Scholar
Yiqiao Jin
Google Scholar ID: eY85qm4AAAAJ
Georgia Institute of Technology
LLM
Natural Language Processing
Data Mining
Computational Social Science
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Citations & Impact
All-time
Citations
914
H-index
16
i10-index
21
Publications
20
Co-authors
24
list available
Contact
Email
yjin328@gatech.edu
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Publications
25 items
Can Language Models Learn to Reject Their Own Bad Reasoning Steps?
2026
Cited
0
Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems
2026
Cited
0
From Knowledge Access to Source Learning: Developing Source-Specific Competence
2026
Cited
0
Maximum Likelihood Estimation for Entity Ranking under Iterative Synthetic Data Augmentation
2026
Cited
0
MM-BizRAG: Rethinking Multimodal Retrieval-Augmented Generation for General Purpose Enterprise Q&A
2026
Cited
0
TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
2026
Cited
0
UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
2026
Cited
0
AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
2026
Cited
0
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Resume
Academic Achievements
- Published 20+ top-tier papers
- Microsoft Research “Star of Tomorrow” Award
- Roblox Graduate Fellowship Finalist
- UCLA Dean’s Honor List (5 times)
- Works featured in Scientific American and The World
Research Experience
- Graduate Research Assistant, Georgia Institute of Technology, August 2022 – Present
- Research Intern, J.P. Morgan AI Research, June 2025 – August 2025
- Research Collaborator, Visa Research, September 2024 – May 2025
- Research Intern, Adobe Inc., May 2024 – August 2024
- Research Intern, Microsoft Research Asia, December 2020 – July 2022
- Undergraduate Research Assistant, UCLA, June 2021 – June 2022
- Software Engineer Intern, Amazon, June 2020 – September 2020
Education
- Ph.D. in Computer Science, Georgia Institute of Technology
- B.S. in Computer Science, University of California, Los Angeles (UCLA)
Background
- CS Ph.D. student
- Research Interests: Large Language Models, Multimodal AI Models, Efficient AI, Data Mining, Graph Neural Networks
- Advisor: Prof. Srijan Kumar
Miscellany
- Worked in the Social Computing Group at Microsoft Research Asia, directed by Dr. Xing Xie, and mentored by Dr. Xiting Wang and Dr. Jindong Wang
- Worked as an undergraduate research assistant at Scalable Analytics Institute (ScAi) at UCLA, advised by Prof. Yizhou Sun and Prof. Wei Wang
Co-authors
18 total
Srijan Kumar
Assistant Professor, Computer Science, Georgia Tech
Yijia Xiao
University of California, Los Angeles
Xing Xie 谢幸
Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF Fellow
Jindong Wang
Assistant Professor, William & Mary; Ex Senior Researcher, Microsoft Research
Mohit Chandra
Georgia Institute of Technology
Xiting Wang
Associate Professor, Renmin University of China
Gaurav Verma
Microsoft
Yizhou Sun
Professor, Computer Science, UCLA