Langzhou He — accepted AI-conference papers

2026

RECODE: A Benchmark for Research Code DEvelopment with Interactive Human Feedback

Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang +23

ICLR 2026poster

Large language models (LLMs) show the promise in supporting scientific research implementation, yet their ability to generate correct and executable code remains limited. Existing works largely adopt one-shot settings, ignoring the iterative and feedback-driven nature of realistic workflows of scien…

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2025

SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning

Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu +2

ICML 2025poster

Diffusion probabilistic models (DPMs) have recently demonstrated impressive generative capabilities. There is emerging evidence that their sample reconstruction ability can yield meaningful representations for recognition tasks. In this paper, we demonstrate that the objectives underlying generation…

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