ROD: Reception-aware Online Distillation for Sparse Graphs. - Wentao Zhang 001; Yuezihan Jiang; Yang Li 106; Zeang Sheng; Yu Shen 003; Xupeng Miao; Liang Wang 001; Zhi Yang 001; Bin Cui 001 (KDD, 2021)

Evaluating Deep Graph Neural Networks. - Wentao Zhang 001; Zeang Sheng; Yuezihan Jiang; Yikuan Xia; Jun Gao 003; Zhi Yang 001; Bin Cui 001 (CoRR, 2021)

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. - Yuezihan Jiang; Yu Cheng; Hanyu Zhao; Wentao Zhang 001; Xupeng Miao; Yu He; Liang Wang 001; Zhi Yang 001; Bin Cui 001 (ICDE, 2022)

Model Degradation Hinders Deep Graph Neural Networks. - Wentao Zhang 001; Zeang Sheng; Ziqi Yin; Yuezihan Jiang; Yikuan Xia; Jun Gao 003; Zhi Yang 001; Bin Cui 001 (KDD, 2022)

Instance-wise Prompt Tuning for Pretrained Language Models. - Yuezihan Jiang; Hao Yang; Junyang Lin; Hanyu Zhao; An Yang; Chang Zhou; Hongxia Yang; Zhi Yang 001; Bin Cui 001 (CoRR, 2022)

P2CG: a privacy preserving collaborative graph neural network training framework. - Xupeng Miao; Wentao Zhang 001; Yuezihan Jiang; Fangcheng Fu; Yingxia Shao; Lei Chen 002; Yangyu Tao; Gang Cao; Bin Cui 001 (VLDB J., 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)

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)