Liang Pang

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Institute of Computing Technology, Chinese Academy of Sciences

Continual Match Based Training in Pommerman: Technical Report

Continual learning is the ability of agents to improve their capacities ...
12/18/2018 ∙ by Peng Peng, et al. ∙ 4 ∙ share

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Locally Smoothed Neural Networks

Convolutional Neural Networks (CNN) and the locally connected layer are ...
11/22/2017 ∙ by Liang Pang, et al. ∙ 0 ∙ share

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MatchZoo: A Toolkit for Deep Text Matching

In recent years, deep neural models have been widely adopted for text ma...
07/23/2017 ∙ by Yixing Fan, et al. ∙ 0 ∙ share

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Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

Semantic matching, which aims to determine the matching degree between t...
04/15/2016 ∙ by Shengxian Wan, et al. ∙ 0 ∙ share

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Text Matching as Image Recognition

Matching two texts is a fundamental problem in many natural language pro...
02/20/2016 ∙ by Liang Pang, et al. ∙ 0 ∙ share

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A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations

Matching natural language sentences is central for many applications suc...
11/26/2015 ∙ by Shengxian Wan, et al. ∙ 0 ∙ share

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DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval

This paper concerns a deep learning approach to relevance ranking in inf...
10/16/2017 ∙ by Liang Pang, et al. ∙ 0 ∙ share

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Learning Visual Features from Snapshots for Web Search

When applying learning to rank algorithms to Web search, a large number ...
10/19/2017 ∙ by Yixing Fan, et al. ∙ 0 ∙ share

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HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

This paper is concerned with open-domain question answering (i.e., OpenQ...
01/12/2019 ∙ by Liang Pang, et al. ∙ 0 ∙ share

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A Deep Look into Neural Ranking Models for Information Retrieval

Ranking models lie at the heart of research on information retrieval (IR...
03/16/2019 ∙ by Jiafeng Guo, et al. ∙ 0 ∙ share

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ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation

In multi-turn dialogue generation, response is usually related with only...
07/09/2019 ∙ by Hainan Zhang, et al. ∙ 0 ∙ share

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SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

In learning-to-rank for information retrieval, a ranking model is automa...
12/12/2019 ∙ by Liang Pang, et al. ∙ 0 ∙ share

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Liang Pang

Featured Co-authors

Jun Xu

Liu Yang

Xueqi Cheng

W. Bruce Croft

Chao Gao

Jiafeng Guo

Yanyan Lan

Chen Wu

Hamed Zamani

Qingyao Ai

Yixing Fan

Continual Match Based Training in Pommerman: Technical Report

Locally Smoothed Neural Networks

MatchZoo: A Toolkit for Deep Text Matching

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

Text Matching as Image Recognition

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval

Learning Visual Features from Snapshots for Web Search

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

A Deep Look into Neural Ranking Models for Information Retrieval

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval