
Temporal Memory Relation Network for Workflow Recognition from Surgical Video
Automatic surgical workflow recognition is a key component for developin...
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FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Federated learning allows distributed medical institutions to collaborat...
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Computation Resource Allocation Solution in Recommender Systems
Recommender systems rely heavily on increasing computation resources to ...
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MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN
Magnetic induction tomography (MIT) is an efficient solution for longte...
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C2CGenDA: ClustertoCluster Generation for Data Augmentation of Slot Filling
Slot filling, a fundamental module of spoken language understanding, oft...
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Neural Rate Control for Video Encoding using Imitation Learning
In modern video encoders, rate control is a critical component and has b...
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Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study
Modern deep neural network (DNN) trainings utilize various training tech...
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Efficient ProjectionFree Algorithms for Saddle Point Problems
The FrankWolfe algorithm is a classic method for constrained optimizati...
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Data Augmentation at the LHC through Analysisspecific Fast Simulation with Deep Learning
We present a fast simulation application based on a Deep Neural Network,...
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FewJoint: A Fewshot Learning Benchmark for Joint Language Understanding
Fewlearn learning (FSL) is one of the key future steps in machine learn...
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Revisiting CoOccurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices
We study the streaming model for approximate matrix multiplication (AMM)...
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An autocovariancebased learning framework for highdimensional functional time series
Many scientific and economic applications involve the analysis of highd...
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Learning Directional Feature Maps for Cardiac MRI Segmentation
Cardiac MRI segmentation plays a crucial role in clinical diagnosis for ...
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LargeScale Optimal Transport via Adversarial Training with CycleConsistency
Recent advances in largescale optimal transport have greatly extended i...
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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Accurate medical image segmentation commonly requires effective learning...
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Unsupervised Bidirectional CrossModality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Unsupervised domain adaptation has increasingly gained interest in medic...
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A Stochastic Proximal Point Algorithm for SaddlePoint Problems
We consider saddle point problems which objective functions are the aver...
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MultiInstance MultiScale CNN for Medical Image Classification
Deep learning for medical image classification faces three major challen...
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MillemeterWave Fixed Wireless Access Using IEEE 802.11ay
IEEE 802.11ay defines new PHY and MAC specifications that enable 100 Gbp...
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Physical Layer Performance Evaluation of Wireless Infraredbased LiFi Uplink
LiFi (lightfidelity) is recognised as a promising technology for the ne...
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NewGeneration DesignTechnology CoOptimization (DTCO): MachineLearning Assisted Modeling Framework
In this paper, we propose a machinelearning assisted modeling framework...
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Synergistic Image and Feature Adaptation: Towards CrossModality Domain Adaptation for Medical Image Segmentation
This paper presents a novel unsupervised domain adaptation framework, ca...
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PnPAdaNet: PlugandPlay Adversarial Domain Adaptation Network with a Benchmark at Crossmodality Cardiac Segmentation
Deep convolutional networks have demonstrated the stateoftheart perfo...
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A MultiAgent Reinforcement Learning Method for Impression Allocation in Online Display Advertising
In online display advertising, guaranteed contracts and realtime biddin...
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Sourcerer's Apprentice and the study of code snippet migration
On the worldwide web, not only are webpages connected but source code is...
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Regression with Functional ErrorsinPredictors: A Generalized MethodofMoments Approach
Functional regression is an important topic in functional data analysis....
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SemanticAware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest Xray Segmentation
In spite of the compelling achievements that deep neural networks (DNNs)...
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RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
Deep learning emerges as an important new resourceintensive workload an...
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Unsupervised CrossModality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Convolutional networks (ConvNets) have achieved great successes in vario...
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GARDENIA: A Domainspecific Benchmark Suite for Nextgeneration Accelerators
This paper presents the Graph Analytics Repository for Designing Nextge...
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Hybrid DeepSemantic Matrix Factorization for TagAware Personalized Recommendation
Matrix factorization has now become a dominant solution for personalized...
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A Novel Method to Study Bottomup Visual Saliency and its Neural Mechanism
In this study, we propose a novel method to measure bottomup saliency m...
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A Parallel algorithm for XArmed bandits
The target of Xarmed bandit problem is to find the global maximum of an...
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Cheng Chen
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