68 citations · 203 across the 11 of their papers we have counts for
12 papers
Resource Allocation Using Gradient Boosting Aided Deep Q-Network for IoT in C-RANs
Yifan Luo, Jiawei Yang, Wei Xu +2
In this paper, we investigate dynamic resource allocation (DRA) problems for Internet of Things (IoT) in real-time cloud radio access networks (C-RANs), by combining gradient boost…
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images
Xinyi Huang, Suphanut Jamonnak, Ye Zhao +4
This extended abstract presents a visualization system, which is designed for domain scientists to visually understand their deep learning model of extracting multiple attributes i…
Identifying Candidate Spaces for Advert Implantation
Soumyabrata Dev, Hossein Javidnia, Murhaf Hossari +7
Virtual advertising is an important and promising feature in the area of online advertising. It involves integrating adverts onto live or recorded videos for product placements and…
Bit-level Optimized Neural Network for Multi-antenna Channel Quantization
Chao Lu, Wei Xu, Shi Jin +1
Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology. In order to red…
Joint Time-Frequency Splitting for Multiuser SWIPT OFDM Networks
Zhaohui Yang, Wei Xu, Mohammad Shikh-Bahaei
In this paper, we propose a joint time-frequency splitting (TFS) strategy for a multiuser orthogonal frequency division multiplexing (OFDM) system with simultaneous wireless inform…
Joint Altitude, Beamwidth, Location and Bandwidth Optimization for UAV-Enabled Communications
Zhaohui Yang, Cunhua Pan, Mohammad Shikh-Bahaei +4
This letter investigates an uplink power control problem for unmanned aerial vehicles (UAVs) assisted wireless communications. We jointly optimize the UAV's flying altitude, antenn…
Dynamic Computational Time for Visual Attention
Zhichao Li, Yi Yang, Xiao Liu +3
We propose a dynamic computational time model to accelerate the average processing time for recurrent visual attention (RAM). Rather than attention with a fixed number of steps for…
Neural Machine Translation with Pivot Languages
Yong Cheng, Yang Liu, Qian Yang +2
While recent neural machine translation approaches have delivered state-of-the-art performance for resource-rich language pairs, they suffer from the data scarcity problem for reso…
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering
Peng Li, Wei Li, Zhengyan He +4
While question answering (QA) with neural network, i.e. neural QA, has achieved promising results in recent years, lacking of large scale real-word QA dataset is still a challenge…
Debugging OpenStack Problems Using a State Graph Approach
Yong Xiang, Hu Li, Sen Wang +1
It is hard to operate and debug systems like OpenStack that integrate many independently developed modules with multiple levels of abstractions. A major challenge is to navigate th…
Semi-Supervised Learning for Neural Machine Translation
Yong Cheng, Wei Xu, Zhongjun He +4
While end-to-end neural machine translation (NMT) has made remarkable progress recently, NMT systems only rely on parallel corpora for parameter estimation. Since parallel corpora…
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
Shun Zheng, Jialei Wang, Fen Xia +2
In modern large-scale machine learning applications, the training data are often partitioned and stored on multiple machines. It is customary to employ the "data parallelism" appro…