activity
20172025
most citedUniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training

225 citations · 342 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025★ 1 cited

Bipedal Robust Walking on Uneven Footholds: Piecewise Slope LIPM with Discrete Model Predictive Control

Yapeng Shi, Sishu Li, Yongqiang Wu +4

This study presents an enhanced theoretical formulation for bipedal hierarchical control frameworks under uneven terrain conditions. Specifically, owing to the inherent limitations…

cs.AI2020★ 10 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.CL2020★ 225 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★ 4 cited

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★ 71 cited

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…

cs.RO2017★ 31 cited

Accurate Monocular Visual-inertial SLAM using a Map-assisted EKF Approach

Meixiang Quan, Songhao Piao, Minglang Tan +1

This paper presents a novel tightly-coupled monocular visual-inertial Simultaneous Localization and Mapping algorithm, which provides accurate and robust localization within the gl…