Scholar
Yifan Yang
Google Scholar ID: PX2IQxsAAAAJ
University of California, Santa Barbara
LLM/VLM Post-training
Efficiency
Agentic AI
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
143
H-index
6
i10-index
6
Publications
13
Co-authors
1
list available
Contact
CV
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
13 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications:
- SharpZO work accepted at NeurIPS 2025
- Internship paper on LLM pruning highlighted on Amazon Science
- AdaZeta paper accepted by EMNLP 2024
- LoRETTA paper selected as an oral presentation (top 5%) at NAACL 2024
- PID Control-Based Self-Healing paper accepted by TMLR
- Two papers on LLM pruning and parameter-efficient federated fine-tuning accepted to ACL 2025 Findings
- Preprints:
- FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression
- A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels
- Particle-based Online Bayesian Sampling (submitted to TMLR)
Research Experience
- Applied Scientist Intern at AWS Agentic AI (June 2025 - Sep 2025): Enhancing the planning capabilities of multimodal AI agents
- Applied Scientist Intern at Amazon AGI (June 2024 - Sep 2024): Working on inference speed-up of large-scale LLMs
Education
- PhD: Department of Computer Science, University of California, Santa Barbara (UCSB), in progress
- MS: Department of Computer Science, University of California, Santa Barbara (UCSB)
- B.E.: Electronic and Information Engineering, Huazhong University of Science and Technology (HUST), China
Background
- Research Interests: Text and multimodal large language models (LLMs), including post-training, model compression, and multimodal AI agents
- Field: Computer Science, Natural Language Processing
- Bio: PhD candidate in the Department of Computer Science at UC Santa Barbara (UCSB), funded by Amazon AGI to work on LLM efficiency
Miscellany
- Actively looking for full-time opportunities starting in Summer 2026!
Co-authors
1 total
Zheng Zhang
Professor of ECE, UCSB
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up