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2. Haojie Li, Guanfeng Liu, Qiang Hu, Yan Wang, Dunwei Gong, Junwei Du*, Candidate-aware graph prompt-tuning for recommendation, Pattern Recognition,2025,167(11), https://doi.org/10.1016/j.patcog.2025.111733.（中科院一区）

3. Junwei Du, Yaoze Liu, Haojie Li, Xu Yu, Zhuo Chen, Feng Jiang. Multi-view constraint disentangled GAT for recommendation, Neurocomputing, 2025，640, https://doi.org/10.1016/j.neucom.2025.130317.（中科院二区，Top）

4. Minying Fang, Xing Yang, Yuying Li*,Haojie Li, Chunrong Fang, Junwei Du*. Enhanced Prompting Framework for Code Summarization with Large Language Models, 2025 ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 已录用（CCF推荐国际A类会议）

5. Feng Jiang, Qiang Hu, Zhiyong Yang, Jinhuan Liu, Junwei Du*, A neighborhood rough sets-based ensemble method, with application to software fault prediction,Expert Systems with Applications,2025(264),3,https://doi.org/10.1016/j.eswa.2024.125919 （中科院一区）

6. Wei Wei, Haojie Li, Xinshuang Ren, Feng Jiang, Xu Yu, Xingyu Gao, Junwei Du*, Improving bug triage with the bug personalized tossing relationship,Information and Software Technology,Volume 179,2025,107642,ISSN 0950-5849, https://doi.org/10.1016/j.infsof.2024.107642.（中科院二区）

7. Haojie Li, Wei Wei, Jianfei Sui, Guanfeng Liu, Yuying Li, Yang Feng, Junwei Du,A joint optimization approach for bug triage leveraging individual ability and collective responsibility of developers,Information and Software Technology,Volume 187,2025, https://doi.org/10.1016/j.infsof.2025.107833. （中科院二区）

8. X. Yu, Y. Lu, F. Jiang, Q. Hu, J. Du* and D. Gong*, A Cross-Domain Intrusion Detection Method Based on Nonlinear Augmented Explicit Features, IEEE Transactions on Network and Service Management, 2024-08-16，doi: 10.1109/TNSM.2024.3444909. （中科院二区）

9. Haojie Li, Zhiyong Cheng, Xu Yu, Jinhuan Liu, Guanfeng Liu, and Junwei Du*. 2024. Behavior Pattern Mining-based Multi-Behavior Recommendation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24). Association for Computing Machinery, New York, NY, USA, 2291–2295. https://doi.org/10.1145/3626772.3657973，2024-7-11（CCF推荐国际A类会议）

10. Haojie Li,Wei Wei,Guanfeng Liu,Jinhuan Liu,Feng Jiang,Junwei Du*, Intent Distribution based Bipartite Graph Representation Learning,July 2024 SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , New York, NY, USA, 1649–1658. https://doi.org/10.1145/3626772.3657739（CCF推荐国际A类会议）

11. X. Yu,Qinglong Peng, Hongwu Lv*, Dingjia Zhan, Qiang Hu, Junwei Du*.A Privacy-Preserving Cross-Domain Recommendation Algorithm for Industrial IoT Devices, IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2023.3324968 (中科院二区）

12. Feng Jiang, Xu Yu, Dunwei Gong, Junwei Du*. A random approximate reduct-based ensemble learning approach and its application in software defect prediction, Information Sciences,Volume 2022,609(9),1147-1168,(中科院一区）

13. Feng Jiang, Xu Yu, Junwei Du*,etc al.,Ensemble learning based on approximate reducts and bootstrap sampling.Information Sciences.2021,547(2) 797–813 (中科院一区）

14. Jiang, F., Yu, X., Zhao, H., Gong D., Du J*. Ensemble learning based on random super-reduct and resampling，Artificial Intelligence Review 2021,54(10) 3115–3140 (中科院一区）

15. Junwei Du, Guanghui Jing, Qiang Hu*, A weight optimization method for chemical safety evaluation indicators based on the bipartite graph and random walk, Journal of Computational Design and Engineering, 2022，9(4):1214–1229(中科院二区）

