| 2023 | Prototype-Augmented Contrastive Learning for Few-Shot Unsupervised Domain Adaptation. | Lu Gong, Wen Zhang, Mingkang Li, Jiali Zhang, Zili Zhang |
| 2023 | Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction. | Qiang Gao, Hongzhu Fu, Yutao Wei, Li Huang, Xingmin Liu, Guisong Liu |
| 2023 | Temporal Repetition Counting Based on Multi-stride Collaboration. | Guoxi Gan, Jia Su, Zonghui Wen, Shenmeng Zhang |
| 2023 | Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction. | Jiamei Feng, Mengchi Liu, Tingkun Nie, Caixia Zhou |
| 2023 | DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion. | Zepeng Fan, Peican Zhu, Chao Gao, Jinbang Hong, Keke Tang |
| 2023 | RTAD-TP: Real-Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two-Parameter Estimation. | Qiyun Fan, Yan Tang, Xiaoming Ding, Qianglong Huangfu, Peihao Ding |
| 2023 | Multi-level Contrastive Learning for Commonsense Question Answering. | Quntian Fang, Zhen Huang, Ziwen Zhang, Minghao Hu, Biao Hu, Ankun Wang, Dong Sheng Li |
| 2023 | Multitask-Based Cluster Transmission for Few-Shot Text Classification. | Kaifang Dong, Fuyong Xu, Baoxing Jiang, Hongye Li, Peiyu Liu |
| 2023 | Investigating the Impact of Product Contours on User Perception of Product Attributes. | Huizhen Ding, Zuyao Zhang |
| 2023 | Chinese Relation Extraction with Bi-directional Context-Based Lattice LSTM. | Chengyi Ding, Lianwei Wu, Pusheng Liu, Linyong Wang |
| 2023 | DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound. | Peihao Ding, Yan Tang, Yingpei Chen, Xiaobing Li |
| 2023 | Dual-Dimensional Refinement of Knowledge Graph Embedding Representation. | Jie Cui, Fei Pu, Bailin Yang |
| 2023 | Sampling Spatial-Temporal Attention Network for Traffic Forecasting. | Mao Chen, Yi Xu, Liangzhe Han, Leilei Sun |
| 2023 | Sparse-View CT Reconstruction via Implicit Neural Intensity Functions. | Qiang Chen, Guoqiang Xiao |
| 2023 | TGKT-Based Personalized Learning Path Recommendation with Reinforcement Learning. | Zhanxuan Chen, Zhengyang Wu, Yong Tang, Jinwei Zhou |
| 2023 | MAGNN-GC: Multi-head Attentive Graph Neural Networks with Global Context for Session-Based Recommendation. | Yingpei Chen, Yan Tang, Peihao Ding, Xiaobing Li |
| 2023 | udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge. | Nanxi Chen, Jiyan Qiu, Pengcheng Shi, Wu Yuan, Jian Zhang |
| 2023 | A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. | Jiahuan Chen, Caihong Mu, Mohammed Alloaa, Yi Liu |
| 2023 | A Legal Multi-Choice Question Answering Model Based on BERT and Attention. | Guibin Chen, Xudong Luo, Junlin Zhu |
| 2023 | Dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks. | Long Chen, Mingjian Guang, Junli Wang, Chungang Yan |
| 2023 | Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification. | Gangbin Chen, Junwei Cheng, Wanying Liang, Chaobo He, Yong Tang |
| 2023 | Explainable Multi-type Item Recommendation System Based on Knowledge Graph. | Chao Chang, Junming Zhou, Weisheng Li, Zhengyang Wu, Jing Gao, Yong Tang |
| 2023 | Multi-display Graph Attention Network for Text Classification. | Xinyue Bao, Zili Zhou, Shiliang Gao, Zhaoan Dong, Yuanyuan Lin |
| 2023 | Multi-path Based Self-adaptive Cross-lingual Summarization. | Zhongtian Bao, Jun Wang, Zhenglu Yang |
| 2023 | Live-Stream Identification Based on Reasoning Network with Core Traffic Set. | Yingshuo Bao, Shuaili Liu, Zhongfeng Qu, Lizhi Peng |