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2020 – today
- 2024
[c12]Gaode Chen, Yuezihan Jiang, Rui Huang, Kuo Cai, Yunze Luo, Ruina Sun, Qi Zhang, Han Li, Kun Gai:
Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation. CIKM 2024: 4390-4396- [c11]Gaode Chen
, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang:
A Multi-modal Modeling Framework for Cold-start Short-video Recommendation. RecSys 2024: 391-400 - [c10]Yuezihan Jiang, Gaode Chen, Wenhan Zhang, Jingchi Wang, Yinjie Jiang, Qi Zhang, Jingjian Lin, Peng Jiang, Kaigui Bian:
Prompt Tuning for Item Cold-start Recommendation. RecSys 2024: 411-421 - [c9]Yuezihan Jiang, Changyu Li, Gaode Chen, Peiyi Li, Qi Zhang, Jingjian Lin, Peng Jiang, Fei Sun, Wentao Zhang:
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. RecSys 2024: 538-548 - [c8]Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu:
Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. SIGIR 2024: 630-640 - [c7]Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, Xingxing Wang:
Disentangled Contrastive Hypergraph Learning for Next POI Recommendation. SIGIR 2024: 1452-1462 - [i3]Jiangxia Cao, Shen Wang, Gaode Chen, Rui Huang, Shuang Yang, Zhaojie Liu, Guorui Zhou:
A Unified Framework for Cross-Domain Recommendation. CoRR abs/2409.04540 (2024) - 2023
- [c6]Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng:
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. AAAI 2023: 4149-4156 - [c5]Yuxin Zhang, Gaode Chen, Lei Wang, Xiaobo Guo, Liyue Ren:
MIRec: Neural News Recommendation with Multi-Interest and Popularity-Aware Modeling. COMPSAC 2023: 458-465 - [c4]Yantong Lai, Yijun Su, Lingwei Wei, Gaode Chen, Tianci Wang, Daren Zha:
Multi-view Spatial-Temporal Enhanced Hypergraph Network for Next POI Recommendation. DASFAA (2) 2023: 237-252 - [c3]Guoxuan Ding, Xiaobo Guo, Gaode Chen, Lei Wang, Daren Zha:
HAEE: Low-Resource Event Detection with Hierarchy-Aware Event Graph Embeddings. ISWC 2023: 61-79 - 2022
- [c2]Tianci Wang, Yantong Lai, Gaode Chen, Ruohan Wang, Jiahui Shen, Ji Xiang:
A Dynamic-aware Heterogeneous Graph Neural Network for Next POI Recommendation. PRICAI (1) 2022: 313-326 - [i2]Gaode Chen, Yijun Su, Xinghua Zhang, Anmin Hu, Guochun Chen, Siyuan Feng, Ji Xiang, Junbo Zhang, Yu Zheng:
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling. CoRR abs/2206.00007 (2022) - 2021
- [c1]Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang:
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. IJCAI 2021: 1426-1433 - [i1]Gaode Chen, Xinghua Zhang, Yanyan Zhao, Cong Xue, Ji Xiang:
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. CoRR abs/2106.04415 (2021)
Coauthor Index
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