“Inside of every problem lies an opportunity.”
“每个问题之中，都蕴藏着机会。”
—— Robert Kiyosaki—— 罗伯特·清崎
I am a postgraduate in College of Computer Science & Software Engineering at Hohai University.
I am honored to be under the guidance of Shen-Huan Lyu.
Before that, I received my B.Sc. degree from the School of Computer Engineering in Nanjing Institute of Technology in Jun.2024.
My research interest includes deep ensemble learning in the weakly-supervised environment. Currently, my work mainly focuses on deep forest, trying to apply them in the weakly-supervised environment.
At the same time, I am also exploring weakly-supervised fine-tuning and alignment within Large Language Models (LLMs), attempting to reduce human intervention during the fine-tuning and alignment processes.
🔥 News
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2026.5: 🎉🎉 Our paper “A Semi-Supervised Deep Forest Framework Based on Margin Distribution Optimization for Tabular Data” is accepted by Information Sciences(INS)
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2026.4: 🎉🎉 Our paper “Enhance and Reuse: A Dual-Mechanism Approach to Boost Deep Forest for Label Distribution Learning” is accepted by Pattern Recognition(PR)
📝 Publications
- [INS 2026] A semi-supervised deep forest framework based on margin distribution optimization for tabular data [paper] [bib]
Shen-Huan Lyu, Jia-Le Xu, Yi-Xiao He#, Yanyan Wang, Baoliu Ye, and Qingfu Zhang. (# indicates correspondence.)
Information Sciences, 752:123615, 2026. (CCF B, CAS Q2)
🎖 Honors and Awards
📖 Educations
- 2024.09 - now, MA.Sc. in Electronic & Information Engineering, Hohai University (HHU).
- 2020.09 - 2024.06, B.Sc. in Big Data, Nanjing Institute of Technology (NJIT)
💬 Invited Talks
💻 Internships
- 2025.07 - now, Algorithm Intern in Nanjing TDH Technology Co.,Ltd., China.