b'Lei Wu'

research

∙ 08/28/2023

9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation

The advancements in vision-based tactile sensors have boosted the aptitu...

0 Changyi Lin, et al. ∙

research

∙ 07/25/2023

Finding the spectral radius of a nonnegative irreducible symmetric tensor via DC programming

The Perron-Frobenius theorem says that the spectral radius of an irreduc...

0 Xueli Bai, et al. ∙

research

∙ 06/05/2023

The L^∞ Learnability of Reproducing Kernel Hilbert Spaces

In this work, we analyze the learnability of reproducing kernel Hilbert ...

0 Hongrui Chen, et al. ∙

research

∙ 05/30/2023

Embedding Inequalities for Barron-type Spaces

One of the fundamental problems in deep learning theory is understanding...

0 Lei Wu, et al. ∙

research

∙ 05/27/2023

The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent

In this paper, we study the implicit regularization of stochastic gradie...

0 Lei Wu, et al. ∙

research

∙ 05/15/2023

Theoretical Analysis of Inductive Biases in Deep Convolutional Networks

In this paper, we study the inductive biases in convolutional neural net...

0 Zihao Wang, et al. ∙

research

∙ 05/09/2023

A duality framework for generalization analysis of random feature models and two-layer neural networks

We consider the problem of learning functions in the ℱ_p,π and Barron sp...

0 Hongrui Chen, et al. ∙

research

∙ 04/25/2023

Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection

Recent years have witnessed explosive growth in blockchain smart contrac...

0 Peng Qian, et al. ∙

research

∙ 12/08/2022

A Novel Efficient Signcryption Scheme for Resource-Constrained Smart Terminals in Cyber-Physical Power Systems

Most of the existing signcryption schemes generate pseudonym by key gene...

0 Xue Li, et al. ∙

research

∙ 11/15/2022

Operation-level Concurrent Transaction Execution for Blockchains

Despite the success in various scenarios, blockchain systems, especially...

0 Haoran Lin, et al. ∙

research

∙ 09/07/2022

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

Recent neuroimaging studies that focus on predicting brain disorders via...

2 Alex Fedorov, et al. ∙

research

∙ 09/03/2022

Illegal But Not Malware: An Underground Economy App Detection System Based on Usage Scenario

This paper focuses on mobile apps serving the underground economy by pro...

0 Zhuo Chen, et al. ∙

research

∙ 08/27/2022

Improving Electricity Market Economy via Closed-Loop Predict-and-Optimize

The electricity market clearing is usually implemented via an open-loop ...

0 Xianbang Chen, et al. ∙

research

∙ 07/19/2022

A Survey on EOSIO Systems Security: Vulnerability, Attack, and Mitigation

EOSIO, as one of the most representative blockchain 3.0 platforms, invol...

0 Ningyu He, et al. ∙

research

∙ 07/12/2022

REZCR: A Zero-shot Character Recognition Method via Radical Extraction

The long-tail effect is a common issue that limits the performance of de...

10 Xiaolei Diao, et al. ∙

research

∙ 07/06/2022

When does SGD favor flat minima? A quantitative characterization via linear stability

The observation that stochastic gradient descent (SGD) favors flat minim...

0 Lei Wu, et al. ∙

research

∙ 07/05/2022

iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps

Vetting security impacts introduced by third-party libraries in iOS apps...

0 Jingyi Guo, et al. ∙

research

∙ 07/05/2022

Penny Wise and Pound Foolish: Quantifying the Risk of Unlimited Approval of ERC20 Tokens on Ethereum

The prosperity of decentralized finance motivates many investors to prof...

0 Dabao Wang, et al. ∙

research

∙ 05/17/2022

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images

Ultrasonography is an important routine examination for breast cancer di...

0 Yuhao Mo, et al. ∙

research

∙ 04/24/2022

The Multiscale Structure of Neural Network Loss Functions: The Effect on Optimization and Origin

Local quadratic approximation has been extensively used to study the opt...

10 Chao Ma, et al. ∙

research

∙ 03/10/2022

Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness

Robustness of deep neural networks (DNNs) to malicious perturbations is ...

0 Yiqi Zhong, et al. ∙

research

∙ 02/16/2022

Learning a Single Neuron for Non-monotonic Activation Functions

We study the problem of learning a single neuron 𝐱↦σ(𝐰^T𝐱) with gradient...

0 Lei Wu, et al. ∙

research

∙ 10/17/2021

Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems

The integration of air and ground smart vehicles is becoming a new parad...

0 Yongxin Liu, et al. ∙

research

∙ 10/14/2021

Understanding the Evolution of Blockchain Ecosystems: A Longitudinal Measurement Study of Bitcoin, Ethereum, and EOSIO

The continuing expansion of the blockchain ecosystems has attracted much...

