Yang Yang

Boundary Content Graph Neural Network for Temporal Action Proposal Generation

Temporal action proposal generation plays an important role in video act...
08/04/2020 ∙ by Yueran Bai, et al. ∙ 0 ∙ share

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Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective

For state-of-the-art network function virtualization (NFV) systems, it r...
08/01/2020 ∙ by Simeng Bian, et al. ∙ 14 ∙ share

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PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems

In multi-tiered fog computing systems, to accelerate the processing of c...
08/01/2020 ∙ by Xin Gao, et al. ∙ 0 ∙ share

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Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control

In fog-assisted IoT systems, it is a common practice to offload tasks fr...
08/01/2020 ∙ by Xin Gao, et al. ∙ 0 ∙ share

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Data-Driven Bandit Learning for Proactive Cache Placement in Fog-Assisted IoT Systems

In Fog-assisted IoT systems, it is a common practice to cache popular co...
08/01/2020 ∙ by Xin Gao, et al. ∙ 0 ∙ share

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Online VNF Chaining and Predictive Scheduling: Optimality and Trade-offs

For NFV systems, the key design space includes the function chaining for...
08/01/2020 ∙ by Xi Huang, et al. ∙ 0 ∙ share

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Joint Switch-Controller Association and Control Devolution for SDN Systems: An Integration of Online Control and Online Learning

In software-defined networking (SDN) systems, it is a common practice to...
08/01/2020 ∙ by Xi Huang, et al. ∙ 0 ∙ share

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Online User-AP Association with Predictive Scheduling in Wireless Caching Networks

For wireless caching networks, the scheme design for content delivery is...
08/01/2020 ∙ by Xi Huang, et al. ∙ 0 ∙ share

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POTUS: Predictive Online Tuple Scheduling for Data Stream Processing Systems

Most online service providers deploy their own data stream processing sy...
08/01/2020 ∙ by Xi Huang, et al. ∙ 0 ∙ share

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MIPS: Instance Placement for Stream Processing Systems based on Monte Carlo Tree Search

Stream processing engines enable modern systems to conduct large-scale a...
08/01/2020 ∙ by Xi Huang, et al. ∙ 0 ∙ share

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Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization

Hyperparameters play a critical role in the performances of many machine...
07/20/2020 ∙ by Yang Yang, et al. ∙ 9 ∙ share

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Forecasting Australian subnational age-specific mortality rates

When modeling sub-national mortality rates, it is important to incorpora...
07/07/2020 ∙ by Han Lin Shang, et al. ∙ 0 ∙ share

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Privacy-preserving Medical Treatment System through Nondeterministic Finite Automata

In this paper, we propose a privacy-preserving medical treatment system ...
05/24/2020 ∙ by Yang Yang, et al. ∙ 0 ∙ share

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A Generalized Dimming Control Scheme for Visible Light Communications

A novel dimming control scheme, termed as generalized dimming control (G...
04/20/2020 ∙ by Yang Yang, et al. ∙ 0 ∙ share

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Quasi-Orthogonal Z-Complementary Pairs and Their Applications in Fully Polarimetric Radar Systems

One objective of this paper is to propose a novel class of sequence pair...
04/11/2020 ∙ by Jiahuan Wang, et al. ∙ 0 ∙ share

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Quasi-Orthogonal Z-Complementary Pairs and Its Applications in Fully Polarimetric Radar Systems

In this paper, sequences with low local ambiguity functions are presente...
04/11/2020 ∙ by Jiahuan Wang, et al. ∙ 0 ∙ share

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A Flexible Connector for Soft Modular Robots Based on Micropatterned Intersurface Jamming

Soft modular robots enable more flexibility and safer interaction with t...
04/10/2020 ∙ by Yu Alexander Tse, et al. ∙ 0 ∙ share

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Feedback Recurrent Autoencoder for Video Compression

Recent advances in deep generative modeling have enabled efficient model...
04/09/2020 ∙ by Adam Golinski, et al. ∙ 5 ∙ share

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An Eigenspace Divide-and-Conquer Approach for Large-Scale Optimization

Divide-and-conquer-based (DC-based) evolutionary algorithms (EAs) have a...
04/05/2020 ∙ by Zhigang Ren, et al. ∙ 4 ∙ share

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Guided Variational Autoencoder for Disentanglement Learning

We propose an algorithm, guided variational autoencoder (Guided-VAE), th...
04/02/2020 ∙ by Zheng Ding, et al. ∙ 9 ∙ share

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High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

Occluded person re-identification (ReID) aims to match occluded person i...
03/18/2020 ∙ by Guan'an Wang, et al. ∙ 3 ∙ share

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New Complementary Sets with Low PAPR Property under Spectral Null Constraints

Complementary set sequences (CSSs) are useful for dealing with the high ...
03/15/2020 ∙ by Yajing Zhou, et al. ∙ 0 ∙ share

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Probability Weighted Compact Feature for Domain Adaptive Retrieval

Domain adaptive image retrieval includes single-domain retrieval and cro...
03/06/2020 ∙ by Fuxiang Huang, et al. ∙ 0 ∙ share

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A Big Data Enabled Channel Model for 5G Wireless Communication Systems

The standardization process of the fifth generation (5G) wireless commun...
02/28/2020 ∙ by Jie Huang, et al. ∙ 0 ∙ share

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Energy-Efficient Buffer-Aided Relaying Systems with Opportunistic Spectrum Access

In this paper, an energy-efficient cross-layer design framework is propo...
02/27/2020 ∙ by Kunlun Wang, et al. ∙ 0 ∙ share

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New Constructions of Cross Z-Complementary Pairs

Spatial modulation (SM) is a new paradigm of multiple-input multiple-out...
02/16/2020 ∙ by Avik Ranjan Adhikary, et al. ∙ 0 ∙ share

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Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering

Matrix decomposition is one of the fundamental tools to discover knowled...
02/10/2020 ∙ by Chihao Zhang, et al. ∙ 3 ∙ share

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An Eulerian-Lagrangian discontinuous Galerkin method for transport problems and its application to nonlinear dynamics

We propose a new Eulerian-Lagrangian (EL) discontinuous Galerkin (DG) me...
02/07/2020 ∙ by Xiaofeng Cai, et al. ∙ 0 ∙ share

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Understanding Electricity-Theft Behavior via Multi-Source Data

Electricity theft, the behavior that involves users conducting illegal o...
01/21/2020 ∙ by Wenjie Hu, et al. ∙ 0 ∙ share

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SQLFlow: A Bridge between SQL and Machine Learning

Industrial AI systems are mostly end-to-end machine learning (ML) workfl...
01/19/2020 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation

The comparative losses (typically, triplet loss) are appealing choices f...
12/17/2019 ∙ by Wuyang Chen, et al. ∙ 0 ∙ share

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Generalized Constructions of Complementary Sets of Sequences of Lengths Non-Power-of-Two

The construction of complementary sets (CSs) of sequences with different...
11/28/2019 ∙ by Gaoxiang Wang, et al. ∙ 0 ∙ share

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LaFIn: Generative Landmark Guided Face Inpainting

It is challenging to inpaint face images in the wild, due to the large v...
11/26/2019 ∙ by Yang Yang, et al. ∙ 12 ∙ share

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Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification

Many real-world applications, such as city-scale traffic monitoring and ...
11/26/2019 ∙ by Wuyang Chen, et al. ∙ 0 ∙ share

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Cross-modal supervised learning for better acoustic representations

Obtaining large-scale human-labeled datasets to train acoustic represent...
11/15/2019 ∙ by Shaoyong Jia, et al. ∙ 0 ∙ share

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Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling

Meta-learning for few-shot learning allows a machine to leverage previou...
11/12/2019 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets

Time series modeling has attracted extensive research efforts; however, ...
11/11/2019 ∙ by Ziqiang Cheng, et al. ∙ 0 ∙ share

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Feedback Recurrent AutoEncoder

In this work, we propose a new recurrent autoencoder architecture, terme...
11/11/2019 ∙ by Yang Yang, et al. ∙ 0 ∙ share

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Learning to Generate 6-DoF Grasp Poses with Reachability Awareness

Motivated by the stringent requirements of unstructured real-world where...
10/14/2019 ∙ by Xibai Lou, et al. ∙ 8 ∙ share

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RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

RGB-Infrared (IR) person re-identification is an important and challengi...
10/13/2019 ∙ by Guan'an Wang, et al. ∙ 0 ∙ share

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Lightning-Fast and Privacy-Preserving Outsourced Computation in the Cloud

In this paper, we propose a framework for lightning-fast privacy-preserv...
09/27/2019 ∙ by Ximeng Liu, et al. ∙ 0 ∙ share

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CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language

Existing methods using generative adversarial approaches for Zero-Shot L...
09/21/2019 ∙ by Zhi Chen, et al. ∙ 0 ∙ share

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Alleviating Feature Confusion for Generative Zero-shot Learning

Lately, generative adversarial networks (GANs) have been successfully ap...
09/17/2019 ∙ by Jingjing Li, et al. ∙ 0 ∙ share

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A Deep Learning Approach to Grasping the Invisible

We introduce a new problem named "grasping the invisible", where a robot...
09/11/2019 ∙ by Yang Yang, et al. ∙ 17 ∙ share

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The Disruptions of 5G on Data-driven Technologies and Applications

With 5G on the verge of being adopted as the next mobile network, there ...
09/06/2019 ∙ by Dumitrel Loghin, et al. ∙ 0 ∙ share

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Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking

A major challenge in matching images and text is that they have intrinsi...
08/12/2019 ∙ by Tan Wang, et al. ∙ 8 ∙ share

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ABD-Net: Attentive but Diverse Person Re-Identification

Attention mechanism has been shown to be effective for person re-identif...
08/03/2019 ∙ by Tianlong Chen, et al. ∙ 4 ∙ share

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Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation

Visual paragraph generation aims to automatically describe a given image...
08/01/2019 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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Simultaneous reconstruction of the initial pressure and sound speed in photoacoustic tomography using a deep-learning approach

Photoacoustic tomography seeks to reconstruct an acoustic initial pressu...
07/23/2019 ∙ by Hongming Shan, et al. ∙ 0 ∙ share

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BASN – Learning Steganography with Binary Attention Mechanism

Secret information sharing through image carrier has aroused much resear...
07/09/2019 ∙ by Yang Yang, et al. ∙ 4 ∙ share

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Yang Yang

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