Liang Huang

Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report

2019

This paper describes the machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared Task. Translation of social media is a very challenging problem, since its …

A Short-Term Photovoltaic Power Forecasting Method Based on Meteorological Data Using GRF-LSTM-XGBoost Model

2025

This paper proposes a short-term photovoltaic power forecasting method based on a Genetic Algorithm-Random Forest (GRF)-LSTM-XGBoost hybrid model, aimed at improving accuracy by addressing the limitations of traditional models in feature selection and time series …

Application and performance analysis of Epsilon-Greedy optimization strategy in quantum link selection

2026 · Information Sciences

We investigate the optimal selection of high-fidelity quantum links that can preserve fragile quantum states during information transmission. However, uniformly estimating the fidelities of all links becomes prohibitively costly in large-scale networks with numerous noisy …

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

2016

Parsing accuracy using efficient greedy transition systems has improved dramatically in recent years thanks to neural networks. Despite striking results in dependency parsing, however, neural models have not surpassed stateof-the-art approaches in constituency parsing.

Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

2019

Neural machine translation (NMT) is notoriously sensitive to noises, but noises are almost inevitable in practice. One special kind of noise is the homophone noise, where words are replaced by other words with similar pronunciations. …