Yingqiang Ge
Rutgers, The State University of New Jersey(US)Amazon (United States)(US)
Publications by Year
Research Areas
Recommender Systems and Techniques, Topic Modeling, Explainable Artificial Intelligence (XAI), Advanced Graph Neural Networks, Advanced Bandit Algorithms Research
Most-Cited Works
- → Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)(2022)390 cited
- → User-oriented Fairness in Recommendation(2021)204 cited
- → Fairness-Aware Explainable Recommendation over Knowledge Graphs(2020)189 cited
- → Towards Long-term Fairness in Recommendation(2021)188 cited
- → Towards Personalized Fairness based on Causal Notion(2021)132 cited
- → Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning(2022)86 cited
- → CAFE(2020)83 cited
- → Fairness in Recommendation: Foundations, Methods, and Applications(2023)79 cited
- → Path Language Modeling over Knowledge Graphsfor Explainable Recommendation(2022)78 cited
- → OpenAGI: When LLM Meets Domain Experts(2023)76 cited