| 2024 | FedPPQs: Optimizing Property Path Queries Evaluation over Federated RDF Systems. | Jibing Wu, Ningchao Ge, Tengyun Wang, Xuan Li, Lihua Liu, Hongbin Huang |
| 2024 | LLM-Based Empathetic Response Through Psychologist-Agent Debate. | Yijie Wu, Shi Feng, Ming Wang, Daling Wang, Yifei Zhang |
| 2024 | Computing Minimum Subset Repair on Incomplete Data. | Henghui Wang, Anzhen Zhang, Jing Zhang, Na Guo, Xiufeng Xia |
| 2024 | Filter-GLAT: Filter Glanced Decoder Output for Non-autoregressive Transformer. | Zichun Wang, Huanran Zheng, Xiaoling Wang |
| 2024 | Detecting Camouflaged Social Bots Through Multi-level Aggregation and Information Encoding. | Ziyi Wang, Kui Zhao |
| 2024 | TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. | Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li |
| 2024 | Robust Multi-vehicle Routing with Communication Enhanced Multi-agent Reinforcement Learning for Last-Mile Logistics. | Hai Wang, Shuai Wang, Xiaolei Zhou |
| 2024 | Noise-Resistant Graph Neural Networks for Session-Based Recommendation. | Qi Wang, Anbiao Wu, Ye Yuan, Yishu Wang, Guangqing Zhong, Xuefeng Gao, Chenghu Yang |
| 2024 | AGAE: Unsupervised Anomaly Detection for Encrypted Malicious Traffic. | Hao Wang, Ye Wang, Zhaoquan Gu, Yan Jia |
| 2024 | PrivRBFN: Building Privacy-Preserving Radial Basis Function Networks Based on Federated Learning. | Rong Wang, Siyu Wang |
| 2024 | ACMDS: An Anonymous Collaborative Medical Data Sharing Scheme Based on Blockchain. | Yifan Wang, Yu Tao, Hao Wang, Chunpeng Ge, Lu Zhou |
| 2024 | A Context-Aware Distance Analysis Approach for Time Series. | Zhihui Wang, Changlian Tan, Yuliang Ni |
| 2024 | Dynamic Route Planning System Integrated with Traffic Flow Sensing. | Bingkun Wang, Yixin Tian, Fangshu Chen, Jiahui Wang, Yufei Zhang |
| 2024 | Distribution-Aware Diversification for Personalized Re-ranking in Recommendation. | Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu |
| 2024 | Temporalformer: A Temporal Decomposition Causal Transformer Network For Wind Power Forecasting. | Yansong Wang, Lili Pei, Yingying Wang, Yuanlin Zhao, Zhenzhen Xing |
| 2024 | An Aggregation Procedure Enhanced Mechanism for GCN-Based Knowledge Graph Completion Model by Leveraging Condensed Sampling and Attention Optimization. | Yashen Wang, Xiaoye Ouyang, Xiaoling Zhu, Dayu Guo, Yi Zhang |
| 2024 | Knowledge-Enhanced Context Representation for Unbiased Scene Graph Generation. | Yuanlong Wang, Zhenqi Liu, Hu Zhang, Ru Li |
| 2024 | Explicit Relation-Enhanced AMR for Document-Level Event Argument Extraction with Global-Local Attention. | Pushi Wang, Tao Luo, Xin Wang, Guozheng Rao |
| 2024 | CGAR: A Contrastive Graph Attention Residual Network for Enhanced Fake News Detection. | Chenchen Wang, Xingjian Lu, Xiaoling Wang, Chenhui Qi |
| 2024 | A Data Synthesis Approach Based on Local Differential Privacy. | Zhihui Wang, Yishan Liu, Yuliang Ni |
| 2024 | LPRL-GCNN for Multi-relation Link Prediction in Education. | Jialei Wang, Can Jiang, Meirui Ren, Jin Li, Bohan Zhang, Longjiang Guo |
| 2024 | Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task. | Chen Wang, Cong Hu, Jiang Zhong, Huawen Liu, Qi Li, Donghua Yu, Xue Li |
| 2024 | An Epidemic Trend Prediction Model with Multi-source Auxiliary Data. | Benfeng Wang, Xiaohua He, Hang Lin, Guojiang Shen, Xiangjie Kong |
| 2024 | Logic Preference Fusion Reasoning on Recommendation. | Xingying Tong, Huanhuan Yuan, Yongjing Hao, Junhua Fang, Guanfeng Liu, Pengpeng Zhao |
| 2024 | External Knowledge Enhancing Meta-learning Framework for Few-Shot Text Classification via Contrastive Learning and Adversarial Network. | Xin Sun, Yan Yang, Yong Liu |