Introducing Context Information in Lifelong Sequential Modeling using Temporal Convolutional Networks

no code implementations • 18 Feb 2025 • Ting Guo, Zhaoyang Yang, Qinsong Zeng, Ming Chen

A key component in this process is the attention module, which derives interest representations with respect to candidate items from the sequence.

Recommendation Systems

Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction

no code implementations • 11 Dec 2023 • Ruijie Hou, Zhaoyang Yang, Yu Ming, Hongyu Lu, Zhuobin Zheng, Yu Chen, Qinsong Zeng, Ming Chen

Deep neural networks (DNNs) that incorporated lifelong sequential modeling (LSM) have brought great success to recommendation systems in various social media platforms.

Click-Through Rate Prediction Prediction +1

WeChat Neural Machine Translation Systems for WMT20

no code implementations • WMT (EMNLP) 2020 • Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie zhou, Sifan Liu, Hao Zhou

We participate in the WMT 2020 shared news translation task on Chinese to English.

Knowledge Distillation Machine Translation +3

Testing Untestable Neural Machine Translation: An Industrial Case

no code implementations • 6 Jul 2018 • Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie

To fill the gap of lacking test oracle for in-vivo testing of an NMT system, in this paper, we propose a new approach for automatically identifying translation failures, without requiring reference translations for a translation task; our approach can directly serve as a test oracle for in-vivo testing.

Machine Translation NMT +2