0 Ningyu He, et al. ∙

research

∙ 08/23/2021

Efficient Medical Image Segmentation Based on Knowledge Distillation

Recent advances have been made in applying convolutional neural networks...

15 Dian Qin, et al. ∙

research

∙ 08/10/2021

Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay

In this paper, we present a spectral-based approach to study the linear ...

0 Jihao Long, et al. ∙

research

∙ 06/10/2021

Lifting The Grey Curtain: A First Look at the Ecosystem of CULPRITWARE

Mobile apps are extensively involved in cyber-crimes. Some apps are malw...

0 Zhuo Chen, et al. ∙

research

∙ 05/29/2021

A Measurement Study on the (In)security of End-of-Life (EoL) Embedded Devices

Embedded devices are becoming popular. Meanwhile, researchers are active...

0 Dingding Wang, et al. ∙

research

∙ 05/29/2021

ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels

Dynamic analysis based on the full-system emulator QEMU is widely used f...

0 Muhui Jiang, et al. ∙

research

∙ 05/29/2021

Examiner: Automatically Locating Inconsistent Instructions Between Real Devices and CPU Emulators for ARM

Emulator is widely used to build dynamic analysis frameworks due to its ...

0 Muhui Jiang, et al. ∙

research

∙ 04/30/2021

DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications

The rapid growth of Decentralized Finance (DeFi) boosts the Ethereum eco...

0 Siwei Wu, et al. ∙

research

∙ 03/29/2021

Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data

Self-supervised learning has enabled significant improvements on natural...

25 Alex Fedorov, et al. ∙

research

∙ 03/26/2021

Hands-on Guidance for Distilling Object Detectors

Knowledge distillation can lead to deploy-friendly networks against the ...

0 Yangyang Qin, et al. ∙

research

∙ 12/25/2020

Taxonomy of multimodal self-supervised representation learning

Sensory input from multiple sources is crucial for robust and coherent h...

12 Alex Fedorov, et al. ∙

research

∙ 12/25/2020

On self-supervised multi-modal representation learning: An application to Alzheimer's disease

Introspection of deep supervised predictive models trained on functional...

20 Alex Fedorov, et al. ∙

research

∙ 12/02/2020

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts

WebAssemly is an emerging runtime for Web applications and has been supp...

0 Shuyu Zheng, et al. ∙

research

∙ 10/30/2020

Towards Understanding and Demystifying Bitcoin Mixing Services

The popularity of Bitcoin benefits a lot from its anonymity. However, th...

0 Lei Wu, et al. ∙

research

∙ 10/23/2020

Towards understanding flash loan and its applications in defi ecosystem

Flash Loan, as an emerging service in the decentralized finance ecosyste...

0 Dabao Wang, et al. ∙

research

∙ 09/22/2020

Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't

The purpose of this article is to review the achievements made in the la...

270 Weinan E, et al. ∙

research

∙ 09/14/2020

Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms

A simple approach is proposed to obtain complexity controls for neural n...

14 Zhong Li, et al. ∙

research

∙ 09/14/2020

A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms

The dynamic behavior of RMSprop and Adam algorithms is studied through a...

27 Chao Ma, et al. ∙

research

∙ 08/13/2020

The Slow Deterioration of the Generalization Error of the Random Feature Model

The random feature model exhibits a kind of resonance behavior when the ...

45 Chao Ma, et al. ∙

research

∙ 07/27/2020

Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams

As COVID-19 has been spreading across the world since early 2020, a grow...

0 Pengcheng Xia, et al. ∙

research

∙ 06/25/2020

The Quenching-Activation Behavior of the Gradient Descent Dynamics for Two-layer Neural Network Models

A numerical and phenomenological study of the gradient descent (GD) algo...

6 Chao Ma, et al. ∙

research

∙ 06/11/2020

DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts

Cryptocurrency has seen an explosive growth in recent years, thanks to t...

0 Ru Ji, et al. ∙

research

∙ 05/29/2020

Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware

As the COVID-19 pandemic emerges in early 2020, a number of campaigns ha...

0 Ren He, et al. ∙

research

∙ 05/17/2020

EthScope: A Transaction-centric Security Analytics Framework to Detect Malicious Smart Contracts on Ethereum

As one of the representative blockchain platforms, Ethereum has attracte...

0 Lei Wu, et al. ∙

research

∙ 03/16/2020

Characterizing Cryptocurrency Exchange Scams

As the indispensable trading platforms of the ecosystem, hundreds of cry...

0 Pengcheng Xia, et al. ∙

research

∙ 03/14/2020

Security Analysis of EOSIO Smart Contracts

The EOSIO blockchain, one of the representative Delegated Proof-of-Stake...

0 Ningyu He, et al. ∙

research

∙ 03/07/2020

Machine learning based non-Newtonian fluid model with molecular fidelity

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

12 Huan Lei, et al. ∙

Lei Wu

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