Search Results for author: ZiYun Wang

Found 13 papers, 5 papers with code

Improving Load Forecast in Energy Markets During COVID-19

no code implementations1 Oct 2021 ZiYun Wang, Hao Wang

The abrupt outbreak of the COVID-19 pandemic was the most significant event in 2020, which had profound and lasting impacts across the world.

Load Forecasting

Cross-lingual Text Classification with Heterogeneous Graph Neural Network

1 code implementation ACL 2021 ZiYun Wang, Xuan Liu, Peiji Yang, Shixing Liu, Zhisheng Wang

Cross-lingual text classification aims at training a classifier on the source language and transferring the knowledge to target languages, which is very useful for low-resource languages.

Classification Pretrained Language Models +3

Geodesic-HOF: 3D Reconstruction Without Cutting Corners

no code implementations14 Jun 2020 Ziyun Wang, Eric A. Mitchell, Volkan Isler, Daniel D. Lee

To address this issue, we propose learning an image-conditioned mapping function from a canonical sampling domain to a high dimensional space where the Euclidean distance is equal to the geodesic distance on the object.

3D Object Reconstruction 3D Reconstruction

Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks

no code implementations18 Dec 2019 Ziyun Wang, Volkan Isler, Daniel D. Lee

Our approach is to learn a Higher Order Function (HOF) which takes an image of an object as input and generates a mapping function.

3D Reconstruction Image Reconstruction +1

EventGAN: Leveraging Large Scale Image Datasets for Event Cameras

1 code implementation3 Dec 2019 Alex Zihao Zhu, ZiYun Wang, Kaung Khant, Kostas Daniilidis

Event cameras provide a number of benefits over traditional cameras, such as the ability to track incredibly fast motions, high dynamic range, and low power consumption.

Image Reconstruction object-detection +3

Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform

no code implementations28 Nov 2019 Ziyun Wang

In this work, we focus on using convolution neural networks (CNN) to perform object recognition on the event data.

Object Recognition

Modeling question asking using neural program generation

1 code implementation23 Jul 2019 Ziyun Wang, Brenden M. Lake

People ask questions that are far richer, more informative, and more creative than current AI systems.

Question Generation reinforcement-learning

Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform

no code implementations18 Feb 2019 Alex Zihao Zhu, ZiYun Wang, Kostas Daniilidis

In this work, we propose a novel transformation for events from an event camera that is equivariant to optical flow under convolutions in the 3-D spatiotemporal domain.

Data Augmentation General Classification +1

Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion

no code implementations20 Dec 2018 Alex Zihao Zhu, Wenxin Liu, ZiYun Wang, Vijay Kumar, Kostas Daniilidis

In this work, we propose a method that combines unsupervised deep learning predictions for optical flow and monocular disparity with a model based optimization procedure for instantaneous camera pose.

Optical Flow Estimation

Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection

no code implementations NAACL 2018 Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum

Modeling hypernymy, such as poodle is-a dog, is an important generalization aid to many NLP tasks, such as entailment, coreference, relation extraction, and question answering.

Hypernym Discovery Question Answering +1

Topic Sensitive Neural Headline Generation

no code implementations20 Aug 2016 Lei Xu, ZiYun Wang, Ayana, Zhiyuan Liu, Maosong Sun

Neural models have recently been used in text summarization including headline generation.

Headline generation Text Summarization

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