
FourthOrder Nonlocal Tensor Decomposition Model for Spectral Computed Tomography
Spectral computed tomography (CT) can reconstruct spectral images from d...
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CT Reconstruction with PDF: ParameterDependent Framework for Multiple Scanning Geometries and Dose Levels
Current mainstream of CT reconstruction methods based on deep learning u...
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DeepWiPHY: Deep Learningbased Receiver Design and Dataset for IEEE 802.11ax Systems
In this work, we develop DeepWiPHY, a deep learningbased architecture t...
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Why Are Convolutional Nets More SampleEfficient than FullyConnected Nets?
Convolutional neural networks often dominate fullyconnected counterpart...
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Large Scale Product Graph Construction for Recommendation in Ecommerce
Building a recommendation system that serves billions of users on daily ...
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Reinforcement Learning on Computational Resource Allocation of Cloudbased Wireless Networks
Wireless networks used for Internet of Things (IoT) are expected to larg...
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Doubly Robust Covariate Shift Regression with Seminonparametric Nuisance Models
Importance weighting is naturally used to adjust for covariate shift. Ho...
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Double/Debiased Machine Learning for Logistic Partially Linear Model
We propose double/debiased machine learning approaches to infer (at the ...
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Iterative Reconstruction for LowDose CT using Deep Gradient Priors of Generative Model
Dose reduction in computed tomography (CT) is essential for decreasing r...
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RESA: Recurrent FeatureShift Aggregator for Lane Detection
Lane detection is one of the most important tasks in selfdriving. Due t...
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On Loss Functions and Recurrency Training for GANbased Speech Enhancement Systems
Recent work has shown that it is feasible to use generative adversarial ...
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Towards AccuracyFairness Paradox: Adversarial Examplebased Data Augmentation for Visual Debiasing
Machine learning fairness concerns about the biases towards certain prot...
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Democratizing the Edge: A Pervasive Edge Computing Framework
The needs of emerging applications, such as augmented and virtual realit...
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Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling OntheFly for Moving Object Detection
Moving object detection is critical for automated video analysis in many...
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Parallel Data Augmentation for Formality Style Transfer
The main barrier to progress in the task of Formality Style Transfer is ...
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Vehicle ReIdentification Based on Complementary Features
In this work, we present our solution to the vehicle reidentification (...
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Learning to Classify Intents and Slot Labels Given a Handful of Examples
Intent classification (IC) and slot filling (SF) are core components in ...
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Topological Quantum Compiling with Reinforcement Learning
Quantum compiling, a process that decomposes the quantum algorithm into ...
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Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections
Summarizing data samples by quantitative measures has a long history, wi...
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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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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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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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NoRegret Prediction in Marginally Stable Systems
We consider the problem of online prediction in a marginally stable line...
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A Fixationbased 360° Benchmark Dataset for Salient Object Detection
Fixation prediction (FP) in panoramic contents has been widely investiga...
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Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization
Transfer learning has been demonstrated to be successful and essential i...
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A BiLevel Cooperative Driving Strategy Allowing Lane Changes
This paper studies the cooperative driving of connected and automated ve...
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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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Zeroshot Recognition of Complex Action Sequences
Zeroshot video classification for finegrained activity recognition has...
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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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On sequences associated to the invariant theory of rank two simple Lie algebras
We study two families of sequences, listed in the OnLine Encyclopedia o...
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Robust Likelihood Ratio Tests for Incomplete Economic Models
This study develops a framework for testing hypotheses on structural par...
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Robust Estimation and Shrinkage in Ultrahigh Dimensional Expectile Regression with Heavy Tails and Variance Heterogeneity
Highdimensional data subject to heavytailed phenomena and heterogeneit...
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GoalEmbedded Dual Hierarchical Model for TaskOriented Dialogue Generation
Hierarchical neural networks are often used to model inherent structures...
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Sequencetosequence Pretraining with Data Augmentation for Sentence Rewriting
We study sequencetosequence (seq2seq) pretraining with data augmentat...
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Semiparametric Expectile Regression for Highdimensional Heavytailed and Heterogeneous Data
Recently, highdimensional heterogeneous data have attracted a lot of at...
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DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
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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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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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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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PKUSEG: A Toolkit for MultiDomain Chinese Word Segmentation
Chinese word segmentation (CWS) is a fundamental step of Chinese natural...
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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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Calibration, Entropy Rates, and Memory in Language Models
Building accurate language models that capture meaningful longterm depe...
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Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies
Testing and evaluation is a critical step in the development and deploym...
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Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology
Testing and evaluation is a critical step in the development and deploym...
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LTE StandardCompliant D2D Communication: Softwaredefined Radio Implementation and Evaluation
In this paper, we describe the design and implementation of D2D communic...
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A RightofWay Based Strategy to Implement Safe and Efficient Driving at NonSignalized Intersections for Automated Vehicles
Nonsignalized intersection is a typical and common scenario for connect...
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Personalized Contextaware Reranking for Ecommerce Recommender Systems
Ranking is a core task in Ecommerce recommender systems, which aims at ...
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Computation of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Noncentral Wishart Matrix
We give an approximate formula for the distribution of the largest eigen...
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Computations of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Wishart Matrix
We give an approximate formula of the distribution of the largest eigenv...
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Yi Zhang
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Trinity College Dublin
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University of Michigan
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Amazon
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University of Liverpool
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Princeton University
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Zhejiang University
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Microsoft
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Tsinghua University
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Johns Hopkins University
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Indiana University
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Peking University
Adjunct Assistant Professor at The Johns Hopkins University School of Medicine