Zhankui He
Publications by Year
Research Areas
Recommender Systems and Techniques, Topic Modeling, Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning, Advanced Bandit Algorithms Research
Most-Cited Works
- → NAIS: Neural Attentive Item Similarity Model for Recommendation(2018)580 cited
- → Adversarial Personalized Ranking for Recommendation(2018)395 cited
- → MEAL: Multi-Model Ensemble via Adversarial Learning(2019)143 cited
- → Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders(2023)120 cited
- → Large Language Models as Zero-Shot Conversational Recommenders(2023)107 cited
- → A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)(2024)82 cited
- → Linear Recurrent Units for Sequential Recommendation(2024)60 cited
- → Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction(2021)56 cited
- → Locker: Locally Constrained Self-Attentive Sequential Recommendation(2021)52 cited
- → CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation(2024)25 cited