Exploiting Behavioral Consistence for Universal User Representation. - Jie Gu; Feng Wang 072; Qinghui Sun; Zhiquan Ye; Xiaoxiao Xu; Jingmin Chen; Jun Zhang (AAAI, 2021)

Device-Cloud Collaborative Learning for Recommendation. - Jiangchao Yao; Feng Wang 072; Kunyang Jia; Bo Han 003; Jingren Zhou 001; Hongxia Yang (KDD, 2021)

MC$^2$-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation. - Zeyuan Chen; Jiangchao Yao; Feng Wang 072; Kunyang Jia; Bo Han 003; Wei Zhang; Hongxia Yang (CoRR, 2021)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (CoRR, 2021)

Device-cloud Collaborative Recommendation via Meta Controller. - Jiangchao Yao; Feng Wang 072; Xichen Ding; Shaohu Chen; Bo Han 003; Jingren Zhou 001; Hongxia Yang (KDD, 2022)

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. - Zheqi Lv; Feng Wang 072; Shengyu Zhang 001; Kun Kuang; Hongxia Yang; Fei Wu 001 (CoRR, 2022)

MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. - Zheqi Lv; Feng Wang 072; Kun Kuang; Yongwei Wang; Zhengyu Chen 001; Tao Shen 002; Hongxia Yang; Fei Wu 001 (CoRR, 2022)

Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. - Zheqi Lv; Feng Wang 072; Shengyu Zhang 001; Wenqiao Zhang; Kun Kuang; Fei Wu 001 (CICAI (1), 2023)

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. - Zheqi Lv; Wenqiao Zhang; Shengyu Zhang 001; Kun Kuang; Feng Wang 072; Yongwei Wang; Zhengyu Chen 001; Tao Shen 002; Hongxia Yang; Beng Chin Ooi; Fei Wu 001 (WWW, 2023)

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. - Jiangchao Yao; Shengyu Zhang 001; Yang Yao; Feng Wang 072; Jianxin Ma; Jianwei Zhang 012; Yunfei Chu; Luo Ji; Kunyang Jia; Tao Shen 002; Anpeng Wu; Fengda Zhang; et al. (IEEE Trans. Knowl. Data Eng., 2023)