Derek Zhiyuan Cheng
Google (United States)(US)
Publications by Year
Research Areas
Recommender Systems and Techniques, Topic Modeling, Data Stream Mining Techniques, Advanced Graph Neural Networks, Multimodal Machine Learning Applications
Most-Cited Works
- → Self-supervised Learning for Large-scale Item Recommendations(2021)221 cited
- → Sampling-bias-corrected neural modeling for large corpus item recommendations(2019)203 cited
- → Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations(2020)127 cited
- → A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation(2021)91 cited
- → Learning to Embed Categorical Features without Embedding Tables for Recommendation(2021)46 cited
- → Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems(2020)36 cited
- Self-supervised Learning for Deep Models in Recommendations.(2020)
- → Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction(2023)24 cited
- → Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)(2023)23 cited