b'Yang Yang'

Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport

Complex objects are usually with multiple labels, and can be represented...
04/17/2021 ∙ by Yang Yang, et al. ∙ 0 ∙ share

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Attribute-Based Robotic Grasping with One-Grasp Adaptation

Robotic grasping is one of the most fundamental robotic manipulation tas...
04/06/2021 ∙ by Yang Yang, et al. ∙ 0 ∙ share

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Collision-Aware Target-Driven Object Grasping in Constrained Environments

Grasping a novel target object in constrained environments (e.g., walls,...
04/01/2021 ∙ by Xibai Lou, et al. ∙ 4 ∙ share

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Self-supervised Discriminative Feature Learning for Multi-view Clustering

Multi-view clustering is an important research topic due to its capabili...
03/28/2021 ∙ by Jie Xu, et al. ∙ 0 ∙ share

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HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification

Multi-instance learning is common for computer vision tasks, especially ...
03/17/2021 ∙ by Yanlun Tu, et al. ∙ 14 ∙ share

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ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction

Sentiment analysis has attracted increasing attention in e-commerce. The...
03/11/2021 ∙ by Jiahao Bu, et al. ∙ 0 ∙ share

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Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems

Limited radio frequency (RF) resources restrict the number of users that...
03/05/2021 ∙ by Chuanhong Liu, et al. ∙ 0 ∙ share

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Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces

Most of the existing deep learning based end-to-end image/video coding (...
02/27/2021 ∙ by Hilmi E. Egilmez, et al. ∙ 0 ∙ share

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Integrating Pre-trained Model into Rule-based Dialogue Management

Rule-based dialogue management is still the most popular solution for in...
02/17/2021 ∙ by Jun Quan, et al. ∙ 0 ∙ share

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BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

We study the challenging task of neural network quantization without end...
02/10/2021 ∙ by Yuhang Li, et al. ∙ 12 ∙ share

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Progressive Neural Image Compression with Nested Quantization and Latent Ordering

We present PLONQ, a progressive neural image compression scheme which pu...
02/04/2021 ∙ by Yadong Lu, et al. ∙ 0 ∙ share

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A Unified Light Framework for Real-time Fault Detection of Freight Train Images

Real-time fault detection for freight trains plays a vital role in guara...
01/31/2021 ∙ by Yang Zhang, et al. ∙ 15 ∙ share

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The hybrid dimensional representation of permeability tensor: a reinterpretation of the discrete fracture model and its extension on nonconforming meshes

The discrete fracture model (DFM) has been widely used in the simulation...
01/29/2021 ∙ by Ziyao Xu, et al. ∙ 0 ∙ share

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The Hybrid-dimensional Darcy's Law: A Reinterpreted Discrete Fracture Model for Fracture and Barrier Networks on Non-conforming Meshes

In this paper, we extend the reinterpreted discrete fracture model for f...
01/29/2021 ∙ by Ziyao Xu, et al. ∙ 0 ∙ share

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PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols

Many proximity-based tracing (PCT) protocols have been proposed and depl...
12/17/2020 ∙ by Fabrizio Cicala, et al. ∙ 0 ∙ share

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Learning to Check Contract Inconsistencies

Contract consistency is important in ensuring the legal validity of the ...
12/15/2020 ∙ by Shuo Zhang, et al. ∙ 0 ∙ share

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Query-free Black-box Adversarial Attacks on Graphs

Many graph-based machine learning models are known to be vulnerable to a...
12/12/2020 ∙ by Jiarong Xu, et al. ∙ 0 ∙ share

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Denoising-based Turbo Message Passing for Compressed Video Background Subtraction

In this paper, we consider the compressed video background subtraction p...
12/10/2020 ∙ by Zhipeng Xue, et al. ∙ 0 ∙ share

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Improving Knowledge Tracing via Pre-training Question Embeddings

Knowledge tracing (KT) defines the task of predicting whether students c...
12/09/2020 ∙ by Yunfei Liu, et al. ∙ 0 ∙ share

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Unsupervised Adversarially-Robust Representation Learning on Graphs

Recent works have demonstrated that deep learning on graphs is vulnerabl...
12/04/2020 ∙ by Jiarong Xu, et al. ∙ 0 ∙ share

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Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph

Signed link prediction in social networks aims to reveal the underlying ...
11/25/2020 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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Symmetrical Z-Complementary Code Sets (SZCCSs) for Optimal Training in Generalized Spatial Modulation

This paper introduces a novel class of code sets, called "symmetrical Z-...
10/22/2020 ∙ by Yajing Zhou, et al. ∙ 0 ∙ share

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Universal Weighting Metric Learning for Cross-Modal Matching

Cross-modal matching has been a highlighted research topic in both visio...
10/07/2020 ∙ by Jiwei Wei, et al. ∙ 5 ∙ share

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AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss

Self-supervised representation learning is an emerging research topic fo...
09/17/2020 ∙ by Yanlun Tu, et al. ∙ 18 ∙ share

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GIKT: A Graph-based Interaction Model for Knowledge Tracing

With the rapid development in online education, knowledge tracing (KT) h...
09/13/2020 ∙ by Yang Yang, et al. ∙ 19 ∙ share

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Learning Adaptive Embedding Considering Incremental Class

Class-Incremental Learning (CIL) aims to train a reliable model with the...
08/31/2020 ∙ by Yang Yang, et al. ∙ 26 ∙ share

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S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification

Open set classification (OSC) tackles the problem of determining whether...
08/11/2020 ∙ by Yang Yang, et al. ∙ 14 ∙ share

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Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification

Previous Person Re-Identification (Re-ID) models aim to focus on the mos...
08/08/2020 ∙ by Zhipu Liu, et al. ∙ 8 ∙ share

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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. ∙ 20 ∙ 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. ∙ 27 ∙ 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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Yang Yang

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