b'Liang Huang'

research

∙ 05/20/2022

PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit

PaddleSpeech is an open-source all-in-one speech toolkit. It aims at fac...

Hui Zhang, et al. ∙

research

∙ 05/16/2022

A Fast Attention Network for Joint Intent Detection and Slot Filling on Edge Devices

Intent detection and slot filling are two main tasks in natural language...

Liang Huang, et al. ∙

research

∙ 04/27/2022

Data-Driven Adaptive Simultaneous Machine Translation

In simultaneous translation (SimulMT), the most widely used strategy is ...

Guangxu Xun, et al. ∙

research

∙ 03/18/2022

A^3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing

Recently, speech representation learning has improved many speech-relate...

He Bai, et al. ∙

research

∙ 09/13/2021

Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint

This paper investigates an unmanned aerial vehicle (UAV)-assisted wirele...

Xiaoyi Zhou, et al. ∙

research

∙ 08/02/2021

The Role of Phonetic Units in Speech Emotion Recognition

We propose a method for emotion recognition through emotiondependent spe...

Jiahong Yuan, et al. ∙

research

∙ 08/02/2021

Decoupling recognition and transcription in Mandarin ASR

Much of the recent literature on automatic speech recognition (ASR) is t...

Jiahong Yuan, et al. ∙

research

∙ 07/21/2021

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

Drug discovery often relies on the successful prediction of protein-liga...

Shuangli Li, et al. ∙

research

∙ 06/11/2021

Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR

Simultaneous speech-to-text translation is widely useful in many scenari...

Junkun Chen, et al. ∙

research

∙ 04/14/2021

An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks

Mobile edge computing (MEC) is a promising paradigm to accommodate the i...

Xian Li, et al. ∙

research

∙ 02/10/2021

Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation

Recently text and speech representation learning has successfully improv...

Renjie Zheng, et al. ∙

research

∙ 02/05/2021

Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning

In this paper, we consider a multi-user mobile-edge computing (MEC) netw...

Suzhi Bi, et al. ∙

research

∙ 12/17/2020

Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction

Accurately predicting the binding affinity between drugs and proteins is...

Jingbo Zhou, et al. ∙

research

∙ 11/12/2020

Context-aware Stand-alone Neural Spelling Correction

Existing natural language processing systems are vulnerable to noisy inp...

Xiangci Li, et al. ∙

research

∙ 10/22/2020

MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation

End-to-end Speech-to-text Translation (E2E- ST), which directly translat...

Junkun Chen, et al. ∙

research

∙ 10/21/2020

Improving Simultaneous Translation with Pseudo References

Simultaneous translation is vastly different from full-sentence translat...

Junkun Chen, et al. ∙

research

∙ 10/20/2020

Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training

Simultaneous speech-to-speech translation is widely useful but extremely...

Renjie Zheng, et al. ∙

research

∙ 10/03/2020

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

Opportunistic computation offloading is an effective method to improve t...

Suzhi Bi, et al. ∙

research

∙ 07/03/2020

The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint

The essence of the path planning problems is multi-modality constraint. ...

Chunhui Zhou, et al. ∙

research

∙ 05/18/2020

NEJM-enzh: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain

Machine translation requires large amounts of parallel text. While such ...

Boxiang Liu, et al. ∙

research

∙ 05/03/2020

Visualizing Deep Learning-based Radio Modulation Classifier

Deep learning has recently been successfully applied in automatic modula...

Liang Huang, et al. ∙

research

∙ 05/02/2020

Opportunistic Decoding with Timely Correction for Simultaneous Translation

Simultaneous translation has many important application scenarios and at...

Renjie Zheng, et al. ∙

research

∙ 04/27/2020

Simultaneous Translation Policies: From Fixed to Adaptive

Adaptive policies are better than fixed policies for simultaneous transl...

Baigong Zheng, et al. ∙

research

∙ 03/09/2020

Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study

The Age-of-Information (AoI) is a new performance metric recently propos...

Zhongdong Liu, et al. ∙

research

∙ 12/31/2019

LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities

RNA secondary structure prediction is widely used to understand RNA func...

