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Zhengyi Yang

Zhengyi Yang

杨正一

School of Cyber Science and Technology

Zhengyi Yang is a 4th-year PhD student in LDS, under the supervision of Prof. Xiangnan He and Prof. Xiang Wang. His research interests include recommender system and generative models.

Interests
  • Recommender System
  • Generative Models
Education
  • BEng, 2016-2020

    University of Science and Technology of China

Latest

  • A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
  • Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
  • On Softmax Direct Preference Optimization for Recommendation
  • β-DPO: Direct Preference Optimization with Dynamic β
  • Large Language-Recommendation Assistant
  • Item-side Fairness of Large Language Model-based Recommendation System
  • Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
  • A Generic Learning Framework for Sequential Recommendation with Distribution Shifts

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