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Automated Conformance Testing for JavaScript Engines via Deep Compiler Fuzzing
JavaScript (JS) is a popular, platform-independent programming language....
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Expanding Semantic Knowledge for Zero-shot Graph Embedding
Zero-shot graph embedding is a major challenge for supervised graph lear...
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The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data
Learned indices have been proposed to replace classic index structures l...
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Model Rectification via Unknown Unknowns Extraction from Deployment Samples
Model deficiency that results from incomplete training data is a form of...
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Image Inpainting Guided by Coherence Priors of Semantics and Textures
Existing inpainting methods have achieved promising performance in recov...
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Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
Re-identification (re-ID) is currently investigated as a closed-world im...
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Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System
Haptic guidance in a shared steering assistance system has drawn signifi...
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Learning Personalized Discretionary Lane-Change Initiation for Fully Autonomous Driving Based on Reinforcement Learning
In this article, the authors present a novel method to learn the persona...
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Universal Weighting Metric Learning for Cross-Modal Matching
Cross-modal matching has been a highlighted research topic in both visio...
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Modeling and analysis of driver behavior under shared control through weighted visual and haptic guidance
For the optimum design of a driver-automation shared control system, an ...
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Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
With the increasing popularity of graph-based learning, graph neural net...
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Adaptive driver-automation shared steering control via forearm surface electromyography measurement
Shared steering control has been developed to reduce driver workload whi...
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DTDN: Dual-task De-raining Network
Removing rain streaks from rainy images is necessary for many tasks in c...
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Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer
Unsupervised crowd counting is a challenging yet not largely explored ta...
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Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market
We present Luce, the first life-long predictive model for automated prop...
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Exploring Image Enhancement for Salient Object Detection in Low Light Images
Low light images captured in a non-uniform illumination environment usua...
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Surface Electromyography-controlled Pedestrian Collision Avoidance: A Driving Simulator Study
Drivers with disabilities such as hemiplegia or unilateral upper limb am...
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Streaming Probabilistic Deep Tensor Factorization
Despite the success of existing tensor factorization methods, most of th...
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Network Embedding with Completely-imbalanced Labels
Network embedding, aiming to project a network into a low-dimensional sp...
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Road Network Metric Learning for Estimated Time of Arrival
Recently, deep learning have achieved promising results in Estimated Tim...
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Sparse Gaussian Process Based On Hat Basis Functions
Gaussian process is one of the most popular non-parametric Bayesian meth...
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Physics Regularized Gaussian Processes
We consider incorporating incomplete physics knowledge, expressed as dif...
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Multi-Fidelity High-Order Gaussian Processes for Physical Simulation
The key task of physical simulation is to solve partial differential equ...
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FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention
Estimated time of arrival (ETA) is one of the most important services in...
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Fusion Recurrent Neural Network
Considering deep sequence learning for practical application, two repres...
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Neighborhood Matching Network for Entity Alignment
Structural heterogeneity between knowledge graphs is an outstanding chal...
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Parallel Programming Models for Heterogeneous Many-Cores : A Survey
Heterogeneous many-cores are now an integral part of modern computing sy...
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Smart, Adaptive Energy Optimization for Mobile Web Interactions
Web technology underpins many interactive mobile applications. However, ...
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Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting
Traffic forecasting influences various intelligent transportation system...
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Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes
Completing a corrupted image with correct structures and reasonable text...
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Hybrid Actuator Design for a Gait Augmentation Wearable
We describe a fluidic actuator design that replaces the sealed chamber o...
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Stability and error estimates for the variable step-size BDF2 method for linear and semilinear parabolic equations
In this paper stability and error estimates for time discretizations of ...
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Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach
This article presents an automatic approach to quickly derive a good sol...
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Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning
Similar trajectory search is a fundamental problem and has been well stu...
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Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance
Many researchers have identified robotics as a potential solution to the...
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Curriculum Audiovisual Learning
Associating sound and its producer in complex audiovisual scene is a cha...
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FrequentNet : A New Deep Learning Baseline for Image Classification
In this paper, we generalize the idea from the method called "PCANet" to...
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Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores
Understanding the scalability of parallel programs is crucial for softwa...
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Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection
Deep neural networks ( DNNs ) are becoming a key enabling technology for...
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Conditional Expectation Propagation
Expectation propagation (EP) is a powerful approximate inference algorit...
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BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
The field of Deep Reinforcement Learning (DRL) has recently seen a surge...
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Jointly Learning Entity and Relation Representations for Entity Alignment
Entity alignment is a viable means for integrating heterogeneous knowled...
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Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Entity alignment is the task of linking entities with the same real-worl...
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Zero-shot Feature Selection via Exploiting Semantic Knowledge
Feature selection plays an important role in pattern recognition and mac...
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Deterministic Sampling Decoding: Where Sphere Decoding Meets Lattice Gaussian Distribution
In this paper, the paradigm of sphere decoding (SD) based on lattice Gau...
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Robust Linear Discriminant Analysis Using Ratio Minimization of L1,2-Norms
As one of the most popular linear subspace learning methods, the Linear ...
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Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores
The web has become a ubiquitous application development platform for mob...
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Beyond Intra-modality Discrepancy: A Comprehensive Survey of Heterogeneous Person Re-identification
An effective and efficient person re-identification (ReID) algorithm wil...
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Less Memory, Faster Speed: Refining Self-Attention Module for Image Reconstruction
Self-attention (SA) mechanisms can capture effectively global dependenci...
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Group Re-identification via Transferred Single and Couple Representation Learning
Group re-identification (G-ReID) is an important yet less-studied task. ...
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