Jing Zhang
Scholar

Jing Zhang

Google Scholar ID: T7Wa3GQAAAAJ
Renmin University of China
large model alignmentmodel compression & inference optimizationdata intelligence
Citations & Impact
All-time
Citations
9,588
 
H-index
34
 
i10-index
59
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - A Multi-Agent Collaborative Framework for Database Konb Tuning. (SIGMOD'26)
  • - Hidden Question Representations Tell Non-Factuality Within and Across Large Language Models. (EMNLP'25)
  • - A Query Optimization Method Utilizing Large Language Models. (arXiv:2503.06902)
  • - LLMIdxAdvis: Resource-Efficient Index Advisor Utilizing Large Language Model. (arXiv:2503.07884)
  • - E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model. (VLDB'26)
  • - OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale. (VLDB'25)
  • - Dynamic Scaling of Unit Tests for Code Reward Modeling. (ACL'25)
  • - VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering. (arXiv:2503.06492)
  • - LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model. (arXiv:2501.08582)
  • - SAM Decoding: Speculative Decoding via Suffix Automaton. (ACL'25)
  • - P^2Law: Scaling Law for Post-Training After Model Pruning. (ACL'25)
Research Experience
  • Professor at the School of Information, Renmin University of China
Education
  • Ph.D. in Computer Science and Technology, Tsinghua University, supervised by Professor Jie Tang and Professor Juanzi Li
Background
  • Research Interests: Data mining and knowledge discovery, with a focus on tailoring large language models (LLMs) for structured data processing. Specific research areas include model alignment methods (such as data synthesis and learning from human-AI feedback), model compression techniques, and efficient inference methods.
Miscellany
  • Personal Interests: Looking for highly-motivated students to work with