Liqiang Jing

Applied Scientist Intern at Amazon Web Services (AWS)

Plano, Texas, United States
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Summary

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Senior
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Top School
Liqiang Jing is a PhD student and research assistant in Computer Science at UT Dallas with eight years of experience across academic and industry research in multimodal AI and NLP. He has interned at leading organizations including AWS Bedrock, Tencent AI Lab, and Alibaba Damo Academy, contributing to multimodal robustness, visual reasoning via a novel RL method, sign language generation, and stylized data-to-text summarization. As a teaching assistant and research advisor for TensorStax, he bridges rigorous research with mentorship and applied development. His work emphasizes improving multimodal model consistency and evaluation—an area where he has proposed practical reinforcement-learning approaches to boost reasoning. Based in Plano, Texas, he combines strong academic training from Hefei University of Technology and Shandong University with hands-on production-facing research experience. Less obvious: he alternates deep algorithmic work with applied benchmarking projects, making him adept at turning research ideas into measurable system improvements.
code8 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Dallas
bookMaster's degree, Computer Technology/Computer Systems Technology, Master's degree, Computer Technology/Computer Systems Technology at Shandong University
bookBachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at Hefei University of Technology
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Github Skills (50)

benchmark9
language-model8
code-generation8
text-summarization8
gitee7
cli7
sentiment-analysis6
rpa6
natural-language-processing6
multimodal6
benchmarking6
large-language-models6
keyword-extraction6
reinforcement-learning6
chatbot5

Programming languages (4)

PDDLJupyter NotebookMATLABPython

Github contributions (5)

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Contributions:460 pushes, 1 branch in 4 years 11 months
bcdnlp/FAITHSCORE

Oct 2023 - Nov 2025

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
Contributions:1 PR, 18 pushes, 1 branch in 2 years 1 month
language-modelevaluation-metricsfaithfulnesshallucinationmultimodal-large-language-models
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