| 2024 | On Dark Knowledge for Distilling Generators. | Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen |
| 2024 | DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. | Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata |
| 2024 | Modeling Treatment Effect with Cross-Domain Data. | Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou |
| 2024 | MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles. | Bingru Han, Juanjuan Zhao, Xitong Gao, Kejiang Ye, Fan Zhang |
| 2024 | Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data. | Arash Hajisafi, Haowen Lin, Yao-Yi Chiang, Cyrus Shahabi |
| 2024 | A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection. | Yuheng Gu, Shoubo Peng, Yaqin Li, Linlin Gao, Yihong Dong |
| 2024 | Local Subsequence-Based Distribution for Time Series Clustering. | Lei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu |
| 2024 | Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering. | Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi |
| 2024 | A New Loss for Image Retrieval: Class Anchor Margin. | Alexandru Ghita, Radu Tudor Ionescu |
| 2024 | SAWTab: Smoothed Adaptive Weighting for Tabular Data in Semi-supervised Learning. | Morteza Mohammady Gharasuie, Fengjiao Wang, Omar Sharif, Ravi Mukkamala |
| 2024 | BioReX: Biomarker Information Extraction Inspired by Aspect-Based Sentiment Analysis. | Weiting Gao, Xiangyu Gao, Wenjin Chen, David J. Foran, Yi Chen |
| 2024 | Using Multimodal Data to Improve Precision of Inpatient Event Timelines. | Gabriel Frattallone-Llado, Juyong Kim, Cheng Cheng, Diego Salazar, Smitha Edakalavan, Jeremy C. Weiss |
| 2024 | AutoClues: Exploring Clustering Pipelines via AutoML and Diversification. | Matteo Francia, Joseph Giovanelli, Matteo Golfarelli |
| 2024 | Class Ratio and Its Implications for Reproducibility and Performance in Record Linkage. | Jrmy Foxcroft, Peter Christen, Luiza Antonie |
| 2024 | Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection. | Yuye Feng, Wei Zhang, Haiming Sun, Weihao Jiang |
| 2024 | SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. | Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang |
| 2024 | HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation. | Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme |
| 2024 | A Multimodal and Multitask Approach for Adaptive Geospatial Region Embeddings. | Rajjat Dadwal, Ran Yu, Elena Demidova |
| 2024 | Neural Marked Hawkes Process for Limit Order Book Modeling. | Guhyuk Chung, Yongjae Lee, Woo Chang Kim |
| 2024 | Revisiting Link Prediction with the Dowker Complex. | Jae Won Choi, Yuzhou Chen, Jos Fras, Joel Chacn Castillo, Yulia R. Gel |
| 2024 | Contrastive Learning for Unsupervised Sentence Embedding with False Negative Calibration. | Chi-Min Chiu, Ying-Jia Lin, Hung-Yu Kao |
| 2024 | MvRNA: A New Multi-view Deep Neural Network for Predicting Parkinson's Disease. | Lin Chen, Yuxin Zhou, Xiaobo Zhang, Zhehao Zhang, Hailong Zheng |
| 2024 | Meta-Reinforcement Learning Algorithm Based on Reward and Dynamic Inference. | Jinhao Chen, Chunhong Zhang, Zheng Hu |
| 2024 | Personalized EDM Subject Generation via Co-factored User-Subject Embedding. | Yu-Hsiu Chen, Zhi Rui Tam, Hong-Han Shuai |
| 2024 | Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. | Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry |