Lili Wang | DeepAI

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Featured Co-authors

YI LIU
156 publications
Ji Liu
135 publications
Kai Zhang
131 publications
Xiaoguang Han
77 publications
Soroush Vosoughi
54 publications
Jason Wei
34 publications
Ming Cao
29 publications
Ruibo Liu
24 publications
Weicheng Ma
15 publications
Mengbin Ye
13 publications
Brian D. O. Anderson
13 publications

∙ 08/07/2023

Feature-Suppressed Contrast for Self-Supervised Food Pre-training

Most previous approaches for analyzing food images have relied on extens...

0 Xinda Liu, et al. ∙

∙ 07/16/2023

Efficient Treatment Effect Estimation with Out-of-bag Post-stratification

Post-stratification is often used to estimate treatment effects with hig...

0 Taebin Kim, et al. ∙

∙ 06/01/2023

Graph-Level Embedding for Time-Evolving Graphs

Graph representation learning (also known as network embedding) has been...

0 Lili Wang, et al. ∙

∙ 12/07/2022

Label Guidance based Object Locating in Virtual Reality

Object locating in virtual reality (VR) has been widely used in many VR ...

0 Xiaoheng Wei, et al. ∙

∙ 11/15/2022

Foveated Rendering: a State-of-the-Art Survey

Recently, virtual reality (VR) technology has been widely used in medica...

0 Lili Wang, et al. ∙

∙ 08/05/2022

A Hybrid Observer for Estimating the State of a Distributed Linear System

A hybrid observer is described for estimating the state of a system of t...

0 Lili Wang, et al. ∙

∙ 03/28/2022

EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English

While cultural backgrounds have been shown to affect linguistic expressi...

0 Weicheng Ma, et al. ∙

∙ 09/14/2021

Embedding Node Structural Role Identity Using Stress Majorization

Nodes in networks may have one or more functions that determine their ro...

0 Lili Wang, et al. ∙

∙ 09/14/2021

Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization

Recent years have seen a rise in the development of representational lea...

0 Lili Wang, et al. ∙

∙ 09/13/2021

GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks

A key problem in multi-task learning (MTL) research is how to select hig...

0 Weicheng Ma, et al. ∙

∙ 08/18/2021

Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks

This paper studies the relative importance of attention heads in Transfo...

0 Weicheng Ma, et al. ∙

∙ 07/14/2021

Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition

Fine-grained image recognition is challenging because discriminative clu...

0 Xinda Liu, et al. ∙

∙ 06/18/2021

Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path

Networks found in the real-world are numerous and varied. A common type ...

8 Lili Wang, et al. ∙

∙ 04/30/2021

Mitigating Political Bias in Language Models Through Reinforced Calibration

Current large-scale language models can be politically biased as a resul...

6 Ruibo Liu, et al. ∙

∙ 01/05/2021

Political Depolarization of News Articles Using Attribute-aware Word Embeddings

Political polarization in the US is on the rise. This polarization negat...

8 Ruibo Liu, et al. ∙

∙ 12/07/2020

Improvements and Extensions on Metaphor Detection

Metaphors are ubiquitous in human language. The metaphor detection task ...

2 Weicheng Ma, et al. ∙

∙ 12/07/2020

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data

The field of NLP has seen unprecedented achievements in recent years. Mo...

8 Lili Wang, et al. ∙

∙ 12/05/2020

Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation

Data augmentation is proven to be effective in many NLU tasks, especiall...

16 Ruibo Liu, et al. ∙

∙ 11/03/2020

Embedding Node Structural Role Identity into Hyperbolic Space

Recently, there has been an interest in embedding networks in hyperbolic...

0 Lili Wang, et al. ∙

∙ 09/30/2020

Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding

Authorship identification tasks, which rely heavily on linguistic styles...

0 Weicheng Ma, et al. ∙

∙ 07/14/2020

Emoji Prediction: Extensions and Benchmarking

Emojis are a succinct form of language which can express concrete meanin...

0 Weicheng Ma, et al. ∙

∙ 06/13/2020

Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks

Instagram has become a great venue for amateur and professional photogra...

0 Lili Wang, et al. ∙

∙ 11/13/2019

A Simulation-free Group Sequential Design with Max-combo Tests in the Presence of Non-proportional Hazards

Non-proportional hazards (NPH) have been observed recently in many immun...

0 Lili Wang, et al. ∙

∙ 12/12/2018

Consensus and Disagreement of Heterogeneous Belief Systems in Influence Networks

Recently, an opinion dynamics model has been proposed to describe a netw...

0 Mengbin Ye, et al. ∙

∙ 12/28/2015

Outlier Detection In Large-scale Traffic Data By Naïve Bayes Method and Gaussian Mixture Model Method

It is meaningful to detect outliers in traffic data for traffic manageme...

0 Philip Lam, et al. ∙

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