Summary
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.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at Dallas
Master's degree, Computer Technology/Computer Systems Technology, Master's degree, Computer Technology/Computer Systems Technology at Shandong University
Bachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at Hefei University of Technology