| 2024 | Fairness in Streaming Submodular Maximization Subject to a Knapsack Constraint. | Shuang Cui, Kai Han, Shaojie Tang, Feng Li, Jun Luo |
| 2024 | Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through Recommendations. | Erica Coppolillo, Giuseppe Manco, Aristides Gionis |
| 2024 | Workshop on Human-Interpretable AI. | Gabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli |
| 2024 | Efficient Exploration of the Rashomon Set of Rule-Set Models. | Martino Ciaperoni, Han Xiao, Aristides Gionis |
| 2024 | Iterative Weak Learnability and Multiclass AdaBoost. | In-Koo Cho, Jonathan A. Libgober, Cheng Ding |
| 2024 | NudgeRank: Digital Algorithmic Nudging for Personalized Health. | Jodi Chiam, Aloysius Lim, Ankur Teredesai |
| 2024 | Enhancing Contrastive Learning on Graphs with Node Similarity. | Hongliang Chi, Yao Ma |
| 2024 | Cluster-Wide Task Slowdown Detection in Cloud System. | Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng |
| 2024 | Can a Deep Learning Model be a | Jintai Chen, Jiahuan Yan, Qiyuan Chen, Danny Z. Chen, Jian Wu, Jimeng Sun |
| 2024 | MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge. | Yuning Chen, Kang Yang, Zhiyu An, Brady Holder, Luke Paloutzian, Khaled M. Bali, Wan Du |
| 2024 | Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2024 | Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift. | Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu |
| 2024 | Health Day: Building Health AI Ecosystem: From Data Harmonization to Knowledge Discovery. | Jake Y. Chen, Peipei Ping |
| 2024 | Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. | Ming Chen, Weike Pan, Zhong Ming |
| 2024 | Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. | Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma |
| 2024 | RareBench: Can LLMs Serve as Rare Diseases Specialists? | Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen |
| 2024 | Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. | Daoyuan Chen, Yaliang Li, Bolin Ding |
| 2024 | QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. | Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung |
| 2024 | Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction. | Zhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou |
| 2024 | Conformal Counterfactual Inference under Hidden Confounding. | Zonghao Chen, Ruocheng Guo, Jean-Francois Ton, Yang Liu |
| 2024 | Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. | Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li |
| 2024 | Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. | Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin |
| 2024 | A Hierarchical Context Augmentation Method to Improve Retrieval-Augmented LLMs on Scientific Papers. | Tian-Yi Che, Xian-Ling Mao, Tian Lan, Heyan Huang |
| 2024 | Harm Mitigation in Recommender Systems under User Preference Dynamics. | Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis |
| 2024 | Path-based Explanation for Knowledge Graph Completion. | Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li |