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2020 – today
- 2026
[j10]Xu Yu
, Pengju Ding, Jie Yu, Junyu Lin, Lei Guo, Guanfeng Liu, Liang Xi:
Multi-behavioral recommendation algorithm based on decoupled graph convolution. Expert Syst. Appl. 298: 129618 (2026)- [j9]Biyun Sheng, Pengju Ding, Hui Cai, Chuyu Wang, Fu Xiao, Tie Qiu:
Toward Adaptive Person Re-Identification via mmWave Radar Point Clouds. IEEE Trans. Netw. 34: 2047-2060 (2026) - 2025
- [j8]Jianxin Wang, Pengju Ding, Yongxin Zhu, Xin Gao, Xu Yu, Bin Yu:
MSN-DTA: A multi-scale node adaptive graph neural network for interpretable drug-target binding affinity prediction. Knowl. Based Syst. 320: 113699 (2025) - [j7]Pengju Ding, Jianxin Wang, Shiyue He, Xin Gao, Xu Yu, Bin Yu:
DeepUTF: Locating transcription factor binding sites via interpretable dual-channel encoder-decoder structure. Pattern Recognit. 161: 111279 (2025) - [j6]Yifei Wang, Pengju Ding, Congjing Wang, Shiyue He, Xin Gao, Bin Yu:
RPI-GGCN: Prediction of RNA-Protein Interaction Based on Interpretability Gated Graph Convolution Neural Network and Co-Regularized Variational Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7681-7695 (2025) - [d1]Pengju Ding:
CrossT-GAN. IEEE DataPort, 2025
- 2024
- [j5]Haojie Lian, Pengju Ding, Chao Yu, Xinyu Zhang, Guozhu Liu, Bin Yu:
A weighted integration method based on graph representation learning for drug repositioning. Appl. Soft Comput. 161: 111763 (2024) - [j4]Congjing Wang, Yifei Wang, Pengju Ding, Shan Li, Xu Yu, Bin Yu:
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks. Comput. Biol. Medicine 170: 107944 (2024) - [j3]Dianlong An, Panpan Liu, Yan Feng, Pengju Ding, Weifeng Zhou, Bin Yu:
Dynamic weighted knowledge distillation for brain tumor segmentation. Pattern Recognit. 155: 110731 (2024) - 2023
- [j2]Yutong Yu, Pengju Ding, Hongli Gao, Guozhu Liu, Fa Zhang, Bin Yu:
Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction. Briefings Bioinform. 24(2) (2023) - [j1]Pengju Ding, Yifei Wang, Xinyu Zhang, Xin Gao, Guozhu Liu, Bin Yu:
DeepSTF: predicting transcription factor binding sites by interpretable deep neural networks combining sequence and shape. Briefings Bioinform. 24(4) (2023)
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