Gaode Chen

According to our database, Gaode Chen authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

A Unified Framework for Cross-Domain Recommendation.

Jiangxia Cao, Shen Wang, Gaode Chen, Rui Huang, Shuang Yang, Zhaojie Liu, Guorui Zhou

CoRR, 2024

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition.

Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu

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

Disentangled Contrastive Hypergraph Learning for Next POI Recommendation.

Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, Xingxing Wang

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

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations.

Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Prompt Tuning for Item Cold-start Recommendation.

Yuezihan Jiang, Gaode Chen, Wenhan Zhang, Jingchi Wang, Yinjie Jiang, Qi Zhang, Jingjian Lin, Peng Jiang, Kaigui Bian

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation.

Gaode Chen, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation.

Gaode Chen, Yuezihan Jiang, Rui Huang, Kuo Cai, Yunze Luo, Ruina Sun, Qi Zhang, Han Li, Kun Gai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

HAEE: Low-Resource Event Detection with Hierarchy-Aware Event Graph Embeddings.

Guoxuan Ding, Xiaobo Guo, Gaode Chen, Lei Wang, Daren Zha

Proceedings of the Semantic Web - ISWC 2023, 2023

Multi-view Spatial-Temporal Enhanced Hypergraph Network for Next POI Recommendation.

Yantong Lai, Yijun Su, Lingwei Wei, Gaode Chen, Tianci Wang, Daren Zha

Proceedings of the Database Systems for Advanced Applications, 2023

MIRec: Neural News Recommendation with Multi-Interest and Popularity-Aware Modeling.

Yuxin Zhang, Gaode Chen, Lei Wang, Xiaobo Guo, Liyue Ren

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation.

Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng

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

2022

A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling.

Gaode Chen, Yijun Su, Xinghua Zhang, Anmin Hu, Guochun Chen, Siyuan Feng, Ji Xiang, Junbo Zhang, Yu Zheng

CoRR, 2022

A Dynamic-aware Heterogeneous Graph Neural Network for Next POI Recommendation.

Tianci Wang, Yantong Lai, Gaode Chen, Ruohan Wang, Jiahui Shen, Ji Xiang

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

2021

Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation.

Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021