| 2023 | Dual-View Self-supervised Co-training for Knowledge Graph Recommendation. | Ruoyi Zhang, Huifang Ma, Qingfeng Li, Yike Wang, Zhixin Li |
| 2023 | Hierarchical All-Pairs SimRank Calculation. | Liangfu Zhang, Cuiping Li, Xue Zhang, Hong Chen |
| 2023 | BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion. | Sensen Zhang, Xun Liang, Zhiying Li, Junlan Feng, Xiangping Zheng, Bo Wu |
| 2023 | Accelerating Exact K-Means++ Seeding Using Lower Bound Based Framework. | Haowen Zhang, Jing Li |
| 2023 | Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems. | Xiangyu Zhang, Zongqiang Kuang, Zehao Zhang, Fan Huang, Xianfeng Tan |
| 2023 | Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. | Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang |
| 2023 | Multimodal Entity Linking with Mixed Fusion Mechanism. | Gongrui Zhang, Chenghuan Jiang, Zhongheng Guan, Peng Wang |
| 2023 | SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity. | Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Jiandong Xie, Kai Zheng |
| 2023 | Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution Network. | Jinyu Zhang, Huichuan Duan, Lei Guo, Liancheng Xu, Xinhua Wang |
| 2023 | Is a Single Embedding Sufficient? Resolving Polysemy of Words from the Perspective of Markov Decision Process. | Cheng Zhang, Zhi Chen, Dongmei Yan, Jingxu Cao, Quan Zhang |
| 2023 | Modeling Intra-class and Inter-class Constraints for Out-of-Domain Detection. | Shun Zhang, Jiaqi Bai, Tongliang Li, Zhao Yan, Zhoujun Li |
| 2023 | IFGDS: An Interactive Fraud Groups Detection System for Medicare Claims Data. | Jing Yu, Zhenyang Yu, Kaiming Zhan, Fan Wu, Bo Yin, Lei Duan |
| 2023 | TUAF: Triple-Unit-Based Graph-Level Anomaly Detection with Adaptive Fusion Readout. | Zhenyang Yu, Xinye Wang, Bingzhe Zhang, Zhaohang Luo, Lei Duan |
| 2023 | Vessel Trajectory Segmentation: A Survey. | Zhipei Yu, Hanyue Wu, Zhenzhong Yin, Kezhong Liu, Rui Zhang |
| 2023 | Attentive Hawkes Process Application for Sequential Recommendation. | Shuodian Yu, Li Ma, Xiaofeng Gao, Jianxiong Guo, Guihai Chen |
| 2023 | Block Decomposition with Multi-granularity Embedding for Temporal Knowledge Graph Completion. | Lupeng Yue, Yongjian Ren, Yan Zeng, Jilin Zhang, Kaisheng Zeng, Jian Wan |
| 2023 | Deep User and Item Inter-matching Network for CTR Prediction. | Zhiyang Yuan, Yingyuan Xiao, Peilin Yang, Qingbo Hao, Hongya Wang |
| 2023 | Towards Time-Series Key Points Detection Through Self-supervised Learning and Probability Compensation. | Mingxu Yuan, Xin Bi, Xuechun Huang, Wei Zhang, Lei Hu, George Y. Yuan, Xiangguo Zhao, Yongjiao Sun |
| 2023 | TETA: Text-Enhanced Tabular Data Annotation with Multi-task Graph Convolutional Network. | Chen Ye, Haoshi Zhi, Shihao Jiang, Hua Zhang, Yifan Wu, Guojun Dai |
| 2023 | Robust Clustered Federated Learning. | Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao |
| 2023 | A Raft Variant for Permissioned Blockchain. | Zheming Ye, Xing Tong, Wei Fan, Zhao Zhang, Cheqing Jin |
| 2023 | GP-HLS: Gaussian Process-Based Unsupervised High-Level Semantics Representation Learning of Multivariate Time Series. | Chengyang Ye, Qiang Ma |
| 2023 | CnosDB: A Flexible Distributed Time-Series Database for Large-Scale Data. | Yu Yan, Bo Zheng, Hongzhi Wang, Jinkai Zhang, Yutong Wang |
| 2023 | Towards Defending Against Byzantine LDP Amplified Gain Attacks. | Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang |
| 2023 | Thompson Sampling with Time-Varying Reward for Contextual Bandits. | Cairong Yan, Hualu Xu, Haixia Han, Yanting Zhang, Zijian Wang |