He Zhang, et al. ∙

research

∙ 12/22/2019

LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search

Motivation: Predicting the secondary structure of an RNA sequence is use...

Liang Huang, et al. ∙

research

∙ 12/06/2019

Data Augmentation for Deep Learning-based Radio Modulation Classification

Deep learning has recently been applied to automatically classify the mo...

Liang Huang, et al. ∙

research

∙ 11/07/2019

Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework

Text-to-speech synthesis (TTS) has witnessed rapid progress in recent ye...

Mingbo Ma, et al. ∙

research

∙ 11/03/2019

Machine Translation in Pronunciation Space

The research in machine translation community focus on translation in te...

Hairong Liu, et al. ∙

research

∙ 09/12/2019

Speculative Beam Search for Simultaneous Translation

Beam search is universally used in full-sentence translation but its app...

Renjie Zheng, et al. ∙

research

∙ 09/04/2019

Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation

Simultaneous translation is widely useful but remains challenging. Previ...

Baigong Zheng, et al. ∙

research

∙ 06/19/2019

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

This paper describes the machine translation system developed jointly by...

Renjie Zheng, et al. ∙

research

∙ 06/04/2019

Simultaneous Translation with Flexible Policy via Restricted Imitation Learning

Simultaneous translation is widely useful but remains one of the most di...

Baigong Zheng, et al. ∙

research

∙ 06/03/2019

Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing System

In mobile edge computing (MEC) systems, edge service caching refers to p...

Suzhi Bi, et al. ∙

research

∙ 04/01/2019

Learning to Stop in Structured Prediction for Neural Machine Translation

Beam search optimization resolves many issues in neural machine translat...

Mingbo Ma, et al. ∙

research

∙ 10/19/2018

STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency

Simultaneous translation, which translates sentences before they are fin...

Mingbo Ma, et al. ∙

research

∙ 10/15/2018

Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

Neural machine translation (NMT) is notoriously sensitive to noises, but...

Hairong Liu, et al. ∙

research

∙ 09/09/2018

Speeding Up Neural Machine Translation Decoding by Cube Pruning

Although neural machine translation has achieved promising results, it s...

Wen Zhang, et al. ∙

research

∙ 08/31/2018

When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

In neural text generation such as neural machine translation, summarizat...

Liang Huang, et al. ∙

research

∙ 08/31/2018

Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report

This paper describes multimodal machine translation systems developed jo...

Renjie Zheng, et al. ∙

research

∙ 08/28/2018

Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation

Beam search is widely used in neural machine translation, and usually im...

Yilin Yang, et al. ∙

research

∙ 08/28/2018

Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation

Neural text generation, including neural machine translation, image capt...

Renjie Zheng, et al. ∙

research

∙ 08/27/2018

Large Margin Neural Language Model

We propose a large margin criterion for training neural language models....

Jiaji Huang, et al. ∙

research

∙ 08/06/2018

Deep Reinforcement Learning for Online Offloading in Wireless Powered Mobile-Edge Computing Networks

In this paper, we consider a wireless powered mobile-edge computing (MEC...

Liang Huang, et al. ∙

research

∙ 05/17/2018

Linear-Time Constituency Parsing with RNNs and Dynamic Programming

Recently, span-based constituency parsing has achieved competitive accur...

Juneki Hong, et al. ∙

research

∙ 02/15/2018

Event Nugget Detection with Forward-Backward Recurrent Neural Networks

Traditional event detection methods heavily rely on manually engineered ...

Reza Ghaeini, et al. ∙

research

∙ 10/07/2017

OSU Multimodal Machine Translation System Report

This paper describes Oregon State University's submissions to the shared...

Mingbo Ma, et al. ∙

research

∙ 10/07/2017

Group Sparse CNNs for Question Classification with Answer Sets

Question classification is an important task with wide applications. How...

Mingbo Ma, et al. ∙

research

∙ 09/28/2017

Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Sentence-level classification and sequential labeling are two fundamenta...

Mingbo Ma, et al. ∙

research

∙ 08/30/2017

Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set

We first present a minimal feature set for transition-based dependency p...

Tianze Shi, et al. ∙

Liang Huang

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