Thin and Thick Cloud Removal on Remote Sensing Image by Conditional Generative Adversarial Network. - Xiaoke Wang; Guangluan Xu; Yang Wang 056; Daoyu Lin; Peiguang Li; Xiujing Lin (IGARSS, 2019)

SA-NLI: A Supervised Attention based framework for Natural Language Inference. - Peiguang Li; Hongfeng Yu; Wenkai Zhang; Guangluan Xu; Xian Sun (Neurocomputing, 2020)

1213Li at SemEval-2021 Task 6: Detection of Propaganda with Multi-modal Attention and Pre-trained Models. - Peiguang Li; Xuan Li; Xian Sun (SemEval@ACL/IJCNLP, 2021)

An enhanced dynamic interaction network for claim verification. - Peiguang Li; Xian Sun; Hongfeng Yu; Wenkai Zhang; Guangluan Xu (Neurocomputing, 2021)

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 (IGARSS, 2022)

Entity-Oriented Multi-Modal Alignment and Fusion Network for Fake News Detection. - Peiguang Li; Xian Sun; Hongfeng Yu; Yu Tian; Fanglong Yao; Guangluan Xu (IEEE Trans. Multim., 2022)

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 001; Hongzhi Zhang (ACL (Findings), 2023)

Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model. - Sirui Wang; Peiguang Li; Yunsen Xian; Hongzhi Zhang (RecSys, 2023)

Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering. - Keheng Wang; Feiyu Duan; Sirui Wang; Peiguang Li; Yunsen Xian; Chuantao Yin; Wenge Rong; Zhang Xiong 001 (CoRR, 2023)

Text-Image Matching for Cross-Modal Remote Sensing Image Retrieval via Graph Neural Network. - Hongfeng Yu; Fanglong Yao; Wanxuan Lu; Nayu Liu; Peiguang Li; Hongjian You; Xian Sun (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal. - Zhicong Lu; Li Jin 001; Peiguang Li; Yu Tian; Linhao Zhang; Sirui Wang; Guangluan Xu; Changyuan Tian; Xunliang Cai (EMNLP, 2024)

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 (COLING, 2025)

INSNER: A generative instruction-based prompting method for boosting performance in few-shot NER. - Peiwen Zhao; Chong Feng; Peiguang Li; Guanting Dong; Sirui Wang (Inf. Process. Manag., 2025)

Latent Distribution Decoupling: A Probabilistic Framework for Uncertainty-Aware Multimodal Emotion Recognition. - Jingwang Huang; Jiang Zhong; Qin Lei; Jinpeng Gao; Yuming Yang; Sirui Wang; Peiguang Li; Kaiwen Wei (CoRR, 2025)

Feature-Aware Malicious Output Detection and Mitigation. - Weilong Dong; Peiguang Li; Yu Tian; Xinyi Zeng; Fengdi Li; Sirui Wang (CoRR, 2025)

Real-Time Roadside 3-D Spatial Perception With LiDAR AIoT: An Edge-Cloud-Terminal Collaborative Sensing Prototype. - Wen Xiao; Peiguang Li; Miao Tang; Chengwen Song; Dianyu Yu; Hanlin Liu; Dong Chen; Nengcheng Chen (IEEE Internet Things J., 2025)