Search Results for author: Wenting Li

Found 12 papers, 3 papers with code

Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks

no code implementations22 Mar 2024 Joe Gorka, Tim Hsu, Wenting Li, Yury Maximov, Line Roald

Higher variability in grid conditions, resulting from growing renewable penetration and increased incidence of extreme weather events, has increased the difficulty of screening for scenarios that may lead to catastrophic cascading failures.

severity prediction

Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk technique

no code implementations11 Jan 2023 Wenting Li, Jiahong Xue, Xi Zhang, Huacan Chen, Zeyu Chen, Feijuan Huang, Yuanzhe Cai

Word embedding has become ubiquitous and is widely used in various natural language processing (NLP) tasks, such as web retrieval, web semantic analysis, and machine translation, and so on.

Information Retrieval Machine Translation +1

Ranking-Based Physics-Informed Line Failure Detection in Power Grids

no code implementations31 Aug 2022 Aleksandra Burashnikova, Wenting Li, Massih Amini, Deepjoyti Deka, Yury Maximov

Climate change increases the number of extreme weather events (wind and snowstorms, heavy rains, wildfires) that compromise power system reliability and lead to multiple equipment failures.

A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data

1 code implementation17 Aug 2022 Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo

In this work, a parameter-efficient attention module is presented for emotion classification using a limited, or relatively small, number of electroencephalogram (EEG) signals.

EEG Electroencephalogram (EEG) +1

High-resolution chirplet transform: from parameters analysis to parameters combination

no code implementations2 Aug 2021 Xiangxiang Zhu, Bei Li, Kunde Yang, Zhuosheng Zhang, Wenting Li

The standard chirplet transform (CT) with a chirp-modulated Gaussian window provides a valuable tool for analyzing linear chirp signals.

Vocal Bursts Intensity Prediction

PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels

no code implementations5 Jul 2021 Wenting Li, Deepjyoti Deka

We propose a novel Physics-Preserved Graph Network (PPGN) architecture to accurately locate faults at the node level with limited observability and labeled training data.

Graph Embedding Graph Learning

Machine Learning for Variance Reduction in Online Experiments

no code implementations NeurIPS 2021 Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman

We consider the problem of variance reduction in randomized controlled trials, through the use of covariates correlated with the outcome but independent of the treatment.

BIG-bench Machine Learning

EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts

2 code implementations1 Oct 2020 Michael Rodler, Wenting Li, Ghassan O. Karame, Lucas Davi

We perform a study with experienced software developers, showing that EVMPatch is practical, and reduces the time for converting a given Solidity smart contract to an upgradable contract by 97. 6 %, while ensuring functional equivalence to the original contract.

Cryptography and Security Distributed, Parallel, and Cluster Computing

Physics-Informed Learning for High Impedance Faults Detection

no code implementations5 Aug 2020 Wenting Li, Deepjyoti Deka

High impedance faults (HIFs) in distribution grids may cause wildfires and threaten human lives.

Vocal Bursts Intensity Prediction

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

1 code implementation14 Dec 2018 Michael Rodler, Wenting Li, Ghassan O. Karame, Lucas Davi

Recently, a number of existing blockchain systems have witnessed major bugs and vulnerabilities within smart contracts.

Cryptography and Security

Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks

no code implementations11 Oct 2018 Wenting Li, Deepjyoti Deka, Michael Chertkov, Meng Wang

Diverse fault types, fast re-closures, and complicated transient states after a fault event make real-time fault location in power grids challenging.

ReplicaTEE: Enabling Seamless Replication of SGX Enclaves in the Cloud

no code implementations13 Sep 2018 Claudio Soriente, Ghassan Karame, Wenting Li, Sergey Fedorov

With the proliferation of Trusted Execution Environments (TEEs) such as Intel SGX, a number of cloud providers will soon introduce TEE capabilities within their offering (e. g., Microsoft Azure).

Cryptography and Security

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