| 2023 | Multi-scale Community Detection in Subspace of Attribute. | Cairui Yan, Huifang Ma, Yuechen Tang, Xiaohong Li, Zhixin Li |
| 2023 | Orthrus: A Dual-Branch Model for Time Series Forecasting with Multiple Exogenous Series. | Ziang Yang, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu |
| 2023 | TrajTrace: Tracing Moving Objects over Social Media. | Zhihao Yang, Yunqi Zhang, Songda Li, Qinhui Chen, Hui Zhao, Wei Cai, Xi Lin |
| 2023 | Subgraph Reconstruction via Reversible Subgraph Embedding. | Boyu Yang, Weiguo Zheng |
| 2023 | HanoiT: Enhancing Context-aware Translation via Selective Context. | Jian Yang, Yuwei Yin, Shuming Ma, Liqun Yang, Hongcheng Guo, Haoyang Huang, Dongdong Zhang, Yutao Zeng, Zhoujun Li, Furu Wei |
| 2023 | Fine-Grained Tuple Transfer for Pipelined Query Execution on CPU-GPU Coprocessor. | Zhenhua Yang, Qingfeng Pan, Chen Xu |
| 2023 | Local Spectral for Polarized Communities Search in Attributed Signed Network. | Fanyi Yang, Huifang Ma, Wentao Wang, Zhixin Li, Liang Chang |
| 2023 | Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation. | Tianchi Yang, Haihan Gao, Cheng Yang, Chuan Shi, Qianlong Xie, Xingxing Wang, Dong Wang |
| 2023 | TieComm: Learning a Hierarchical Communication Topology Based on Tie Theory. | Ming Yang, Renzhi Dong, Yiming Wang, Furui Liu, Yali Du, Mingliang Zhou, Leong Hou U |
| 2023 | MACRE: Multi-hop Question Answering via Contrastive Relation Embedding. | Man Xu, Weiguo Zheng, Deqing Yang |
| 2023 | C | Fuyong Xu, Zhenfang Zhu, Peiyu Liu, Ru Wang |
| 2023 | ALGCN: Accelerated Light Graph Convolution Network for Recommendation. | Ronghai Xu, Haijun Zhao, Zhi-Yuan Li, Chang-Dong Wang |
| 2023 | Semi-supervised Learning for Fine-Grained Entity Typing with Mixed Label Smoothing and Pseudo Labeling. | Bo Xu, Zhengqi Zhang, Ming Du, Hongya Wang, Hui Song, Yanghua Xiao |
| 2023 | HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems. | Anran Xu, Shuo Yang, Shuai Li, Zhenzhe Zheng, LingLing Yao, Fan Wu, Guihai Chen, Jie Jiang |
| 2023 | GRMI: Graph Representation Learning of Multimodal Data with Incompleteness. | Xian Xu, Xiao Xu, Xiang Li, Guotong Xie |
| 2023 | Predicting Where You Visit in a Surrounding City: A Mobility Knowledge Transfer Framework Based on Cross-City Travelers. | Shuai Xu, Jianqiu Xu, Bohan Li, Xiaoming Fu |
| 2023 | A Two-Stage Label Rectification Framework for Noisy Event Extraction. | Zijie Xu, Peng Wang, Ziyu Shang, Jiajun Liu |
| 2023 | Learning Semantic-Rich Relation-Selective Entity Representation for Knowledge Graph Completion. | Zenan Xu, Zexuan Qiu, Qinliang Su |
| 2023 | A Unified Visual Prompt Tuning Framework with Mixture-of-Experts for Multimodal Information Extraction. | Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song, Yanghua Xiao, Xin Lin |
| 2023 | DiCausal: Exploiting Domain Knowledge for Interactive Causal Discovery. | Wenbo Xu, Yueguo Chen, Shengwei Huang, Xiongpai Qin, Li Chong |
| 2023 | Improving Cross-Domain Named Entity Recognition from the Perspective of Representation. | Jingyun Xu, Yi Cai |
| 2023 | Temporal-Aware Multi-behavior Contrastive Recommendation. | Hongrui Xuan, Bohan Li |
| 2023 | Self-Training with Label-Feature-Consistency for Domain Adaptation. | Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang |
| 2023 | Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies. | Feng Xie, Zhong Zhang, Xuechen Zhao, Haiyang Wang, Jiaying Zou, Lei Tian, Bin Zhou, Yusong Tan |
| 2023 | Multi-granularity Item-Based Contrastive Recommendation. | Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin |