MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. - Linyan Yang; Lukas Hoyer; Mark Weber; Tobias Fischer 004; Dengxin Dai; Laura Leal-Taixé; Marc Pollefeys; Daniel Cremers; Luc Van Gool (ECCV (39), 2024)

Advancing Cross-Lingual Entity Alignment with Large Language Models: Tailored Sample Segmentation and Zero-Shot Prompts. - Linyan Yang; Jingwei Cheng; Fu Zhang 001 (EMNLP (Findings), 2024)

Attr-Int: A Simple and Effective Entity Alignment Framework for Heterogeneous Knowledge Graphs. - Linyan Yang; Jingwei Cheng; Chuanhao Xu; Xihao Wang; Jiayi Li; Fu Zhang 001 (ICASSP, 2024)

EasyEA: Large Language Model is All You Need in Entity Alignment Between Knowledge Graphs. - Jingwei Cheng; Chenglong Lu; Linyan Yang; Guoqing Chen; Fu Zhang 001 (ACL (Findings), 2025)

DAEA: Enhancing Entity Alignment in Real-World Knowledge Graphs Through Multi-Source Domain Adaptation. - Linyan Yang; Shiqiao Zhou; Jingwei Cheng; Fu Zhang 001; Jizheng Wan; Shuo Wang; Mark Lee (COLING, 2025)