POSO: Personalized Cold Start Modules for Large-scale Recommender Systems. - Shangfeng Dai; Haobin Lin; Zhichen Zhao; Jianying Lin; Honghuan Wu; Zhe Wang; Sen Yang 004; Ji Liu 002 (CoRR, 2021)

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. - Xiangru Lian; Binhang Yuan; Xuefeng Zhu; Yulong Wang; Yongjun He 004; Honghuan Wu; Lei Sun; Haodong Lyu; Chengjun Liu; Xing Dong; Yiqiao Liao; Mingnan Luo; et al. (KDD, 2022)

Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework. - Yunfei Yang; Zhenghao Qi; Honghuan Wu; Qi Song; Tieyao Zhang; Hao Li; Yimin Tu; Kaiqiao Zhan; Ben Wang 006 (CIKM, 2024)