| 2024 | Machine Learning for Clinical Management: From the Lab to the Hospital. | Ricard Gavald |
| 2024 | KiL 2024: 4th International Workshop on Knowledge-infused Learning | Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy |
| 2024 | Online Preference Weight Estimation Algorithm with Vanishing Regret for Car-Hailing in Road Network. | Yucen Gao, Zhehao Zhu, Mingqian Ma, Fei Gao, Hui Gao, Yangguang Shi, Xiaofeng Gao |
| 2024 | Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning. | Heyang Gao, Zexu Sun, Hao Yang, Xu Chen |
| 2024 | Graph Condensation for Open-World Graph Learning. | Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin |
| 2024 | Graph Machine Learning Meets Multi-Table Relational Data. | Quan Gan, Minjie Wang, David Wipf, Christos Faloutsos |
| 2024 | Residual Multi-Task Learner for Applied Ranking. | Cong Fu, Kun Wang, Jiahua Wu, Yizhou Chen, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Zhiming Zhou |
| 2024 | Federated Graph Learning with Structure Proxy Alignment. | Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li |
| 2024 | DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation. | Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li |
| 2024 | CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning. | Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. . Jensen, Raghavendra Selvan |
| 2024 | EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. | Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi |
| 2024 | GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants. | Sophie Fischer, Carlos Gemmell, Niklas Tecklenburg, Iain Mackie, Federico Rossetto, Jeffrey Dalton |
| 2024 | SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns. | Yuye Feng, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren |
| 2024 | Communication-efficient Multi-service Mobile Traffic Prediction by Leveraging Cross-service Correlations. | Zhiying Feng, Qiong Wu, Xu Chen |
| 2024 | Influence Maximization via Graph Neural Bandits. | Yuting Feng, Vincent Y. F. Tan, Bogdan Cautis |
| 2024 | ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation. | Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong |
| 2024 | Label Shift Correction via Bidirectional Marginal Distribution Matching. | Ruidong Fan, Xiao Ouyang, Hong Tao, Chenping Hou |
| 2024 | GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. | Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan |
| 2024 | A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. | Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li |
| 2024 | Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization. | Ariel Evnine, Stratis Ioannidis, Dimitris Kalimeris, Shankar Kalyanaraman, Weiwei Li, Israel Nir, Wei Sun, Udi Weinsberg |
| 2024 | Fragile Earth: Generative and Foundational Models for Sustainable Development. | Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao |
| 2024 | Disentangled Multi-interest Representation Learning for Sequential Recommendation. | Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang |
| 2024 | Enhancing E-commerce Spelling Correction with Fine-Tuned Transformer Models. | Arnab Dutta, Gleb Polushin, Xiaoshuang Zhang, Daniel Stein |
| 2024 | Representation Learning of Temporal Graphs with Structural Roles. | Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou |
| 2024 | CAT: Interpretable Concept-based Taylor Additive Models. | Viet Duong, Qiong Wu, Zhengyi Zhou, Hongjue Zhao, Chenxiang Luo, Eric Zavesky, Huaxiu Yao, Huajie Shao |