Michigan State University

∙ East Lansing , United States ∙ 0 followers

Michigan State University is an educational institution that offers undergraduate, graduate, and research programs in the fields of business, humanities, science and technology, and public affairs. The schools and colleges of the university include College of Agriculture and Natural Resources, College of Arts and Letters, Eli Broad College of Business and The Eli Broad Graduate School of Management, College of Education, College of Human Ecology, College of Engineering, College of Human Medicine, College of Nursing, College of Osteopathic Medicine, College of Social Science, College of Veterinary Medicine, and College of Natural Science. Michigan State University was founded in 1855 and is based in East Lansing, Michigan.

Featured Researchers

Lei Zhang
342 publications
Yang Wang
195 publications
Yang Yang
185 publications
Fei Wang
161 publications
Feng Liu
102 publications
Sijia Liu
88 publications
Jiliang Tang
85 publications
Tianbao Yang
77 publications
Hui Liu
73 publications
Lijun Zhang
72 publications
Anil K. Jain
71 publications

∙ 10/17/2020

Deep Learning in the Era of Edge Computing: Challenges and Opportunities

The era of edge computing has arrived. Although the Internet is the back...

Mi Zhang, et al. ∙

∙ 09/16/2020

Transfer Learning in Deep Reinforcement Learning: A Survey

This paper surveys the field of transfer learning in the problem setting...

Zhuangdi Zhu, et al. ∙

∙ 11/18/2019

Aging Deep Face Features: Finding Missing Children

Given a gallery of face images of missing children, state-of-the-art fac...

Debayan Deb, et al. ∙

∙ 05/13/2020

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

DeepRobust is a PyTorch adversarial learning library which aims to build...

Yaxin Li, et al. ∙

∙ 10/28/2021

Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography

Object density reconstruction from projections containing scattered radi...

Zhishen Huang, et al. ∙

∙ 11/28/2020

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

Prevailing defense mechanisms against adversarial face images tend to ov...

Debayan Deb, et al. ∙

∙ 06/03/2020

XGNN: Towards Model-Level Explanations of Graph Neural Networks

Graphs neural networks (GNNs) learn node features by aggregating and com...

Hao Yuan, et al. ∙

∙ 10/27/2021

Towards a Taxonomy of Graph Learning Datasets

Graph neural networks (GNNs) have attracted much attention due to their ...

Renming Liu, et al. ∙

∙ 11/18/2019

Finding Missing Children: Aging Deep Face Features

Given a gallery of face images of missing children, state-of-the-art fac...

Debayan Deb, et al. ∙

∙ 07/12/2021

Trustworthy AI: A Computational Perspective

In the past few decades, artificial intelligence (AI) technology has exp...

Haochen Liu, et al. ∙

∙ 03/03/2022

Graph Neural Networks for Multimodal Single-Cell Data Integration

Recent advances in multimodal single-cell technologies have enabled simu...

Hongzhi Wen, et al. ∙

∙ 04/09/2019

Towards High-fidelity Nonlinear 3D Face Morphable Model

Embedding 3D morphable basis functions into deep neural networks opens g...

Luan Tran, et al. ∙

∙ 06/15/2022

Taxonomy of Benchmarks in Graph Representation Learning

Graph Neural Networks (GNNs) extend the success of neural networks to gr...

Renming Liu, et al. ∙

∙ 06/12/2020

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Existing Neural Architecture Search (NAS) methods either encode neural a...

Shen Yan, et al. ∙

∙ 10/12/2021

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks

The lottery ticket hypothesis (LTH) states that learning on a properly p...

Shuai Zhang, et al. ∙

∙ 06/23/2022

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

Knowledge tracing (KT) is the task of using students' historical learnin...

Zitao Liu, et al. ∙

∙ 09/08/2021

Multiscale Laplacian Learning

Machine learning methods have greatly changed science, engineering, fina...

Ekaterina Merkurjev, et al. ∙

∙ 02/17/2019

Using Persistent Homology to Quantify a Diurnal Cycle in Hurricane Felix

The diurnal cycle of tropical cyclones (TCs) is a daily cycle in clouds ...

Sarah Tymochko, et al. ∙

∙ 04/21/2019

Probabilistic Face Embeddings

Embedding methods have achieved success in face recognition by comparing...

Yichun Shi, et al. ∙

∙ 03/02/2020

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Deep neural networks (DNNs) have achieved significant performance in var...

Wei Jin, et al. ∙

∙ 06/17/2020

Self-supervised Learning on Graphs: Deep Insights and New Direction

The success of deep learning notoriously requires larger amounts of cost...

Wei Jin, et al. ∙

∙ 09/02/2020

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

There have been significant advances in neural networks for both 3D obje...

Su Pang, et al. ∙

∙ 08/07/2021

Jointly Attacking Graph Neural Network and its Explanations

Graph Neural Networks (GNNs) have boosted the performance for many graph...

