| 2026 | ACL | Are Large Language Models Reliable Reviewers? A Benchmark for Error Detection in Financial Documents. | Ying He, Zhouhong Gu, Zhecheng Hu, Yubo Zhou, Hao Shen, Jiaqing Liang, Zhaoqian Dai, Ma Shuguang, Fei Yu, Yanghua Xiao, Zhixu Li |
| 2026 | KDD | Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization. | Haoran Zheng, Renchi Yang, Yubo Zhou, Jianliang Xu |
| 2025 | MICCAI | TEGDA: Test-Time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation. | Yubo Zhou, Jianghao Wu, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang |
| 2024 | AAAI | Efficient Lightweight Image Denoising with Triple Attention Transformer. | Yubo Zhou, Jin Lin, Fangchen Ye, Yanyun Qu, Yuan Xie |
| 2024 | CogSci | CogSimulator: A Model for Simulating User Cognition & Behavior with Minimal Data for Tailored Cognitive Enhancement. | Weizhen Bian, Yubo Zhou, Yuanhang Luo, Ming Mo, Siyan Liu, Yikai Gong, Ziyuan Luo, Aobo Wang, Renjie Wan |
| 2024 | KSEM | IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model. | Weizhen Bian, Siyan Liu, Yubo Zhou, Dezhi Chen, Yijie Liao, Zhenzhen Fan, Aobo Wang |
| 2023 | MICCAI | Brain Tumor Segmentation Based on Self-supervised Pre-training and Adaptive Region-Specific Loss. | Yubo Zhou, Lanfeng Zhong, Guotai Wang |