
Deep Reinforcement Learning with Smooth Policy
Deep neural networks have been widely adopted in modern reinforcement le...
read it

Towards Understanding the Importance of Noise in Training Neural Networks
Numerous empirical evidence has corroborated that the noise plays a cruc...
read it

Bilinear Graph Neural Network with Node Interactions
Graph Neural Network (GNN) is a powerful model to learn representations ...
read it

TEA: Temporal Excitation and Aggregation for Action Recognition
Temporal modeling is key for action recognition in videos. It normally c...
read it

Deep Learningbased Endtoend Diagnosis System for Avascular Necrosis of Femoral Head
As the first diagnostic imaging modality of avascular necrosis of the fe...
read it

Machine Learning for Survival Analysis: A Survey
Accurately predicting the time of occurrence of an event of interest is ...
read it

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...
read it

SAGA and Restricted Strong Convexity
SAGA is a fast incremental gradient method on the finite sum problem and...
read it

Linear Convergence of SVRG in Statistical Estimation
SVRG and its variants are among the state of art optimization algorithms...
read it

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...
read it

The Knowledge Gradient Policy Using A Sparse Additive Belief Model
We propose a sequential learning policy for noisy discrete global optimi...
read it

Skipping Word: A CharacterSequential Representation based Framework for Question Answering
Recent works using artificial neural networks based on word distributed ...
read it

M^2SNet: MultiModal Similarity Metric Learning based Deep Convolutional Network for Answer Selection
Recent works using artificial neural networks based on distributed word ...
read it

Fast Global Convergence via Landscape of Empirical Loss
While optimizing convex objective (loss) functions has been a powerhouse...
read it

Mixed Supervised Object Detection with Robust Objectness Transfer
In this paper, we consider the problem of leveraging existing fully labe...
read it

Discriminative Learning of Latent Features for ZeroShot Recognition
Zeroshot learning (ZSL) aims to recognize unseen image categories by le...
read it

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...
read it

ProjectionFree Algorithms in Statistical Estimation
FrankWolfe algorithm (FW) and its variants have gained a surge of inter...
read it

A Telecom Perspective on the Internet of Drones: From LTEAdvanced to 5G
Drones are driving numerous and evolving use cases, and creating transfo...
read it

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...
read it

CommunicationEfficient ProjectionFree Algorithm for Distributed Optimization
Distributed optimization has gained a surge of interest in recent years....
read it

Gated Recurrent Unit Based Acoustic Modeling with Future Context
The use of future contextual information is typically shown to be helpfu...
read it

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...
read it

Transductive ZeroShot Learning with Visual Structure Constraint
Zeroshot Learning (ZSL) aims to recognize objects of the unseen classes...
read it

Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Reidentification
Person reidentification (ReID) models usually show a limited performan...
read it

Edge Federation: Towards an Integrated Service Provisioning Model
Edge computing is a promising computing paradigm for pushing the cloud s...
read it

Inductive Bias of Gradient Descent based Adversarial Training on Separable Data
Adversarial training is a principled approach for training robust neural...
read it

Polar Codes: Analysis and Construction Based on Polar Spectrum
Polar codes are the first class of constructive channel codes achieving ...
read it

TechKG: A LargeScale Chinese TechnologyOriented Knowledge Graph
Knowledge graph is a kind of valuable knowledge base which would benefit...
read it

Equitable vertex arboricity of ddegenerate graphs
A minimization problem in graph theory socalled the equitable treecolo...
read it

Dynamic list coloring of 1planar graphs
A graph is kplanar if it can be drawn in the plane so that each edge is...
read it

Similarity GroupingGuided Neural Network Modeling for Maritime Time Series Prediction
Reliable and accurate prediction of time series plays a crucial role in ...
read it

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...
read it

The structure and the list 3dynamic coloring of outer1planar graphs
An outer1planar graph is a graph admitting a drawing in the plane for ...
read it

Coordinated MultiPoint Transmission: A PoissonDelaunay Triangulation Based Approach
Coordinated multipoint (CoMP) transmission is a cooperating technique a...
read it

AirtoAir Communications Beyond 5G: A Novel 3D CoMP Transmission Scheme
In this paper, a novel 3D cellular model consisting of aerial base stati...
read it

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Graph Convolution Network (GCN) has become new stateoftheart for coll...
read it

Polar Coded Diversity on Block Fading Channels via Polar Spectrum
Due to the advantage of capacityachieving, polar codes have been extend...
read it

How to Retrain Recommender System? A Sequential MetaLearning Method
Practical recommender systems need be periodically retrained to refresh ...
read it

Pursuing Sources of Heterogeneity in Modeling Clustered Population
Researchers often have to deal with heterogeneous population with mixed ...
read it

Bilinear Graph Neural Network with Neighbor Interactions
Graph Neural Network (GNN) is a powerful model to learn representations ...
read it

GPUAccelerated Compression and Visualization of LargeScale Vessel Trajectories in Maritime IoT Industries
The automatic identification system (AIS), an automatic vesseltracking ...
read it
Yan Li
is this you? claim profile
Research Investigator in the Department of Computational Medicine and Bioinformatics at University of Michigan