b'Jian Huang'

research

∙ 09/12/2023

RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design

Software-defined networking (SDN) and software-defined flash (SDF) have ...

0 Benjamin Reidys, et al. ∙

research

∙ 09/02/2023

Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models

We propose a general approach to evaluating the performance of robust es...

0 Changyu Liu, et al. ∙

research

∙ 06/27/2023

Wasserstein Generative Regression

In this paper, we propose a new and unified approach for nonparametric r...

0 Shanshan Song, et al. ∙

research

∙ 05/01/2023

Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression

We study the properties of differentiable neural networks activated by r...

0 Guohao Shen, et al. ∙

research

∙ 02/02/2023

CREPES: Cooperative RElative Pose EStimation towards Real-World Multi-Robot Systems

Mutual localization plays a crucial role in multi-robot systems. In this...

0 Zhiren Xun, et al. ∙

research

∙ 12/30/2022

LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives

In modern solid-state drives (SSDs), the indexing of flash pages is a cr...

0 Jinghan Sun, et al. ∙

research

∙ 10/18/2022

Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction

We propose a nonparametric quantile regression method using deep neural ...

0 Wenlu Tang, et al. ∙

research

∙ 10/03/2022

Inference on High-dimensional Single-index Models with Streaming Data

Traditional statistical methods are faced with new challenges due to str...

0 Dongxiao Han, et al. ∙

research

∙ 07/21/2022

Deep Sufficient Representation Learning via Mutual Information

We propose a mutual information-based sufficient representation learning...

0 Siming Zheng, et al. ∙

research

∙ 07/21/2022

Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks

We propose a penalized nonparametric approach to estimating the quantile...

0 Guohao Shen, et al. ∙

research

∙ 06/12/2022

RSSD: Defend against Ransomware with Hardware-Isolated Network-Storage Codesign and Post-Attack Analysis

Encryption ransomware has become a notorious malware. It encrypts user d...

0 Benjamin Reidys, et al. ∙

research

∙ 05/19/2022

Deep Generative Survival Analysis: Nonparametric Estimation of Conditional Survival Function

We propose a deep generative approach to nonparametric estimation of con...

0 Xingyu Zhou, et al. ∙

research

∙ 05/13/2022

UniHeap: Managing Persistent Objects Across Managed Runtimes for Non-Volatile Memory

Byte-addressable, non-volatile memory (NVM) is emerging as a promising t...

0 Daixuan Li, et al. ∙

research

∙ 05/12/2022

Building A Trusted Execution Environment for In-Storage Computing

In-storage computing with modern solid-state drives (SSDs) enables devel...

0 Yuqi Xue, et al. ∙

research

∙ 04/26/2022

The Security War in File Systems: An Empirical Study from A Vulnerability-Centric Perspective

This paper presents a systematic study on the security of modern file sy...

0 Jinghan Sun, et al. ∙

research

∙ 12/19/2021

Wasserstein Generative Learning of Conditional Distribution

Conditional distribution is a fundamental quantity for describing the re...

19 Shiao Liu, et al. ∙

research

∙ 10/24/2021

Non-Asymptotic Error Bounds for Bidirectional GANs

We derive nearly sharp bounds for the bidirectional GAN (BiGAN) estimati...

0 Shiao Liu, et al. ∙

research

∙ 10/19/2021

A Deep Generative Approach to Conditional Sampling

We propose a deep generative approach to sampling from a conditional dis...

0 Xingyu Zhou, et al. ∙

research

∙ 10/17/2021

A Learning-based Approach Towards Automated Tuning of SSD Configurations

Thanks to the mature manufacturing techniques, solid-state drives (SSDs)...

0 Daixuan Li, et al. ∙

research

∙ 10/06/2021

Relative Entropy Gradient Sampler for Unnormalized Distributions

We propose a relative entropy gradient sampler (REGS) for sampling from ...

2 Xingdong Feng, et al. ∙

research

∙ 09/08/2021

IceClave: A Trusted Execution Environment for In-Storage Computing

In-storage computing with modern solid-state drives (SSDs) enables devel...

0 Luyi Kang, et al. ∙

research

∙ 08/10/2021

Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data

In this paper we develop an online statistical inference approach for hi...

0 Lan Luo, et al. ∙

research

∙ 07/21/2021

Robust Nonparametric Regression with Deep Neural Networks

In this paper, we study the properties of robust nonparametric estimatio...

0 Guohao Shen, et al. ∙

research

∙ 07/10/2021

Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition

This paper considers the problem of nonparametric quantile regression un...

