b'Rui Zhu'

research

∙ 09/03/2023

Business Process Text Sketch Automation Generation Using Large Language Model

Business Process Management (BPM) is gaining increasing attention as it ...

0 Rui Zhu, et al. ∙

research

∙ 04/13/2023

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence

Large pre-trained models, also known as foundation models (FMs), are tra...

5 Gengchen Mai, et al. ∙

research

∙ 04/12/2023

Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation

Inverse path tracing has recently been applied to joint material and lig...

0 Liwen Wu, et al. ∙

research

∙ 04/10/2023

EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System

Over the past decade, the electric vehicle industry has experienced unpr...

0 Yanlin Qi, et al. ∙

research

∙ 01/29/2023

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering

Most existing methods to detect backdoored machine learning (ML) models ...

0 Rui Zhu, et al. ∙

research

∙ 12/09/2022

Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models

In this paper, we present a simple yet surprisingly effective technique ...

0 Rui Zhu, et al. ∙

research

∙ 11/21/2022

Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

An important goal in artificial intelligence is to create agents that ca...

0 Josh Abramson, et al. ∙

research

∙ 10/12/2022

Understanding Impacts of Task Similarity on Backdoor Attack and Detection

With extensive studies on backdoor attack and detection, still fundament...

0 Di Tang, et al. ∙

research

∙ 09/29/2022

Towards General-Purpose Representation Learning of Polygonal Geometries

Neural network representation learning for spatial data is a common need...

0 Gengchen Mai, et al. ∙

research

∙ 07/02/2022

PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes

Most indoor 3D scene reconstruction methods focus on recovering 3D geome...

0 Yu-Ying Yeh, et al. ∙

research

∙ 06/16/2022

IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes

Indoor scenes exhibit significant appearance variations due to myriad in...

0 Rui Zhu, et al. ∙

research

∙ 05/19/2022

Physically-Based Editing of Indoor Scene Lighting from a Single Image

We present a method to edit complex indoor lighting from a single image ...

0 Zhengqin Li, et al. ∙

research

∙ 12/07/2021

Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning

A common vision from science fiction is that robots will one day inhabit...

1 DeepMind Interactive Agents Team, et al. ∙

research

∙ 12/02/2021

Narrative Cartography with Knowledge Graphs

Narrative cartography is a discipline which studies the interwoven natur...

0 Gengchen Mai, et al. ∙

research

∙ 11/12/2021

Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes

Almost all statements in knowledge bases have a temporal scope during wh...

0 Ling Cai, et al. ∙

research

∙ 11/07/2021

A Review of Location Encoding for GeoAI: Methods and Applications

A common need for artificial intelligence models in the broader geoscien...

0 Gengchen Mai, et al. ∙

research

∙ 08/06/2021

Improving Contrastive Learning by Visualizing Feature Transformation

Contrastive learning, which aims at minimizing the distance between posi...

0 Rui Zhu, et al. ∙

research

∙ 07/08/2021

First-Generation Inference Accelerator Deployment at Facebook

In this paper, we provide a deep dive into the deployment of inference a...

0 Michael Anderson, et al. ∙

research

∙ 05/19/2021

Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions

As an important part of Artificial Intelligence (AI), Question Answering...

0 Gengchen Mai, et al. ∙

research

∙ 05/10/2021

Boosting Semi-Supervised Face Recognition with Noise Robustness

Although deep face recognition benefits significantly from large-scale t...

4 Yuchi Liu, et al. ∙

research

∙ 04/27/2021

Robust Classification via Support Vector Machines

The loss function choice for any Support Vector Machine classifier has r...

0 Vali Asimit, et al. ∙

research

∙ 12/10/2020

Imitating Interactive Intelligence

A common vision from science fiction is that robots will one day inhabit...

0 Josh Abramson, et al. ∙

research

∙ 07/29/2020

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

Estimating relative camera poses from consecutive frames is a fundamenta...

1 You-Yi Jau, et al. ∙

research

∙ 07/14/2020

Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations

The number of linear regions is one of the distinct properties of the ne...

0 Rui Zhu, et al. ∙

research

∙ 04/25/2020

SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting

Learning knowledge graph (KG) embeddings is an emerging technique for a ...

7 Gengchen Mai, et al. ∙

research

∙ 03/14/2020

Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online

Many geoportals such as ArcGIS Online are established with the goal of i...

