| 2023 | ParaNet:Parallel Networks with Pre-trained Models for Text Classification. | Yujia Wu, Xin Guo, Yi Wei, Xingli Chen |
| 2023 | VLS: A Reinforcement Learning-Based Value Lookahead Strategy for Multi-product Order Fulfillment. | Ryan Wickman, Junxuan Li, Xiaofei Zhang |
| 2023 | A Fine-Grained Verification Method for Blockchain Data Based on Merkle Path Sharding. | Liang Wen, Zhiqiong Wang, Tingyu Cui, Caiyun Shi, Baoting Li, Zhongming Yao |
| 2023 | Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. | Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | SNN-BS: A Clinical Terminology Standardization Method Using Siamese Networks with Batch Sampling Strategy. | Xiao Wei, Xiaoxin Wang, Nengjun Zhu |
| 2023 | Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations. | Yinyi Wei, Shuaipeng Liu, Hailei Yan, Wei Ye, Tong Mo, Guanglu Wan |
| 2023 | Anatomical-Functional Fusion Network for Lesion Segmentation Using Dual-View CEUS. | Peng Wan, Chunrui Liu, Daoqiang Zhang |
| 2023 | Double-Optimized CS-BP Anomaly Prediction for Control Operation Data. | Ming Wan, Xueqing Liu, Yang Li |
| 2023 | Multi-grained Logical Graph Network for Reasoning-Based Machine Reading Comprehension. | Jiaqi Wang, Jiang Zhong, Hong Yin, Chen Wang, Qizhu Dai, Yang Xia, Rongzhen Li |
| 2023 | Path Integration Enhanced Graph Attention Network. | Hui Wang, Peng Zhou, Junbo Ma |
| 2023 | Drug-Target Interaction Prediction Based on Drug Subgraph Fingerprint Extraction Strategy and Subgraph Attention Mechanism. | Lizhi Wang, Xiaolong Zhang, Xiaoli Lin, Jing Hu |
| 2023 | A Knowledge-Enhanced Inferential Network for Cross-Modality Multi-hop VQA. | Shiqi Wang, Jianxing Yu, Miaopei Lin, Shuang Qiu, Xiaofeng Luo, Jian Yin |
| 2023 | Aspect-Based Sentiment Analysis via BERT and Multi-scale CBAM. | Qingsong Wang, Nianyin Yang |
| 2023 | Dual-Granularity Contrastive Learning for Session-Based Recommendation. | Zihan Wang, Gang Wu, Haotong Wang |
| 2023 | Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation. | Weikuan Wang, Tao Shen, Michael Blumenstein, Guodong Long |
| 2023 | Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding. | Yang Wang, Xueping Peng, Tao Shen, Allison Clarke, Clement Schlegel, Paul Martin, Guodong Long |
| 2023 | A Novel Explainable Rumor Detection Model with Fusing Objective Information. | Junlong Wang, Dechang Pi, Mingtian Ping, Zhiwei Chen |
| 2023 | SE-Prompt: Exploring Semantic Enhancement with Prompt Tuning for Relation Extraction. | Cai Wang, Dongyang Li, Xiaofeng He |
| 2023 | Difficulty-Controlled Question Generation in Adaptive Education for Few-Shot Learning. | YuChen Wang, Li Li |
| 2023 | Training Noise Robust Deep Neural Networks with Self-supervised Learning. | Zhen Wang, Shuo Jin, Jiapeng Du, Linhao Li, Yongfeng Dong |
| 2023 | Efficient Mining of High Utility Co-location Patterns Based on a Query Strategy. | Vanha Tran, Lizhen Wang, Jinpeng Zhang, Thanhcong Do |
| 2023 | Dominance Maximization in Uncertain Graphs. | Atharva Tekawade, Suman Banerjee |
| 2023 | Influence Maximization with Tag Revisited: Exploiting the Bi-submodularity of the Tag-Based Influence Function. | Atharva Tekawade, Suman Banerjee |
| 2023 | Analyzing the Convergence of Federated Learning with Biased Client Participation. | Lei Tan, Miao Hu, Yipeng Zhou, Di Wu |
| 2023 | Heterogeneous Line Graph Neural Network for Link Prediction. | Yiyang Sun, Yuncong Zhao, Longjie Li, Hu Dong |