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2 Results for: Author: Luo, Mingnan
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- research-articleAugust 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
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningAugust 2022, pp 3288–3298https://doi.org/10.1145/3534678.3539070Recent years have witnessed an exponential growth of model scale in deep learning-based recommender systems---from Google's 2016 model with 1 billion parameters to the latest Facebook's model with 12 trillion parameters. Significant quality boost has ...
- research-articleOctober 2021
Interactive Intention Prediction Model for Humanoid Robot Based on Visual Features
CCRIS '21: Proceedings of the 2021 2nd International Conference on Control, Robotics and Intelligent SystemAugust 2021, pp 36–41https://doi.org/10.1145/3483845.3483852It is necessary for humanoid robots to have the capability of human-like social environment perception, which could enable robots to interact with people intelligently. In order to improve the interaction capability of humanoid robots in complex and ...
