Co-authors
1
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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!