Liang Huang

is this you? claim profile

∙ 0 followers
Temple University ∙ ibm ∙ Oregon State University ∙ Baidu, Inc.

Assistant Professor, Computer Science at Oregon State University

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...
04/14/2021 ∙ by Xian Li, et al. ∙ 0 ∙ share

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

Recently text and speech representation learning has successfully improv...
02/10/2021 ∙ by Renjie Zheng, et al. ∙ 2 ∙ share

read it
Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning

In this paper, we consider a multi-user mobile-edge computing (MEC) netw...
02/05/2021 ∙ by Suzhi Bi, et al. ∙ 0 ∙ share

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

Accurately predicting the binding affinity between drugs and proteins is...
12/17/2020 ∙ by Jingbo Zhou, et al. ∙ 0 ∙ share

read it
Context-aware Stand-alone Neural Spelling Correction

Existing natural language processing systems are vulnerable to noisy inp...
11/12/2020 ∙ by Xiangci Li, et al. ∙ 0 ∙ share

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

End-to-end Speech-to-text Translation (E2E- ST), which directly translat...
10/22/2020 ∙ by Junkun Chen, et al. ∙ 5 ∙ share

read it
Improving Simultaneous Translation with Pseudo References

Simultaneous translation is vastly different from full-sentence translat...
10/21/2020 ∙ by Junkun Chen, et al. ∙ 2 ∙ share

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

Simultaneous speech-to-speech translation is widely useful but extremely...
10/20/2020 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

read it
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...
10/03/2020 ∙ by Suzhi Bi, et al. ∙ 0 ∙ share

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

The essence of the path planning problems is multi-modality constraint. ...
07/03/2020 ∙ by Chunhui Zhou, et al. ∙ 0 ∙ share

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

Machine translation requires large amounts of parallel text. While such ...
05/18/2020 ∙ by Boxiang Liu, et al. ∙ 0 ∙ share

read it
Visualizing Deep Learning-based Radio Modulation Classifier

Deep learning has recently been successfully applied in automatic modula...
05/03/2020 ∙ by Liang Huang, et al. ∙ 0 ∙ share

read it
Opportunistic Decoding with Timely Correction for Simultaneous Translation

Simultaneous translation has many important application scenarios and at...
05/02/2020 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

read it
Simultaneous Translation Policies: From Fixed to Adaptive

Adaptive policies are better than fixed policies for simultaneous transl...
04/27/2020 ∙ by Baigong Zheng, et al. ∙ 0 ∙ share

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

The Age-of-Information (AoI) is a new performance metric recently propos...
03/09/2020 ∙ by Zhongdong Liu, et al. ∙ 0 ∙ share

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

RNA secondary structure prediction is widely used to understand RNA func...
12/31/2019 ∙ by He Zhang, et al. ∙ 0 ∙ share

read it
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...
12/22/2019 ∙ by Liang Huang, et al. ∙ 0 ∙ share

read it
Data Augmentation for Deep Learning-based Radio Modulation Classification

Deep learning has recently been applied to automatically classify the mo...
12/06/2019 ∙ by Liang Huang, et al. ∙ 0 ∙ share

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

Text-to-speech synthesis (TTS) has witnessed rapid progress in recent ye...
11/07/2019 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

read it
Machine Translation in Pronunciation Space

The research in machine translation community focus on translation in te...
11/03/2019 ∙ by Hairong Liu, et al. ∙ 0 ∙ share

read it
Speculative Beam Search for Simultaneous Translation

Beam search is universally used in full-sentence translation but its app...
09/12/2019 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

read it
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation

Simultaneous translation is widely useful but remains challenging. Previ...
09/04/2019 ∙ by Baigong Zheng, et al. ∙ 0 ∙ share

read it
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...
06/19/2019 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

read it
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning

Simultaneous translation is widely useful but remains one of the most di...
06/04/2019 ∙ by Baigong Zheng, et al. ∙ 0 ∙ share

