
Tasting the cake: evaluating selfsupervised generalization on outofdistribution multimodal MRI data
Selfsupervised learning has enabled significant improvements on natural...
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Handson Guidance for Distilling Object Detectors
Knowledge distillation can lead to deployfriendly networks against the ...
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Taxonomy of multimodal selfsupervised representation learning
Sensory input from multiple sources is crucial for robust and coherent h...
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On selfsupervised multimodal representation learning: An application to Alzheimer's disease
Introspection of deep supervised predictive models trained on functional...
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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...
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Towards Understanding and Demystifying Bitcoin Mixing Services
The popularity of Bitcoin benefits a lot from its anonymity. However, th...
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Towards understanding flash loan and its applications in defi ecosystem
Flash Loan, as an emerging service in the decentralized finance ecosyste...
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Towards a Mathematical Understanding of Neural NetworkBased Machine Learning: what we know and what we don't
The purpose of this article is to review the achievements made in the la...
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Complexity Measures for Neural Networks with General Activation Functions Using Pathbased Norms
A simple approach is proposed to obtain complexity controls for neural n...
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A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms
The dynamic behavior of RMSprop and Adam algorithms is studied through a...
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The Slow Deterioration of the Generalization Error of the Random Feature Model
The random feature model exhibits a kind of resonance behavior when the ...
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Don't Fish in Troubled Waters! Characterizing Coronavirusthemed Cryptocurrency Scams
As COVID19 has been spreading across the world since early 2020, a grow...
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The QuenchingActivation Behavior of the Gradient Descent Dynamics for Twolayer Neural Network Models
A numerical and phenomenological study of the gradient descent (GD) algo...
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DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts
Cryptocurrency has seen an explosive growth in recent years, thanks to t...
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Beyond the Virus: A First Look at Coronavirusthemed Mobile Malware
As the COVID19 pandemic emerges in early 2020, a number of campaigns ha...
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EthScope: A Transactioncentric Security Analytics Framework to Detect Malicious Smart Contracts on Ethereum
As one of the representative blockchain platforms, Ethereum has attracte...
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Characterizing Cryptocurrency Exchange Scams
As the indispensable trading platforms of the ecosystem, hundreds of cry...
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Security Analysis of EOSIO Smart Contracts
The EOSIO blockchain, one of the representative Delegated ProofofStake...
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Machine learning based nonNewtonian fluid model with molecular fidelity
We introduce a machinelearningbased framework for constructing continu...
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Characterizing EOSIO Blockchain
EOSIO has become one of the most popular blockchain platforms since its ...
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Machine Learning from a Continuous Viewpoint
We present a continuous formulation of machine learning, as a problem in...
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On the Generalization Properties of Minimumnorm Solutions for Overparameterized Neural Network Models
We study the generalization properties of minimumnorm solutions for thr...
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Global Convergence of Gradient Descent for Deep Linear Residual Networks
We analyze the global convergence of gradient descent for deep linear re...
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Automated Deobfuscation of Android Native Binary Code
With the popularity of Android apps, different techniques have been prop...
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EVulHunter: Detecting Fake Transfer Vulnerabilities for EOSIO's Smart Contracts at Webassemblylevel
As one of the representative Delegated ProofofStake (DPoS) blockchain ...
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Barron Spaces and the Compositional Function Spaces for Neural Network Models
One of the key issues in the analysis of machine learning models is to i...
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Characterizing Code Clones in the Ethereum Smart Contract Ecosystem
In this paper, we present the first largescale and systematic study to ...
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Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skipconnections
The behavior of the gradient descent (GD) algorithm is analyzed for a de...
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A Comparative Analysis of the Optimization and Generalization Property of Twolayer Neural Network and Random Feature Models Under Gradient Descent Dynamics
A fairly comprehensive analysis is presented for the gradient descent dy...
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A Priori Estimates of the Generalization Error for Twolayer Neural Networks
New estimates for the generalization error are established for the twol...
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The Regularization Effects of Anisotropic Noise in Stochastic Gradient Descent
Understanding the generalization of deep learning has raised lots of con...
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Understanding and Enhancing the Transferability of Adversarial Examples
Stateoftheart deep neural networks are known to be vulnerable to adve...
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Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
It is widely observed that deep learning models with learned parameters ...
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Lei Wu
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