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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...
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Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
Recently text and speech representation learning has successfully improv...
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Stable Online Computation Offloading via Lyapunov-guided Deep Reinforcement Learning
In this paper, we consider a multi-user mobile-edge computing (MEC) netw...
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Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction
Accurately predicting the binding affinity between drugs and proteins is...
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Context-aware Stand-alone Neural Spelling Correction
Existing natural language processing systems are vulnerable to noisy inp...
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MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation
End-to-end Speech-to-text Translation (E2E- ST), which directly translat...
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Improving Simultaneous Translation with Pseudo References
Simultaneous translation is vastly different from full-sentence translat...
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Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training
Simultaneous speech-to-speech translation is widely useful but extremely...
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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...
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The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint
The essence of the path planning problems is multi-modality constraint. ...
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NEJM-enzh: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain
Machine translation requires large amounts of parallel text. While such ...
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Visualizing Deep Learning-based Radio Modulation Classifier
Deep learning has recently been successfully applied in automatic modula...
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Opportunistic Decoding with Timely Correction for Simultaneous Translation
Simultaneous translation has many important application scenarios and at...
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Simultaneous Translation Policies: From Fixed to Adaptive
Adaptive policies are better than fixed policies for simultaneous transl...
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Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study
The Age-of-Information (AoI) is a new performance metric recently propos...
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LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities
RNA secondary structure prediction is widely used to understand RNA func...
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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...
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Data Augmentation for Deep Learning-based Radio Modulation Classification
Deep learning has recently been applied to automatically classify the mo...
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Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework
Text-to-speech synthesis (TTS) has witnessed rapid progress in recent ye...
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Machine Translation in Pronunciation Space
The research in machine translation community focus on translation in te...
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Speculative Beam Search for Simultaneous Translation
Beam search is universally used in full-sentence translation but its app...
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Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
Simultaneous translation is widely useful but remains challenging. Previ...
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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...
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Simultaneous Translation with Flexible Policy via Restricted Imitation Learning
Simultaneous translation is widely useful but remains one of the most di...
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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...
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Learning to Stop in Structured Prediction for Neural Machine Translation
Beam search optimization resolves many issues in neural machine translat...
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STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency
Simultaneous translation, which translates sentences before they are fin...
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Robust Neural Machine Translation with Joint Textual and Phonetic Embedding
Neural machine translation (NMT) is notoriously sensitive to noises, but...
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Speeding Up Neural Machine Translation Decoding by Cube Pruning
Although neural machine translation has achieved promising results, it s...
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When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
In neural text generation such as neural machine translation, summarizat...
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Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report
This paper describes multimodal machine translation systems developed jo...
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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...
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Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation
Neural text generation, including neural machine translation, image capt...
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Large Margin Neural Language Model
We propose a large margin criterion for training neural language models....
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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...
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Linear-Time Constituency Parsing with RNNs and Dynamic Programming
Recently, span-based constituency parsing has achieved competitive accur...
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Event Nugget Detection with Forward-Backward Recurrent Neural Networks
Traditional event detection methods heavily rely on manually engineered ...
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OSU Multimodal Machine Translation System Report
This paper describes Oregon State University's submissions to the shared...
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Group Sparse CNNs for Question Classification with Answer Sets
Question classification is an important task with wide applications. How...
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Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks
Sentence-level classification and sequential labeling are two fundamenta...
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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...
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Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank
Discourse parsing has long been treated as a stand-alone problem indepen...
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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...
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Textual Entailment with Structured Attentions and Composition
Deep learning techniques are increasingly popular in the textual entailm...
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Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
Parsing accuracy using efficient greedy transition systems has improved ...
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Incremental Parsing with Minimal Features Using Bi-Directional LSTM
Recently, neural network approaches for parsing have largely automated t...
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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...
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Dependency-based Convolutional Neural Networks for Sentence Embedding
In sentence modeling and classification, convolutional neural network ap...
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Type-Driven Incremental Semantic Parsing with Polymorphism
Semantic parsing has made significant progress, but most current semanti...
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