read it
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...
06/03/2019 ∙ by Suzhi Bi, et al. ∙ 0 ∙ share

read it
Learning to Stop in Structured Prediction for Neural Machine Translation

Beam search optimization resolves many issues in neural machine translat...
04/01/2019 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

read it
STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency

Simultaneous translation, which translates sentences before they are fin...
10/19/2018 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

read it
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding

Neural machine translation (NMT) is notoriously sensitive to noises, but...
10/15/2018 ∙ by Hairong Liu, et al. ∙ 0 ∙ share

read it
Speeding Up Neural Machine Translation Decoding by Cube Pruning

Although neural machine translation has achieved promising results, it s...
09/09/2018 ∙ by Wen Zhang, et al. ∙ 0 ∙ share

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

In neural text generation such as neural machine translation, summarizat...
08/31/2018 ∙ by Liang Huang, et al. ∙ 0 ∙ share

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

This paper describes multimodal machine translation systems developed jo...
08/31/2018 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

read it
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...
08/28/2018 ∙ by Yilin Yang, et al. ∙ 1 ∙ share

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

Neural text generation, including neural machine translation, image capt...
08/28/2018 ∙ by Renjie Zheng, et al. ∙ 0 ∙ share

read it
Large Margin Neural Language Model

We propose a large margin criterion for training neural language models....
08/27/2018 ∙ by Jiaji Huang, et al. ∙ 0 ∙ share

read it
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...
08/06/2018 ∙ by Liang Huang, et al. ∙ 0 ∙ share

read it
Linear-Time Constituency Parsing with RNNs and Dynamic Programming

Recently, span-based constituency parsing has achieved competitive accur...
05/17/2018 ∙ by Juneki Hong, et al. ∙ 0 ∙ share

read it
Event Nugget Detection with Forward-Backward Recurrent Neural Networks

Traditional event detection methods heavily rely on manually engineered ...
02/15/2018 ∙ by Reza Ghaeini, et al. ∙ 0 ∙ share

read it
OSU Multimodal Machine Translation System Report

This paper describes Oregon State University's submissions to the shared...
10/07/2017 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

read it
Group Sparse CNNs for Question Classification with Answer Sets

Question classification is an important task with wide applications. How...
10/07/2017 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

read it
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks

Sentence-level classification and sequential labeling are two fundamenta...
09/28/2017 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

read it
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...
08/30/2017 ∙ by Tianze Shi, et al. ∙ 0 ∙ share

read it
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

Discourse parsing has long been treated as a stand-alone problem indepen...
08/28/2017 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

read it
Low Power SI Class E Power Amplifier and RF Switch For Health Care

This research was to design a 2.4 GHz class E Power Amplifier (PA) for h...
01/06/2017 ∙ by Wei Cai, et al. ∙ 0 ∙ share

read it
Textual Entailment with Structured Attentions and Composition

Deep learning techniques are increasingly popular in the textual entailm...
01/04/2017 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

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

Parsing accuracy using efficient greedy transition systems has improved ...
12/20/2016 ∙ by James Cross, et al. ∙ 0 ∙ share

read it
Incremental Parsing with Minimal Features Using Bi-Directional LSTM

Recently, neural network approaches for parsing have largely automated t...
06/21/2016 ∙ by James Cross, et al. ∙ 0 ∙ share

read it
2.4GHZ Class AB power Amplifier For Healthcare Application

The objective of this research was to design a 2.4 GHz class AB Power Am...
05/09/2016 ∙ by Wei Cai, et al. ∙ 0 ∙ share

read it
Dependency-based Convolutional Neural Networks for Sentence Embedding

In sentence modeling and classification, convolutional neural network ap...
07/07/2015 ∙ by Mingbo Ma, et al. ∙ 0 ∙ share

read it
Type-Driven Incremental Semantic Parsing with Polymorphism

Semantic parsing has made significant progress, but most current semanti...
11/19/2014 ∙ by Kai Zhao, et al. ∙ 0 ∙ share

read it

Liang Huang

Featured Co-authors