Search Results for author: Chong Zhang

Found 28 papers, 8 papers with code

A Holistic Approach to Undesired Content Detection in the Real World

no code implementations5 Aug 2022 Todor Markov, Chong Zhang, Sandhini Agarwal, Tyna Eloundou, Teddy Lee, Steven Adler, Angela Jiang, Lilian Weng

We present a holistic approach to building a robust and useful natural language classification system for real-world content moderation.

Active Learning

TENT: Text Classification Based on ENcoding Tree Learning

1 code implementation5 Oct 2021 Chong Zhang, Junran Wu, He Zhu, Ke Xu

Although more complex models tend to achieve better performance, research highly depends on the computing power of the device used.

Classification Natural Language Processing +1

Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study

1 code implementation30 Apr 2021 Junhua Chen, Chong Zhang, Alberto Traverso, Ivan Zhovannik, Andre Dekker, Leonard Wee, Inigo Bermejo

Moreover, images with different noise levels can be denoised to improve the reproducibility using these models without re-training, as long as the noise intensity is equal or lower than that in high-noise CTs.

Computed Tomography (CT) Denoising

Lung Cancer Diagnosis Using Deep Attention Based on Multiple Instance Learning and Radiomics

no code implementations29 Apr 2021 Junhua Chen, Haiyan Zeng, Chong Zhang, Zhenwei Shi, Andre Dekker, Leonard Wee, Inigo Bermejo

In this article, we treat lung cancer diagnosis as a multiple instance learning (MIL) problem in order to better reflect the diagnosis process in the clinical setting and for the higher interpretability of the output.

Deep Attention Lung Cancer Diagnosis +2

DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration

no code implementations22 Feb 2021 Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang

One of the main challenges of transferring the policy learned in a simulated environment to real world, is the discrepancy between the dynamics of the two environments.


Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency

no code implementations15 Nov 2020 Zidong Guo, Zejian yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang

In domain adaption, we design an embedding representation with prediction consistency to ensure that the linear relationship between gaze directions in different domains remains consistent on gaze space and embedding space.

Domain Adaptation Gaze Estimation

An Efficient Adversarial Attack for Tree Ensembles

1 code implementation NeurIPS 2020 Chong Zhang, huan zhang, Cho-Jui Hsieh

We study the problem of efficient adversarial attacks on tree based ensembles such as gradient boosting decision trees (GBDTs) and random forests (RFs).

Adversarial Attack

Parameter estimation in FACS-seq enables high-throughput characterization of phenotypic heterogeneity

no code implementations7 Oct 2020 Huibao Feng, Chong Zhang

Phenotypic heterogeneity is a most fascinating property of a population of cells, which shows the differences among individuals even with the same genetic background and extracellular environmental conditions.

Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation

no code implementations16 Jul 2020 Ziyang Song, Zejian yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang

In recognition-based action interaction, robots' responses to human actions are often pre-designed according to recognized categories and thus stiff.

Action Recognition Data Augmentation +1

Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction

no code implementations2 Jul 2020 Ziyang Song, Ziyi Yin, Zejian yuan, Chong Zhang, Wanchao Chi, Yonggen Ling, Shenghao Zhang

Despite the notable progress made in action recognition tasks, not much work has been done in action recognition specifically for human-robot interaction.

Action Recognition Pose Estimation

Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection

no code implementations19 Mar 2020 Zongxian Li, Qixiang Ye, Chong Zhang, Jingjing Liu, Shijian Lu, Yonghong Tian

In this work, we propose a Self-Guided Adaptation (SGA) model, target at aligning feature representation and transferring object detection models across domains while considering the instantaneous alignment difficulty.

object-detection Object Detection +1

Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research

no code implementations WS 2019 Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang, Chen Li, Lixia Yao

Claims database and electronic health records database do not usually capture kinship or family relationship information, which is imperative for genetic research.

named-entity-recognition Named Entity Recognition +1

A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring

no code implementations30 Apr 2018 Chong Zhang, Geok Soon Hong, Jun-Hong Zhou, Kay Chen Tan, Haizhou Li, Huan Xu, Jihoon Hong, Hian-Leng Chan

For fault diagnosis, a cost-sensitive deep belief network (namely ECS-DBN) is applied to deal with the imbalanced data problem for tool state estimation.

Representation Learning

A Cost-Sensitive Deep Belief Network for Imbalanced Classification

no code implementations28 Apr 2018 Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong

Adaptive differential evolution optimization is implemented as the optimization algorithm that automatically updates its corresponding parameters without the need of prior domain knowledge.

Classification General Classification +1

Efficient Column Generation for Cell Detection and Segmentation

no code implementations21 Sep 2017 Chong Zhang, Shaofei Wang, Miguel A. Gonzalez-Ballester, Julian Yarkony

To solve this integer program, we propose a column generation formulation where the pricing program is solved via exact optimization of very small scale integer programs.

Instance Segmentation Semantic Segmentation

Multi-Person Pose Estimation via Column Generation

no code implementations18 Sep 2017 Shaofei Wang, Chong Zhang, Miguel A. Gonzalez-Ballester, Alexander Ihler, Julian Yarkony

We give a novel integer program formulation of the multi-person pose estimation problem, in which variables correspond to assignments of parts in the image to poses in a two-tier, hierarchical way.

Multi-Person Pose Estimation

The Candidate Multi-Cut for Cell Segmentation

no code implementations4 Jul 2017 Jan Funke, Chong Zhang, Tobias Pietzsch, Stephan Saalfeld

Two successful approaches for the segmentation of biomedical images are (1) the selection of segment candidates from a merge-tree, and (2) the clustering of small superpixels by solving a Multi-Cut problem.

Cell Segmentation Superpixels

On Reject and Refine Options in Multicategory Classification

no code implementations9 Jan 2017 Chong Zhang, Wenbo Wang, Xingye Qiao

In many real applications of statistical learning, a decision made from misclassification can be too costly to afford; in this case, a reject option, which defers the decision until further investigation is conducted, is often preferred.

Classification General Classification +1

Efficient Pose and Cell Segmentation using Column Generation

no code implementations1 Dec 2016 Shaofei Wang, Chong Zhang, Miguel A. Gonzalez-Ballester, Julian Yarkony

We study the problems of multi-person pose segmentation in natural images and instance segmentation in biological images with crowded cells.

Cell Segmentation Efficient Exploration +2

Multi-category Angle-based Classifier Refit

no code implementations19 Jul 2016 Guo Xian Yau, Chong Zhang

In particular, we give theoretical insights on why heavy regularization terms are often needed in high dimensional applications, and how this can lead to bias in probability estimation.

General Classification

An active efficient coding model of the optokinetic nystagmus

no code implementations21 Jun 2016 Chong Zhang, Jochen Triesch, Bertram E. Shi

This framework models the joint emergence of both perception and behavior, and accounts for the importance of the development of normal vergence control and binocular vision in achieving normal monocular OKN (mOKN) behaviors.

Intrinsically Motivated Learning of Visual Motion Perception and Smooth Pursuit

no code implementations14 Feb 2014 Chong Zhang, Yu Zhao, Jochen Triesch, Bertram E. Shi

We extend the framework of efficient coding, which has been used to model the development of sensory processing in isolation, to model the development of the perception/action cycle.


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