Jin Huang
Scholar

Jin Huang

Google Scholar ID: B1eRTV4AAAAJ
Marie Curie Fellow @ University of Cambridge; previous postdoc @University of Amsterdam
trustworthy AIadvice-giving systemssocial roboticsLLMsreinforcement learning
Citations & Impact
All-time
Citations
1,036
 
H-index
10
 
i10-index
10
 
Publications
17
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • 2024: 'Revisiting Language Models in Neural News Recommender Systems', ECIR.
  • 2024: 'Going beyond popularity and positivity bias: Correcting for multifactorial bias in recommender systems', SIGIR.
  • 2023: 'Repetition and Exploration in Offline Reinforcement Learning-based Recommendations', DRL4IR@CIKM workshop.
  • 2022: 'State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study', SIGIR.
  • 2022: 'It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences are Dynamic', WSDM.
  • 2020: 'Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems', RecSys.
  • 2019: 'KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems', Data Intelligence.
  • 2019: 'Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation', WSDM.
  • 2018: 'Improving sequential recommendation with knowledge-enhanced memory networks', SIGIR.
  • 2016: 'Learning Distributed Representations for Recommender Systems with a Network Embedding Approach', AIRS.