| 2024 | PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. | Azin Ghazimatin, Ekaterina Garmash, Gustavo Penha, Kristen Sheets, Martin Achenbach, Oguz Semerci, Remi Galvez, Marcus Tannenberg, Sahitya Mantravadi, Divya Narayanan, Ofeliya Kalaydzhyan, Douglas Cole, Ben Carterette, Ann Clifton, Paul N. Bennett, Claudia Hauff, Mounia Lalmas |
| 2024 | Compositional and Hierarchical Semantic Learning Model for Hospital Readmission Prediction. | Weiting Gao, Xiangyu Gao, Yi Chen |
| 2024 | HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. | Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang |
| 2024 | ACDM: An Effective and Scalable Active Clustering with Pairwise Constraint. | Xun Fu, Wen-Bo Xie, Bin Chen, Tao Deng, Tian Zou, Xin Wang |
| 2024 | Tabular Data-centric AI: Challenges, Techniques and Future Perspectives. | Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu |
| 2024 | SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. | Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu |
| 2024 | DCAI: The 4th International Workshop on Data-Centric AI. | Yanjie Fu, Kunpeng Liu, Dongjie Wang |
| 2024 | Retrogressive Document Manipulation of US Federal Environmental Websites. | Lesley Frew, Michael L. Nelson, Michele C. Weigle |
| 2024 | GraphWeaver: Billion-Scale Cybersecurity Incident Correlation. | Scott Freitas, Amir Gharib |
| 2024 | A Generative Benchmark Creation Framework for Detecting Common Data Table Versions. | Daniel C. Fox, Aamod Khatiwada, Roee Shraga |
| 2024 | CHDAER: Consistent Hashing-based Data Allocation for Efficient Recommendation in Edge Environment. | Zhikang Feng, Chao Yan, Rong Jiang, Xiaolong Xu, Xuyun Zhang, Xiaokang Zhou, Wanchun Dou, Lianyong Qi |
| 2024 | Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. | Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu |
| 2024 | pyPANTERA: A Python PAckage for Natural language obfuscaTion Enforcing pRivacy & Anonymization. | Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro |
| 2024 | Parallel-friendly Spatio-Temporal Graph Learning for Photovoltaic Degradation Analysis at Scale. | Yangxin Fan, Raymond Wieser, Laura S. Bruckman, Roger H. French, Yinghui Wu |
| 2024 | Precision Meets Resilience: Cross-Database Generalization with Uncertainty Quantification for Robust Cost Estimation. | Shuhuan Fan, Mengshu Hou, Rui Xi, Wenwen Ma |
| 2024 | Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans. | Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv |
| 2024 | A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference. | Yupeng Fang, Ruirui Liu, Huichou Huang, Peilin Zhao, Qingyao Wu |
| 2024 | Effective Clean-Label Backdoor Attacks on Graph Neural Networks. | Xuanhao Fan, Enyan Dai |
| 2024 | Accurate Embedding-based Log Determinant Optimization. | Daye Eun, Byungkon Kang |
| 2024 | Probabilistic Path Integration with Mixture of Baseline Distributions. | Yehonatan Elisha, Oren Barkan, Noam Koenigstein |
| 2024 | VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities. | Shusaku Egami, Takanori Ugai, Swe Nwe Nwe Htun, Ken Fukuda |
| 2024 | Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness. | David Quashigah Dzakpasu, Jixue Liu, Jiuyong Li, Lin Liu |
| 2024 | iMIRACLE: An Iterative Multi-View Graph Neural Network to Model Intercellular Gene Regulation From Spatial Transcriptomic Data. | Ziheng Duan, Siwei Xu, Cheyu Lee, Dylan Riffle, Jing Zhang |
| 2024 | Explainable Stock Price Movement Prediction using Contrastive Learning. | Kelvin Du, Rui Mao, Frank Xing, Erik Cambria |
| 2024 | Towards Uncertainty Quantification for Time Series Segmentation. | Erick Draayer, Huiping Cao |