| 2024 | Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. | Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath |
| 2024 | Quantifying and Estimating the Predictability Upper Bound of Univariate Numeric Time Series. | Jamal Mohammed, Michael H. Bhlen, Sven Helmer |
| 2024 | European Data Science Day: KDD-2024 Special Day. | Dunja Mladenic, Dumitru Roman |
| 2024 | Learning Causal Networks from Episodic Data. | Osman Mian, Sarah Mameche, Jilles Vreeken |
| 2024 | Scaling Training Data with Lossy Image Compression. | Katherine L. Mentzer, Andrea Montanari |
| 2024 | Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social Networks. | Zizhuo Meng, Ke Wan, Yadong Huang, Zhidong Li, Yang Wang, Feng Zhou |
| 2024 | Handling Varied Objectives by Online Decision Making. | Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou |
| 2024 | FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. | Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin |
| 2024 | Explainable Artificial Intelligence on Biosignals for Clinical Decision Support. | Miriam Cindy Maurer, Jacqueline Michelle Metsch, Philip Hempel, Theresa Bender, Nicolai Spicher, Anne-Christin Hauschild |
| 2024 | Fair Column Subset Selection. | Antonis Matakos, Bruno Ordozgoiti, Suhas Thejaswi |
| 2024 | A Uniformly Bounded Correlation Function for Spatial Point Patterns. | Evgenia Martynova, Johannes Textor |
| 2024 | Low Rank Multi-Dictionary Selection at Scale. | Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov |
| 2024 | Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery. | Nour Makke, Sanjay Chawla |
| 2024 | PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer. | Jiahong Ma, Mingguo He, Zhewei Wei |
| 2024 | FLAIM: AIM-based Synthetic Data Generation in the Federated Setting. | Samuel Maddock, Graham Cormode, Carsten Maple |
| 2024 | Cross-Context Backdoor Attacks against Graph Prompt Learning. | Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang |
| 2024 | MISP: A Multimodal-based Intelligent Server Failure Prediction Model for Cloud Computing Systems. | Xianting Lu, Yunong Wang, Yu Fu, Qi Sun, Xuhua Ma, Xudong Zheng, Cheng Zhuo |
| 2024 | Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge. | Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou, Zaiqing Nie |
| 2024 | FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. | Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia |
| 2024 | Integrating System State into Spatio Temporal Graph Neural Network for Microservice Workload Prediction. | Yang Luo, Mohan Gao, Zhemeng Yu, Haoyuan Ge, Xiaofeng Gao, Tengwei Cai, Guihai Chen |
| 2024 | AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang |
| 2024 | High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. | Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt |
| 2024 | Neural Collapse Inspired Debiased Representation Learning for Min-max Fairness. | Shenyu Lu, Junyi Chai, Xiaoqian Wang |
| 2024 | Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. | Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin |
| 2024 | Debiased Recommendation with Noisy Feedback. | Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou |