About Me

I will join the M.S. program in Electrical and Computer Engineering at Carnegie Mellon University in Spring 2027.

I am interested in how models learn from language and vision, and how to make their behavior more reliable. My work so far includes language model interpretability, retrieval-based code completion, and multimodal learning.

I hope to pursue a Ph.D. and am looking for research collaborations and mentorship.

Research Interests

• Multimodal Large Language Models
• Computer Vision
• Reinforcement Learning
• Reliable Large Language Models

I am also interested in exploring world models and language model agents.

Selected Publications

1. Position: Multimodal LLMs Should Learn from Children.
   Yifan Shen, Chuanmiao Dong, Zhuoqing Zhong, Pei Tian, Tianjiao Yu, Jiateng Liu, Bowen Fang, Xinzhuo Li, Yuanzhe Liu, Zhengyuan Li, Chen Fang, Xu Cao.
   CVPR Workshops (CV4CHL), 2026, pp. 5619–5630.

   A position paper on task formation, supervision inference, and continual growth in multimodal models.

   PDF · Workshop
2. Improving Negative Rejection Ability in Language Models: A Review of Fine-Tuned LLMs, RAG, and RAFT.
   Bowen Li*, Zhuoqing Zhong*, Hengyu Zhang, Xubin Sun, Baha Ihnaini.
   Journal of King Saud University Computer and Information Sciences, 2026.

   A review of fine-tuning and retrieval-based approaches to rejection behavior and reliability.

   PDF · DOI
3. Data-driven prediction of soccer outcomes using enhanced machine and deep learning techniques.
   Ebenezer Fiifi Emire Atta Mills*, Zihui Deng*, Zhuoqing Zhong*, Jinger Li.
   Journal of Big Data, 2024.
   PDF · DOI
4. Evaluating Mild Cognitive Impairment Using Large Language Models: A Comparative Analysis.
   Baha Ihnaini, Wei Liu, Zhuoqing Zhong (co-first author), Zihui Deng, Jiayi Xu, Ruoling Zhao.
   Submitted to Acta Pharmacologica Sinica

   Comparing prompting and model adaptation for speech- and text-based cognitive screening.

* Equal contribution.

Experience

Research Intern

Token-level attribution for language models using LRP and DeepLIFT.

Contact

I can be reached by email at zhuoqinz@andrew.cmu.edu. I welcome conversations about research collaboration and mentoring, including remote opportunities.