| 2023 | Graph Fusion Multimodal Named Entity Recognition Based on Auxiliary Relation Enhancement. | Guohui Ding, Wenjing Tang, Zhaoyi Yuan, Lulu Sun, Chunlong Fan |
| 2023 | Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy. | Shilong Deng, Zetao Zheng, Hongcai He, Jie Shao |
| 2023 | Multidimensional Adaptative kNN over Tracking Outliers (Makoto). | Jessy Colonval, Fabrice Bouquet |
| 2023 | STAD: Multivariate Time Series Anomaly Detection Based on Spatio-Temporal Relationship. | Keyu Chen, Guoping Zhao, Zhenfeng Yao, Zhihong Zhang |
| 2023 | Fine-Grained Knowledge Enhancement for Empathetic Dialogue Generation. | Ai Chen, Jiang Zhong, Qizhu Dai, Chen Wang, Rongzhen Li |
| 2023 | An Adaptive Data-Driven Imputation Model for Incomplete Event Series. | Jiadong Chen, Hengyu Ye, Xiaofeng Gao, Fan Wu, Linghe Kong, Guihai Chen |
| 2023 | Separate-and-Aggregate: A Transformer-Based Patch Refinement Model for Knowledge Graph Completion. | Chen Chen, Yufei Wang, Yang Zhang, Quan Z. Sheng, Kwok-Yan Lam |
| 2023 | TSCMR:Two-Stage Cross-Modal Retrieval. | Zhihao Chen, Hongya Wang |
| 2023 | MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. | Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu |
| 2023 | Joint Embedding of Local Structures and Evolutionary Patterns for Temporal Link Prediction. | Tingxuan Chen, Jun Long, Liu Yang, Guohui Li, Shuai Luo, Meihong Xiao |
| 2023 | Discovering Skyline Periodic Itemset Patterns in Transaction Sequences. | Guisheng Chen, Zhanshan Li |
| 2023 | SUMOPE: Enhanced Hierarchical Summarization Model for Long Texts. | Chao Chang, Junming Zhou, Xiangwei Zeng, Yong Tang |
| 2023 | NFAQP: Normalizing Flow Based Approximate Query Processing. | Libin Cen, Jingdong Li, Wenjing Yue, Xiaoling Wang |
| 2023 | AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining. | Lang Cao |
| 2023 | A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems. | Hongyun Cai, Shiyun Wang, Yu Zhang, Meiling Zhang, Ao Zhao |
| 2023 | Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning. | Saugata Bose, Guoxin Su, Li Liu |
| 2023 | A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs. | David Ben-Tovim, Mariusz Bajger, Shaowen Qin |
| 2023 | Approximate Continuous k Representative Skyline Queries over Memory Limitation-Based Streaming Data. | Yunzhe An, Zhu Zhen, Shuangshuang Zhang, Rui Zhu, Chuanyu Zong |
| 2023 | Searching User Community and Attribute Location Cluster in Location-Based Social Networks. | Yunzhe An, Chuanyu Zong, Ruozhu Li, Tao Qiu, Anzhen Zhang, Rui Zhu |
| 2023 | A Preference-Based Indicator Selection Hyper-Heuristic for Optimization Problems. | Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Xuyun Zhang |
| 2023 | A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity. | Adnan Ahmad, Wei Luo, Antonio Robles-Kelly |
| 2023 | Exploration of Stochastic Selection of Splitting Attributes as a Source of Inducing Diversity. | Md. Nasim Adnan |
| 2022 | A Boosting Algorithm for Training from Only Unlabeled Data. | Yawen Zhao, Lin Yue, Miao Xu |
| 2022 | Android Malware Detection Based on Stacking and Multi-feature Fusion. | Qin Zhaowei, Xie Nannan, Asiedu Collins Gyamfi |
| 2022 | ESTD: Empathy Style Transformer with Discriminative Mechanism. | Mingzhe Zhang, Lin Yue, Miao Xu |