| 2026 | AAAI | Rectify Evaluation Preference: Improving LLMs' Critique on Math Reasoning via Perplexity-aware Reinforcement Learning. | Changyuan Tian, Zhicong Lu, Shuang Qian, Nayu Liu, Peiguang Li, Li Jin, Leiyi Hu, Zhizhao Zeng, Sirui Wang, Ke Zeng, Guozhi Cas |
| 2026 | ACL | LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance. | Yuchun Fan, Bei Li, Peiguang Li, Yilin Wang, Yongyu Mu, Jian Yang, Xin Chen, Rongxiang Weng, Jingang Wang, Xunliang Cai, JingBo Zhu, Tong Xiao |
| 2025 | COLING | LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation. | Keheng Wang, Feiyu Duan, Peiguang Li, Sirui Wang, Xunliang Cai |
| 2024 | EMNLP | Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal. | Zhicong Lu, Li Jin, Peiguang Li, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai |
| 2023 | ACL | Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task. | Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang |
| 2023 | RecSys | Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. | Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang |
| 2022 | IGARSS | Cross-Modal Remote Sensing Image Retrieval Via Intra- and Inter-Modal Feature Matching. | Fanglong Yao, Nayu Liu, Peiguang Li, Dongshuo Yin, Chenglong Liu, Xian Sun |
| 2019 | IGARSS | Thin and Thick Cloud Removal on Remote Sensing Image by Conditional Generative Adversarial Network. | Xiaoke Wang, Guangluan Xu, Yang Wang, Daoyu Lin, Peiguang Li, Xiujing Lin |