Mengli Cheng — accepted AI-conference papers

2024

MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling

Jiaqi Xu, Bo Liu, Yunkuo Chen, Mengli Cheng, Xing Shi

AAAI 2024technical

Video-and-language understanding has a variety of applications in the industry, such as video question answering, text-video retrieval, and multi-label classification. Existing video-and-language understanding methods generally adopt heavy multi-modal encoders and feature fusion modules, which consu…

Cited by 6 Source ↗PDF ↗Scholar ↗

2023

EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems

Mengli Cheng, Yue Gao, Guoqiang Liu, HongSheng Jin

AAAI 2023technical

We present EasyRec, an easy-to-use, extendable and efficient recommendation framework for building industrial recommendation systems. Our EasyRec framework is superior in the following aspects:first, EasyRec adopts a modular and pluggable design pattern to reduce the efforts to build custom models;…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