| 2023 | Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. | Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu |
| 2023 | Dual Intents Graph Modeling for User-centric Group Discovery. | Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang |
| 2023 | MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation. | Haotian Wu, Bowen Xing, Ivor W. Tsang |
| 2023 | Rethinking Sentiment Analysis under Uncertainty. | Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei |
| 2023 | Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection. | Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi |
| 2023 | Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction. | Yang Wu, Xurui Li, Xuhong Zhang, Yangyang Kang, Changlong Sun, Xiaozhong Liu |
| 2023 | Promoting Diversity in Mixed Complex Cooperative and Competitive Multi-Agent Environment. | Jia Wu, Zixiao Huang |
| 2023 | RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. | Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang |
| 2023 | Adaptive Graph Neural Diffusion for Traffic Demand Forecasting. | Yiling Wu, Xinfeng Zhang, Yaowei Wang |
| 2023 | A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. | Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye |
| 2023 | Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. | Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao |
| 2023 | Modeling Preference as Weighted Distribution over Functions for User Cold-start Recommendation. | Jingxuan Wen, Huafeng Liu, Liping Jing |
| 2023 | PSLF: Defending Against Label Leakage in Split Learning. | Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2023 | Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. | Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi |
| 2023 | MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection. | Siyuan Wang, Jianming Zheng, Wanyu Chen, Fei Cai, Xueshan Luo |
| 2023 | UrbanFloodKG: An Urban Flood Knowledge Graph System for Risk Assessment. | Yu Wang, Feng Ye, Binquan Li, Gaoyang Jin, Dong Xu, Fengsheng Li |
| 2023 | AFRF: Angle Feature Retrieval Based Popularity Forecasting. | Haoyu Wang, Zongxia Xie, Meiyao Liu, Canhua Guan |
| 2023 | MPerformer: An SE(3) Transformer-based Molecular Perceptron. | Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang |
| 2023 | FAMC-Net: Frequency Domain Parity Correction Attention and Multi-Scale Dilated Convolution for Time Series Forecasting. | Min Wang, Hua Wang, Fan Zhang |
| 2023 | Efficient Multi-Task Learning via Generalist Recommender. | Luyang Wang, Cangcheng Tang, Chongyang Zhang, Jun Ruan, Kai Huang, Jason Jinquan Dai |
| 2023 | Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. | Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang |
| 2023 | Diversity-aware Deep Ranking Network for Recommendation. | Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu, Shitao Xiao, Tao Feng, Ming Liu |
| 2023 | Continuous Personalized Knowledge Tracing: Modeling Long-Term Learning in Online Environments. | Chunpai Wang, Shaghayegh Sahebi |
| 2023 | Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations. | Yongjie Wang, Hangwei Qian, Yongjie Liu, Wei Guo, Chunyan Miao |
| 2023 | Optimizing Upstream Representations for Out-of-Domain Detection with Supervised Contrastive Learning. | Bo Wang, Tsunenori Mine |