0 Gengchen Mai, et al. ∙

research

∙ 02/16/2020

Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

Unsupervised text encoding models have recently fueled substantial progr...

0 Gengchen Mai, et al. ∙

research

∙ 01/11/2020

Bayesian Semi-supervised learning under nonparanormality

Semi-supervised learning is a classification method which makes use of b...

0 Rui Zhu, et al. ∙

research

∙ 12/05/2019

3D Objectness Estimation via Bottom-up Regret Grouping

3D objectness estimation, namely discovering semantic objects from 3D sc...

0 Zelin Ye, et al. ∙

research

∙ 10/01/2019

TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction

Link prediction is an important and frequently studied task that contrib...

0 Ling Cai, et al. ∙

research

∙ 09/30/2019

Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs

Recently, several studies have explored methods for using KG embedding t...

0 Gengchen Mai, et al. ∙

research

∙ 06/17/2019

MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...

1 Kai Chen, et al. ∙

research

∙ 03/14/2019

Constrained Mutual Convex Cone Method for Image Set Based Recognition

In this paper, we propose a method for image-set classification based on...

0 Naoya Sogi, et al. ∙

research

∙ 01/20/2019

Improved Selective Refinement Network for Face Detection

As a long-standing problem in computer vision, face detection has attrac...

0 Shifeng Zhang, et al. ∙

research

∙ 12/20/2018

SFA: Small Faces Attention Face Detector

In recent year, tremendous strides have been made in face detection than...

0 Shi Luo, et al. ∙

research

∙ 11/29/2018

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Autonomous driving has attracted remarkable attention from both industry...

6 Xibin Song, et al. ∙

research

∙ 10/19/2018

A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems

Large models are prevalent in modern machine learning scenarios, includi...

0 Rui Zhu, et al. ∙

research

∙ 10/19/2018

ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch

Current state-of-the-art object objectors are fine-tuned from the off-th...

0 Rui Zhu, et al. ∙

research

∙ 09/29/2018

Statistical Inference Attack Against PHY-layer Key Extraction and Countermeasures

The formal theoretical analysis on channel correlations in both real ind...

0 Rui Zhu, et al. ∙

research

∙ 06/13/2018

Android Malware Detection using Large-scale Network Representation Learning

With the growth of mobile devices and applications, the number of malici...

0 Rui Zhu, et al. ∙

research

∙ 05/30/2018

Android Malware Detection based on Factorization Machine

With the increasing popularity of Android smart phones in recent years, ...

0 Chenglin Li, et al. ∙

research

∙ 03/18/2018

Bayesian ROC surface estimation under verification bias

The Receiver Operating Characteristic (ROC) surface is a generalization ...

0 Rui Zhu, et al. ∙

research

∙ 02/24/2018

A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization

Many machine learning models, including those with non-smooth regularize...

0 Rui Zhu, et al. ∙

research

∙ 02/24/2018

Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization

We study stochastic algorithms for solving non-convex optimization probl...

0 Rui Zhu, et al. ∙

research

∙ 12/01/2017

Learning Depth from Monocular Videos using Direct Methods

The ability to predict depth from a single image - using recent advances...

0 Chaoyang Wang, et al. ∙

research

∙ 11/30/2017

Semantic Photometric Bundle Adjustment on Natural Sequences

The problem of obtaining dense reconstruction of an object in a natural ...

0 Rui Zhu, et al. ∙

research

∙ 11/04/2017

Object-Centric Photometric Bundle Adjustment with Deep Shape Prior

Reconstructing 3D shapes from a sequence of images has long been a probl...

0 Rui Zhu, et al. ∙

research

∙ 07/15/2017

Rethinking Reprojection: Closing the Loop for Pose-aware ShapeReconstruction from a Single Image

An emerging problem in computer vision is the reconstruction of 3D shape...

0 Rui Zhu, et al. ∙

research

∙ 06/07/2016

Expectile Matrix Factorization for Skewed Data Analysis

Matrix factorization is a popular approach to solving matrix estimation ...

0 Rui Zhu, et al. ∙

research

∙ 03/29/2016

The Conditional Lucas & Kanade Algorithm

The Lucas & Kanade (LK) algorithm is the method of choice for efficient ...

0 Chen-Hsuan Lin, et al. ∙

Rui Zhu

Featured Co-authors