
The 4Adic Complexity of A Class of Quaternary Cyclotomic Sequences with Period 2p
In cryptography, we hope a sequence over ℤ_m with period N having larger...
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It's All Relative: New Regression Paradigm for Microbiome Compositional Data
Microbiome data are complex in nature, involving high dimensionality, co...
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Residual Network Based Direct Synthesis of EM Structures: A Study on OnetoOne Transformers
We propose using machine learning models for the direct synthesis of on...
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Adjusted Logistic Propensity Weighting Methods for Population Inference using Nonprobability VolunteerBased Epidemiologic Cohorts
Many epidemiologic studies forgo probability sampling and turn to nonpro...
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Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles
Adversarial examples are firstly investigated in the area of computer vi...
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A Physics ModelGuided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles
Increasing the fuel economy of hybrid electric vehicles (HEVs) and exten...
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How to Retrain Recommender System? A Sequential MetaLearning Method
Practical recommender systems need be periodically retrained to refresh ...
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GPUAccelerated Compression and Visualization of LargeScale Vessel Trajectories in Maritime IoT Industries
The automatic identification system (AIS), an automatic vesseltracking ...
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TEA: Temporal Excitation and Aggregation for Action Recognition
Temporal modeling is key for action recognition in videos. It normally c...
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Polar Coded Diversity on Block Fading Channels via Polar Spectrum
Due to the advantage of capacityachieving, polar codes have been extend...
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Deep Reinforcement Learning with Smooth Policy
Deep neural networks have been widely adopted in modern reinforcement le...
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Pursuing Sources of Heterogeneity in Modeling Clustered Population
Researchers often have to deal with heterogeneous population with mixed ...
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AirtoAir Communications Beyond 5G: A Novel 3D CoMP Transmission Scheme
In this paper, a novel 3D cellular model consisting of aerial base stati...
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Deep Learningbased Endtoend Diagnosis System for Avascular Necrosis of Femoral Head
As the first diagnostic imaging modality of avascular necrosis of the fe...
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Bilinear Graph Neural Network with Node Interactions
Graph Neural Network (GNN) is a powerful model to learn representations ...
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Bilinear Graph Neural Network with Neighbor Interactions
Graph Neural Network (GNN) is a powerful model to learn representations ...
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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Graph Convolution Network (GCN) has become new stateoftheart for coll...
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Coordinated MultiPoint Transmission: A PoissonDelaunay Triangulation Based Approach
Coordinated multipoint (CoMP) transmission is a cooperating technique a...
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Dynamic list coloring of 1planar graphs
A graph is kplanar if it can be drawn in the plane so that each edge is...
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Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease
The objective is to assess the extent of variation of data quality and c...
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The structure and the list 3dynamic coloring of outer1planar graphs
An outer1planar graph is a graph admitting a drawing in the plane for ...
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Towards Understanding the Importance of Noise in Training Neural Networks
Numerous empirical evidence has corroborated that the noise plays a cruc...
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Polar Codes: Analysis and Construction Based on Polar Spectrum
Polar codes are the first class of constructive channel codes achieving ...
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Equitable vertex arboricity of ddegenerate graphs
A minimization problem in graph theory socalled the equitable treecolo...
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Inductive Bias of Gradient Descent based Adversarial Training on Separable Data
Adversarial training is a principled approach for training robust neural...
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Similarity GroupingGuided Neural Network Modeling for Maritime Time Series Prediction
Reliable and accurate prediction of time series plays a crucial role in ...
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Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Reidentification
Person reidentification (ReID) models usually show a limited performan...
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Edge Federation: Towards an Integrated Service Provisioning Model
Edge computing is a promising computing paradigm for pushing the cloud s...
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Transductive ZeroShot Learning with Visual Structure Constraint
Zeroshot Learning (ZSL) aims to recognize objects of the unseen classes...
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TechKG: A LargeScale Chinese TechnologyOriented Knowledge Graph
Knowledge graph is a kind of valuable knowledge base which would benefit...
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Improving Gated Recurrent Unit Based Acoustic Modeling with Batch Normalization and Enlarged Context
The use of future contextual information is typically shown to be helpfu...
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Object detection and tracking benchmark in industry based on improved correlation filter
Realtime object detection and tracking have shown to be the basis of in...
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ProjectionFree Algorithms in Statistical Estimation
FrankWolfe algorithm (FW) and its variants have gained a surge of inter...
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CommunicationEfficient ProjectionFree Algorithm for Distributed Optimization
Distributed optimization has gained a surge of interest in recent years....
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Gated Recurrent Unit Based Acoustic Modeling with Future Context
The use of future contextual information is typically shown to be helpfu...
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A Telecom Perspective on the Internet of Drones: From LTEAdvanced to 5G
Drones are driving numerous and evolving use cases, and creating transfo...
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Discriminative Learning of Latent Features for ZeroShot Recognition
Zeroshot learning (ZSL) aims to recognize unseen image categories by le...
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Mixed Supervised Object Detection with Robust Objectness Transfer
In this paper, we consider the problem of leveraging existing fully labe...
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A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection
Customer retention is one of the primary goals in the area of customer r...
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Fast Global Convergence via Landscape of Empirical Loss
While optimizing convex objective (loss) functions has been a powerhouse...
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Machine Learning for Survival Analysis: A Survey
Accurately predicting the time of occurrence of an event of interest is ...
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Solving MultiObjective MDP with Lexicographic Preference: An application to stochastic planning with multiple quantile objective
In most common settings of Markov Decision Process (MDP), an agent evalu...
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SAGA and Restricted Strong Convexity
SAGA is a fast incremental gradient method on the finite sum problem and...
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Linear Convergence of SVRG in Statistical Estimation
SVRG and its variants are among the state of art optimization algorithms...
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Skipping Word: A CharacterSequential Representation based Framework for Question Answering
Recent works using artificial neural networks based on word distributed ...
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M^2SNet: MultiModal Similarity Metric Learning based Deep Convolutional Network for Answer Selection
Recent works using artificial neural networks based on distributed word ...
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A Knowledge Gradient Policy for Sequencing Experiments to Identify the Structure of RNA Molecules Using a Sparse Additive Belief Model
We present a sparse knowledge gradient (SpKG) algorithm for adaptively s...
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The Knowledge Gradient Policy Using A Sparse Additive Belief Model
We propose a sequential learning policy for noisy discrete global optimi...
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Yan Li
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Research Investigator in the Department of Computational Medicine and Bioinformatics at University of Michigan