, Chunkai Chen, Zida Li, Haoyu Zhang, Jianjun Zhao

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction.

Shen Han, Haitao Fu, Yuyang Wu, Ganglan Zhao, Zhenyu Song, Feng Huang, Zhongfei Zhang, Shichao Liu, Wen Zhang

Briefings Bioinform., September, 2023

Feature fusion network based on few-shot fine-grained classification.

Yajie Yang, Yuxuan Feng, Li Zhu, Haitao Fu, Xin Pan, Chenlei Jin

Frontiers Neurorobotics, August, 2023

DRLM: A Robust Drug Representation Learning Method and its Applications.

Haitao Fu, Cecheng Zhao, Xiaohui Niu, Wen Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Channel-Spatial-Based Few-Shot Bird Sound Event Detection.

Lingwen Liu, Yuxuan Feng, Haitao Fu, Yajie Yang, Xin Pan, Chenlei Jin

CoRR, 2023

Physical-aware Interconnect Testing and Repairing of Chiplets.

Changming Cui, Tuanhui Xu, Haitao Fu, Junlin Huang

Proceedings of the IEEE European Test Symposium, 2023

2022

Hierarchical graph representation learning for the prediction of drug-target binding affinity.

Zhaoyang Chu, Feng Huang, Haitao Fu, Yuan Quan, Xionghui Zhou, Shichao Liu, Wen Zhang

Inf. Sci., 2022

MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks.

Haitao Fu, Feng Huang, Xuan Liu, Yang Qiu, Wen Zhang

Bioinform., 2022

GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction.

Xuan Liu, Congzhi Song, Feng Huang, Haitao Fu, Wenjie Xiao, Wen Zhang

Briefings Bioinform., 2022

2021

The Advancement of 1149.10.

Yu Huang, Haitao Fu, Bin Deng, Edward Seng, Marc Hutner, Jean-Francois Cote, Geir Eide

Proceedings of the IEEE International Test Conference in Asia, 2021

A robust drug representation learning model for eliminating cell specificity in gene expression profile and its application.

Cecheng Zhao, Ziyang Huang, Hui Wang, Haitao Fu, Dong Wang, Yingjie Gao, Haotian Zhu, Xiaohui Niu, Wen Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2009

Modulation Classification Based on Cyclic Spectral Features for Co-Channel Time-Frequency Overlapped Two-Signal.

Haitao Fu, Qun Wan, Rong Shi

Proceedings of the 2009 Pacific-Asia Conference on Circuits, Communications and Systems, 2009

2008

Integrated Circuit Design Research Ranking for Worldwide Universities.

Kiat Seng Yeo, Zhi-Hui Kong, Nukala Nishant, Haitao Fu, Wei Zeng

J. Circuits Syst. Comput., 2008