Yaochen Zhu
Scholar

Yaochen Zhu

Google Scholar ID: mNKYtHEAAAAJ
University of Virginia
Reinforcement LearningLarge Foundation ModelsConversational Agents
Citations & Impact
All-time
Citations
854
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Multiple papers accepted at top conferences including NeurIPS 2025, EMNLP 2025, KDD 2025, ICML 2025, ICLR 2025, WWW 2025
  • - Received several fellowships, including 2025 UVA Rookie of the Year Fellowship, 2024 UVA SEAS Endowed Fellowship, Wilson Bicentennial Grad Fellowship
  • - Best paper award at KDD 2025 GenAIRecP workshop for the paper 'LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience'
Research Experience
  • - Contributed to key components in various industrial-level LLM-based foundation models at Netflix and LinkedIn
  • - Worked as a machine learning research intern at Netflix Inc. (Summer'24)
Education
  • - Ph.D. candidate at the University of Virginia (UVA), advised by Prof. Jundong Li
  • - Master's degree from IIP Lab, Wuhan University, advised by Prof. Zhenzhong Chen
Background
  • - Research Interests: Building reliable, controllable, and efficient large language models (LLMs), with a focus on post-training & RL alignment, reasoning, RAG, and mechanistic interpretability
  • - Professional Field: Causal inference & deep probabilistic models to improve the robustness of machine learning
Miscellany
  • - Actively seeking industrial R&D opportunities, including internships (Spring/Summer 2026) and full-time positions (2026)
Co-authors
0 total
Co-authors: 0 (list not available)