
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
The inverse design of metamaterials is difficult due to a highdimension...
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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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A Systematic Literature Review of Modern Software Visualization
We report on the stateoftheart of software visualization. To ensure r...
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PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs
Deep generative models are proven to be a useful tool for automatic desi...
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Combinatorial SemiBandit in the NonStationary Environment
In this paper, we investigate the nonstationary combinatorial semiband...
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Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization
Bayesian optimization is normally performed within fixed variable bounds...
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An AoIOptimal Scheduling Method for Wireless Transmissions with Truncated Channel Inversion
Being capable of characterizing the freshness of information, Age of Inf...
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On the Effective Throughput of Coded Caching: A Game Theoretic Perspective
Recently coded caching has emerged as a promising means to handle contin...
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Gradient Perturbation is Underrated for Differentially Private Convex Optimization
Gradient perturbation, widely used for differentially private optimizati...
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Online Second Price Auction with Semibandit Feedback Under the NonStationary Setting
In this paper, we study the nonstationary online second price auction p...
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Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding
Transformer showed promising results in many sequence to sequence transf...
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Interpreting Basis Path Set in Neural Networks
Based on basis path set, GSGD algorithm significantly outperforms conve...
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A Conditional Generative Model for Predicting Material Microstructures from Processing Methods
Microstructures of a material form the bridge linking processing conditi...
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Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
Although Bayesian Optimization (BO) has been employed for accelerating m...
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DelayOptimal and EnergyEfficient Communications with Markovian Arrivals
In this paper, delayoptimal and energyefficient communication is studi...
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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.