16. Xu Yu, Yadong He, Biao Xu, Junwei Du*, Feng Jiang*. An FM Developer Recommendation Algorithm by Considering Explicit Information and ID Information. ICWS 2020: 49-60（CCF B 服务计算旗舰会议）

17. Junwei Du, Hanrui Zhao, Yangyang Yu, and Qiang Hu*. A Method to Extract Causality for Safety Events in Chemical Accidents from Fault Trees and Accident Reports.Computational Intelligence and Neuroscience, 2020(2)1-12, Article ID 7132072,12 pages https://doi.org/10.1155/2020/7132072 SCI [JCR Q1, IF=3.633] 期刊号：1687-52652020(中科院三区）

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20. 胡强,綦浩泉,李浩杰,杜军威*.融合潜在联合词与异质关联兼容的Web API推荐[J/OL].软件学报,1-25[2024-12-15].https://doi.org/10.13328/j.cnki.jos.007185.

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30. 葛艳,杜坤钰,杜军威*,陈卓.基于混合神经网络的实体关系抽取方法研究[J].中文信息学报,2021,35(10):81-89.

31. Sun Yukang, Zhang  Shujun*, Li Jinsong, Han Qi, Qin Yuhua, CAISeg: A Clustering-Aided Interactive Network for Lesion Segmentation in 3D Medical Imaging, IEEE Journal of Biomedical and Health Informatics, 2025, 29(1): 371-382（SCI一区）

32. Sheng Ren, Xingyu Liao, Farong Liu, Jie Li, Xin Gao*, Bin Yu*. Exploring the latent information in spatial transcriptomics data via multi-view graph convolutional network based on implicit contrastive learning. Advanced Science, 2025, 12(21): 2413545. (JCR 1区 TOP IF=14.3)

33. 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 Transactions on Neural Networks and Learning Systems, 2025, 36(4): 7681-7695. (JCR 1区TOP IF=10.2 CCF B)

34. 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 Recognition, 2025, 161: 111279. (JCR 1区 TOP IF=7.5 CCF B)

35. Xinyue Wang, Long Liu, Zhuo Chen, Haiyan Wang*, Bin Yu*. Graph convolutional network based on self-attention variational autoencoder and capsule contrastive learning for aspect-based sentiment analysis. Expert Systems with Applications, 2025, 279: 127172. (JCR 1区 TOP IF=7.5 CCF C)

36. 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. Knowledge-Based Systems, 2025, 320: 113699. (JCR 1区 TOP IF=7.2 CCF C)

37. Xingyu Liao*, Yanyan Li, Shuangyi Li, Long Wen, Xingyi Li*, Bin Yu*. Enhanced integration of single-cell multi-omics data using graph attention networks. ACS Synthetic Biology, 2025, 14: 931-942. (JCR 1区 IF=3.8)

38. MCCA-MOT: Multimodal Collaboration-Guided Cascade Association Network for 3D Multi-Object Tracking [J]. IEEE Transactions on Intelligent Transportation Systems. 2025: 26(1): 974-989.

39. Trajectory Prediction Based on Grouped Spatial-temporal Encoder. Frontiers of Computer Science. 2025, 19(1911373).

40. Group Commonality Graph: Multimodal Pedestrian Trajectory Prediction via Deep Group Features. Pattern Recognition Letters, 2025, 192, 36-42.

41. Li X , Bian T , Yang J , Liang Hongtao*. Multi-stage federated learning with group-wise bidirectional guidance[J].Journal of Supercomputing, 2025, 81(10).（中科院SCI二区）

42. Zhang  Shujun*, Han Qi, Li Jinsong, Sun Yukang, Qin, Yuhua, A Medical Report Generation Method Integrating Teacher-Student Model And Encoder-Decoder Network, Biomedical Signal Processing And Control, 2024, 94: 106251（SCI二区）

43. Yang Qian, Zhang  Shujun*, Li Jinsong, Sun Yukang, Han Qi, Sun Yuanyuan, Hyperboloid-Embedded Siamese Network for Change Detection in Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 9240-9252（SCI二区Top）

44. Jinsong Li, Shujun Zhang*, Yukang Sun, Qi Han, Yuanyuan Sun, YiminWan, Frequency-Driven Edge Guidance Network for Semantic Segmentation of Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing，2024，17: 9677-9693（SCI二区Top）

