Qihua Dong

According to our database, Qihua Dong authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning.

Qihua Dong, Ruozhen He, Junwen Chen, Yizhou Wang, Xu Ma, Songyao Jiang, Yun Fu

CoRR, May, 2026

Visual Reasoning through Tool-supervised Reinforcement Learning.

Qihua Dong, Gozde Sahin, Pei Wang, Zhaowei Cai, Robik Shrestha, Hao Yang, Davide Modolo

CoRR, April, 2026

Beyond Referring Expressions: Scenario Comprehension Visual Grounding.

Ruozhen He, Nisarg A. Shah, Qihua Dong, Zilin Xiao, Jaywon Koo, Vicente Ordonez

CoRR, April, 2026

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks.

Qihua Dong, Kuo Yang, Lin Ju, Handong Zhao, Yitian Zhang, Yizhou Wang, Huimin Zeng, Jianglin Lu, Yun Fu

CoRR, February, 2026

Fine-T2I: An Open, Large-Scale, and Diverse Dataset for High-Quality T2I Fine-Tuning.

Xu Ma, Yitian Zhang, Qihua Dong, Yun Fu

CoRR, February, 2026

Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs.

Qihua Dong, Yitian Zhang, Huimin Zeng, Yizhou Wang, Jianglin Lu, Kuo Yang, Yun Fu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

TDFormer: Top-Down Token Generation for 3D Medical Image Segmentation.

Hao Du, Qihua Dong, Yan Xu, Jing Liao

IEEE J. Biomed. Health Informatics, December, 2025

CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning.

Qihua Dong, Luis Figueroa, Handong Zhao, Kushal Kafle, Jason Kuen, Zhihong Ding, Scott Cohen, Yun Fu

CoRR, October, 2025

Boosting Large Language Models with Mask Fine-Tuning.

Mingyuan Zhang, Yue Bai, Huan Wang, Yizhou Wang, Qihua Dong, Yun Fu

CoRR, March, 2025

Cautious Next Token Prediction.

Yizhou Wang, Lingzhi Zhang, Yue Bai, Mang Tik Chiu, Zhengmian Hu, Mingyuan Zhang, Qihua Dong, Yu Yin, Sohrab Amirghodsi, Yun Fu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2023

Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity.

Hao Du, Qihua Dong, Yan Xu, Jing Liao

IEEE Trans. Medical Imaging, October, 2023

Preserving Tumor Volumes for Unsupervised Medical Image Registration.

Qihua Dong, Hao Du, Ying Song, Yan Xu, Jing Liao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Weakly-Supervised Camouflaged Object Detection with Scribble Annotations.

Ruozhen He, Qihua Dong, Jiaying Lin, Rynson W. H. Lau

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023