Controlling the false discovery rate in transformational sparsity: Split Knockoffs

Differentially private federated learning with Laplacian smoothing

Investigation of the Flipping Dynamics of 1, N6-Ethenoadenine in Alkyladenine DNA Glycosylase

Split Knockoffs for Multiple Comparisons: Controlling the Directional False Discovery Rate

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning

Learning Long Timescale in Molecular Dynamics by Nano-GPT

NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release

Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion

Exploring structural sparsity of deep networks via inverse scale spaces

SARS-CoV-2 RNA-Dependent RNA Polymerase Follows Asynchronous Translocation Pathway for Viral Transcription and Replication

Generative Adversarial Networks for Robust Cryo-EM Image Denoising

Inducing Neural Collapse in Deep Long-tailed Learning

SurfBind: Surface Distance aided Geometric Deep Learning for Binding Conformations.

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction

On Breiman’s Dilemma in Neural Networks: Phase Transitions of Margin Dynamics

RPnet: a reverse-projection-based neural network for coarse-graining metastable conformational states for protein dynamics

Unveiling the "template-Dependent" Inhibition on the Viral Transcription of SARS-CoV-2

Evaluating Visual Properties via Robust HodgeRank

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size

On ADMM in Deep Learning: Convergence and Saturation-Avoidance

Adversarial Robustness of Stabilized Neural ODEs Might be from Obfuscated Gradients.

Deep Partial Rank Aggregation for Personalized Attributes

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

Boosting with Structural Sparsity: A Differential Inclusion Approach

Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective

Learning the Mapping x↦∑i=1dx2i: the Cost of Finding the Needle in a Haystack

Rethinking Breiman's Dilemma in Neural Networks: Phase Transitions of Margin Dynamics

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths

Who Likes What? – SplitLBI in Exploring Preferential Diversity of Ratings

From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation

On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming

Data-driven tight frame for Cryo-EM image denoising and conformational classification

Deep Robust Subjective Visual Property Prediction in Crowdsourcing

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths

Global Convergence of Block Coordinate Descent in Deep Learning

Global Convergence of Block Coordinate Descent in Deep Learning

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI

Polyimide-Based Flexible 3-Coil Inductive Link Design and Optimization

Robust Estimation And Generative Adversarial Networks

Zero-shot Learning via Recurrent Knowledge Transfer

A Tutorial on Libra : R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics

A Margin-based MLE for Crowdsourced Partial Ranking

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training

A unified dynamic approach to sparse model selection

FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction

HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

Stochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size

Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics

Exploring Outliers in Crowdsourced Ranking for QoE

GSplit LBI:: Taming the Procedural Bias in Neuroimaging for Disease Prediction

Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs

Geometric tight frame based stylometry for art authentication of van Gogh paintings

Learning rates of regression with q-norm loss and threshold

Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels

Sparse recovery via differential inclusions

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation

Split LBI: An Iterative Regularization Path with Structural Sparsity

A Dynamic Approach to Variable Selection in High Dimensional Statistics – with R package Libra

Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications

Compressive network analysis

Efficacy of fixed filtration for rapid kVp-switching dual energy x-ray systems

Online hodgerank on random graphs for crowdsourceable QoE evaluation

Online learning as stochastic approximation of regularization paths: Optimality and almost-sure convergence

Interestingness Prediction by Robust Learning to Rank

Property Management in Wireless Sensor Networks with Overcomplete Radon Bases

The Landscape of Complex Networks: Critical Nodes and A Hierarchical Decomposition

Hodge Theory and Applications in Data Analysis

Liver Imaging: Image Quality Evaluation and Comparison between Single and Dual Energy Protocols

On Early Stopping and Path Consistency of Bregman Iteration

Robust Evaluation for Quality of Experience in Crowdsourcing

Robust Ranking with Hodge Decomposition

HodgeRank on random graphs for subjective video quality assessment

Detecting Network Cliques with Radon Basis Pursuit

Efficacy of fixed filtration for rapid kVp-switching dual energy X-ray systems: Experimental verification

Online crowdsourcing subjective image quality assessment

Phase transitions in robust ranking

Phylogenetic Trees via Algebraic Invariants

Statistical Ranking and Combinatorial Hodge Theory

HodgeRank on Random Graphs

Overcomplete Radon Bases for Target Property Management in Sensor Networks

Progress in Geometric and Topological Data Analysis

Random partial paired comparison for subjective video quality assessment via hodgerank

Simulating human saccadic scanpaths on natural images

Cross-validation based adaptation for regularization operators in learning theory

On Complexity Issue of Online Learning Algorithms

Combinatorial Hodge Theory and Statistical Ranking

Constructing Multi-Resolution Markov State Models (MSMS) to Elucidate RNA Hairpin Folding Mechanisms

Hodge Decomposition of Paired Comparison Flows in Click-through Data

Topological Methods for Exploring Low-density States on Biomolecular Folding Pathways

Structural Insight into RNA Hairpin Folding Intermediates

A Dynamic Theory of Learning

On Early Stopping in Gradient Descent Learning

Combinatorial Laplacians and Rank Aggregation

Topology Learning of High Dimensional Probability Density Functions

Online Learning Algorithms

Mercer’s Theorem, Feature Maps, and Smoothing

Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines

Global optimal robust controller design

A New Machine Learning Approach to Fingerprint Classification

Fingerprint Classification with Combinations of Support Vector Machines

Application of Fuzzy Cellular Neural Networks to Stone Inscription Reconstruction in Chinese Calligraphy