0 Guohao Shen, et al. ∙

research

∙ 06/21/2021

Schrödinger-Föllmer Sampler: Sampling without Ergodicity

Sampling from probability distributions is an important problem in stati...

0 Jian Huang, et al. ∙

research

∙ 06/10/2021

Online Debiased Lasso

We propose an online debiased lasso (ODL) method for statistical inferen...

0 Ruijian Han, et al. ∙

research

∙ 05/27/2021

An error analysis of generative adversarial networks for learning distributions

This paper studies how well generative adversarial networks (GANs) learn...

0 Jian Huang, et al. ∙

research

∙ 05/01/2021

Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks

In this paper, we consider the problem of binary classification with a c...

0 Guohao Shen, et al. ∙

research

∙ 04/14/2021

Deep Nonparametric Regression on Approximately Low-dimensional Manifolds

In this paper, we study the properties of nonparametric least squares re...

0 Yuling Jiao, et al. ∙

research

∙ 12/11/2020

Generative Learning With Euler Particle Transport

We propose an Euler particle transport (EPT) approach for generative lea...

22 Yuan Gao, et al. ∙

research

∙ 10/30/2020

EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks

Research and development of electroencephalogram (EEG) based brain-compu...

0 Lubin Meng, et al. ∙

research

∙ 07/03/2020

Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline

Transfer learning (TL) has been widely used in electroencephalogram (EEG...

0 Dongrui Wu, et al. ∙

research

∙ 06/10/2020

Deep Dimension Reduction for Supervised Representation Learning

The success of deep supervised learning depends on its automatic data re...

37 Jian Huang, et al. ∙

research

∙ 05/26/2020

Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games

In Markov games, playing against non-stationary opponents with learning ...

6 Hao Chen, et al. ∙

research

∙ 03/25/2020

QoS-Based Source and Relay Secure Optimization Design with Presence of Channel Uncertainty

In this letter, we study relay-aided networks with presence of single ea...

0 Meng Zhang, et al. ∙

research

∙ 02/09/2020

ℓ_0-Regularized High-dimensional Accelerated Failure Time Model

We develop a constructive approach for ℓ_0-penalized estimation in the s...

0 Xingdong Feng, et al. ∙

research

∙ 02/07/2020

Learning Implicit Generative Models with Theoretical Guarantees

We propose a unified framework for implicit generative modeling (UnifiGe...

0 Yuan Gao, et al. ∙

research

∙ 01/27/2020

On Newton Screening

Screening and working set techniques are important approaches to reducin...

0 Jian Huang, et al. ∙

research

∙ 01/16/2020

A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models

Feature selection is important for modeling high-dimensional data, where...

0 Jian Huang, et al. ∙

research

∙ 10/24/2019

Domain adversarial learning for emotion recognition

In practical applications for emotion recognition, users do not always e...

0 Zheng Lian, et al. ∙

research

∙ 10/24/2019

Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition

Prior works on speech emotion recognition utilize various unsupervised l...

0 Zheng Lian, et al. ∙

research

∙ 10/24/2019

Conversational Emotion Analysis via Attention Mechanisms

Different from the emotion recognition in individual utterances, we prop...

0 Zheng Lian, et al. ∙

research

∙ 10/23/2019

Speech Emotion Recognition via Contrastive Loss under Siamese Networks

Speech emotion recognition is an important aspect of human-computer inte...

0 Zheng Lian, et al. ∙

research

∙ 03/25/2019

On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression

Fuzzy systems have achieved great success in numerous applications. Howe...

0 Dongrui Wu, et al. ∙

research

∙ 11/11/2018

Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning

Speech emotion recognition is an important aspect of human-computer inte...

0 Zheng Lian, et al. ∙

research

∙ 10/09/2018

SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties

We propose a semismooth Newton algorithm for pathwise optimization (SNAP...

0 Jian Huang, et al. ∙

research

∙ 09/13/2018

Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition

Automatic emotion recognition is a challenging task. In this paper, we p...

0 Zheng Lian, et al. ∙

research

∙ 08/08/2018

Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression

Acquisition of labeled training samples for affective computing is usual...

0 Dongrui Wu, et al. ∙

research

∙ 08/08/2018

Active Learning for Regression Using Greedy Sampling

Regression problems are pervasive in real-world applications. Generally ...

0 Dongrui Wu, et al. ∙

research

∙ 05/03/2018

REMI: Regression with marginal information and its application in genome-wide association studies

In this study, we consider the problem of variable selection and estimat...

0 Jian Huang, et al. ∙

Jian Huang

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