45. Dianlong An, Panpan Liu, Yan Feng, Pengju Ding, Weifeng Zhou, Bin Yu*. Dynamic weighted knowledge distillation for brain tumor segmentation. Pattern Recognition, 2024, 155: 110731. (JCR 1区 TOP IF=7.5 CCF B)

46. Xinyu Zhang#, Yifei Wang#, Qinqin Wei, Shiyue He, Adil Salhi, Bin Yu*. DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network. Knowledge-Based Systems, 2024, 285: 111354. (JCR 1区 TOP IF=8.8 CCF C)

47. Yan Feng, Yuan Cao, Dianlong An, Panpan Liu, Xingyu Liao*, Bin Yu*. DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation. Knowledge-Based Systems, 2024, 285: 111348. (JCR 1区 TOP IF=8.8 CCF C)

48. Haojie Lian, Pengju Ding, Chao Yu, Xinyu Zhang, Guozhu Liu, Bin Yu*. A weighted integration method based on graph representation learning for drug repositioning. Applied Soft Computing, 2024, 161: 111763. (JCR 1区 TOP IF=7.2)

49. 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. Computers in Biology and Medicine, 2024, 170: 107944. (JCR 1区 TOP IF=7.7)

50. Multimodal 3D Object Detection Based on Sparse Interaction in Internet of Vehicles [J]. IEEE Transactions on Vehicular Technology. 2024: 74(2): 2174-2186.

51. Secrecy Performance Intelligent Prediction for Mobile Vehicular Networks: An DI-CNN Approach. IEEE Transactions on Intelligent Transportation Systems. 2024: 1-12.

52. Deep Learning-based 3D Multi-Object Tracking Using Multimodal Fusion in Smart Cities. Human-centric Computing and Information Sciences. 2024, 14:1-18.

53. Sun Z, Zhu L, Qin S, Yu Y, Ju R, Li Q. Road Surface Defect Detection Algorithm Based on YOLOv8. Electronics. 2024; 13(12):2413. SCI收录

54. Shao G, Lin F, Li C, Shao W, Chai W, Xu X, Zhang M, Sun Z, Li Q. Multi-Sensor-Assisted Low-Cost Indoor Non-Visual Semantic Map Construction and Localization for Modern Vehicles. Sensors. 2024; 24(13):4263. SCI收录

55. Qi Guo, Shujun  Zhang*, Liwei Tan, Ke Fang, Yinghao Du, Interactive Attention and Improved GCN for Continuous Sign Language Recognition, Biomedical Signal Processing and Control, 2023, 85: 104931（SCI二区）

56. Yifei Wang#, Xue Wang#, Cheng Chen, Hongli Gao, Adil Salhi, Xin Gao, Bin Yu*. RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network. Pattern Recognition, 2023, 141: 109626. (JCR 1区 TOP IF=8.518 CCF B)

57. 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 in Bioinformatics, 2023, 24(4): bbad231. (JCR 1区 TOP IF=13.994 CCF B)

58. Mingxiang Zhang, Hongli Gao, Xin Liao, Baoxing Ning, Haiming Gu*, Bin Yu*. DBGRU-SE: Predicting drug-drug interactions based on double BiGRU and squeeze-and-excitation attention mechanism. Briefings in Bioinformatics, 24(4): bbad184. (JCR 1区 TOP IF=13.994 CCF B)

59. Hongli Gao#, Bin Zhang#, Long Liu, Shan Li, Xin Gao*, Bin Yu*. A universal framework for single-cell multi-omics data integration with graph convolutional networks. Briefings in Bioinformatics, 2023, 24(3): bbad081. (JCR 1区TOP IF=13.994 CCF B)

60. 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 in Bioinformatics, 2023, 24(2): bbad036. (JCR 1区 TOP IF=13.994 CCF B)

61. Hongli Gao#, Cheng Chen#, Shuangyi Li, Congjing Wang, Weifeng Zhou, Bin Yu*. Prediction of protein-protein interactions based on ensemble residual convolutional neural network. Computers in Biology and Medicine, 2023, 152: 106471. (JCR 1区 IF=6.698)

