Nanjing University
Incoming Ph.D. student, continuing research on large language models and intelligent interaction.
Research
Reasoning, agents, and intelligent interaction.
I work toward LLM-driven systems that can reason reliably, interact with digital environments, and support scientific discovery and healthcare.
Experience
Where I have been learning and building.
Shanghai AI Laboratory
Research internship focused on advanced AI systems.
Southern University of Science and Technology
M.S. in Engineering. Advised by Prof. Min Yang and Prof. Yinghuan Shi.
Publications
Selected publications and ongoing directions.
MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models
ICML 2026 · International Conference on Machine Learning
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BibTeX
@article{hu2025monica,
title={MONICA: Real-Time Monitoring and Calibration of Chain-of-Thought Sycophancy in Large Reasoning Models},
author={Hu, Jingyu and Yang, Shu and Gong, Xilin and Wang, Hongming and Liu, Weiru and Wang, Di},
journal={arXiv preprint arXiv:2511.06419},
year={2025}
}
BrainSegDMIF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
* Equal contribution (co-first authors).
ACM MM 2025 · ACM International Conference on Multimedia
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BibTeX
@inproceedings{wang2025brainsegdmif,
title={BrainSegDMIF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation},
author={Wang, Hongming and Wu, Yifeng and Huang, Huimin and Wu, Hongtao and Jiang, Jiaxuan and Zhang, Xiaodong and Zheng, Hao and Huang, Yawen and Wu, Xian and Zheng, Yefeng and others},
booktitle={Proceedings of the 33rd ACM International Conference on Multimedia},
pages={1520--1529},
year={2025},
note={Hongming Wang and Yifeng Wu contributed equally}
}