activity
20172020
most citedUniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

225 citations · 235 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI202010 cited

A novel approach for multi-agent cooperative pursuit to capture grouped evaders

Muhammad Zuhair Qadir, Songhao Piao, Haiyang Jiang +1

An approach of mobile multi-agent pursuit based on application of self-organizing feature map (SOFM) and along with that reinforcement learning based on agent group role membership…

cs.CL2020225 cited

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

Hangbo Bao, Li Dong, Furu Wei +8

We propose to pre-train a unified language model for both autoencoding and partially autoregressive language modeling tasks using a novel training procedure, referred to as a pseud…

cs.CL2018

Neural Melody Composition from Lyrics

Hangbo Bao, Shaohan Huang, Furu Wei +5

In this paper, we study a novel task that learns to compose music from natural language. Given the lyrics as input, we propose a melody composition model that generates lyrics-cond…

cs.RO2018

Tightly-coupled Monocular Visual-odometric SLAM using Wheels and a MEMS Gyroscope

Meixiang Quan, Songhao Piao, Minglang Tan +1

In this paper, we present a novel tightly-coupled probabilistic monocular visual-odometric Simultaneous Localization and Mapping algorithm using wheels and a MEMS gyroscope, which…

cs.AI2017

Coalition formation for Multi-agent Pursuit based on Neural Network and AGRMF Model

Zhaoyi Pei, Songhao Piao, Mohammed Ei Souidi

An approach for coalition formation of multi-agent pursuit based on neural network and AGRMF model is proposed.This paper constructs a novel neural work called AGRMF-ANN which cons…