62. Tingting Zhang, Jihua Jia, Cheng Chen, Yaqun Zhang*, Bin Yu*. BiGRUD-SA: Protein S-sulfenylation sites prediction based on BiGRU and self-attention. Computers in Biology and Medicine, 2023, 163: 107145. (SCI, 1区 IF=6.698)

63. Minghui Wang, Lu Yan, Jihua Jia, Jiali Lai, Hongyan Zhou*, Bin Yu*. DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism. Computers in Biology and Medicine, 2023, 160: 106935. (JCR 1区 IF=6.698)

64. Xiaolin Wang#, Hongli Gao#, Ren Qi, Ruiqing Zheng, Xin Gao*, Bin Yu*. scBKAP: a clustering model for single-cell RNA-Seq data based on bisecting K-means. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, 20(3): 2007- 2015. (JCR 1区 IF=3.702 CCF B)

65. Multi-object Tracking via Discriminative Embeddings for the Internet of Things. IEEE Internet of Things Journal. 2023, 10(12): 10532-10546.

66. Multi-object Tracking via Deep Feature Fusion and Association Analysis. Engineering Applications of Artificial Intelligence. 2023, 124: 1-19.

67. Kong Lingchao, Liang Hongtao*, Liu Guozhu, Liu, Shuo. Research on Wind Turbine Fault Detection Based on the Fusion of ASL-CatBoost and TtRSA[J]. SENSORS,2023,23(15).（中科院SCI二区）

68. Yu X, Peng, Qinglong, Jiang Feng, Du Junwei, Liang Hongtao, Liu Jinhuan, Multi-Head Attention and Knowledge Graph Based Dual Target Graph Collaborative Filtering Network[J]. NEURAL PROCESSING LETTERS, 2023,55(7).（中科院SCI二区）

69. Qi Guo, Shujun Zhang*, Hui Li, Continuous Sign Language Recognition Based on Spatial-Temporal Graph Attention Network, CMES-Computer Modeling in Engineering & Sciences, 2022,134 (3): 1653-1670（SCI）

70. Yushuang Liu, Shuping Jin, Hongli Gao, Xue Wang, Congjing Wang, Weifeng Zhou, Bin Yu*. Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier. Bioinformatics, 2022, 38(5): 1223-1230 (JCR 1区 TOP IF=6.931 CCF B)

71. Qinqin Wei#, Qingmei Zhang#, Hongli Gao, Tao Song, Adil Salhi, Bin Yu*. DEEPStack-RBP: Accurate identification of RNA-binding proteins based on autoencoder feature selection and deep stacking ensemble classifier. Knowledge-Based Systems, 2022, 256: 109875. (JCR 1区 TOP IF=8.139 CCF C)

72. Minghui Wang#, Lili Song#, Yaqun Zhang, Hongli Gao, Lu Yan, Bin Yu*. Malsite-Deep：Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy. Knowledge-Based Systems, 2022, 240: 108191 (JCR 1区 TOP IF=8.139 CCF C)

73. Bin Yu*, Xue Wang, Yaqun Zhang, Hongli Gao, Yifei Wang, Yushuang Liu, Xin Gao*. RPI-MDLStack: Predicting RNA-protein interactions through deep learning with stacking strategy and LASSO. Applied Soft Computing, 2022, 120: 108676 (JCR 1区 TOP IF=8.263)

74. GSTA: Pedestrian Trajectory Prediction Based on Global Spatio-Temporal Association of Graph Attention Network. Pattern Recognition Letters. 2022, 160: 90-97.

75. Zhongying Zhao, Zhan Yang, Chao Li, Qingtian Zeng, Weili Guan, Mengchu Zhou. Dual Feature Interaction-based Graph Convolution Networks. IEEE Transactions on Knowledge and Data Engineering , 2022, DOI: 10.1109/TKDE.2022.3220789. (CCF A类，领域顶级期刊，IF=9.235)

76. Guowei Yue，Rui Xiao，Zhongying Zhao，Chao Li. AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation,  IEEE Transactions on Big Data , 2022, DOI: 10.1109/TBDATA.2022.3192598. (SCI二区，IF=4.271）

