
RODNet: Object Detection under Severe Conditions Using VisionRadio CrossModal Supervision
Radar is usually more robust than the camera in severe autonomous drivin...
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Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Deep neural networks (DNN) have achieved unprecedented success in numero...
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MultiView Spectral Clustering Tailored Tensor LowRank Representation
This paper explores the problem of multiview spectral clustering (MVSC)...
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Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Building explainable systems is a critical problem in the field of Natur...
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Apply Ant Colony Algorithm to Search All Extreme Points of Function
To find all extreme points of multimodal functions is called extremum pr...
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An hpadaptive strategy for elliptic problems
In this paper a new hpadaptive strategy for elliptic problems based on ...
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Encoding and Decoding Algorithms for Arbitrary Dimensional Hilbert Order
Hilbert order is widely applied in many areas. However, most of the algo...
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Communication, Computing and Caching for Mobile VR Delivery: Modeling and Tradeoff
Mobile virtual reality (VR) delivery is gaining increasing attention fro...
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ThreeDimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected Unet Deep Learning Architecture
The treatment planning process for patients with head and neck (H&N) can...
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Parallel Triangular Solvers on GPU
In this paper, we investigate GPU based parallel triangular solvers syst...
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Development of Krylov and AMG linear solvers for largescale sparse matrices on GPUs
This research introduce our work on developing Krylov subspace and AMG s...
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Communications, Caching and Computing for Mobile Virtual Reality: Modeling and Tradeoff
Virtual reality (VR) over wireless is emerging as an important use case ...
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Numerical Simulation of Twophase Flow in Natural Fractured Reservoirs Using Dual Porosity Method on Parallel Computers
The twophase oilwater flow in natural fractured reservoirs and its num...
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Modeling and Tradeoff for Mobile Communication, Computing and Caching Networks
Computation task service delivery in a computingenabled and cachingaid...
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The Untold Secrets of Operational WiFi Calling Services: Vulnerabilities, Attacks, and Countermeasures
Since 2016, all of four major U.S. operators have rolled out nationwide ...
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Development of A Scalable Thermal Reservoir Simulator for Distributedmemory Parallel Computers
This paper introduces the model, numerical methods, algorithms and paral...
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Numerical Simulations of Polymer Flooding Process in Porous Media on Distributedmemory Parallel Computers
Polymer flooding is a mature enhanced oil recovery technique that has be...
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A Scalable Thermal Reservoir Simulator for Giant Models on Parallel Computers
This paper introduces the model, numerical methods, algorithms and paral...
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Bandwidth Gain from Mobile Edge Computing and Caching in Wireless Multicast Systems
In this paper, we present a novel mobile edge computing (MEC) model wher...
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Scalable linear solvers for sparse linear systems from largescale numerical simulations
This paper presents our work on designing scalable linear solvers for la...
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Decoupled BlockWise ILU(k) Preconditioner on GPU
This research investigates the implementation mechanism of blockwise IL...
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Clusteringaware Graph Construction: A Joint Learning Perspective
As a promising clustering method, graphbased clustering converts the in...
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Low Complexity Algorithms for Robust Multigroup Multicast Beamforming
Existing methods for robust multigroup multicast beamforming obtain feas...
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A New InSitu Combustion Simulator for Parallel Computers
As a competitive recovery method for heavy oil, InSitu Combustion (ISC)...
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INS: An Interactive Chinese News Synthesis System
Nowadays, we are surrounded by more and more online news articles. Tens ...
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Stochastic ChannelBased Federated Learning for Medical Data Privacy Preserving
Artificial neural network has achieved unprecedented success in the medi...
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Does Gender Matter? Towards Fairness in Dialogue Systems
Recently there are increasing concerns about the fairness of Artificial ...
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Privacy Preserving Stochastic ChannelBased Federated Learning with Neural Network Pruning
Artificial neural network has achieved unprecedented success in a wide v...
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Learning Multilevel Dependencies for Robust Word Recognition
Robust language processing systems are becoming increasingly important g...
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Experiments with mmWave Automotive Radar Testbed
Millimeterwave (mmW) radars are being increasingly integrated in commer...
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GPU Accelerated Finite Element Assembly with Runtime Compilation
In recent years, high performance scientific computing on graphics proce...
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Does MultiEncoder Help? A Case Study on ContextAware Neural Machine Translation
In encoderdecoder neural models, multiple encoders are in general used ...
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Sequence to Point Learning Based on Bidirectional Dilated Residual Network for Non Intrusive Load Monitoring
Non Intrusive Load Monitoring (NILM) or Energy Disaggregation (ED), seek...
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Attacking Blackbox Recommendations via Copying Crossdomain User Profiles
Recently, recommender systems that aim to suggest personalized lists of ...
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Memoryefficient Embedding for Recommendations
Practical largescale recommender systems usually contain thousands of f...
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Hui Liu
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