| 2024 | Descriptive Kernel Convolution Network with Improved Random Walk Kernel. | Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu |
| 2024 | Deep Learning for Hate Speech Detection: A Personality-based Approach. | Kyuhan Lee, Sudha Ram |
| 2024 | VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation. | Geon Lee, Soo Yong Lee, Kijung Shin |
| 2024 | AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention. | Kiho Lee, Chaejin Lim, Beomjin Jin, Taeyoung Kim, Hyoungshick Kim |
| 2024 | A Study of Vulnerability Repair in JavaScript Programs with Large Language Models. | Tan Khang Le, Saba Alimadadi, Steven Y. Ko |
| 2024 | Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models. | Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari |
| 2024 | Shock! Quantifying the Impact of Core Developers' Dropout on the Productivity of OSS Projects. | Giuseppe Russo Latona, Christoph Gote, Christian Zingg, Giona Casiraghi, Luca Verginer, Frank Schweitzer |
| 2024 | Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. | Wonbin Kweon, Hwanjo Yu |
| 2024 | Top-Personalized-K Recommendation. | Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu |
| 2024 | Advancing Stance Detection of Political Fan Pages: A Multimodal Approach. | Kuan-Hung Kuo, Ming-Hung Wang, Hung-Yu Kao, Yu-Chen Dai |
| 2024 | A Method for Assessing Inference Patterns Captured by Embedding Models in Knowledge Graphs. | Narayanan Asuri Krishnan, Carlos R. Rivero |
| 2024 | Anonymity Analysis of the Umbra Stealth Address Scheme on Ethereum. | Alex Mrk Kovcs, Istvn Andrs Seres |
| 2024 | Universal Knowledge Graph Embeddings. | N'Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo |
| 2024 | Characterizing the Solana NFT Ecosystem. | Dechao Kong, Xiaoqi Li, Wenkai Li |
| 2024 | Travel Demand Prediction with Application to Commuter Demand Estimation on Urban Railways. | Yohei Kodama, Yuki Akeyama, Yusuke Miyazaki, Koh Takeuchi |
| 2024 | Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. | Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua |
| 2024 | Revisiting the Behavioral Foundations of User Modeling Algorithms. | Jon M. Kleinberg |
| 2024 | Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. | Haruka Kiyohara, Masahiro Nomura, Yuta Saito |
| 2024 | FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. | Irwin King, Guodong Long, Zenglin Xu, Han Yu |
| 2024 | Making Cloud Spot Instance Interruption Events Visible. | Kyunghwan Kim, Kyungyong Lee |
| 2024 | Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction. | Minsang Kim, Seung Baek |
| 2024 | Labor Space: A Unifying Representation of the Labor Market via Large Language Models. | Seongwoon Kim, Yong-Yeol Ahn, Jaehyuk Park |
| 2024 | From Bollywood Son Preference to Moral Policing on Women in Iran - A 360° View of Gender Bias. | Ashiqur R. KhudaBukhsh |
| 2024 | Analyzing Ad Exposure and Content in Child-Oriented Videos on YouTube. | Emaan Bilal Khan, Nida Tanveer, Aima Shahid, Mohammad Jaffer Iqbal, Haashim Ali Mirza, Armish Javed, Ihsan Ayyub Qazi, Zafar Ayyub Qazi |
| 2024 | SE-PQA: Personalized Community Question Answering. | Pranav Kasela, Marco Braga, Gabriella Pasi, Raffaele Perego |