| 2023 | An Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection. | Haijia Bao, Yu Du, Ya Li |
| 2023 | A Session Recommendation Model Based on Heterogeneous Graph Neural Network. | Zhiwei An, Yirui Tan, Jinli Zhang, Zongli Jiang, Chen Li |
| 2022 | A BERT-Based Two-Stage Ranking Method for Legal Case Retrieval. | Junlin Zhu, Xudong Luo, Jiaye Wu |
| 2022 | Implementing Large-Scale ABox Materialization Using Subgraph Reasoning. | Xixi Zhu, Bin Lin, Zhaoyun Ding, Li Yao, Cheng Zhu |
| 2022 | A Spatial Interpolation Using Clustering Adaptive Inverse Distance Weighting Algorithm with Linear Regression. | Liang Zhu, Gengchen Hou, Xin Song, Yonggang Wei, Yu Wang |
| 2022 | Multi-modal Face Anti-spoofing Using Channel Cross Fusion Network and Global Depth-Wise Convolution. | Qian Zhou, Ming Yang, Shidong Chen, Mengfan Tang, Xingbin Wang |
| 2022 | A Fine-Grained Approach for Vulnerabilities Discovery Using Augmented Vulnerability Signatures. | Xiaoxiao Zhou, Weina Niu, Xiaosong Zhang, Ruidong Chen, Yan Wang |
| 2022 | Edge-Shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule. | Yawei Zhao, Yangyuanxiang Xu, Zhiwei Wang |
| 2022 | Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization. | Songwei Zhao, Jiuman Song, Xinqi Du, Tianyi Liu, Huiling Chen, Hechang Chen |
| 2022 | Deep Neural Factorization Machine for Recommender System. | Ronghua Zhang, Zhenlong Zhu, Changzheng Liu, Yuhua Li, Ruixuan Li |
| 2022 | Dual Adversarial Federated Learning on Non-IID Data. | Tao Zhang, Shaojing Yang, Anxiao Song, Guangxia Li, Xuewen Dong |
| 2022 | Mitigating Targeted Bit-Flip Attacks via Data Augmentation: An Empirical Study. | Ziyuan Zhang, Meiqi Wang, Wencheng Chen, Han Qiu, Meikang Qiu |
| 2022 | Privacy-Preserving Deep Learning in Internet of Healthcare Things with Blockchain-Based Incentive. | Wenyuan Zhang, Peng Li, Guangjun Wu, Jun Li |
| 2022 | A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks. | Yu Zhang, Yimeng Li, Chaomurilige, Yu Weng |
| 2022 | A Rating Prediction Model Based on Knowledge Modeling. | Maoyu Zhang, Haiming Li |
| 2022 | Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training. | Shudong Zhang, Haichang Gao, Yunyi Zhou, Zihui Wu, Yiwen Tang |
| 2022 | MCSN: Multi-graph Collaborative Semantic Network for Chinese NER. | Yingqi Zhang, Wenjing Gu, Wenjun Ma, Yuncheng Jiang |
| 2022 | A New K-Multiple-Means Clustering Method. | Jingyuan Zhang |
| 2022 | Construction Research and Applications of Industry Chain Knowledge Graphs. | Boyao Zhang, Zijian Wang, Haikuo Zhang, Yonghua Zhao, Jingqi Sun, Jing Wang |
| 2022 | Document-Level Multi-event Extraction via Event Ontology Guiding. | Xingsheng Zhang, Yue Hu, Yajing Sun, Luxi Xing, Yuqiang Xie, Yunpeng Li, Wei Peng |
| 2022 | System Level Recommender System for Academic Venue Personalization: Multi vs. Linked Domain. | Abir Zawali, Imen Boukhris |
| 2022 | Knowledge Graph Embedding with Direct and Disentangled Neighborhood Representation Attention Network. | Ruiguo Yu, Siyao Gao, Jian Yu, Mankun Zhao, Tianyi Xu, Jie Gao, Hongwei Liu, Xuewei Li |
| 2022 | Topic and Reference Guided Keyphrase Generation from Social Media. | Xiubin Yu, Xingjun Chen, Zhen Huang, Yong Dou, Biao Hu |
| 2022 | MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation. | Yuan Yuan, Yan Tang, Luomin Du, Yingpei Chen |
| 2022 | A Decoupled YOLOv5 with Deformable Convolution and Multi-scale Attention. | Gui Yuan, Gang Liu, Jian Chen |