Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation. - Gaode Chen; Xinghua Zhang 001; Yanyan Zhao; Cong Xue; Ji Xiang (IJCAI, 2021)

A Dynamic-aware Heterogeneous Graph Neural Network for Next POI Recommendation. - Tianci Wang; Yantong Lai; Gaode Chen; Ruohan Wang; Jiahui Shen; Ji Xiang (PRICAI (1), 2022)

A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling. - Gaode Chen; Yijun Su; Xinghua Zhang 001; Anmin Hu; Guochun Chen; Siyuan Feng; Ji Xiang; Junbo Zhang; Yu Zheng 004 (CoRR, 2022)

Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation. - Gaode Chen; Xinghua Zhang 001; Yijun Su; Yantong Lai; Ji Xiang; Junbo Zhang; Yu Zheng 004 (AAAI, 2023)

MIRec: Neural News Recommendation with Multi-Interest and Popularity-Aware Modeling. - Yuxin Zhang; Gaode Chen; Lei Wang 135; Xiaobo Guo; Liyue Ren (COMPSAC, 2023)

Multi-view Spatial-Temporal Enhanced Hypergraph Network for Next POI Recommendation. - Yantong Lai; Yijun Su; Lingwei Wei; Gaode Chen; Tianci Wang; Daren Zha (DASFAA (2), 2023)

HAEE: Low-Resource Event Detection with Hierarchy-Aware Event Graph Embeddings. - Guoxuan Ding; Xiaobo Guo; Gaode Chen; Lei Wang 135; Daren Zha (ISWC, 2023)

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 010; Han Li 005; Kun Gai (CIKM, 2024)

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation. - Gaode Chen; Ruina Sun; Yuezihan Jiang; Jiangxia Cao; Qi Zhang 010; Jingjian Lin; Han Li 005; Kun Gai; Xinghua Zhang 001 (RecSys, 2024)

Prompt Tuning for Item Cold-start Recommendation. - Yuezihan Jiang; Gaode Chen; Wenhan Zhang 004; Jingchi Wang; Yinjie Jiang; Qi Zhang 010; Jingjian Lin; Peng Jiang 002; Kaigui Bian (RecSys, 2024)

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. - Yuezihan Jiang; Changyu Li; Gaode Chen; Peiyi Li 008; Qi Zhang 010; Jingjian Lin; Peng Jiang 002; Fei Sun 001; Wentao Zhang 001 (RecSys, 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 (SIGIR, 2024)

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. - Xinghua Zhang 001; Gaode Chen; Shiyao Cui; Jiawei Sheng; Tingwen Liu; Hongbo Xu (SIGIR, 2024)

A Unified Framework for Cross-Domain Recommendation. - Jiangxia Cao; Shen Wang; Gaode Chen; Rui Huang; Shuang Yang; Zhaojie Liu; Guorui Zhou (CoRR, 2024)

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning. - Yunze Luo; Yuezihan Jiang; Yinjie Jiang; Gaode Chen; Jingchi Wang; Kaigui Bian; Peiyi Li 008; Qi Zhang 010 (KDD (1), 2025)

A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective. - Gaode Chen; Ruina Sun; Yinjie Jiang; Tianxiang Li; Yinlong Dai; Qifan Shi; Xiaojie Qin; Jialong Fu; Piaoyi Chen; Ronggeng Huang; Na Li; Qi Zhang 010; et al. (WWW (Companion Volume), 2025)

LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment. - Shikun Li; Shipeng Li; Zhiqin Yang; Xinghua Zhang 001; Gaode Chen; Xiaobo Xia; Hengyu Liu; Zhe Peng (CoRR, 2025)