Wenqi Fan, et al. ∙

∙ 01/12/2022

Beyond the Visible: A Survey on Cross-spectral Face Recognition

Cross-spectral face recognition (CFR) is aimed at recognizing individual...

David Anghelone, et al. ∙

∙ 03/11/2019

Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control

Reinforcement learning (RL) is a promising data-driven approach for adap...

Tianshu Chu, et al. ∙

∙ 11/04/2021

Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image

Inferring 3D locations and shapes of multiple objects from a single 2D i...

Feng Liu, et al. ∙

∙ 04/01/2019

Fingerprints: Fixed Length Representation via Deep Networks and Domain Knowledge

We learn a discriminative fixed length feature representation of fingerp...

Joshua J. Engelsma, et al. ∙

∙ 09/21/2019

Learning a Fixed-Length Fingerprint Representation

We present DeepPrint, a deep network, which learns to extract fixed-leng...

Joshua J. Engelsma, et al. ∙

∙ 09/24/2021

MLIMC: Machine learning-based implicit-solvent Monte Carlo

Monte Carlo (MC) methods are important computational tools for molecular...

Jiahui Chen, et al. ∙

∙ 04/26/2019

Recurrent Embedding Aggregation Network for Video Face Recognition

Recurrent networks have been successful in analyzing temporal data and h...

Sixue Gong, et al. ∙

∙ 05/03/2019

FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers

Privacy concerns in the modern digital age have prompted researchers to ...

Vahid Mirjalili, et al. ∙

∙ 05/21/2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Knowledge graphs (KGs) facilitate a wide variety of applications due to ...

Juanhui Li, et al. ∙

∙ 06/01/2020

Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties

The dream of machine learning in materials science is for a model to lea...

Paul Sinz, et al. ∙

∙ 06/13/2020

Mitigating Face Recognition Bias via Group Adaptive Classifier

Face recognition is known to exhibit bias - subjects in certain demograp...

Sixue Gong, et al. ∙

∙ 04/03/2022

AdaFace: Quality Adaptive Margin for Face Recognition

Recognition in low quality face datasets is challenging because facial a...

Minchul Kim, et al. ∙

∙ 12/05/2019

Fingerprint Spoof Generalization

We present a style-transfer based wrapper, called Universal Material Gen...

Tarang Chugh, et al. ∙

∙ 10/07/2020

Fairness Perception from a Network-Centric Perspective

Algorithmic fairness is a major concern in recent years as the influence...

Farzan Masrour, et al. ∙

∙ 08/12/2021

Graph Trend Networks for Recommendations

Recommender systems aim to provide personalized services to users and ar...

Wenqi Fan, et al. ∙

∙ 01/16/2019

Actions Speak Louder Than (Pass)words: Passive Authentication of Smartphone Users via Deep Temporal Features

Prevailing user authentication schemes on smartphones rely on explicit u...

Debayan Deb, et al. ∙

∙ 01/22/2019

Can Transfer Entropy Infer Causality in Neuronal Circuits for Cognitive Processing?

Finding the causes to observed effects and establishing causal relations...

Ali Tehrani-Saleh, et al. ∙

∙ 04/09/2019

Gait Recognition via Disentangled Representation Learning

Gait, the walking pattern of individuals, is one of the most important b...

Ziyuan Zhang, et al. ∙

∙ 12/17/2019

Fingerprint Spoof Detection: Temporal Analysis of Image Sequence

We utilize the dynamics involved in the imaging of a fingerprint on a to...

Tarang Chugh, et al. ∙

∙ 03/07/2020

Machine learning based non-Newtonian fluid model with molecular fidelity

We introduce a machine-learning-based framework for constructing continu...

Huan Lei, et al. ∙

∙ 04/06/2020

Fingerprint Presentation Attack Detection: A Sensor and Material Agnostic Approach

The vulnerability of automated fingerprint recognition systems to presen...

Steven A. Grosz, et al. ∙

∙ 07/20/2021

An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality

Parent selection algorithms (selection schemes) steer populations throug...

Jose Guadalupe Hernandez, et al. ∙

∙ 08/10/2021

Localized Graph Collaborative Filtering

User-item interactions in recommendations can be naturally de-noted as a...

Yiqi Wang, et al. ∙

∙ 10/14/2021

Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop

This paper investigates unsupervised learning of Full-Waveform Inversion...

Peng Jin, et al. ∙

∙ 01/13/2022

RealGait: Gait Recognition for Person Re-Identification

Human gait is considered a unique biometric identifier which can be acqu...

Shaoxiong Zhang, et al. ∙

∙ 04/18/2022

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

Graph Neural Networks (GNNs) have made rapid developments in the recent ...

Enyan Dai, et al. ∙

∙ 06/15/2022

Condensing Graphs via One-Step Gradient Matching

As training deep learning models on large dataset takes a lot of time an...

Wei Jin, et al. ∙