Applications

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research EMNLP 2024 Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights AAAI 2024 Enhancing High-order Interaction Awareness in LLM-based Recommender Model EMNLP 2024 Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024 Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction EMNLP 2024 Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs EMNLP 2024 Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning AAAI 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy AAAI 2024 Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach IJCAI 2024 Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data AAAI 2024 Estimating Unknown Population Sizes Using the Hypergeometric Distribution ICML 2024 Ethical thematic and topic modelling analysis of sleep concerns in a social media derived suicidality dataset EACL 2024 Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024 Evidence Retrieval is almost All You Need for Fact Verification ACL 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Expected Probabilistic Hierarchies NeurIPS 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024 Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics ICML 2024 Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals PGM 2024 Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations AAAI 2024 Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning AAAI 2024 FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System AAAI 2024 Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks AAAI 2024 Fair k-center Clustering with Outliers AISTATS 2024 Fair Soft Clustering AISTATS 2024