research
∙
09/13/2021
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
Lexically constrained sentence generation allows the incorporation of pr...
share
research
∙
03/25/2021
Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities
Air pollution has long been a serious environmental health challenge, es...
research
∙
03/24/2021
AQEyes: Visual Analytics for Anomaly Detection and Examination of Air Quality Data
Anomaly detection plays a key role in air quality analysis by enhancing ...
research
∙
10/06/2020
On the Sparsity of Neural Machine Translation Models
Modern neural machine translation (NMT) models employ a large number of ...
research
∙
04/20/2020
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
The intensity estimation of facial action units (AUs) is challenging due...
research
∙
11/22/2019
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
The key challenge of multi-domain translation lies in simultaneously enc...
research
∙
10/17/2019
Max-min Fairness of K-user Cooperative Rate-Splitting in MISO Broadcast Channel with User Relaying
Cooperative Rate-Splitting (CRS) strategy, relying on linearly precoded ...
research
∙
06/04/2019
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations
Zero-shot translation, translating between language pairs on which a Neu...
research
∙
02/21/2019
Rate-Splitting for Multi-User Multi-Antenna Wireless Information and Power Transfer
In a multi-user multi-antenna Simultaneous Wireless Information and Powe...
research
∙
08/25/2018
Meta-Learning for Low-Resource Neural Machine Translation
In this paper, we propose to extend the recently introduced model-agnost...
research
∙
08/24/2018
Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission: Spectral and Energy Efficiency Analysis
In a non-orthogonal unicast and multicast transmission system, a multica...
research
∙
07/12/2018
Multi-Region Ensemble Convolutional Neural Network for Facial Expression Recognition
Facial expressions play an important role in conveying the emotional sta...
research
∙
07/08/2018
Large Margin Few-Shot Learning
The key issue of few-shot learning is learning to generalize. In this pa...
research
∙
04/27/2018
Rate-Splitting Multiple Access for Cooperative Multi-Cell Networks
As a promising downlink multiple access scheme, Rate-Splitting Multiple ...
research
∙
04/23/2018
Energy Efficiency of Rate-Splitting Multiple Access, and Performance Benefits over SDMA and NOMA
Rate-Splitting Multiple Access (RSMA) is a general and powerful multiple...
research
∙
04/21/2018
A Stable and Effective Learning Strategy for Trainable Greedy Decoding
As a widely used approximate search strategy for neural network decoders...
research
∙
02/15/2018
Universal Neural Machine Translation for Extremely Low Resource Languages
In this paper, we propose a new universal machine translation approach f...
research
∙
02/14/2018
Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission
In a superimposed unicast and multicast transmission system, one layer o...
research
∙
02/09/2018
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game
While end-to-end neural machine translation (NMT) has achieved notable s...
research
∙
11/21/2017
A Unified Framework for Wide Area Measurement System Planning
Wide area measurement system (WAMS) is one of the essential components i...
research
∙
11/21/2017
Delay Aware Intelligent Transient Stability Assessment System
Transient stability assessment is a critical tool for power system desig...
research
∙
11/07/2017
Non-Autoregressive Neural Machine Translation
Existing approaches to neural machine translation condition each output ...
research
∙
06/22/2017
Neural Machine Translation with Gumbel-Greedy Decoding
Previous neural machine translation models used some heuristic search al...
research
∙
05/20/2017
Search Engine Guided Non-Parametric Neural Machine Translation
In this paper, we extend an attention-based neural machine translation (...
research
∙
05/02/2017
A Teacher-Student Framework for Zero-Resource Neural Machine Translation
While end-to-end neural machine translation (NMT) has made remarkable pr...
research
∙
02/08/2017
Trainable Greedy Decoding for Neural Machine Translation
Recent research in neural machine translation has largely focused on two...
research
∙
10/22/2016
pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data
Many countries are suffering from severe air pollution. Understanding ho...
research
∙
10/03/2016
Learning to Translate in Real-time with Neural Machine Translation
Translating in real-time, a.k.a. simultaneous translation, outputs trans...
research
∙
03/21/2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
We address an important problem in sequence-to-sequence (Seq2Seq) learni...
research
∙
09/26/2015
A Revisit of Infinite Population Models for Evolutionary Algorithms on Continuous Optimization Problems
Infinite population models are important tools for studying population d...
research
∙
07/27/2015
A Social Spider Algorithm for Solving the Non-convex Economic Load Dispatch Problem
Economic Load Dispatch (ELD) is one of the essential components in power...
research
∙
07/09/2015
Adaptive Chemical Reaction Optimization for Global Numerical Optimization
A newly proposed chemical-reaction-inspired metaheurisic, Chemical React...
research
∙
07/09/2015
Parameter Sensitivity Analysis of Social Spider Algorithm
Social Spider Algorithm (SSA) is a recently proposed general-purpose rea...
research
∙
06/24/2015
Efficient Learning for Undirected Topic Models
Replicated Softmax model, a well-known undirected topic model, is powerf...
research
∙
02/09/2015
A Social Spider Algorithm for Global Optimization
The growing complexity of real-world problems has motivated computer sci...
research
∙
02/01/2015
Chemical Reaction Optimization for the Set Covering Problem
The set covering problem (SCP) is one of the representative combinatoria...
research
∙
02/01/2015
An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization
Optimization techniques are frequently applied in science and engineerin...
research
∙
02/01/2015
Optimal V2G Scheduling of Electric Vehicles and Unit Commitment using Chemical Reaction Optimization
An electric vehicle (EV) may be used as energy storage which allows the ...
research
∙
02/01/2015
Sensor Deployment for Air Pollution Monitoring Using Public Transportation System
Air pollution monitoring is a very popular research topic and many monit...
research
∙
02/01/2015
Real-Coded Chemical Reaction Optimization with Different Perturbation Functions
Chemical Reaction Optimization (CRO) is a powerful metaheuristic which m...
research
∙
02/01/2015