b'Siqi Liu'

Computational phase transitions in sparse planted problems?

In recent times the cavity method, a statistical physics-inspired heuris...
01/26/2021 ∙ by Siqi Liu, et al. ∙ 0 ∙ share

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Event-based Motion Segmentation with Spatio-Temporal Graph Cuts

Identifying independently moving objects is an essential task for dynami...
12/16/2020 ∙ by Yi Zhou, et al. ∙ 5 ∙ share

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Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digita

Purpose: To leverage volumetric quantification of airspace disease (AD) ...
08/13/2020 ∙ by Eduardo Mortani Barbosa Jr., et al. ∙ 67 ∙ share

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dm_control: Software and Tasks for Continuous Control

The dm_control software package is a collection of Python libraries and ...
06/22/2020 ∙ by Yuval Tassa, et al. ∙ 18 ∙ share

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Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Purpose: To present a method that automatically segments and quantifies ...
06/09/2020 ∙ by Shikha Chaganti, et al. ∙ 18 ∙ share

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MLOS: An Infrastructure for Automated Software Performance Engineering

Developing modern systems software is a complex task that combines busin...
06/01/2020 ∙ by Carlo Curino, et al. ∙ 0 ∙ share

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MLOS: An Infrastructure for AutomatedSoftware Performance Engineering

Developing modern systems software is a complex task that combines busin...
06/01/2020 ∙ by Carlo Curino, et al. ∙ 0 ∙ share

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3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19

The Coronavirus Disease (COVID-19) has affected 1.8 million people and r...
05/05/2020 ∙ by Siqi Liu, et al. ∙ 28 ∙ share

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Sentiment Analysis of Yelp Reviews: A Comparison of Techniques and Models

We use over 350,000 Yelp reviews on 5,000 restaurants to perform an abla...
04/15/2020 ∙ by Siqi Liu, et al. ∙ 0 ∙ share

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Quantification of Tomographic Patterns associated with COVID-19 from Chest CT

Purpose: To present a method that automatically detects and quantifies a...
04/02/2020 ∙ by Shikha Chaganti, et al. ∙ 12 ∙ share

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Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images

With the injection of contrast material into blood vessels, multi-phase ...
03/18/2020 ∙ by Donghao Zhang, et al. ∙ 8 ∙ share

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No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks

Detecting malignant pulmonary nodules at an early stage can allow medica...
03/08/2020 ∙ by Siqi Liu, et al. ∙ 6 ∙ share

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Contextual Outlier Detection in Continuous-Time Event Sequences

Continuous-time event sequences represent discrete events occurring in c...
12/19/2019 ∙ by Siqi Liu, et al. ∙ 0 ∙ share

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A Generalized Training Approach for Multiagent Learning

This paper investigates a population-based training regime based on game...
09/27/2019 ∙ by Paul Müller, et al. ∙ 20 ∙ share

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V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

Some of the most successful applications of deep reinforcement learning ...
09/26/2019 ∙ by H. Francis Song, et al. ∙ 0 ∙ share

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Multi-Sensor 3D Object Box Refinement for Autonomous Driving

We propose a 3D object detection system with multi-sensor refinement in ...
09/11/2019 ∙ by Peiliang Li, et al. ∙ 0 ∙ share

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Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms

Microsoft's internal big data analytics platform is comprised of hundred...
08/23/2019 ∙ by Liqun Shao, et al. ∙ 0 ∙ share

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High-Dimensional Expanders from Expanders

We present an elementary way to transform an expander graph into a simpl...
07/24/2019 ∙ by Siqi Liu, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey

Owe to the recent advancements in Artificial Intelligence especially dee...
07/22/2019 ∙ by Siqi Liu, et al. ∙ 9 ∙ share

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Emergent Coordination Through Competition

We study the emergence of cooperative behaviors in reinforcement learnin...
02/19/2019 ∙ by Siqi Liu, et al. ∙ 2 ∙ share

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Class-Aware Adversarial Lung Nodule Synthesis in CT Images

Though large-scale datasets are essential for training deep learning sys...
12/28/2018 ∙ by Jie Yang, et al. ∙ 14 ∙ share

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Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition

The performance of medical image analysis systems is constrained by the ...
12/04/2018 ∙ by Siqi Liu, et al. ∙ 4 ∙ share

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Hierarchical visuomotor control of humanoids

We aim to build complex humanoid agents that integrate perception, motor...
11/23/2018 ∙ by Josh Merel, et al. ∙ 0 ∙ share

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Line Artist: A Multiple Style Sketch to Painting Synthesis Scheme

Drawing a beautiful painting is a dream of many people since childhood. ...
03/18/2018 ∙ by Jinning Li, et al. ∙ 0 ∙ share

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3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

While deep convolutional neural networks (CNN) have been successfully ap...
11/23/2017 ∙ by Siqi Liu, et al. ∙ 0 ∙ share

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On the Competition Complexity of Dynamic Mechanism Design

The Competition Complexity of an auction measures how much competition i...
09/22/2017 ∙ by Siqi Liu, et al. ∙ 0 ∙ share

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Detection of Abnormal Input-Output Associations

We study a novel outlier detection problem that aims to identify abnorma...
08/03/2017 ∙ by Charmgil Hong, et al. ∙ 0 ∙ share

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Improved Image Captioning via Policy Gradient optimization of SPIDEr

Current image captioning methods are usually trained via (penalized) max...
12/01/2016 ∙ by Siqi Liu, et al. ∙ 0 ∙ share

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Siqi Liu

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