Junchen Wan

According to our database, Junchen Wan authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

GDEPO: Group Dual-dynamic and Equal-right Advantage Policy Optimization with Enhanced Training Data Utilization for Sample-Constrained Reinforcement Learning.

Zhengqing Yan, Xinyang Liu, Yi Zhang, Fan Guo, ChengXun Jia, Junchen Wan, Yao Liu, Qi Liu, Jihao Huang, Kang Song

CoRR, January, 2026

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation.

Yu Xia, Rui Zhong, Zeyu Song, Wei Yang, Junchen Wan, Qingpeng Cai, Chi Lu, Peng Jiang

Proceedings of the Database Systems for Advanced Applications, 2026

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

GFMAE: Self-Supervised GNN-Free Masked Autoencoders.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Yi Zhao, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu

Proceedings of the IEEE International Conference on Acoustics, 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

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios.

Lei Lin, Jia-Yi Fu, Pengli Liu, Qingyang Li, Yan Gong, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.

Zhipeng Chen, Kun Zhou, Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Ask One More Time: Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios.

Lei Lin, Jia-Yi Fu, Pengli Liu, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai

CoRR, 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

HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning.

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

CoRR, 2023

KwaiYiiMath: Technical Report.

Jia-Yi Fu, Lei Lin, Xiaoyang Gao, Pengli Liu, Zhengzong Chen, Zhirui Yang, Shengnan Zhang, Xue Zheng, Yan Li, Yuliang Liu, Xucheng Ye, Yiqiao Liao, Chao Liao, Bin Chen, Chengru Song, Junchen Wan, Zijia Lin, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai

CoRR, 2023

2020

Multi-modal Knowledge Graphs for Recommender Systems.

Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, Kai Zheng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020