Haoqin Tu
PhD Candidate
California, United States
Summary
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RockstarHaoqin Tu is a PhD candidate at UC Santa Cruz with six years of experience focused on NLP, controllable text generation, and multimodal intelligence. Based in California, Haoqin blends academic rigor with practical research, exploring matrix tricks and other mathematical techniques to improve model controllability and efficiency. Their work sits at the intersection of language and vision, aiming to make generative models more predictable and useful in real-world settings. Curious and methodical, Haoqin brings a research-first mindset that emphasizes reproducibility and novel, often underappreciated, linear-algebra approaches to model design.
6 years of coding experience
Github Skills (62)
representation-learning10
evaluation10
multimodal-deep-learning10
variational-autoencoder10
vision-framework10
transparency10
vision-and-language10
adapter10
foundation-models10
lora10
nlp10
arxiv10
pre-trained-model9
transformers9
text-generation9
Programming languages (3)
Github contributions (5)
ImKeTT/Low-rank_Matrix-completion
Jul 2019 - Jun 2020
Contributions:16 commits, 10 pushes, 1 branch in 11 months
ImKeTT/helm
Mar 2024 - Mar 2025
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in Holistic Evaluation of Text-to-Image Models (HEIM) (https://arxiv.org/abs/2311.04287).
Contributions:104 pushes, 48 branches in 1 year
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