| 2026 | AAAI | Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration. | Ante Wang, Yujie Lin, Jingyao Liu, Suhang Wu, Hao Liu, Xinyan Xiao, Jinsong Su |
| 2026 | ACL | HCRE: LLM-based Hierarchical Classification for Cross-Document Relation Extraction with a Prediction-then-Verification Strategy. | Guoqi Ma, Liang Zhang, Hongyao Tu, Hao Fu, Hui Li, Yujie Lin, Longyue Wang, Weihua Luo, Jinsong Su |
| 2025 | ACL | Investigating Inference-time Scaling for Chain of Multi-modal Thought: A Preliminary Study. | Yujie Lin, Ante Wang, Moye Chen, Jingyao Liu, Hao Liu, Jinsong Su, Xinyan Xiao |
| 2025 | EMNLP | LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models. | Hongyao Tu, Liang Zhang, Yujie Lin, Xin Lin, Haibo Zhang, Long Zhang, Jinsong Su |
| 2025 | ICASSP | GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. | Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian |
| 2025 | ICASSP | A Dual-Perspective Metaphor Detection Framework Using Large Language Models. | Yujie Lin, Jingyao Liu, Yan Gao, Ante Wang, Jinsong Su |
| 2025 | ICASSP | Hypergraph-Based Dynamic Graph Node Classification. | Xiaoxu Ma, Chen Zhao, Minglai Shao, Yujie Lin |
| 2025 | IJCAI | FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models. | Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao |
| 2025 | KDD | MLDGG: Meta-Learning for Domain Generalization on Graphs. | Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li |
| 2025 | SIGIR | Triplet Contrastive Learning with Learnable Sequence Augmentation for Sequential Recommendation. | Wei Wang, Yujie Lin, Moyan Zhang, Hongyu Lu, Jianli Zhao, Jie Sun, Xianye Ben, Pengjie Ren, Yujun Li |
| 2024 | IJCAI | Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. | Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen |
| 2024 | IJCAI | Supervised Algorithmic Fairness in Distribution Shifts: A Survey. | Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian |
| 2023 | CIKM | Adaptation Speed Analysis for Fairness-aware Causal Models. | Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen |
| 2023 | WWW | A Self-Correcting Sequential Recommender. | Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren |
| 2023 | SDM | Embedding Transfer with Enhanced Correlation Modeling for Cross-Domain Recommendation. | Shilei Cao, Yujie Lin, Xianli Zhang, Yufu Chen, Zhen Zhu, Yuxin Chen, Buyue Qian, Feng Wang, Zang Li |
| 2021 | WWW | Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. | Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke |
| 2020 | KDD | M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems. | Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu |
| 2020 | SIGIR | Meta Matrix Factorization for Federated Rating Predictions. | Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng |
| 2019 | WWW | Improving Outfit Recommendation with Co-supervision of Fashion Generation. | Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | SIGIR | π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations. | Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, Maarten de Rijke |
| 2016 | VTC | A Low Complexity Calibration Method for Space-Borne Phased Array Antennas. | Shuai Wang, Jibo Dai, Yujie Lin, Xiangyuan Bu |
| 2012 | ICPR | Integrating bottom-up and top-down processes for accurate pedestrian counting. | Yujie Lin, Ning Liu |