Hysteresis-Dependent Synchronized Load Shift Keying and Reconfigurable Class-D Power Amplifier-Based Fully Integrated Adaptive Control in Wireless Power Transfer System

Leveraging Transformer Models to Capture Multi-Scale Dynamics in Biomolecules by Nano-GPT

Unveiling hidden reaction kinetics of carbon dioxide in supercritical aqueous solutions

A Dual-Mode One-stage R³ Rectifier with Wide Loading Range for Implantable Medical Devices

Analysis and Prevention of Coupling-Dependent Data Flipping in Series-Series Resonant Wireless Power Transfer Systems

Dynamic guided and domain applicable safeguards for enhanced security in large language models

Elucidating the design space of language models for image generation

E-NPU: A 34126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables

FedAPM: Federated Learning via ADMM with Partial Model Personalization

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning

Guide for Defense (G4D): Dynamic Guidance for Robust and Balanced Defense in Large Language Models

InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery

LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians

NeuroEye: A 54.59mW, 12200FPS Event-Driven Near-Sensor Eye-Tracking Processor with Pipelined Spatial-Temporal Spike-Streaming

VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service

Controlling the false discovery rate in transformational sparsity: Split Knockoffs

Deep learning based local feature classification to automatically identify single molecule fluorescence events

Differentially private federated learning with Laplacian smoothing

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

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

Random Smoothing Regularization in Kernel Gradient Descent Learning

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

Towards Global Optimal Visual In-Context Learning Prompt Selection

UniGAD: Unifying Multi-level Graph Anomaly Detection

A Biosafety-aware Framework for Generative Enzyme Design with Foundation Models

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning

Learning Long Timescale in Molecular Dynamics by Nano-GPT

Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces

Inducing Neural Collapse in Deep Long-tailed Learning

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

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

Optimal Private Streaming SCO in `_p-geometry with Applications in High Dimensional Online Decision Making

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

Adversarial Robustness of Stabilized Neural ODE Might be from Obfuscated Gradients

Evaluating Visual Properties via Robust HodgeRank

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size

Learning the Mapping x↦∑i=1dxi2: the Cost of Finding the Needle in a Haystack

On ADMM in deep learning: Convergence and saturation-avoidance

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

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

iSplit LBI: Individualized partial ranking with ties via split LBI

On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming

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

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

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

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

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

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

Split LBI: An iterative regularization path with structural sparsity

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

NetworkSeer: Visual analysis for social network in MOOCs

Parsimonious mixed-effects hodgerank for crowdsourced preference aggregation

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

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

Hierarchical Nyström methods for constructing Markov state models for conformational dynamics

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

On Early Stopping and Path Consistency of Bregman Iteration

Robust evaluation for quality of experience in crowdsourcing

Robust Ranking with Hodge Decomposition

Detecting network cliques with radon basis pursuit

HodgeRank on random graphs for subjective video quality assessment

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 issues 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 in 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

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

On the Application Problem of the Gap Metric for SISO Systems

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

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

Article

iSplit LBI: Individualized partial ranking with ties via split LBI

Article

On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming

Article

Deep robust subjective visual property prediction in crowdsourcing

Conference paper

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

Conference paper

Global convergence of block coordinate descent in deep learning

Conference paper

Global Convergence of Block Coordinate Descent in Deep Learning

Conference paper

Robust estimation and generative adversarial networks

Conference paper

Zero-shot learning via recurrent knowledge transfer

Conference paper

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

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

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

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

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

Split LBI: An iterative regularization path with structural sparsity

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

NetworkSeer: Visual analysis for social network in MOOCs

Conference paper

Parsimonious mixed-effects hodgerank for crowdsourced preference aggregation

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

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

Hierarchical Nyström methods for constructing Markov state models for conformational dynamics

Article

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

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

Detecting network cliques with radon basis pursuit

Article

HodgeRank on random graphs for subjective video quality assessment

Article

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 issues 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 in 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

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

Article

On the Application Problem of the Gap Metric for SISO Systems

Article

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