Xiangjin Xie

According to our database, Xiangjin Xie authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation Using Knowledge Soft Integration.

Kai Ouyang, Chen Tang, Zenghao Chai, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Zhi Wang

IEEE Trans. Multim., 2026

2025

OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment.

Xiangjin Xie, Guangwei Xu, Lingyan Zhao, Ruijie Guo

Proc. ACM Manag. Data, June, 2025

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation.

Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li

CoRR, February, 2025

Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers.

Lichen Bai, Zixuan Xiong, Hai Lin, Guangwei Xu, Xiangjin Xie, Ruijie Guo, Zhanhui Kang, Haitao Zheng, Hong-Gee Kim

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Advancing entity alignment with dangling cases: a structure-aware approach through optimal transport learning and contrastive learning.

Jin Xu, Yangning Li, Xiangjin Xie, Niu Hu, Yinghui Li, Hai-Tao Zheng, Yong Jiang

Neural Comput. Appl., November, 2024

2023

Knowledge Soft Integration for Multimodal Recommendation.

Kai Ouyang, Chen Tang, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-Tao Zheng, Zhi Wang

CoRR, 2023

Investigating Graph Structure Information for Entity Alignment with Dangling Cases.

Jin Xu, Yangning Li, Xiangjin Xie, Yinghui Li, Niu Hu, Haitao Zheng, Yong Jiang

CoRR, 2023

KLAPrompt: Infusing Semantic Knowledge into Pre-trained Language Models by Long-answer Prompt Learning.

Zuotong Xie, Kai Ouyang, Xiangjin Xie, Hai-Tao Zheng, Wenqiang Liu, Dongxiao Huang, Bei Wu

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Global Mixup: Eliminating Ambiguity with Clustering.

Xiangjin Xie, Yangning Li, Wang Chen, Kai Ouyang, Zuotong Xie, Haitao Zheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Global Mixup: Eliminating Ambiguity with Clustering.

Xiangjin Xie, Yangning Li, Wang Chen, Kai Ouyang, Li Jiang, Hai-Tao Zheng

CoRR, 2022

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation.

Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li

Proceedings of the IEEE International Conference on Data Mining, 2022