Yong Liu (刘勇)
Scholar

Yong Liu (刘勇)

Google Scholar ID: vVhmzbAAAAAJ
Renmin University of China
Machine LearningLarge Language Model (LLM)
Citations & Impact
All-time
Citations
2,645
 
H-index
25
 
i10-index
60
 
Publications
20
 
Co-authors
12
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published over 100 high-level papers, including more than 60 as first or corresponding author, covering top journals such as NC, TIT, JMLR, TPAMI, AI, and top conferences like ICML, NeurIPS, ICLR, etc.
  • Received the title of 'Young Innovation Promotion Association' member (CAS talent) and 'Excellent Talent Introduction' by the Institute of Information Engineering, Chinese Academy of Sciences.
  • Led multiple research fund projects, including National Natural Science Foundation of China (NSFC) Youth/General, Key R&D programs, Beijing key projects, etc.
  • Some academic papers:
  • - Chemical knowledge-informed framework for privacy-aware retrosynthesis learning, Nature Communications, 2025
  • - Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot, ENNLP 2025
  • - Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning, ENNLP 2025
  • - SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin, ENNLP 2025
  • - Exploring the Limitations of Mamba in COPY and CoT Reasoning, ENNLP 2025
  • - Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL, ACL 2025
  • - Towards Reward Fairness in RLHF: From a Resource Allocation Perspective, ACL 2025
  • - The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models, ACL 2025
  • - Do not Abstain! Identify and Solve the Uncertainty, ACL 2025
  • - Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization, IJCAI 2025
  • - Towards Improved Risk Bounds for Transductive Learning, IJCAI 2025
  • - Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning, ICML 2025
  • - Understanding Model Ensemble in Transferable Adversarial Attack, ICML 2025
Research Experience
  • Associate Professor, Gaoling School of Artificial Intelligence, Renmin University of China, August 2024 - present
  • Assistant Professor (tenure-track), Gaoling School of Artificial Intelligence, Renmin University of China, July 2021 - August 2024
  • Assistant Professor (non-tenure track), Gaoling School of Artificial Intelligence, Renmin University of China, August 2020 - July 2021
  • Associate Researcher, Institute of Information Engineering, Chinese Academy of Sciences, October 2018 - July 2020
  • Assistant Researcher, Institute of Information Engineering, Chinese Academy of Sciences, July 2016 - October 2018
Background
  • Tenured Associate Professor at Renmin University of China, doctoral supervisor, and national high-level young talent. Engaged in machine learning research, particularly focusing on large model mechanism analysis, reinforcement reasoning, and statistical machine learning.
Miscellany
  • Personal interests and hobbies not mentioned