An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain

no code implementations • 2 Feb 2019 • Yijiang Lian, Zhijie Chen, Jinlong Hu, Kefeng Zhang, Chunwei Yan, Muchenxuan Tong, Wenying Han, Hanju Guan, Ying Li, Ying Cao, Yang Yu, Zhigang Li, Xiaochun Liu, Yue Wang

In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query.

Machine Translation NMT +2

Decoding Spiking Mechanism with Dynamic Learning on Neuron Population

no code implementations • 21 Nov 2019 • Zhijie Chen, Junchi Yan, Longyuan Li, Xiaokang Yang

Our model is aimed to reconstruct neuron information while inferring representations of neuron spiking states.

Optimizing AD Pruning of Sponsored Search with Reinforcement Learning

no code implementations • 5 Aug 2020 • Yijiang Lian, Zhijie Chen, Xin Pei, Shuang Li, Yifei Wang, Yuefeng Qiu, Zhiheng Zhang, Zhipeng Tao, Liang Yuan, Hanju Guan, Kefeng Zhang, Zhigang Li, Xiaochun Liu

Industrial sponsored search system (SSS) can be logically divided into three modules: keywords matching, ad retrieving, and ranking.

reinforcement-learning Reinforcement Learning (RL)

Learning Neural Hamiltonian Dynamics: A Methodological Overview

1 code implementation • 28 Feb 2022 • Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha

The past few years have witnessed an increased interest in learning Hamiltonian dynamics in deep learning frameworks.

Inductive Bias