| 2023 | E-swish Regularized Nonnegative Latent Factorization of Tensors for Dynamic Network Link Prediction. | Hao Wu, Yan Xia, ChengXuan Zhou |
| 2023 | Clustering with Entropy-based Recombination for Training GCNs on Large Graphs. | Shangwei Wu, Yingtong Xiong, Hui Liang, Chuliang Weng |
| 2023 | A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesions. | Peishu Wu, Haipeng Xu, Meilin Liu, Han Li, Hongfu Zeng, Huihua Hu, Nianyin Zeng |
| 2023 | Differentially Private Causal Inference Under Hierarchical Design. | Fan Wu, Bowei Xi |
| 2023 | SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. | Shiqing Wu, Guandong Xu, Xianzhi Wang |
| 2023 | Predicting Value-at-Risk with Risk-aware Mutual Attention Mechanism. | Chien-Shuo Wu, Shiou-Chi Li, Jen-Wei Huang |
| 2023 | From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis. | Stanislaw Wozniak, Jan Kocon |
| 2023 | Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. | Thorsten Wittkopp, Alexander Acker, Odej Kao |
| 2023 | To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. | Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin |
| 2023 | ESOA Algorithm Based on learning rate optimization in Convolutional neural networks. | Peiyang Wei, Xiaoyu Shi, Jiesan Zhou |
| 2023 | Compatible Transformer for Irregularly Sampled Multivariate Time Series. | Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen |
| 2023 | Model Cloaking against Gradient Leakage. | Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu |
| 2023 | Can Neural Networks Distinguish High-school Level Mathematical Concepts? | Sebastian Wankerl, Andrzej Dulny, Gerhard Gtz, Andreas Hotho |
| 2023 | Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. | Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao |
| 2023 | Dual trustworthy mechanism for illness classification with multi-modality data. | Qing Wang, Jia Zhu, Changfan Pan, Jianyang Shi, Chaojun Meng, Hanghui Guo |
| 2023 | An Approach for Data Publishing with Sensitive Attribute Synthesis. | Zhihui Wang, Yun Zhu, Xinyuan Mi |
| 2023 | Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. | Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang |
| 2023 | Counterfactual Explanations for Time Series Forecasting. | Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou |
| 2023 | Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. | Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng |
| 2023 | CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. | Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang |
| 2023 | Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. | Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng |
| 2023 | Hyperbolic Node Structural Role Embedding. | Lili Wang, Chenghan Huang, Weicheng Ma, Zhongyang Li, Soroush Vosoughi |
| 2023 | BDVFL: Blockchain-based Decentralized Vertical Federated Learning. | Shuo Wang, Keke Gai, Jing Yu, Liehuang Zhu |
| 2023 | IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. | Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu |
| 2023 | FedNAT: Byzantine-robust Federated Learning through Activation-based Attention Transfer. | Mengxin Wang, Liming Fang, Kuiqi Chen |