Honghuan Wu

According to our database, Honghuan Wu authored at least 4 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Nappa: NNA-Compatible and Privacy-Preserving DNN Training Framework via Vector Decomposition.

Yan Zhang, Qiushi Li, Ju Ren, Yiqiao Liao, Jin Ouyang, Chengru Song, Honghuan Wu, Kaiqiao Zhan, Ben Wang, Xu Chen, Yaoxue Zhang

IEEE Trans. Dependable Secur. Comput., 2026

2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2022

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, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

POSO: Personalized Cold Start Modules for Large-scale Recommender Systems.

Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, Sen Yang, Ji Liu

CoRR, 2021