Search Results for author: Yijiang Lian

Found 7 papers, 0 papers with code

Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems

no code implementations ICML 2020 Guangzeng Xie, Luo Luo, Yijiang Lian, Zhihua Zhang

This paper studies the lower bound complexity for minimax optimization problem whose objective function is the average of $n$ individual smooth convex-concave functions.

Quotient Space-Based Keyword Retrieval in Sponsored Search

no code implementations26 May 2021 Yijiang Lian, Shuang Li, Chaobing Feng, Yanfeng Zhu

Since the synonymous relations between queries and keywords are quite scarce, the traditional information retrieval framework is inefficient in this scenario.

Information Retrieval

A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search

no code implementations21 Feb 2021 Yijiang Lian, Yubo Liu, Zhicong Ye, Liang Yuan, Yanfeng Zhu, Min Zhao, Jianyi Cheng, Xinwei Feng

This framework has been successfully applied to Baidu's sponsored search system, which yields a significant improvement in revenue.

Train Once, and Decode As You Like

no code implementations COLING 2020 Chao Tian, Yifei Wang, Hao Cheng, Yijiang Lian, Zhihua Zhang

In this paper we propose a unified approach for supporting different generation manners of machine translation, including autoregressive, semi-autoregressive, and refinement-based non-autoregressive models.

Machine Translation Translation

Optimizing AD Pruning of Sponsored Search with Reinforcement Learning

no code implementations5 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.

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