| 2025 | KDD 2025 Workshop on Prompt Optimization. | Haibo Ding, Shuai Wang, Kiran Ramnath, Yi Zhang, Lin Lee Cheong |
| 2025 | Personalized Language Model Learning on Text Data Without User Identifiers. | Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu, Guihai Chen |
| 2025 | Enhancing Microservices Anomaly Detection via Multimodal Data Fusion in the Wavelet Domain and Spatiotemporal Graph-based Diffusion Probabilistic Model. | Kaiqi Ding, Yuanmu Ma, Zijian Song, Kaigui Bian |
| 2025 | WikiRAG: Revisiting Wikidata KGC Datasets with Community Updates and Retrieval-Augmented Generation. | Djellel Eddine Difallah |
| 2025 | Differentially Private Synthetic Data Release for Topics API Outputs. | Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Andrs Muoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong |
| 2025 | Error Bounds for the Network Scale-Up Method. | Sergio Daz-Aranda, Juan Marcos Ramirez, Mohit Daga, Jaya Prakash Champati, Jose Aguilar, Rosa E. Lillo, Antonio Fernndez Anta |
| 2025 | Boost the Performance of Tabular Data Models with GPU Accelerated Feature Engineering. | Chris Deotte, Ronay Ak |
| 2025 | Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus. | Bangchao Deng, Xin Jing, Tianyue Yang, Bingqing Qu, Dingqi Yang, Philippe Cudr-Mauroux |
| 2025 | Marionette: Fine-Grained Conditional Generative Modeling of Spatiotemporal Human Trajectory Data Beyond Imitation. | Bangchao Deng, Ling Ding, Lianhua Ji, Chunhua Chen, Xin Jing, Bingqing Qu, Dingqi Yang |
| 2025 | CompilerDream: Learning a Compiler World Model for General Code Optimization. | Chaoyi Deng, Jialong Wu, Ningya Feng, Jianmin Wang, Mingsheng Long |
| 2025 | TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation. | Bowen Deng, Chang Xu, Hao Li, Yu-Hao Huang, Min Hou, Jiang Bian |
| 2025 | Fair Set Cover. | Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, Abolfazl Asudeh |
| 2025 | Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks. | Mohsen Dehghankar, Abolfazl Asudeh |
| 2025 | FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images. | Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao |
| 2025 | A Unified Online-Offline Framework for Co-Branding Campaign Recommendations. | Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui |
| 2025 | PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection. | Enyan Dai, Minhua Lin, Suhang Wang |
| 2025 | Cross-Platform Online Team Formation in Spatial Crowdsourcing. | Xiaoxi Cui, Yurong Cheng, Xiangmin Zhou, Yongjiao Sun |
| 2025 | International Workshop on Online and Adaptive Recommender Systems (OARS 2025). | Xiquan Cui, Derek Zhiyuan Cheng, Fei Liu, Tao Ye, Julian J. McAuley, Vachik S. Dave, Stephen Guo |
| 2025 | Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method. | Guanyu Cui, Hanzhi Wang, Zhewei Wei |
| 2025 | ArnoldiGCL: Graph Contrastive Learning via Learnable Arnoldi-Based Guided Spectral Chebyshev Polynomial Filters. | Mustafa Coskun, Abdelkader Baggag, Mehmet Koyutrk |
| 2025 | Synthetic Tabular Data: Methods, Attacks and Defenses. | Graham Cormode, Samuel Maddock, Enayat Ullah, Shripad Gade |
| 2025 | Engagement-Driven Content Generation with Large Language Models. | Erica Coppolillo, Federico Cinus, Marco Minici, Francesco Bonchi, Giuseppe Manco |
| 2025 | Empirical Bayes Selection for Value Maximization. | Dominic Coey, Kenneth Hung |
| 2025 | AI for Supply Chain: Today and Future. | Ranak Roy Chowdhury, Yan Liu, Huiming Qu, Qingsong Wen, Chen-Yu Lee, Narendra Agrawal, Alexis Roos |
| 2025 | Evaluating Decision Rules Across Many Weak Experiments. | Winston Chou, Colin Gray, Nathan Kallus, Aurlien Bibaut, Simon Ejdemyr |