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03/22/2020
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology
The widespread popularity of unmanned aerial vehicles enables an immense...
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03/05/2020
Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching
Decision-making in dense traffic scenarios is challenging for automated ...
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12/17/2019
A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media
Social Media has seen a tremendous growth in the last decade and is cont...
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11/21/2019
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
We present a large-scale dataset for the task of rewriting an ill-formed...
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07/29/2019
Small Profits and Quick Returns: An Incentive Mechanism Design for IoT-based Crowdsourcing under Continuous Platform Competition
Crowdsourcing can be applied to the Internet-of-Things (IoT) systems to ...
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07/11/2019
Towards a Verified Model of the Algorand Consensus Protocol in Coq
The Algorand blockchain is a secure and decentralized public ledger base...
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06/24/2019
Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor
Planning safe trajectories for autonomous vehicles in complex urban envi...
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06/15/2019
To save the Environmental degradation: Please pay for ecosystem services!
Project planners should consider the monetary value of ecosystem service...
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06/15/2019
Assessment of Urban Ecological Service value used in Urban Rail Transit Project
Ecosystem services refer to the ones human beings often obtain from the ...
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06/15/2019
A Books Recommendation Approach Based on Online Bookstore Data
In the era of information explosion, facing complex information, it is d...
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05/23/2019
Maximin-Aware Allocations of Indivisible Goods
We study envy-free allocations of indivisible goods to agents in setting...
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05/22/2019
Approximately Maximizing the Broker's Profit in a Two-sided Market
We study how to maximize the broker's (expected) profit in a two-sided m...
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05/20/2019
Adaptive DDoS attack detection method based on multiple-kernel learning
Distributed denial of service (DDoS) attacks have caused huge economic l...
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05/02/2019
An Adaptive Performance-oriented Scheduler for Static and Dynamic Heterogeneity
With the emergence of heterogeneous hardware paving the way for the post...
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04/06/2019
Deep Surface Normal Estimation with Hierarchical RGB-D Fusion
The growing availability of commodity RGB-D cameras has boosted the appl...
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03/28/2019
Forecasting model based on information-granulated GA-SVR and ARIMA for producer price index
The accuracy of predicting the Producer Price Index (PPI) plays an indis...
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03/28/2019
DDoS Attack Detection Method Based on Network Abnormal Behavior in Big Data Environment
Distributed denial of service (DDoS) attack becomes a rapidly growing pr...
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03/03/2019
Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network
Anticipating possible behaviors of traffic participants is an essential ...
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12/06/2018
Generative Adversarial Network based Speaker Adaptation for High Fidelity WaveNet Vocoder
Neural networks based vocoders, typically the WaveNet, have achieved spe...
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07/13/2018
Learning-based Natural Geometric Matching with Homography Prior
Geometric matching is a key step in computer vision tasks. Previous lear...
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07/07/2018
SmartSeed: Smart Seed Generation for Efficient Fuzzing
Fuzzing is an automated application vulnerability detection method. For ...
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07/03/2018
Efficient Rational Proofs with Strong Utility-Gap Guarantees
As modern computing moves towards smaller devices and powerful cloud pla...
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05/24/2018
Coarse-to-fine Seam Estimation for Image Stitching
Seam-cutting and seam-driven techniques have been proven effective for h...
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04/20/2018
Graph-based Hypothesis Generation for Parallax-tolerant Image Stitching
The seam-driven approach has been proven fairly effective for parallax-t...
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04/20/2018
Bayesian Auctions with Efficient Queries
Generating good revenue is one of the most important problems in Bayesia...
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03/18/2018
Ratio-Preserving Half-Cylindrical Warps for Natural Image Stitching
A novel warp for natural image stitching is proposed that utilizes the p...
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12/12/2017
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
We compare and contrast the statistical physics and quantum physics insp...
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08/01/2017
Rational Proofs with Non-Cooperative Provers
Interactive-proof-based approaches are widely used in verifiable computa...
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01/17/2017
On the Equivalence of Restricted Boltzmann Machines and Tensor Network States
Restricted Boltzmann machine (RBM) is one of the fundamental building bl...
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09/05/2015