| 2024 | Differential Privacy with Data Removal for Online Happiness Assessment. | Yanjie Luo, Lin Li, Xiaohua Wu, Xiaohui Tao |
| 2024 | MFCD:A Deep Learning Method with Fuzzy Clustering for Time Series Anomaly Detection. | Kaisheng Luo, Chang Liu, Baiyang Chen, Xuedong Li, Dezhong Peng, Zhong Yuan |
| 2024 | EPCQ: Efficient Privacy-Preserving Contact Query Processing over Trajectory Data in Cloud. | Qu Lu, Hua Dai, Bohan Li, Pengyue Li, Qian Zhou, Qiang Zhou, Geng Yang |
| 2024 | Tree and Graph Based Two-Stages Routing for Approximate Nearest Neighbor Search. | Jiannan Li, Zhenyu Zhang, Xiaoling Wang, Haoyang Li |
| 2024 | WS-GCA: A Synergistic Framework for Precise Semantic Segmentation with Comprehensive Supervision. | Zepeng Li, Wenzhen Zhang, Jiagang Song, Boyan Chen, Yuxuan Hu, Shichao Zhang |
| 2024 | A Dual-Tower Model for Station-Level Electric Vehicle Charging Demand Prediction. | Qinyuan Li, Lei Yao, Shaolin Wang, Haoyang Che, Yan Yi |
| 2024 | GCH: Graph Contrastive Learning with Higher-Order Networks. | Xia Li, Yan Yang |
| 2024 | Table Embedding Models Based on Contrastive Learning for Improved Cardinality Estimation. | Hongwei Li, Chaokun Wang, Ziyang Liu |
| 2024 | SPCCP-Miner: Towards the Discovery of Congested Junctions. | Zheying Liu, Zhengyu Yang, Xuguang Bao |
| 2024 | UFI4ER: An Utterance-Level Feature Dynamic Interaction Model for Cognition-Enhanced Empathetic Response Generation. | Yi Liu, Daling Wang, Shi Feng, Yifei Zhang, Ge Yu |
| 2024 | ECHO: Adaptive Correction for Subgraph-Wise Sampling with Lightweight Hyperparameter Search. | Dingwei Liu, Zhenyu Li, Zhibin Zhang |
| 2024 | Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features. | Hui Liu, Ke Ji, Zhenxiang Chen, Kun Ma, Xiaofan Zhao |
| 2024 | FedOCD: A One-Shot Federated Framework for Heterogeneous Cross-Domain Recommendation. | Zhi Liu, Xiaohua He, Xulin Ma, Benfeng Wang, Guojiang Shen, Xiangjie Kong |
| 2024 | Federated Knowledge Graph Embedding Unlearning via Diffusion Model. | Bingchen Liu, Yuanyuan Fang, Xu Wang, Xin Li |
| 2024 | Generic and Scalable Detection of Risky Transactions Using Density Flows: Applications to Financial Networks. | Guang Li, Ye Qiao, Jieying Zhou, Weigang Wu |
| 2024 | Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection. | Enxia Li, Jin Ouyang, Sheng Xiang, Lu Qin, Ling Chen |
| 2024 | NLITS: A Natural Language Interface for Time Series Databases. | Yuting Lin, Jianqiu Xu, Xieyang Wang, Yitong Zhang |
| 2024 | ST-TPFL: Towards Spatio-Temporal Traffic Flow Prediction Based on Topology Protected Federated Learning. | Ying Lin, Xingjian Lu, Yibing Wang, Yuhui Jiang, Wei Mao |
| 2024 | Robust Local Community Search over Large Heterogeneous Information Networks. | Yuan Li, Qingxin Kong, Wei Song, Guoli Yang, Yuhai Zhao |
| 2024 | Automated Multi-scale Contrastive Learning with Sample-Awareness for Graph Classification. | Yafang Li, Jie Kang, Xuyang Li, Caiyan Jia, Baokai Zu |
| 2024 | Matching Tabular Data to Knowledge Graph Based on Multi-level Scoring Filters for Table Entity Disambiguation. | Xinhe Li, Chenghuan Jiang, Peng Wang |
| 2024 | Contrastive Generator Generative Adversarial Networks for Sequential Recommendation. | Jianhong Li |
| 2024 | Unsupervised Feature Selection via Fuzzy K-Means and Sparse Projection. | Kun Jiang, Lei Zhu, Qindong Sun |
| 2024 | SBGMN: A Multi-view Sign Prediction Network for Bipartite Graphs. | Yuanyuan Jiang, Jianke Yu, Zhangyi Xu, Chen Chen, Yang-Wai Chow, Ying Zhang |
| 2024 | Functional Knowledge Graph Towards Knowledge Application and Data Management for General Users. | Xiaolin Hu |