Jinyuan Fang

According to our database, Jinyuan Fang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces.

Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang

ACM Comput. Surv., June, 2024

Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations.

Xiaoru Chen, Yingxu Wang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

2023

Enhancing Conversational Recommendation Systems with Representation Fusion.

Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang

ACM Trans. Web, February, 2023

Adaptive Compositional Continual Meta-Learning.

Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang

Proceedings of the International Conference on Machine Learning, 2023

KGPR: Knowledge Graph Enhanced Passage Ranking.

Jinyuan Fang, Zaiqiao Meng, Craig Macdonald

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition.

Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang, Yong Jiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Hyperspherical Variational Co-embedding for Attributed Networks.

Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten de Rijke

ACM Trans. Inf. Syst., 2022

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network.

Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Variational Continual Bayesian Meta-Learning.

Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structure-Aware Random Fourier Kernel for Graphs.

Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gaussian Process with Graph Convolutional Kernel for Relational Learning.

Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

Semi-supervisedly Co-embedding Attributed Networks.

Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019