| 2023 | Univariate Time Series Forecasting via Interactive Learning. | Yu Li, Haonan Li, Peng Wang, Xu Cui, Zhenguo Zhang |
| 2023 | Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation. | Xiaohong Li, Ruihong Li, Qixuan Peng, Huifang Ma |
| 2023 | Learning-Based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy. | Ding Li, Wenzhong Li, Yizhou Chen, Xu Zhong, Mingkai Lin, Sanglu Lu |
| 2023 | An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. | Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto |
| 2023 | Reducing the Teacher-Student Gap via Elastic Student. | Haorong Li, Zihao Chen, Jingtao Zhou, Shuangyin Li |
| 2023 | Fusion High-Order Information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection. | Ying Li, Guohua Chen, Yong Tang, Nini Zhang |
| 2023 | Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion. | Yi Liang, Shuai Zhao, Bo Cheng, Hao Yang |
| 2023 | EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification. | Jiuqiang Li |
| 2023 | MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs. | Ziyan Ke, Lingxi Peng, Yiduan Chen, Jie Liu, Xuebing Luo, Jinhui Lin, Zhiwen Yu |
| 2023 | Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. | Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang |
| 2023 | FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-Based Android Malware Classification System. | Changnan Jiang, Chunhe Xia, Zhuodong Liu, Tianbo Wang |
| 2023 | Low Redundancy Learning for Unsupervised Multi-view Feature Selection. | Hong Jia, Jian Huang |
| 2023 | Subspace Clustering with Feature Grouping for Categorical Data. | Hong Jia, Menghan Dong |
| 2023 | Learning Graph Neural Networks on Feature-Missing Graphs. | Jun Hu, Jinyan Wang, Quanmin Wei, Du Kai, Xianxian Li |
| 2023 | CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-Start Problem of Recommendation. | Haonan Hu, Dazhong Rong, Jianhai Chen, Qinming He, Zhenguang Liu |
| 2023 | Boosting LightWeight Depth Estimation via Knowledge Distillation. | Junjie Hu, Chenyou Fan, Hualie Jiang, Xiyue Guo, Yuan Gao, Xiangyong Lu, Tin Lun Lam |
| 2023 | MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification. | Chengcheng Huang, Shiqun Yin, Lei Li, Yaling Zhang |
| 2023 | HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning. | Li Huang, Kai Liu, Chaoran Liu, Qiang Gao, Xiao Zhou, Guisong Liu |
| 2023 | Multi-level and Multi-interest User Interest Modeling for News Recommendation. | Yun Hou, Yuanxin Ouyang, Zhuang Liu, Fujing Han, Wenge Rong, Zhang Xiong |
| 2023 | An Efficient One-Shot Network and Robust Data Associations in Multi-pedestrian Tracking. | Fuxiao He, Guoqiang Xiao |
| 2023 | ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction. | Ruozhou He, Liting Li, Bei Hua, Jianjun Tong, Chang Tan |
| 2023 | Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. | Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong |
| 2023 | Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties. | Yadan Han, Guangquan Lu, Jiecheng Li, Fuqing Ling, Wanxi Chen, Liang Zhang |
| 2023 | Graph Neural Network with Neighborhood Reconnection. | Mengying Guo, Zhenyu Sun, Yuyi Wang, Xingwu Liu |
| 2023 | Implicit Offensive Speech Detection Based on Multi-feature Fusion. | Tengda Guo, Lianxin Lin, Hang Liu, Chengping Zheng, Zhijian Tu, Haizhou Wang |