| 2024 | FNDPro: Evaluating the Importance of Propagations during Fake News Spread. | Herun Wan, Ningnan Wang, Xiang Zhao, Rui Li, Hui Yang, Minnan Luo |
| 2024 | Sparsity-Aware Personalized Pattern Extractor Network for Music Multi-task Learning. | Shijia Wang, Yi Zheng, Qiang Xiao, Yilong Zhao, Qimeng Yang, Chuanjiang Luo |
| 2024 | SecGraph: Towards SGX-based Efficient and Confidentiality-Preserving Graph Search. | Qiuhao Wang, Xu Yang, Saiyu Qi, Yong Qi |
| 2024 | LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy. | Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang |
| 2024 | STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction. | Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao |
| 2024 | Attributed Triple Extraction by Combination Under Contrastive Learning. | Runzhe Wang, Gaofeng Xu, Guilin Qi, Yun Li, Yongrui Chen, Songlin Zhai, Yuxin Zhang, Rihui Jin, Nijun Li, Qianren Wang |
| 2024 | Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated Learning. | Shuyang Wang, Hongcheng Xie, Yu Guo, Fangda Guo, Fangming Jing, Rongfang Bie |
| 2024 | Social Relation Enhanced Heterogeneous Graph Contrastive Learning for Recommendation. | Jiaxi Wang, Bingce Wang, Liwen Zhang, Tong Mo, Weiping Li |
| 2024 | Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks. | Yang Wang, Xinye Wang, Chengxin He, Xiaocong Chen, Zhaohang Luo, Lei Duan, Jie Zuo |
| 2024 | Voices of Asynchronous Learning Students: Revealing Learning Characteristics Through Vocabulary Analysis of Notes Tagged in Videos. | Xiaonan Wang, Yancong Su, Yi Sun, Takeshi Nishida, Kazuhiro Ohtsuki, Hidenari Kiyomitsu |
| 2024 | Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation. | Yuexian Wang, Wenze Ma, Yanmin Zhu, Chunyang Wang, Zhaobo Wang, Feilong Tang, Jiadi Yu |
| 2024 | Time-aware Session Modeling for Knowledge Tracing. | Jing Wang, Huifang Ma, Mengyuan Zhang, Zhixin Li, Liang Chang |
| 2024 | To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models. | Zhefan Wang, Weizhi Ma, Min Zhang |
| 2024 | QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. | Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou |
| 2024 | A Dynamic pre-trained Model for Chinese Classical Poetry. | Xiaotong Wang, Xuanning Liu, Haorui Wang, Bin Wu |
| 2024 | EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs. | Hewen Wang, Bryan Hooi, Dan He, Juncheng Liu, Xiaokui Xiao |
| 2024 | Simulating Individual Infection Risk over Big Trajectory Data. | Haiyan Wang, Shanshan Feng, Lisi Chen, Yang Liu, Shuo Shang |
| 2024 | Flexible Contact Correlation Learning on Spatio-Temporal Trajectories. | Chenhao Wang, Lisi Chen, Shanshan Feng, Shuo Shang |
| 2024 | GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series. | Gang Tu, Dan Li, Bingxin Lin, Zibin Zheng, See-Kiong Ng |
| 2024 | Establishing a Decentralized Diamond Quality Management System: Advancing Towards Global Standardization. | Phan Hoang Tuan Trung, Le K. Bang |
| 2024 | Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. | Xiao Tan, Zhaoyang Wang, Meng Wang, Dian Shen, Weitong Chen, Beilun Wang |
| 2024 | Robust Graph Recommendation via Noise-Aware Adversarial Perturbation. | Jiakai Tang, Zuxu Sun, Wei Yao, Xu Chen |
| 2024 | Path-Aware Co-contrastive Learning for Signed Directed Network Embedding. | Yuechen Tang, Huifang Ma, Ke Shu, Zhixin Li, Liang Chang |
| 2024 | StepTC: Stepwise Triangle Counting on GPU with Two Efficient Set Intersection Methods. | Jiahao Tang, Zhixiong Li, Jianqiang Huang |
| 2024 | Fairness-aware Cross-Domain Recommendation. | Jiakai Tang, Xueyang Feng, Xu Chen |