
New Ideas and Trends in Deep Multimodal Content Understanding: A Review
The focus of this survey is on the analysis of two modalities of multimo...
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On the Exploration of Incremental Learning for Finegrained Image Retrieval
In this paper, we consider the problem of finegrained image retrieval i...
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Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
Nowadays, nonnegative matrix factorization (NMF) based methods have been...
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Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version)
Incremental processing is widelyadopted in many applications, ranging f...
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Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D UNet
Intervertebral discs (IVDs), as small joints lying between adjacent vert...
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ChoreoNet: Towards Music to Dance Synthesis with Choreographic Action Unit
Dance and music are two highly correlated artistic forms. Synthesizing d...
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Reconfigurable Intelligent Surface Assisted Massive MIMO with Antenna Selection
Antenna selection is capable of reducing the hardware complexity of mass...
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MOPaDGAN: Reparameterizing Engineering Designs for Augmented Multiobjective Optimization
Multiobjective optimization is key to solving many Engineering Design p...
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Structured Sparsity Modeling for Improved Multivariate Statistical Analysis based Fault Isolation
In order to improve the fault diagnosis capability of multivariate stati...
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PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes
In soccer, passing is the most frequent interaction between players and ...
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Bubble Storytelling with Automated Animation: A Brexit Hashtag Activism Case Study
Hashtag data are common and easy to acquire. Thus, they are widely used ...
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GraphFederator: Federated Visual Analysis for Multiparty Graphs
This paper presents GraphFederator, a novel approach to construct joint ...
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New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design
In this paper, we first highlight three major challenges to largescale ...
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Global Context Aware Convolutions for 3D Point Cloud Understanding
Recent advances in deep learning for 3D point clouds have shown great pr...
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Dual Gaussianbased Variational Subspace Disentanglement for VisibleInfrared Person ReIdentification
Visibleinfrared person reidentification (VIReID) is a challenging and...
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Exemplarbased Layout Finetuning for Nodelink Diagrams
We design and evaluate a novel layout finetuning technique for nodelin...
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SMAP: A Joint Dimensionality Reduction Scheme for Secure MultiParty Visualization
Nowadays, as data becomes increasingly complex and distributed, data ana...
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Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
Deep learning methods are being increasingly used for urban traffic pred...
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ConceptExplorer: Visual Analysis of Concept Driftsin Multisource Timeseries Data
Timeseries data is widely studied in various scenarios, like weather fo...
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Federated Visualization: A Privacypreserving Strategy for Decentralized Visualization
We present a novel privacy preservation strategy for decentralized visua...
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Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms
The linear inverse problem is fundamental to the development of various ...
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Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary
Membership inference (MI) in machine learning decides whether a given ex...
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MOPaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement
Deep generative models have proven useful for automatic design synthesis...
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Optimization from Structured Samples for Coverage Functions
We revisit the optimization from samples (OPS) model, which studies the ...
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Signal Encryption Strategy based on Domain change of the Fractional Fourier Transform
We provide a double encryption algorithm that uses the lack of invertibi...
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A LearningDriven Framework with Spatial Optimization For Surgical Suture Thread Reconstruction and Autonomous Grasping Under Multiple Topologies and Environmental Noises
Surgical knot tying is one of the most fundamental and important procedu...
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Molecular Latent Space Simulators
Small integration time steps limit molecular dynamics (MD) simulations t...
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Constructing Basis Path Set by Eliminating Path Dependency
The way the basis path set works in neural network remains mysterious, a...
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Deep Generative Modeling for Mechanisticbased Learning and Design of Metamaterial Systems
Metamaterials are emerging as a new paradigmatic material system to rend...
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DataDriven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process
The datadriven approach is emerging as a promising method for the topol...
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Dynamic of Stochastic Gradient Descent with StateDependent Noise
Stochastic gradient descent (SGD) and its variants are mainstream method...
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Online Competitive Influence Maximization
Online influence maximization has attracted much attention as a way to m...
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Combinatorial Pure Exploration of Dueling Bandit
In this paper, we study combinatorial pure exploration for dueling bandi...
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Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks
Global optimization of aerodynamic shapes usually requires a large numbe...
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Combinatorial Pure Exploration with Partial or FullBandit Linear Feedback
In this paper, we propose the novel model of combinatorial pure explorat...
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Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference
Modern deep neural networks increasingly make use of features such as dy...
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(Locally) Differentially Private Combinatorial SemiBandits
In this paper, we study Combinatorial SemiBandits (CSB) that is an exte...
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METASET: Exploring Shape and Property Spaces for DataDriven Metamaterials Design
Datadriven design of mechanical metamaterials is an increasingly popula...
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A realtime multiconstraints obstacle avoidance method based on LiDAR
Obstacle avoidance is one of the essential and indispensable functions f...
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Multiband MelGAN: Faster Waveform Generation for HighQuality TexttoSpeech
In this paper, we propose multiband MelGAN, a much faster waveform gene...
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Quda: Natural Language Queries for Visual Data Analytics
Visualizationoriented natural language interfaces (VNLIs) have been ex...
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A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling
Small multiples are miniature representations of visual information used...
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EnsembleGAN: Adversarial Learning for RetrievalGeneration Ensemble Model on ShortText Conversation
Generating qualitative responses has always been a challenge for humanc...
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Lightweight Mask RCNN for LongRange Wireless Power Transfer Systems
Resonant Beam Charging (RBC) is a wireless charging technology which sup...
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Computation Offloading in Heterogeneous Mobile Edge Computing with Energy Harvesting
Energy harvesting aided mobile edge computing (MEC) has gained much atte...
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Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Intelligent InternetofThings (IoT) will be transformative with the adv...
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FedMAX: Mitigating Activation Divergence for Accurate and CommunicationEfficient Federated Learning
In this paper, we identify a new phenomenon called activationdivergence...
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Learning Contextualized Sentence Representations for DocumentLevel Neural Machine Translation
Documentlevel machine translation incorporates intersentential depende...
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G2LNet: Global to Local Network for Realtime 6D Pose Estimation with Embedding Vector Features
In this paper, we propose a novel realtime 6D object pose estimation fr...
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A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies
With the uptake of targeted therapies, instead of the "onefitsall" app...
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Wei Chen
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Senior Researcher at Microsoft Research Asia, Adjunct Professor in the Institute of Interdisciplinary Information Sciences, Tsinghua University, Adjunct Researcher in the Institute of Computing Technology, Chinese Academy of Sciences, Ph.D degree from the Department of Computer Science, Cornell University, Scientist at Oracle Corporation 2004.