Morphological reconstruction for color image implemented by cellular neural networks

On the Application Problem of the Gap Metric for SISO Systems

Identifying Noise Model in Closed-Loop Using Subspace Method

Multiscale Morphology for Color Images Implemented by Fuzzy Cellular Neural Network

Robust Gain-scheduled H_infinity control with Constant Diagonal Scaling

FEM-Based Modeling in Servo Design

Application of Quadratic Stabilization, Constantly Scaled H∞ control and µ-Synthesis

A Tutorial on Libra : R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics

Book chapter

A Margin-based MLE for Crowdsourced Partial Ranking

Conference paper

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training

Conference paper

A unified dynamic approach to sparse model selection

Conference paper

FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis

Conference paper

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction

Conference paper

HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation

Conference paper

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

Conference paper

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning

Conference paper

Stochastic Non-Convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size

Conference paper

Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics

Conference paper

Exploring Outliers in Crowdsourced Ranking for QoE

Conference paper

GSplit LBI:: Taming the Procedural Bias in Neuroimaging for Disease Prediction

Conference paper

Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs

Article

Geometric tight frame based stylometry for art authentication of van Gogh paintings

Article

Learning rates of regression with q-norm loss and threshold

Article

Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels

Article

Sparse recovery via differential inclusions

Article

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

Conference paper

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking

Conference paper

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation

Conference paper

Split LBI: An Iterative Regularization Path with Structural Sparsity

Conference paper

A Dynamic Approach to Variable Selection in High Dimensional Statistics – with R package Libra

Conference paper

Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications

Conference paper

Compressive network analysis

Article

Efficacy of fixed filtration for rapid kVp-switching dual energy x-ray systems

Article

Online hodgerank on random graphs for crowdsourceable QoE evaluation

Article

Online learning as stochastic approximation of regularization paths: Optimality and almost-sure convergence

Article

Interestingness Prediction by Robust Learning to Rank

Conference paper

Property Management in Wireless Sensor Networks with Overcomplete Radon Bases

Article

The Landscape of Complex Networks: Critical Nodes and A Hierarchical Decomposition

Article

Hodge Theory and Applications in Data Analysis

Conference paper

Liver Imaging: Image Quality Evaluation and Comparison between Single and Dual Energy Protocols

Conference paper

On Early Stopping and Path Consistency of Bregman Iteration

Conference paper

Robust Evaluation for Quality of Experience in Crowdsourcing

Conference paper

Robust Ranking with Hodge Decomposition

Conference paper

HodgeRank on random graphs for subjective video quality assessment

Article

Detecting Network Cliques with Radon Basis Pursuit

Conference paper

Efficacy of fixed filtration for rapid kVp-switching dual energy X-ray systems: Experimental verification

Conference paper

Online crowdsourcing subjective image quality assessment

Conference paper

Phase transitions in robust ranking

Conference paper

Phylogenetic Trees via Algebraic Invariants

Conference paper

Statistical Ranking and Combinatorial Hodge Theory

Article

HodgeRank on Random Graphs

Conference paper

Overcomplete Radon Bases for Target Property Management in Sensor Networks

Conference paper

Progress in Geometric and Topological Data Analysis

Conference paper

Random partial paired comparison for subjective video quality assessment via hodgerank

Conference paper

Simulating human saccadic scanpaths on natural images

Conference paper

Cross-validation based adaptation for regularization operators in learning theory

Article

On Complexity Issue of Online Learning Algorithms

Article

Combinatorial Hodge Theory and Statistical Ranking

Conference paper

Constructing Multi-Resolution Markov State Models (MSMS) to Elucidate RNA Hairpin Folding Mechanisms

Conference paper

Hodge Decomposition of Paired Comparison Flows in Click-through Data

Conference paper

Topological Methods for Exploring Low-density States on Biomolecular Folding Pathways

Article

Structural Insight into RNA Hairpin Folding Intermediates

Article

A Dynamic Theory of Learning

Book

On Early Stopping in Gradient Descent Learning

Article

Combinatorial Laplacians and Rank Aggregation

Conference paper

Topology Learning of High Dimensional Probability Density Functions

Conference paper

Online Learning Algorithms

Article

Mercer’s Theorem, Feature Maps, and Smoothing

Conference paper

Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines

Article

Global optimal robust controller design

Article

A New Machine Learning Approach to Fingerprint Classification

Conference paper

Fingerprint Classification with Combinations of Support Vector Machines

Conference paper

Application of Fuzzy Cellular Neural Networks to Stone Inscription Reconstruction in Chinese Calligraphy

Article

Morphological reconstruction for color image implemented by cellular neural networks

Article

On the Application Problem of the Gap Metric for SISO Systems

Article

Identifying Noise Model in Closed-Loop Using Subspace Method

Conference paper

Multiscale Morphology for Color Images Implemented by Fuzzy Cellular Neural Network

Conference paper

Robust Gain-scheduled H_infinity control with Constant Diagonal Scaling

Conference paper

FEM-Based Modeling in Servo Design

Article

Application of Quadratic Stabilization, Constantly Scaled H∞ control and µ-Synthesis

Conference paper