| 2025 | Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction. | Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Jieming Zhu |
| 2025 | LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture. | Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo |
| 2025 | Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection. | Xiping Li, Xiangyu Dong, Xingyi Zhang, Kun Xie, Yuanhao Feng, Bo Wang, Guilin Li, Wuxiong Zeng, Xiujun Shu, Sibo Wang |
| 2025 | ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion. | Alex Lence, Federica Granese, Ahmad Fall, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti |
| 2025 | Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations. | Han Lei, Jiaxing Xu, Xia Dong, Yiping Ke |
| 2025 | PARSIFAL: Private and Robust Sign Federated Learning. | Runze Lei, Pinghui Wang, Juxiang Zeng, Chenxu Wang, Hongbin Pei, Junzhou Zhao |
| 2025 | Understanding and Tackling Over-Dilution in Graph Neural Networks. | Junhyun Lee, Veronika Thost, Bumsoo Kim, Jaewoo Kang, Tengfei Ma |
| 2025 | 3rd Workshop on Causal Inference and Machine Learning in Practice. | Jeong-Yoon Lee, Jing Pan, Yifeng Wu, Totte Harinen, Paul Lo, Zhenyu Zhao, Huigang Chen, Sichao Yin, Roland Stevenson, Jingshen Wang, Yingfei Wang, Chu Wang, Zeyu Zheng |
| 2025 | CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship. | Yeon-Chang Lee, Jaehyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim |
| 2025 | Logical Anomaly Detection with Text-based Logic via Component-Aware Contrastive Language-Image Training. | Seungeon Lee, Soopil Kim, Sion An, Sang-Chul Lee, Sang Hyun Park |
| 2025 | Range-limited Augmentation for Few-shot Learning in Tabular Data with Comprehensive Benchmark. | Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Min-Kook Suh, Seoyoon Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Woohyung Lim |
| 2025 | REDEEMing Modality Information Loss: Retrieval-Guided Conditional Generation for Severely Modality Missing Learning. | Jian Lang, Rongpei Hong, Zhangtao Cheng, Ting Zhong, Yong Wang, Fan Zhou |
| 2025 | Benchmarking and Advancing Large Language Models for Local Life Services. | Xiaochong Lan, Jie Feng, Jiahuan Lei, Xinlei Shi, Yong Li |
| 2025 | Fourth Workshop on Personalization and Recommendations in Search (PaRiS). | Sudarshan Lamkhede, Moumita Bhattacharya |
| 2025 | Simple yet Effective Graph Distillation via Clustering. | Yurui Lai, Taiyan Zhang, Renchi Yang |
| 2025 | LLMLight: Large Language Models as Traffic Signal Control Agents. | Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, Hui Xiong |
| 2025 | Neurophysiologically Realistic Environment for Comparing Adaptive Deep Brain Stimulation Algorithms in Parkinson's Disease. | Ekaterina Kuzmina, Dmitrii Kriukov, Mikhail Lebedev, Dmitry V. Dylov |
| 2025 | ComputAgeBench: Epigenetic Aging Clocks Benchmark. | Dmitrii Kriukov, Evgeniy Efimov, Ekaterina Kuzmina, Anastasiia Dudkovskaia, Ekaterina E. Khrameeva, Dmitry V. Dylov |
| 2025 | Cross-Validation for Longitudinal Datasets with Unstable Correlations. | Meera Krishnamoorthy, Michael W. Sjoding, Jenna Wiens |
| 2025 | LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning. | Fanshuang Kong, Richong Zhang, Ziqiao Wang |
| 2025 | Simulated Infectious Diseases Datasets with Controlled Data Bias. | Ruochen Kong, Taylor Anderson, Matthew Scotch, David J. Heslop, Yonchanok Khaokaew, Hao Xue, Li Xiong, Chandini Raina MacIntyre, Flora D. Salim, Andreas Zfle |
| 2025 | Breiman meets Bellman: Non-Greedy Decision Trees with MDPs. | Hector Kohler, Riad Akrour, Philippe Preux |
| 2025 | 'Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree': Zero-Shot Decision Tree Induction and Embedding with Large Language Models. | Ricardo Knauer, Mario Koddenbrock, Raphael Wallsberger, Nicholas M. Brisson, Georg N. Duda, Deborah Falla, David W. Evans, Erik Rodner |
| 2025 | Accurate Graph-based Multi-Positive Unlabeled Learning via Disentangled Multi-view Feature Propagation. | Junghun Kim, Hoyoung Yoon, Ka Hyun Park, U Kang |
| 2025 | Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? | Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park |