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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 ...
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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...
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06/27/2023
Wasserstein Generative Regression
In this paper, we propose a new and unified approach for nonparametric r...
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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...
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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...
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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...
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10/18/2022
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction
We propose a nonparametric quantile regression method using deep neural ...
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10/03/2022
Inference on High-dimensional Single-index Models with Streaming Data
Traditional statistical methods are faced with new challenges due to str...
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07/21/2022
Deep Sufficient Representation Learning via Mutual Information
We propose a mutual information-based sufficient representation learning...
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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...
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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...
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05/19/2022
Deep Generative Survival Analysis: Nonparametric Estimation of Conditional Survival Function
We propose a deep generative approach to nonparametric estimation of con...
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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...
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05/12/2022
Building A Trusted Execution Environment for In-Storage Computing
In-storage computing with modern solid-state drives (SSDs) enables devel...
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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...
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12/19/2021
Wasserstein Generative Learning of Conditional Distribution
Conditional distribution is a fundamental quantity for describing the re...
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10/24/2021
Non-Asymptotic Error Bounds for Bidirectional GANs
We derive nearly sharp bounds for the bidirectional GAN (BiGAN) estimati...
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10/19/2021
A Deep Generative Approach to Conditional Sampling
We propose a deep generative approach to sampling from a conditional dis...
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10/17/2021
A Learning-based Approach Towards Automated Tuning of SSD Configurations
Thanks to the mature manufacturing techniques, solid-state drives (SSDs)...
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10/06/2021
Relative Entropy Gradient Sampler for Unnormalized Distributions
We propose a relative entropy gradient sampler (REGS) for sampling from ...
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09/08/2021
IceClave: A Trusted Execution Environment for In-Storage Computing
In-storage computing with modern solid-state drives (SSDs) enables devel...
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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...
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07/21/2021
Robust Nonparametric Regression with Deep Neural Networks
In this paper, we study the properties of robust nonparametric estimatio...
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07/10/2021
Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition
This paper considers the problem of nonparametric quantile regression un...
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06/21/2021
Schrödinger-Föllmer Sampler: Sampling without Ergodicity
Sampling from probability distributions is an important problem in stati...
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06/10/2021
Online Debiased Lasso
We propose an online debiased lasso (ODL) method for statistical inferen...
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05/27/2021
An error analysis of generative adversarial networks for learning distributions
This paper studies how well generative adversarial networks (GANs) learn...
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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...
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04/14/2021
Deep Nonparametric Regression on Approximately Low-dimensional Manifolds
In this paper, we study the properties of nonparametric least squares re...
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12/11/2020
Generative Learning With Euler Particle Transport
We propose an Euler particle transport (EPT) approach for generative lea...
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10/30/2020
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks
Research and development of electroencephalogram (EEG) based brain-compu...
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07/03/2020
Transfer Learning for Brain-Computer Interfaces: A Complete Pipeline
Transfer learning (TL) has been widely used in electroencephalogram (EEG...
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06/10/2020
Deep Dimension Reduction for Supervised Representation Learning
The success of deep supervised learning depends on its automatic data re...
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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 ...
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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...
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02/09/2020
â„“_0-Regularized High-dimensional Accelerated Failure Time Model
We develop a constructive approach for â„“_0-penalized estimation in the s...
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02/07/2020
Learning Implicit Generative Models with Theoretical Guarantees
We propose a unified framework for implicit generative modeling (UnifiGe...
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01/27/2020
On Newton Screening
Screening and working set techniques are important approaches to reducin...
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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...
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10/24/2019
Domain adversarial learning for emotion recognition
In practical applications for emotion recognition, users do not always e...
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10/24/2019
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition
Prior works on speech emotion recognition utilize various unsupervised l...
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10/24/2019
Conversational Emotion Analysis via Attention Mechanisms
Different from the emotion recognition in individual utterances, we prop...
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10/23/2019
Speech Emotion Recognition via Contrastive Loss under Siamese Networks
Speech emotion recognition is an important aspect of human-computer inte...
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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...
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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...
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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...
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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...
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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...
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08/08/2018
Active Learning for Regression Using Greedy Sampling
Regression problems are pervasive in real-world applications. Generally ...
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05/03/2018