77. Maoguo Gong, Hui Zhou, A.K.Qin, Wenfeng Liu, Zhongying Zhao. Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification,  IEEE Transactions on Neural Networks and Learning Systems , 2022, DOI: 10.1109/TNNLS.2022.3157688.（SCI一区，IF=14.904）

78. Lina Gao, Zhongying Zhao, Chao Li, Jianli Zhao, Qingtian Zeng. Deep Cognitive Diagnosis Model for Predicting Students' Performance,  Future Generation Computer Systems , 2022, 126, 252-262. (SCI一区, IF=7.307)

79. Xianpeng Wang, Xinglu Ma, Xiaoxu Li, Xiaoyu Ma, Chunxu Li, Target-biased informed trees: sampling-based method for optimal motion planning in complex environments, Journal of Computational Design and Engineering, 2022, 9(2): 755–771

80. Li, Chunxu, Xiaoyu Chen, Xinglu Ma*, Hao Sun, and Bin Wang. 2022.10. "Skill Acquisition and Controller Design of Desktop Robot Manipulator Based on Audio–Visual Information Fusion" Machines 10, no. 9: 772.

81. Zhang M, Liu H, Guan Y, Li Q, Sun Z. Misalignment Angle Calibration of Semi-Active Laser Seeker Based on Locally Weighted Scatterplot Smoothing and Interpolation Method [J]. Measurement, 2022, 205: 112182. SCI收录

82. Yuan, D.; Li, Q.; Yang, X.; Zhang, M.; Sun, Z*. Object-Aware Adaptive Convolution Kernel Attention Mechanism in Siamese Network for Visual Tracking[J]. Applied Sciences 2022, 12, 716. SCI收录

83. Shujun Zhang*, Shuhao Xu, Liwei Tan, Hongyan Wang, Jianli Meng, Stroke Lesion Detection and Analysis in MRI Images Based on Deep Learning, Journal of Healthcare Engineering, vol(2021), pp:1-9（SCI）

84. Shujun Zhang, Qun Zhang*, Sign Language Recognition Based on Global-Local Attention, Journal of Visual Communication and Image Representation, 2021(80): 103280（SCI）

85. Qi Zhang#, Yandan Zhang#, Shan Li, Yu Han, Shuping Jin, Haiming Gu, Bin Yu*. Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier. Briefings in Bioinformatics, 2021, 22(5): bbab012. (JCR 1区 TOP IF=11.622 CCF B)

86. Bin Yu*, Chen Chen, Ren Qi, Ruiqing Zheng, Patrick J. Lawrence, Xiaolin Wang, Anjun Ma, Haiming Gu. scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder. Briefings in Bioinformatics, 2021, 22(4): bbaa316. (JCR 1区 TOP IF=11.622 CCF B)

87. Bin Yu#,*, Cheng Chen#, Xiaolin Wang, Zhaomin Yu, Anjun Ma, Bingqiang Liu. Prediction of protein-protein interactions based on elastic net and deep forest. Expert Systems with Applications, 2021, 176: 114876. (JCR 1区 TOP IF=6.954 CCF C)

88. Qingmei Zhang#, Peishun Liu#, Xue Wang, Yaqun Zhang, Yu Han, Bin Yu*. StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacking ensemble classifier. Applied Soft Computing, 2021, 99: 106921. (JCR 1区 TOP IF=6.725)

89. Yan Zhang #, Yao Lu#, Wankun Chen, Yankang Chang, Haiming Gu, Bin Yu*. MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation. Applied Soft Computing, 2021, 110: 107733. (JCR 1区 TOP IF=6.725)

90. Cheng Chen#, Han Shi#, Zhiwen Jiang, Adil Salhi, Ruixin Chen, Xuefeng Cui, Bin Yu*. DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network. Computers in Biology and Medicine, 2021, 136: 104676. (JCR 1区 IF=4.589)

91. Xue Wang#, Yaqun Zhang#, Bin Yu*, Adil Salhi, Ruixin Chen, Lin Wang, Zengfeng Liu. Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis. Computers in Biology and Medicine, 2021, 134: 104516. (JCR 1区 IF=4.589)

