三、代表性科研成果： 部分论文： [1] Y Wang, Y Zhai, Y Ding*, Q Zou*. SBSM-Pro: support bio-sequence machine for proteins. SCIENCE CHINA Information Sciences. 2024, 67, 212106. [2] C Cao, M Shao, J Wang, Z Li, H Chen, T You, M Li, Y Ding*, Q Zou*. webTWAS 2.0: update platform for identifying complex disease susceptibility genes through transcriptome-wide association study. Nucleic Acids Research 2025, 53(D1): D1261–D1269. [3] X Guo, Z Zheng, K Cheong, Q Zou, P Tiwari*, Y Ding*, Sequence homology score-based deep fuzzy network for identifying therapeutic peptides. Neural Networks 2024, 178(4):106458. [4] Y Ding, P Tiwari, F Guo, Q Zou*, W Ding*. Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites. IEEE Transactions on Fuzzy Systems, 2024, 32(10): 5714-5727. [5] L Wang, Y Qian, H Xie, Y Ding*, Fei Guo*. Structured Sparse Regularization-based Deep Fuzzy Networks for RNA N6-Methyladenosine Sites Prediction. IEEE Transactions on Fuzzy Systems, 2025 33(1): 131-144. [6]Y Qian, Q Zou, M Zhao, Y Liu, F Guo*, Y Ding*. scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization. PLoS Computational Biology 2024, 20(8): e1012339. [7] J Liu, F Hu, Q Zou, P Tiwari, H Wu*, Y Ding*. Drug Repositioning by Multi-Aspect Heterogeneous Graph Contrastive Learning and Positive-Fusion Negative Sampling. Information Fusion 2024, 112: 102563. [8] M Dou, J Tang, P Tiwari, Y Ding*, F Guo*. Drug-drug interaction relation extraction based on deep learning: A review. ACM Computing Surveys 2024, DOI: 10.1145/3645089. [9] C Ai, H Yang, X Liu, R Dong, Y Ding*, Fei Guo*. MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning. PLoS Computational Biology 2024, DOI: 10.1371/journal.pcbi.1012229. [10] Y Ding, J Tang, F Guo. Protein crystallization identification via fuzzy model on linear neighborhood representation. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2021, 18(5): 1986-1995. [11] H Wu, J Liu, T Jiang, Q Zou, S Qi, Z Cui, P Tiwari, Y Ding*. AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Neural Networks 2023, 169, 623-636. [12] Y Ding, F Guo, P Tiwari, Q Zou. Identification of drug-side effect association via multi-view semi-supervised sparse model. IEEE Transactions on Artificial Intelligence 2023, DOI: 10.1109/TAI.2023.3314405. [13] Y Ding, P Tiwari, F Guo, Q Zou. Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites. Information Fusion 2023, 100, 101911. [14] Y Ding, P Tiwari, Q Zou, F Guo, HM Pandey. C-loss based higher order fuzzy inference systems for identifying DNA N4-methylcytosine sites. IEEE Transactions on Fuzzy Systems 2022, 30 (11), 4754-4765. [15] Y Ding, W He, J Tang, Q Zou, F Guo. Laplacian regularized sparse representation based classifier for identifying DNA N4-methylcytosine sites via L2, 1/2-matrix norm. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2023, 20(1), 500-511. [16] L Wang, P Tiwari, Y Ding*, F Guo. Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis. IEEE Transactions on Artificial Intelligence, 2023, DOI: 10.1109/TAI.2023.3266191. [17] C Ai, P Tiwari, H Yang, Y Ding*, J Tang, F Guo*. Identification of DNA N4-methylcytosine sites via multi-view kernel sparse representation model. IEEE Transactions on Artificial Intelligence 2023, 4(5): 1236-1245. [18] Y Ding, P Tiwari, F Guo, Q Zou. Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. Neural Networks 2022, 156, 170-178.
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