Path Ranking Model for Entity Prediction. - Xiao Long; Minghong Yao; Liansheng Zhuang; Houqiang Li; Shafei Wang (ICME, 2021)

One-shot Key Information Extraction from Document with Deep Partial Graph Matching. - Minghong Yao; Zhiguang Liu; Liangwei Wang 004; Houqiang Li; Liansheng Zhuang (CoRR, 2021)

PMIVec: a word embedding model guided by point-wise mutual information criterion. - Minghong Yao; Liansheng Zhuang; Shafei Wang; Houqiang Li (Multim. Syst., 2022)

Graph Multi-dimensional Feature Network. - Minghong Yao; Haizheng Yu; Hong Bian (ICONIP (7), 2023)

Defending against adversarial attacks on graph neural networks via similarity property. - Minghong Yao; Haizheng Yu; Hong Bian (AI Commun., 2023)

Learning Label Dependencies for Visual Information Extraction. - Minghong Yao; Liansheng Zhuang; Houqiang Li; Jiuchang Wei (IJCAI, 2024)

A Robust Framework for One-Shot Key Information Extraction via Deep Partial Graph Matching. - Minghong Yao; Zhiguang Liu; Liansheng Zhuang; Liangwei Wang 004; Houqiang Li (IEEE Trans. Image Process., 2024)

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering. - Xiao Long; Liansheng Zhuang; Aodi Li; Minghong Yao; Shafei Wang (AAAI, 2025)

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes. - Aodi Li; Liansheng Zhuang; Xiao Long; Minghong Yao; Shafei Wang (CVPR, 2025)

Test-time Loss Landscape Adaptation for Zero-Shot Generalization in Vision-Language Models. - Aodi Li; Liansheng Zhuang; Xiao Long; Minghong Yao; Shafei Wang (CoRR, 2025)