Joint Geoeffectiveness and Arrival Time Prediction of CMEs by a Unified Deep Learning Framework. - Huiyuan Fu; Yuchao Zheng 002; Yudong Ye; Xueshang Feng; Chaoxu Liu; Huadong Ma (Remote. Sens., 2021)

LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders. - Zheng Chai; Qin Ren; Xijun Xiao; Huizhi Yang; Bo Han; Sijun Zhang; Di Chen; Hui Lu; Wenlin Zhao; Lele Yu; Xionghang Xie; Shiru Ren; et al. (RecSys, 2025)

Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders. - Zheng Chai; Hui Lu; Di Chen; Qin Ren; Yuchao Zheng 002; Xun Zhou (SIGIR, 2025)

Pyramid Mixer: Multi-dimensional Multi-period Interest Modeling for Sequential Recommendation. - Zhen Gong; Zhifang Fan; Hui Lu; Qiwei Chen; Chenbin Zhang; Lin Guan; Yuchao Zheng 002; Feng Zhang 047; Xiao Yang; Zuotao Liu (SIGIR, 2025)

Large Memory Network for Recommendation. - Hui Lu; Zheng Chai; Yuchao Zheng 002; Zhe Chen; Deping Xie; Peng Xu 017; Xun Zhou; Di Wu (WWW (Companion Volume), 2025)

RankMixer: Scaling Up Ranking Models in Industrial Recommenders. - Jie Zhu; Zhifang Fan; Xiaoxie Zhu; Yuchen Jiang; Hangyu Wang; Xintian Han; Haoran Ding; Xinmin Wang; Wenlin Zhao; Zhen Gong; Huizhi Yang; Zheng Chai; et al. (CoRR, 2025)