| 2026 | ACL | Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models. | Teng Wang, Zhangyi Jiang, Zhenqi He, Hailei Gong, Shenyang Tong, Wenhan Yang, Zeyu Li, Yanan Zheng, Zifan He, Zewen Ye, Shengjie Ma, Jianping Zhang |
| 2025 | ACL | BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving. | Teng Wang, Wing Yin Yu, Zhenqi He, Zehua Liu, HaileiGong HaileiGong, Han Wu, Xiongwei Han, Wei Shi, Ruifeng She, Fangzhou Zhu, Tao Zhong |
| 2025 | COLING | Large Language Models are good multi-lingual learners : When LLMs meet cross-lingual prompts. | Teng Wang, Zhenqi He, Wing-Yin Yu, Xiaojin Fu, Xiongwei Han |
| 2025 | CVPR | Hyperbolic Category Discovery. | Yuanpei Liu, Zhenqi He, Kai Han |
| 2024 | AIME | Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model. | Chong Wang, Zhenqi He, Junjun He, Jin Ye, Yiqing Shen |
| 2024 | MICCAI | LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration Framework. | Zhenqi He, Wenrui Liu, Minghao Yin, Kai Han |
| 2023 | MICCAI | Artifact Restoration in Histology Images with Diffusion Probabilistic Models. | Zhenqi He, Junjun He, Jin Ye, Yiqing Shen |
| 2023 | MICCAI | TransNuSeg: A Lightweight Multi-task Transformer for Nuclei Segmentation. | Zhenqi He, Mathias Unberath, Jing Ke, Yiqing Shen |