
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Deep learningbased methods have achieved remarkable success in image re...
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Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning
Existing works on disentangled representation learning usually lie on a ...
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MixedSupervised DualNetwork for Medical Image Segmentation
Deep learningbased medical image segmentation models usually require la...
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Fewshot Learning with Meta Metric Learners
Fewshot Learning aims to learn classifiers for new classes with only a ...
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Attend To Count: Crowd Counting with Adaptive Capacity Multiscale CNNs
Crowd counting is a challenging task due to the large variations in crow...
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Defending Against DDoS Attacks in Bloom Filter based Multicasting
This paper analyze security issues of Bloom filter based multicast forwa...
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Sobolev GAN
We propose a new Integral Probability Metric (IPM) between distributions...
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A Survey of Model Compression and Acceleration for Deep Neural Networks
Deep convolutional neural networks (CNNs) have recently achieved great s...
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Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
The rapid growth of Electronic Health Records (EHRs), as well as the acc...
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Of the People: Voting Is More Effective with Representative Candidates
In light of the classic impossibility results of Arrow and Gibbard and S...
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Jointly Attentive SpatialTemporal Pooling Networks for Videobased Person ReIdentification
Person ReIdentification (person reid) is a crucial task as its applica...
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MMD GAN: Towards Deeper Understanding of Moment Matching Network
Generative moment matching network (GMMN) is a deep generative model tha...
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Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding
The widespread availability of electronic health records (EHRs) promises...
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Deep Structured Energy Based Models for Anomaly Detection
In this paper, we attack the anomaly detection problem by directly model...
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Fullyadaptive Feature Sharing in MultiTask Networks with Applications in Person Attribute Classification
Multitask learning aims to improve generalization performance of multip...
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S3Pool: Pooling with Stochastic Spatial Sampling
Feature pooling layers (e.g., max pooling) in convolutional neural netwo...
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Spectral Sparsification of RandomWalk Matrix Polynomials
We consider a fundamental algorithmic question in spectral graph theory:...
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Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
The way people look in terms of facial attributes (ethnicity, hair color...
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Scalable Parallel Factorizations of SDD Matrices and Efficient Sampling for Gaussian Graphical Models
Motivated by a sampling problem basic to computational statistical infer...
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An exploration of parameter redundancy in deep networks with circulant projections
We explore the redundancy of parameters in deep neural networks by repla...
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Deep Nearest Class Mean Model for Incremental Odor Classification
In recent years, more and more machine learning algorithms have been app...
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PedestrianSynthesisGAN: Generating Pedestrian Data in Real Scene and Beyond
Stateoftheart pedestrian detection models have achieved great success...
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Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for MultiHuman Parsing
Despite the noticeable progress in perceptual tasks like detection, inst...
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On the Distortion of Voting with Multiple Representative Candidates
We study positional voting rules when candidates and voters are embedded...
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NonConvex Matrix Completion Against a SemiRandom Adversary
Matrix completion is a wellstudied problem with many machine learning a...
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Dialogbased Interactive Image Retrieval
Existing methods for interactive image retrieval have demonstrated the m...
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A Deterministic Protocol for Sequential Asymptotic Learning
In the classic herding model, agents receive private signals about an un...
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Beamforming Design for MaxMin Fair SWIPT in Green CloudRAN with Wireless Fronthaul
In this paper, a joint beamforming design for maxmin fair simultaneous ...
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A Hybrid Approach for Efficient Wireless Information and Power Transfer in Green CRAN
In this paper, we consider a green cloud radio access network (CRAN) wi...
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Diverse FewShot Text Classification with Multiple Metrics
We study fewshot learning in natural language domains. Compared to many...
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SpatialTemporal Synergic Residual Learning for Video Person ReIdentification
We tackle the problem of person reidentification in video setting in th...
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A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks
In this paper, the theoretical sustainable capacity of wireless networks...
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Look Across Elapse: Disentangled Representation Learning and Photorealistic CrossAge Face Synthesis for AgeInvariant Face Recognition
Despite the remarkable progress in face recognition related technologies...
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A Simple Mechanism for a BudgetConstrained Buyer
We study a classic Bayesian mechanism design setting of monopoly problem...
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Bayesian CycleGAN via Marginalizing Latent Sampling
Recent techniques built on Generative Adversarial Networks (GANs) like C...
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StoryGAN: A Sequential Conditional GAN for Story Visualization
In this work we propose a new task called Story Visualization. Given a m...
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Throughput Analysis and Energy Efficiency Optimization for Standalone LTEU Networks with Randomly Delayed CSI
To coexist with WiFi friendly, a standalone longterm evolution network...
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A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks
Information source sampling and update scheduling have been treated sepa...
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Sequential Attention GAN for Interactive Image Editing via Dialogue
In this paper, we introduce a new task  interactive image editing via c...
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HighDimensional Robust Mean Estimation in NearlyLinear Time
We study the fundamental problem of highdimensional mean estimation in ...
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Deep Multimodality Model for Multitask Multiview Learning
Many realworld problems exhibit the coexistence of multiple types of he...
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Energy Efficient Massive MIMO through Distributed Precoder Design
This paper presents an energyefficient downlink precoding scheme with t...
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DiffieHellman in the Air: A Link Layer Approach for InBand Wireless Pairing
Key establishment is one fundamental issue in wireless security. The wid...
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Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding
Evaluating the clinical similarities between pairwise patients is a fund...
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Multistep Reasoning via Recurrent Dual Attention for Visual Dialog
This paper presents Recurrent Dual Attention Network (ReDAN) for visual ...
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POPCNN: Predicting Odor's Pleasantness with Convolutional Neural Network
Predicting odor's pleasantness simplifies the evaluation of odors and ha...
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A Hybrid Approach with Optimization and Metricbased MetaLearner for FewShot Learning
Fewshot learning aims to learn classifiers for new classes with only a ...
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Relationaware Graph Attention Network for Visual Question Answering
In order to answer semanticallycomplicated questions about an image, a ...
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Faster Algorithms for HighDimensional Robust Covariance Estimation
We study the problem of estimating the covariance matrix of a highdimen...
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Domain Adaptive Text Style Transfer
Text style transfer without parallel data has achieved some practical su...
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Yu Cheng
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