Search Results for author: Yichao Zhou

Found 26 papers, 14 papers with code

An Augmentation Strategy for Visually Rich Documents

no code implementations20 Dec 2022 Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata

Many business workflows require extracting important fields from form-like documents (e. g. bank statements, bills of lading, purchase orders, etc.).

Data Augmentation

VRDU: A Benchmark for Visually-rich Document Understanding

no code implementations15 Nov 2022 Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata

Understanding visually-rich business documents to extract structured data and automate business workflows has been receiving attention both in academia and industry.

document understanding

Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models

no code implementations28 Oct 2022 Yichao Zhou, James B. Wendt, Navneet Potti, Jing Xie, Sandeep Tata

A key bottleneck in building automatic extraction models for visually rich documents like invoices is the cost of acquiring the several thousand high-quality labeled documents that are needed to train a model with acceptable accuracy.

Active Learning

Clinical Named Entity Recognition using Contextualized Token Representations

no code implementations23 Jun 2021 Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang

To facilitate various downstream applications using clinical case reports (CCRs), we pre-train two deep contextualized language models, Clinical Embeddings from Language Model (C-ELMo) and Clinical Contextual String Embeddings (C-Flair) using the clinical-related corpus from the PubMed Central.

Language Modelling named-entity-recognition +3

NeRD: Neural 3D Reflection Symmetry Detector

2 code implementations CVPR 2021 Yichao Zhou, Shichen Liu, Yi Ma

Recent advances have shown that symmetry, a structural prior that most objects exhibit, can support a variety of single-view 3D understanding tasks.

Pose Estimation regression

CREATe: Clinical Report Extraction and Annotation Technology

no code implementations28 Feb 2021 Yichao Zhou, Wei-Ting Chen, BoWen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang

Clinical case reports are written descriptions of the unique aspects of a particular clinical case, playing an essential role in sharing clinical experiences about atypical disease phenotypes and new therapies.

Simplified DOM Trees for Transferable Attribute Extraction from the Web

2 code implementations7 Jan 2021 Yichao Zhou, Ying Sheng, Nguyen Vo, Nick Edmonds, Sandeep Tata

There has been a steady need to precisely extract structured knowledge from the web (i. e. HTML documents).

Attribute Extraction Feature Engineering

VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers

no code implementations ICCV 2021 Shichen Liu, Yichao Zhou, Yajie Zhao

Being able to infer 3D structures from 2D images with geometric principles, vanishing points have been a well-recognized concept in 3D vision research.

Autonomous Driving Camera Calibration +1

Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities

no code implementations NeurIPS 2020 Chaobing Song, Zhengyuan Zhou, Yichao Zhou, Yong Jiang, Yi Ma

The optimization problems associated with training generative adversarial neural networks can be largely reduced to certain {\em non-monotone} variational inequality problems (VIPs), whereas existing convergence results are mostly based on monotone or strongly monotone assumptions.

Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement

no code implementations17 Aug 2020 Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang

Since major ad platforms typically run A/B tests for multiple advertisers in parallel, we explore the possibility of collaboratively learning ad creative refinement via A/B tests of multiple advertisers.

TAG Text Generation

``The Boating Store Had Its Best Sail Ever'': Pronunciation-attentive Contextualized Pun Recognition

no code implementations ACL 2020 Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang

In this paper, we propose Pronunciation-attentive Contextualized Pun Recognition (PCPR) to perceive human humor, detect if a sentence contains puns and locate them in the sentence.

Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction

2 code implementations17 Jun 2020 Yichao Zhou, Shichen Liu, Yi Ma

In this work, we focus on object-level 3D reconstruction and present a geometry-based end-to-end deep learning framework that first detects the mirror plane of reflection symmetry that commonly exists in man-made objects and then predicts depth maps by finding the intra-image pixel-wise correspondence of the symmetry.

3D Reconstruction Single-View 3D Reconstruction

"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition

1 code implementation29 Apr 2020 Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang

In this paper, we propose Pronunciation-attentive Contextualized Pun Recognition (PCPR) to perceive human humor, detect if a sentence contains puns and locate them in the sentence.

Recommending Themes for Ad Creative Design via Visual-Linguistic Representations

1 code implementation20 Jan 2020 Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang

There is a perennial need in the online advertising industry to refresh ad creatives, i. e., images and text used for enticing online users towards a brand.

Question Answering Recommendation Systems +1

NeurVPS: Neural Vanishing Point Scanning via Conic Convolution

1 code implementation NeurIPS 2019 Yichao Zhou, Haozhi Qi, Jingwei Huang, Yi Ma

We present a simple yet effective end-to-end trainable deep network with geometry-inspired convolutional operators for detecting vanishing points in images.

Camera Calibration

Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification

1 code implementation IJCNLP 2019 Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang

To identify adversarial attacks, a perturbation discriminator validates how likely a token in the text is perturbed and provides a set of potential perturbations.

Blocking General Classification +3

Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

2 code implementations ICCV 2019 Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma

In this paper, we propose a method to obtain a compact and accurate 3D wireframe representation from a single image by effectively exploiting global structural regularities.

End-to-End Wireframe Parsing

1 code implementation ICCV 2019 Yichao Zhou, Haozhi Qi, Yi Ma

We conduct extensive experiments and show that our method significantly outperforms the previous state-of-the-art wireframe and line extraction algorithms.

Line Segment Detection Wireframe Parsing

BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine

no code implementations18 Dec 2018 Yichao Zhou, Wei Chu, Sam Young, Xin Chen

In the learning stage, a sequence of stylistically uniform, multiple-channel music samples was modeled by a RNN.


Learning Gender-Neutral Word Embeddings

1 code implementation EMNLP 2018 Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang

Word embedding models have become a fundamental component in a wide range of Natural Language Processing (NLP) applications.

Word Embeddings

Computational Protein Design Using AND/OR Branch-and-Bound Search

no code implementations8 Dec 2014 Yichao Zhou, Yuexin Wu, Jianyang Zeng

The computation of the global minimum energy conformation (GMEC) is an important and challenging topic in structure-based computational protein design.

Combinatorial Optimization Protein Design

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