Ge Chen

According to our database, Ge Chen authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective.

Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

GUNDAM: Aligning Large Language Models with Graph Understanding.

Sheng Ouyang, Yulan Hu, Ge Chen, Yong Liu

CoRR, 2024

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation.

Ge Chen, Yulan Hu, Sheng Ouyang, Yong Liu, Cuicui Luo

CoRR, 2024

Towards Comprehensive Preference Data Collection for Reward Modeling.

Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu

CoRR, 2024

Exploring Task Unification in Graph Representation Learning via Generative Approach.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Ge Chen, Junchen Wan, Xiao Wang, Yong Liu

CoRR, 2024

IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders.

Ge Chen, Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu, Cuicui Luo

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Advancing Latent Representation Ranking for Masked Graph Autoencoder.

Yulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Zhao Cao, Shangquan Wu, Yong Liu

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Do We Really Need Contrastive Learning for Graph Representation?

Yulan Hu, Sheng Ouyang, Jingyu Liu, Ge Chen, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu

CoRR, 2023