
Robustness Testing of Language Understanding in Dialog Systems
Most language understanding models in dialog systems are trained on a sm...
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AIDE: Annotationefficient deep learning for automatic medical image segmentation
Accurate image segmentation is crucial for medical imaging applications....
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Bayesian Fixeddomain Asymptotics: Bernsteinvon Mises Theorem for Covariance Parameters in a Gaussian Process Model
Gaussian process models typically contain finite dimensional parameters ...
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Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach
Search engines often follow a twophase paradigm where in the first stag...
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SimultaneouslyCollected Multimodal Lying Pose Dataset: Towards InBed Human Pose Monitoring under Adverse Vision Conditions
Computer vision (CV) has achieved great success in interpreting semantic...
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A coarsetofine framework for unsupervised multicontrast MR image deformable registration with dual consistency constraint
Multicontrast magnetic resonance (MR) image registration is essential i...
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PCloth: Interactive Complex Cloth Simulation on MultiGPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integrators
We present a novel parallel algorithm for cloth simulation that exploits...
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Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
Varying coefficient models (VCMs) are widely used for estimating nonline...
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A Complex KBQA System using Multiple Reasoning Paths
Multihop knowledge based question answering (KBQA) is a complex task fo...
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Towards instore multiperson tracking using head detection and track heatmaps
Computer vision algorithms are being implemented across a breadth of ind...
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Beyond 512 Tokens: Siamese Multidepth Transformerbased Hierarchical Encoder for Document Matching
Many information retrieval and natural language processing problems can ...
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Hierarchically Fair Federated Learning
Federated learning facilitates collaboration among selfinterested agent...
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Downstream Model Design of Pretrained Language Model for Relation Extraction Task
Supervised relation extraction methods based on deep neural network play...
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Incorporating Expert Prior in Bayesian Optimisation via Space Warping
Bayesian optimisation is a wellknown sampleefficient method for the op...
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DLSpec: A Deep Learning Task Exchange Specification
Deep Learning (DL) innovations are being introduced at a rapid pace. How...
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Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling
Scientific experiments are usually expensive due to complex experimental...
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MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale
Machine Learning (ML) and Deep Learning (DL) innovations are being intro...
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Nonrigid Registration Method between 3D CT Liver Data and 2D Ultrasonic Images based on Demons Model
The nonrigid registration between CT data and ultrasonic images of live...
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The Design and Implementation of a Scalable DL Benchmarking Platform
The current Deep Learning (DL) landscape is fastpaced and is rife with ...
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DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs
The past few years have seen a surge of applying Deep Learning (DL) mode...
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DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs
The past few years have seen a surge of applying Deep Learning (DL) mode...
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DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)
The past few years have seen a surge of applying Deep Learning (DL) mode...
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Benanza: Automatic μBenchmark Generation to Compute "Lowerbound" Latency and Inform Optimizations of Deep Learning Models on GPUs
As Deep Learning (DL) models have been increasingly used in latencysens...
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Benanza: Automatic uBenchmark Generation to Compute "Lowerbound" Latency and Inform Optimizations of Deep Learning Models on GPUs
As Deep Learning (DL) models have been increasingly used in latencysens...
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SelfAdaptive Network Pruning
Deep convolutional neural networks have been proved successful on a wide...
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Efficiently Embedding Dynamic Knowledge Graphs
Knowledge graph (KG) embedding encodes the entities and relations from a...
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A Bayesian Nonparametric Framework for Uncertainty Quantification in Simulation
When we use simulation to assess the performance of stochastic systems, ...
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AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
Alibaba has China's largest ecommerce platform. To support its diverse ...
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AcrossStack Profiling and Characterization of Machine Learning Models on GPUs
The world sees a proliferation of machine learning/deep learning (ML) mo...
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XSP: AcrossStack Profiling and Analysis of Machine Learning Models on GPUs
There has been a rapid proliferation of machine learning/deep learning (...
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Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
Though much progress has been achieved in singleimage 3D human recovery...
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Modelbased Convolutional DeAliasing Network Learning for Parallel MR Imaging
Parallel imaging has been an essential technique to accelerate MR imagin...
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Learning CrossModal Deep Representations for MultiModal MR Image Segmentation
Multimodal magnetic resonance imaging (MRI) is essential in clinics for...
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Oneshot Face Reenactment
To enable realistic shape (e.g. pose and expression) transfer, existing ...
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Accelerating Experimental Design by Incorporating Experimenter Hunches
Experimental design is a process of obtaining a product with target prop...
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CLCINet: CrossLevel fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
Segmenting stroke lesions from T1weighted MR images is of great value f...
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XNet: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Longrange Dependencies
The morbidity of brain stroke increased rapidly in the past few years. T...
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Sparse Spectrum Gaussian Process for Bayesian Optimisation
We propose a novel sparse spectrum approximation of Gaussian process (GP...
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Disentangling Content and Style via Unsupervised Geometry Distillation
It is challenging to disentangle an object into two orthogonal spaces of...
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Challenges and Pitfalls of Reproducing Machine Learning Artifacts
An increasingly complex and diverse collection of Machine Learning(ML) m...
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Challenges and Pitfalls of Machine Learning Evaluation and Benchmarking
An increasingly complex and diverse collection of Machine Learning (ML) ...
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TransGaGa: GeometryAware Unsupervised ImagetoImage Translation
Unsupervised imagetoimage translation aims at learning a mapping betwe...
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Deep Comprehensive Correlation Mining for Image Clustering
Recent developed deep unsupervised methods allow us to jointly learn rep...
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Adapting RNN Sequence Prediction Model to Multilabel Set Prediction
We present an adaptation of RNN sequence models to the problem of multi...
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Delay Outage Probability of Multirelay Selection for Mobile Relay Edge Computing Systems
In this paper, we deal with the problem of relay selection in mobile edg...
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Estimating Position Bias without Intrusive Interventions
Presentation bias is one of the key challenges when learning from implic...
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TFRanking: Scalable TensorFlow Library for LearningtoRank
TensorFlow Ranking is the first open source library for solving largesc...
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MLModelScope: Evaluate and Measure ML Models within AI Pipelines
The current landscape of Machine Learning (ML) and Deep Learning (DL) is...
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Accelerating Reduction and Scan Using Tensor Core Units
Driven by deep learning, there has been a surge of specialized processor...
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TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments
Deep neural networks (DNNs) have become core computation components with...
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Cheng Li
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SenseTime Corporation
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Northeastern University
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HUAWEI Technologies Co., Ltd.
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University of Michigan
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National University of Singapore
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Shanghai Jiao Tong University
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University of Illinois at UrbanaChampaign
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Deakin University
Lead Researcher at SenseTime