| 2024 | Artificial Intelligence for Trauma Registry in Emergency Departments. | Ahmad Abdel-Hafez, Ben Gardiner, Oussama Djedidi |
| 2024 | On the Alignment of Group Fairness with Attribute Privacy. | Jan Aalmoes, Vasisht Duddu, Antoine Boutet |
| 2023 | Processing Reverse Nearest Neighbor Queries Based on Unbalanced Multiway Region Tree Index. | Liang Zhu, Shilan Zhang, Xin Song, Qin Ma, Weiyi Meng |
| 2023 | Meta-learning for Estimating Multiple Treatment Effects with Imbalance. | Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu |
| 2023 | FastAGEDs: Fast Approximate Graph Entity Dependency Discovery. | Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng |
| 2023 | Local Difference-Based Federated Learning Against Preference Profiling Attacks. | Qian Zhou, Zhongxu Han, Jiayang Wu |
| 2023 | Scaling Machine Learning with an Efficient Hybrid Distributed Framework. | Kankan Zhao, Youfang Leng, Hui Zhang, Xiyu Gao |
| 2023 | An Adaptive Drilling Sampling Method and Evaluation Model for Large-Scale Streaming Data. | Zhaohui Zhang, Yifei Tang, Peng Zhang, Pei Zhang, Dongxue Zhang, Pengwei Wang |
| 2023 | Multivariate Time Series Anomaly Detection Based on Graph Neural Network for Big Data Scheduling System. | Shipeng Zhang, Jing Liu |
| 2023 | Learning to Select the Relevant History Turns in Conversational Question Answering. | Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Subhash Sagar, Adnan Mahmood, Yang Zhang |
| 2023 | Identification and Generation of Actions Using Pre-trained Language Models. | Senthil Ganesan Yuvaraj, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Fethi Rabhi |
| 2023 | Prompt-Learning for Semi-supervised Text Classification. | Chengzhe Yuan, Zekai Zhou, Feiyi Tang, Ronghua Lin, Chengjie Mao, Luyao Teng |
| 2023 | TLEF: Two-Layer Evolutionary Framework for t-Closeness Anonymization. | Mingshan You, Yong-Feng Ge, Kate N. Wang, Hua Wang, Jinli Cao, Georgios Kambourakis |
| 2023 | Priv-S: Privacy-Sensitive Data Identification in Online Social Networks. | Yuzi Yi, Nafei Zhu, Jingsha He, Xiangjun Ma, Yehong Luo |
| 2023 | Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction. | Jiao Yin, Guihong Chen, Wei Hong, Hua Wang, Jinli Cao, Yuan Miao |
| 2023 | Unsupervised Representation Learning with Semantic of Streaming Time Series. | Chengyang Ye, Qiang Ma |
| 2023 | CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. | Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo |
| 2023 | Towards Robust Token Embeddings for Extractive Question Answering. | Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu |
| 2023 | Task-Driven Neural Natural Language Interface to Database. | Yuquan Yang, Qifan Zhang, Junjie Yao |
| 2023 | Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction. | Liu Yang, Jie Zhao, Jun Long, Jincai Huang, Zidong Wang, Tingxuan Chen |
| 2023 | Link Prediction for Opportunistic Networks Based on Hybrid Similarity Metrics and E-LSTM-D Models. | Xiaoying Yang, Lijie Li, Gang Xu, Ming Song, Feng Zhang |
| 2023 | A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. | Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng |
| 2023 | Label-Dependent Hypergraph Neural Network for Enhanced Multi-label Text Classification. | Xuqiang Xue, Xiaoming Wu, Shengnan Li, Xiangzhi Liu, Man Li |
| 2023 | Topological Network Field Preservation for Heterogeneous Graph Embedding. | Jiale Xu, Ouxia Du, Siyu Liu, Ya Li |
| 2023 | Fast Text Comparison Based on ElasticSearch and Dynamic Programming. | Pengcheng Xiao, Peng Lu, Chunqi Luo, Zhousen Zhu, Xuehua Liao |