Data Science & Analytics

Endogenous Recovery via Within-modality Prototypes for Incomplete Multimodal Hashing IJCAI 2025 End-to-End Aspect-Guided Review Summarization at Scale EMNLP 2025 Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation IJCNLP 2025 Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis IJCNLP 2025 Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning AAAI 2025 Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling IJCAI 2025 Enhancing Sequential Recommendation with Global Diffusion AAAI 2025 Ensemble Learned Bloom Filters: Two Oracles are Better than One ICML 2025 ENSUR: Equitable and Statistically Unbiased Recommendation ICML 2025 Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction AAAI 2025 ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation ACL 2025 ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems AAAI 2025 Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk Appetite? EMNLP 2025 Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media EMNLP 2025 Evaluating Sampling Strategies for Similarity-Based Short Answer Scoring: a Case Study in Thailand COLING 2025 Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval EMNLP 2025 Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context AAAI 2025 Experimentation under Treatment Dependent Network Interference UAI 2025 Explainable Dynamic Graph Neural Networks for Predictive Maintenance in Vehicle Chassis Systems ACML 2025 Exploring One Million Machine Learning Pipelines: A Benchmarking Study AutoML 2025 Exploring Representations and Interventions in Time Series Foundation Models ICML 2025 Exploring Unified Training Framework for Multimodal User Profiling COLING 2025 External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection AAAI 2025 FactDebug at SemEval-2025 Task 7: Hybrid Retrieval Pipeline for Identifying Previously Fact-Checked Claims Across Multiple Languages SemEval 2025 FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems ICML 2025