Qihua Dong's
I am currently a PhD at Northeastern University, Boston. I graduated from City University of Hong Kong with a major in computer science and a minor in math.
My research interests focus on reasoning and visual understanding in (M)LLMs, including reinforcement learning and tool-use agents. My prior experience spans multimodal LLMs, image segmentation, and medical image analysis.
ps: You may reach me by email, twitter or github. Welcome to collaborate!
News
| Apr 2026 | Two papers accepted at ACL 2026: a Findings paper on a hierarchical visual agent with compact visual/text context for chart reasoning, and a Main Conference survey on thinking with images. |
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| Mar 2026 | Our Amazon work, Visual Reasoning through Tool-supervised Reinforcement Learning, was accepted to CVPR 2026 Findings and is now available on arXiv. If you find it interesting, feel free to upvote it on Hugging Face Papers. |
| Mar 2026 | The code and data for our ICLR 2026 paper Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks are released at ref-adv.github.io. |
| Feb 2026 | Our new preprint Fine-T2I is released: Fine-T2I: An Open, Large-Scale, and Diverse Dataset for High-Quality T2I Fine-Tuning. The dataset is available on HuggingFace and was trending #1 in datasets! |
| Jan 2026 | One paper accepted at ICLR 2026: Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks! |
Projects
The authors with * contributed equally to the work-
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IEEE Transactions on Medical Imaging, 2023
