
Deep MultiTask Learning via Generalized Tensor Trace Norm
The trace norm is widely used in multitask learning as it can discover ...
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A Sample Complexity Separation between NonConvex and Convex MetaLearning
One popular trend in metalearning is to learn from many training tasks ...
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Overparameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
Adversarial training is a popular method to give neural nets robustness ...
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LowDose CT via Deep CNN with Skip Connection and Network in Network
A major challenge in computed tomography (CT) is how to minimize patient...
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RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition
Despite the rapid growth in datasets for video activity, stable robust a...
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Identity Preserve Transform: Understand What Activity Classification Models Have Learnt
Activity classification has observed great success recently. The perform...
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Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
The ability to detect failures and anomalies are fundamental requirement...
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Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Contrast enhanced ultrasound is a radiationfree imaging modality which ...
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Nondestructive threedimensional measurement of hand vein based on selfsupervised network
At present, supervised stereo methods based on deep neural network have ...
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Explaining Landscape Connectivity of Lowcost Solutions for Multilayer Nets
Mode connectivity is a surprising phenomenon in the loss landscape of de...
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Multiscale Template Matching with Scalable Diversity Similarity in an Unconstrained Environment
We propose a novel multiscale template matching method which is robust ...
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Calibration, Entropy Rates, and Memory in Language Models
Building accurate language models that capture meaningful longterm depe...
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Many could be better than all: A novel instanceoriented algorithm for Multimodal Multilabel problem
With the emergence of diverse data collection techniques, objects in rea...
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Theoretical limitations of EncoderDecoder GAN architectures
Encoderdecoder GANs architectures (e.g., BiGAN and ALI) seek to add an ...
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NotSoRandom Features
We propose a principled method for kernel learning, which relies on a Fo...
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LowDose CT with a Residual EncoderDecoder Convolutional Neural Network (REDCNN)
Given the potential Xray radiation risk to the patient, lowdose CT has...
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Towards Understanding the Invertibility of Convolutional Neural Networks
Several recent works have empirically observed that Convolutional Neural...
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Learned Experts' Assessmentbased Reconstruction Network ("LEARN") for Sparsedata CT
Compressive sensing (CS) has proved effective for tomographic reconstruc...
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Generalization and Equilibrium in Generative Adversarial Nets (GANs)
We show that training of generative adversarial network (GAN) may not ha...
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Effective face landmark localization via single deep network
In this paper, we propose a novel face alignment method using single dee...
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A Fusion Method Based on Decision Reliability Ratio for Finger Vein Verification
Finger vein verification has developed a lot since its first proposal, b...
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UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision
Stereo algorithm is important for robotics applications, such as quadcop...
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Prediction of Manipulation Actions
Looking at a person's hands one often can tell what the person is going ...
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Lowdose CT denoising with convolutional neural network
To reduce the potential radiation risk, lowdose CT has attracted much a...
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Convolutional neural networks with lowrank regularization
Large CNNs have delivered impressive performance in various computer vis...
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Maximum Margin Output Coding
In this paper we study output coding for multilabel prediction. For a m...
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Identifying Restaurant Features via Sentiment Analysis on Yelp Reviews
Many people use Yelp to find a good restaurant. Nonetheless, with only a...
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Nonorthogonal Multiple Access Assisted MultiRegion Geocast
This work proposes a novel locationbased multigroup multicast framewor...
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Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition?
Current researches usually employ single order setting by default when d...
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Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing
Recent systems on structured prediction focus on increasing the level of...
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ICFVR 2017: 3rd International Competition on Finger Vein Recognition
In recent years, finger vein recognition has become an important subfie...
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Contraction of Ore Ideals with Applications
Ore operators form a common algebraic abstraction of linear ordinary dif...
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A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction
Abbreviation is a common phenomenon across languages, especially in Chin...
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Spectral Filtering for General Linear Dynamical Systems
We give a polynomialtime algorithm for learning latentstate linear dyn...
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Desingularization in the qWeyl algebra
In this paper, we study the desingularization problem in the first qWey...
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Stronger generalization bounds for deep nets via a compression approach
Deep nets generalize well despite having more parameters than the number...
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3D Convolutional EncoderDecoder Network for LowDose CT via Transfer Learning from a 2D Trained Network
Lowdose computed tomography (CT) has attracted a major attention in the...
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Traffic Flow Forecasting Using a SpatioTemporal Bayesian Network Predictor
A novel predictor for traffic flow forecasting, namely spatiotemporal B...
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Joint DOA and Delay Estimation for 3D Indoor Localization in Next Generation WiFi and 5G
This paper address the joint directionofarrival (DOA) and time delay (...
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SampleAhead: Online ClassifierSampler Communication for Learning from Synthesized Data
Stateoftheart techniques of artificial intelligence, in particular de...
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Laurent Series Solutions of Algebraic Ordinary Differential Equations
This paper concerns Laurent series solutions of algebraic ordinary diffe...
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Structuresensitive Multiscale Deep Neural Network for LowDose CT Denoising
Computed tomography (CT) is a popular medical imaging modality in clinic...
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Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G
Accurate indoor localization has long been a challenging problem due to ...
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N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients
Foot is a vital part of human, and lots of valuable information is embed...
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Impulsive Control for GAIMD Dynamics with Relaxed and Hard Constraints
Motivated by various applications from Internet congestion control to po...
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Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency
Abstractive text summarization is a highly difficult problem, and the se...
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STS Classification with Dualstream CNN
The structured time series (STS) classification problem requires the mod...
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The Case for FullMatrix Adaptive Regularization
Adaptive regularization methods come in diagonal and fullmatrix variant...
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A SkeletonBased Model for Promoting Coherence Among Sentences in Narrative Story Generation
Narrative story generation is a challenging problem because it demands t...
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CT Superresolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GANCIRCLE)
Computed tomography (CT) is a popular medical imaging modality for scree...
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Yi Zhang
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Adjunct Assistant Professor at The Johns Hopkins University School of Medicine