Search Results for author: Wenting Wang

Found 15 papers, 9 papers with code

Parametrically driven inertial sensing in chip-scale optomechanical cavities at the thermodynamical limits with extended dynamic range

no code implementations31 Oct 2022 Jaime Gonzalo Flor Flores, Talha Yerebakan, Wenting Wang, Mingbin Yu, Dim-Lee Kwong, Andrey Matsko, Chee Wei Wong

We demonstrate theoretical and physical agreement and characterize the most relevant performance parameters with a device with 1. 5mg/Hz acceleration sensitivity, a 2. 5 fm/Hz1/2 displacement resolution corresponding to a 17. 02 ug/Hz1/2 force-equivalent acceleration, and a 5. 91 Hz/nW power sensitivity, at the thermodynamical limits.

Autonomous Driving

LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation

2 code implementations19 Oct 2022 Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan

Entity Alignment (EA) aims to find equivalent entity pairs between KGs, which is the core step of bridging and integrating multi-source KGs.

Entity Alignment

From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment

1 code implementation EMNLP 2021 Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan

Cross-lingual entity alignment (EA) aims to find the equivalent entities between crosslingual KGs, which is a crucial step for integrating KGs.

Ranked #4 on Entity Alignment on dbp15k fr-en (using extra training data)

Entity Alignment

Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness

1 code implementation11 Aug 2021 Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan

Entity alignment (EA) aims to find the equivalent entities in different KGs, which is a crucial step in integrating multiple KGs.

Ranked #6 on Entity Alignment on dbp15k ja-en (using extra training data)

Entity Alignment Graph Sampling

Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining

1 code implementation29 Mar 2021 Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan

Seeking the equivalent entities among multi-source Knowledge Graphs (KGs) is the pivotal step to KGs integration, also known as \emph{entity alignment} (EA).

Entity Alignment Knowledge Graphs

Relational Reflection Entity Alignment

2 code implementations18 Aug 2020 Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan

Entity alignment aims to identify equivalent entity pairs from different Knowledge Graphs (KGs), which is essential in integrating multi-source KGs.

Entity Alignment Knowledge Graphs +1

MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph

1 code implementation The International Conference on Web Search and Data Mining (WSDM) 2020 Xin Mao, Wenting Wang, Huimin Xu, Man Lan, Yuanbin Wu

To tackle these challenges, we propose a novel Meta Relation Aware Entity Alignment (MRAEA) to directly model cross-lingual entity embeddings by attending over the node's incoming and outgoing neighbors and its connected relations' meta semantics.

Entity Alignment Entity Embeddings +3

ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models

1 code implementation16 Jan 2020 Wenting Wang, Deeksha Arya, Nicole Novielli, Jinghui Cheng, Jin L. C. Guo

In open-source software (OSS), the design of usability is often influenced by the discussions among community members on platforms such as issue tracking systems (ITSs).

Human-Computer Interaction Software Engineering

Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning

no code implementations IEEE 2018 Feixiang Wang, Man Lan, Wenting Wang

Previous studies usually divided aspect-based sentiment analysis into several subtasks in pipeline, i. e., first aspect term and/or opinion term extraction, then aspect-based sentiment prediction, resulting in error propagation and external resources dependency.

Aspect-Based Sentiment Analysis Aspect Extraction +2

The orbital PDF: general inference of the gravitational potential from steady-state tracers

1 code implementation2 Jul 2015 Jiaxin Han, Wenting Wang, Shaun Cole, Carlos S. Frenk

We develop two general methods to infer the gravitational potential of a system using steady-state tracers, i. e., tracers with a time-independent phase-space distribution.

Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics

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