92. Zhongying Zhao, Hui Zhou, Liang Qi, Liang Chang, Mengchu Zhou. Inductive Representation Learning via CNN for Partially-unseen Attributed Networks. IEEE Transactions on Network Science and Engineering , 2021, 8(1): 695-706. (SCI二区，IF=5.033，谷歌学术被引用19次)

93. Zhongying Zhao, Hui Zhou, Chao Li, Jie Tang, Qingtian Zeng. DeepEmLAN: Deep Embedding Learning for Attributed Networks,  Information Sciences , 2021，543:382-397. （SCI一区, IF=8.233，谷歌学术被引用24次）

94. Bin Yu*, Wenying Qiu, Cheng Chen, Anjun Ma, Jing Jiang, Hongyan Zhou, Qin Ma*. SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting. Bioinformatics, 2020, 36(4): 1074-1081. (JCR 1 区 TOP IF=6.937 CCF B)

95. Bin Yu*, Cheng Chen, Hongyan Zhou, Bingqiang Liu, Qin Ma*. GTB-PPI: predict protein–protein interactions based on L1-regularized logistic regression and gradient tree boosting. Genomics, Proteomics & Bioinformatics, 2020, 18(5): 582-592. (JCR 1区 TOP IF=7.691)

96. Zhongying Zhao, Yonghao Yang, Chao Li, Liqiang Nie. GuessUNeed: Recommending Courses via Neural Attention Network and Course Prerequisite Relation Embeddings. ACM Transactions on Multimedia Computing, Communications, and Applications , 2020, 16(4): 132:1-132:17, （SCI二区，IF=3.144，CCF-B类）

97. Zhongying Zhao, Xuejian Zhang, Hui Zhou, Chao Li, Maoguo Gong, Yongqing Wang. HetNERec: Heterogeneous Network Embedding based Recommendation,  Knowledge-Based Systems , 2020, 204: 106218， （SCI一区，IF=8.038，谷歌学术被引用45次）

98. Zhang, M.; Guan, Y.; Li, Q.; Sun, Z.; Duan, Z. Adaptive Nonlinear Control for the Stabilized Platform With Disturbance and Input Saturation. IEEE Access 2020, 8, 200774-200788. SCI收录

99. Shujun Zhang*, Weijia Meng, Hui Li, Xuehong Cui, Multimodal Spatiotemporal Networks for Sign Language Recognition, IEEE Access, 2019, vol(7): 180270-180280（SCI）

100. Xiaoying Wang#, Bin Yu#,, Anjun Ma, Cheng Chen, Bingqiang Liu, Qin Ma. Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique. Bioinformatics, 2019, 35(14): 2395-2402. (JCR 1 区 TOP IF=5.610 CCF B)

101. Jianying Lin, Hui Chen, Shan Li, Yushuang Liu, Xuan Li, Bin Yu*. Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier. Artificial Intelligence In Medicine, 2019, 98: 35-47. (JCR 1 区 IF=4.383)

102. Zhongying Zhao, Chao Li, Xuejian Zhang, Francisco Chiclana, Enrique Herrera Viedma. An Incremental Method to Detect Communities in Dynamic Evolving Social Networks.  Knowledge-Based Systems . 2019, 163: 404–415. (SCI一区, IF=5.921, 10次入选ESI高被引论文，谷歌学术被引用110次)

103. Hui Zhou, Zhongying Zhao, Chao Li, Yongquan Liang, Qingtian Zeng. Rank2vec: Learning Node Embeddings with Local Structure and Global Ranking,  Expert Systems With Applications , 2019, 136: 276–287. (SCI二区，IF= 5.452)

104. Shujun Zhang*, Wenxiao Liu, Single Image 3D Reconstruction Based on Control Point Grid, Multimedia Tools and Applications, 2018, 77(24):31875-31893（SCI，CCF C类期刊）

105. Bin Yu#,*, Shan Li#, Wenying Qiu, Minghui Wang, Junwei Du, Yusen Zhang, Xing Chen. Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction. BMC Genomics, 2018, 19: 478. (JCR 1 区 TOP IF=3.501)

106. Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang. Identifying Advisor-advisee Relationships from Co-author Networks via a Novel Deep Model.  Information Sciences . 2018, 466: 258-269.（SCI一区, IF=5.524）