| 2023 | Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism. | Zhaohuan Wang, Yi Xu, Liangzhe Han, Tongyu Zhu, Leilei Sun |
| 2023 | Contextual Information Augmented Few-Shot Relation Extraction. | Tian Wang, Zhiguang Wang, Rongliang Wang, Dawei Li, Qiang Lu |
| 2023 | Modeling Chinese Ancient Book Catalog. | Linxu Wang, Jun Wang, Tong Wei |
| 2023 | MVARN: Multi-view Attention Relation Network for Figure Question Answering. | Yingdong Wang, Qingfeng Wu, Weiqiang Lin, Linjian Ma, Ying Li |
| 2023 | A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios. | Peng Wang, Jingju Liu, Qian Yao, Xinli Xiong |
| 2023 | Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term. | Han Wang, Youfang Lin, Sheng Han, Kai Lv |
| 2023 | Research on Remote Sensing Image Classification Based on Transfer Learning and Data Augmentation. | Liyuan Wang, Yulong Chen, Xiaoye Wang, Ruixing Wang, Hao Chen, Yinhai Zhu |
| 2023 | User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation. | Haiyang Wang, Yan Chu, Hui Ning, Zhengkui Wang, Wen Shan |
| 2023 | A Cross-Document Coreference Resolution Approach to Low-Resource Languages. | Nathanon Theptakob, Thititorn Seneewong Na Ayutthaya, Chanatip Saetia, Tawunrat Chalothorn, Pakpoom Buabthong |
| 2023 | Multi-task Learning Based Skin Segmentation. | Taizhe Tan, Zhenghao Shan |
| 2023 | WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction. | Junjie Tang, Junhao Zhang, Juncheng Jin, Zehui Qu |
| 2023 | ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. | Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian |
| 2023 | Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training. | Keke Tang, Tianrui Lou, Xu He, Yawen Shi, Peican Zhu, Zhaoquan Gu |
| 2023 | Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization. | Xiao Su, Yalan Zhou, Shanshan He, Xiangxia Li |
| 2023 | Black-Box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge. | Qin Sun, Zheng Yang, Zhiming Liu, Quan Zou |
| 2023 | Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation. | Tengwei Song, Long Yin, Xudong Ma, Jie Luo |
| 2023 | Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis. | Kai Shen, Haoyu Wang, Arin Chaudhuri, Zohreh Asgharzadeh |
| 2023 | Cluster Robust Inference for Embedding-Based Knowledge Graph Completion. | Simon Schramm, Ulrich Niklas, Ute Schmid |
| 2023 | Critical Node Privacy Protection Based on Random Pruning of Critical Trees. | Lianwei Qu, Yong Wang, Jing Yang |
| 2023 | Dynamic Feed-Forward LSTM. | Chengkai Piao, Yuchen Wang, Jinmao Wei |
| 2023 | Are GPT Embeddings Useful for Ads and Recommendation? | Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen |
| 2023 | Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks. | Jieya Peng, Jiale Xu, Ya Li |
| 2023 | A Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data. | Qianqian Peng, Ziming Tang, Xinzhi Yao, Sizhuo Ouyang, Zhihan He, Jingbo Xia |
| 2023 | A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning. | Caihong Mu, Jiahui Ying, Yunfei Fang, Yi Liu |
| 2023 | GMiRec: A Multi-image Visual Recommendation Model Based on a Gated Neural Network. | Caihong Mu, Xin Tang, Jiashen Luo, Yi Liu |