| 2023 | CARPG: Cross-City Knowledge Transfer for Traffic Accident Prediction via Attentive Region-Level Parameter Generation. | Guang Yang, Yuequn Zhang, Jinquan Hang, Xinyue Feng, Zejun Xie, Desheng Zhang, Yu Yang |
| 2023 | Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. | Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin |
| 2023 | Multimodal Optimal Transport Knowledge Distillation for Cross-domain Recommendation. | Wei Yang, Jie Yang, Yuan Liu |
| 2023 | Logistics Audience Expansion via Temporal Knowledge Graph. | Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang |
| 2023 | Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction. | Hao Yang, Ziliang Wang, Weijie Bian, Yifan Zeng |
| 2023 | Co-guided Random Walk for Polarized Communities Search. | Fanyi Yang, Huifang Ma, Cairui Yan, Zhixin Li, Liang Chang |
| 2023 | Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2023 | Graph-based Alignment and Uniformity for Recommendation. | Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu |
| 2023 | Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. | Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu |
| 2023 | MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction. | Jie Yang, Soyeon Caren Han, Siqu Long, Josiah Poon, Goran Nenadic |
| 2023 | MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling. | Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. | Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong |
| 2023 | Time-series Shapelets with Learnable Lengths. | Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima |
| 2023 | Minimizing Polarization in Noisy Leader-Follower Opinion Dynamics. | Wanyue Xu, Zhongzhi Zhang |
| 2023 | MDCC: A Multimodal Dynamic Dataset for Donation-based Crowdfunding Campaigns. | Xovee Xu, Jiayang Li, Fan Zhou |
| 2023 | Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. | Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang |
| 2023 | A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. | Jian Xu, Shao-Lun Huang |
| 2023 | DPGN: Denoising Periodic Graph Network for Life Service Recommendation. | Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang |
| 2023 | An Efficient Selective Ensemble Learning with Rejection Approach for Classification. | Hao Xu, Chiranjeet Chetia |
| 2023 | Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning. | Mingkun Xu |
| 2023 | Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation. | Jingwen Xu, Fei Lyu, Pong C. Yuen |
| 2023 | Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. | Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez |
| 2023 | G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. | Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou |
| 2023 | HiPo: Detecting Fake News via Historical and Multi-Modal Analyses of Social Media Posts. | Tianshu Xiao, Sichang Guo, Jingcheng Huang, Riccardo Spolaor, Xiuzhen Cheng |
| 2023 | SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily. | Bin Wu, Xinyu Yao, Boyan Zhang, Kuo-Ming Chao, Yinsheng Li |