b'Xin Huang'

research

∙ 08/09/2022

VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction

Predicting future behaviors of road agents is a key task in autonomous d...

Xin Huang, et al. ∙

research

∙ 07/05/2022

Wider: Scale Out Blockchain With Sharding by Account

The development of blockchain applications increased the demand for bloc...

Jia Kan, et al. ∙

research

∙ 05/25/2022

Envy-Free Cake Cutting with Graph Constraints

We study the classic problem of fairly dividing a heterogeneous and divi...

Ganesh Ghalme, et al. ∙

research

∙ 05/03/2022

A Cross-Company Ethnographic Study on Software Teams for DevOps and Microservices: Organization, Benefits, and Issues

Context: DevOps and microservices are acknowledged to be important new p...

Xin Zhou, et al. ∙

research

∙ 04/01/2022

Stereo Unstructured Magnification: Multiple Homography Image for View Synthesis

This paper studies the problem of view synthesis with certain amount of ...

Qi Zhang, et al. ∙

research

∙ 03/27/2022

Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection

Transformer-based language models such as BERT have achieved the state-o...

Xin Huang, et al. ∙

research

∙ 02/24/2022

M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction

Predicting future motions of road participants is an important task for ...

Qiao Sun, et al. ∙

research

∙ 02/12/2022

Distributed D-core Decomposition over Large Directed Graphs

Given a directed graph G and integers k and l, a D-core is the maximal s...

Xuankun Liao, et al. ∙

research

∙ 12/16/2021

A model sufficiency test using permutation entropy

Using the ordinal pattern concept in permutation entropy, we propose a m...

Xin Huang, et al. ∙

research

∙ 11/29/2021

HDR-NeRF: High Dynamic Range Neural Radiance Fields

We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recov...

Xin Huang, et al. ∙

research

∙ 11/22/2021

Canonical mean-field molecular dynamics derived from quantum mechanics

Canonical quantum correlation observables can be approximated by classic...

Xin Huang, et al. ∙

research

∙ 10/19/2021

Trajectory Prediction with Linguistic Representations

Language allows humans to build mental models that interpret what is hap...

Yen-Ling Kuo, et al. ∙

research

∙ 10/17/2021

TIP: Task-Informed Motion Prediction for Intelligent Systems

Motion prediction is important for intelligent driving systems, providin...

Xin Huang, et al. ∙

research

∙ 10/09/2021

Research on Knowledge based Expert System for Medical Diagnosis

In this paper we propose the design and implementation of a generic medi...

Xin Huang, et al. ∙

research

∙ 10/05/2021

HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling

Modeling multi-modal high-level intent is important for ensuring diversi...

Xin Huang, et al. ∙

research

∙ 09/21/2021

Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures

This paper presents fast non-sampling based methods to assess the risk f...

Ashkan Jasour, et al. ∙

research

∙ 09/17/2021

Unified Fair Allocation of Goods and Chores via Copies

We consider fair allocation of indivisible items in a model with goods, ...

Yotam gafni, et al. ∙

research

∙ 08/31/2021

An Indoor Crowd Movement Trajectory Benchmark Dataset

In recent years, technologies of indoor crowd positioning and movement d...

Ying Zhao, et al. ∙

research

∙ 08/04/2021

Risk Conditioned Neural Motion Planning

Risk-bounded motion planning is an important yet difficult problem for s...

Xin Huang, et al. ∙

research

∙ 07/27/2021

Sea Ice Forecasting using Attention-based Ensemble LSTM

Accurately forecasting Arctic sea ice from subseasonal to seasonal scale...

Sahara Ali, et al. ∙

research

∙ 05/14/2021

Butterfly-Core Community Search over Labeled Graphs

Community search aims at finding densely connected subgraphs for query v...

Zheng Dong, et al. ∙

research

∙ 04/21/2021

PP-YOLOv2: A Practical Object Detector

Being effective and efficient is essential to an object detector for pra...

Xin Huang, et al. ∙

research

∙ 04/08/2021

QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search

Recently, attributed community search, a related but different problem t...

Yuli Jiang, et al. ∙

research

∙ 03/27/2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction

Recent studies in big data analytics and natural language processing dev...

Xin Huang, et al. ∙

research

∙ 02/23/2021

A preconditioner based on sine transform for two-dimensional Riesz space factional diffusion equations in convex domains

In this paper, we develop a fast numerical method for solving the time-d...

Xin Huang, et al. ∙

research

∙ 02/18/2021

Smart Build Targets Batching Service at Google

Google has a monolithic codebase with tens of millions build targets. Ea...

Kaiyuan Wang, et al. ∙

research

∙ 02/02/2021

Spectral analysis for preconditioning of multi-dimensional Riesz fractional diffusion equations

In this paper, we analyze the spectra of the preconditioned matrices ari...

Xin Huang, et al. ∙

research

∙ 01/24/2021

BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing

The coronavirus disease 2019 (COVID-19) pandemic has caused an unprecede...

Zhe Peng, et al. ∙

research

∙ 01/12/2021

LLA: Loss-aware Label Assignment for Dense Pedestrian Detection

Label assignment has been widely studied in general object detection bec...

Zheng Ge, et al. ∙

research

∙ 12/20/2020

A hybrid deep-learning approach for complex biochemical named entity recognition

Named entity recognition (NER) of chemicals and drugs is a critical doma...

Jian Liu, et al. ∙

research

∙ 12/16/2020

Graph Neural Networks: Taxonomy, Advances and Trends

Graph neural networks provide a powerful toolkit for embedding real-worl...

Yu Zhou, et al. ∙

research

∙ 12/11/2020

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

We propose TabTransformer, a novel deep tabular data modeling architectu...

Xin Huang, et al. ∙

research

∙ 12/07/2020

Computing Fair Utilitarian Allocations of Indivisible Goods

We study the computational complexity of computing allocations that are ...

Haris Aziz, et al. ∙

research

∙ 12/06/2020

Using Machine Learning to Automate Mammogram Images Analysis

Breast cancer is the second leading cause of cancer-related death after ...

Xuejiao Tang, et al. ∙

research

∙ 12/03/2020

Budget Constrained Interactive Search for Multiple Targets

Interactive graph search leverages human intelligence to categorize targ...

Xuliang Zhu, et al. ∙

research

∙ 09/27/2020

AIM 2020: Scene Relighting and Illumination Estimation Challenge

We review the AIM 2020 challenge on virtual image relighting and illumin...

Majed El Helou, et al. ∙

research

∙ 08/07/2020

Ontology-based Graph Visualization for Summarized View

Data summarization that presents a small subset of a dataset to users ha...

Xuliang Zhu, et al. ∙

research

∙ 07/10/2020

Truss-based Structural Diversity Search in Large Graphs

Social decisions made by individuals are easily influenced by informatio...

Jinbin Huang, et al. ∙

research

∙ 05/27/2020

Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures

This paper presents fast non-sampling based methods to assess the risk o...

Allen Wang, et al. ∙

research

∙ 05/23/2020

Delving into the Imbalance of Positive Proposals in Two-stage Object Detection

Imbalance issue is a major yet unsolved bottleneck for the current objec...

Zheng Ge, et al. ∙

research

∙ 03/28/2020

NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing

Although significant progress has been made in pedestrian detection rece...

Xin Huang, et al. ∙

research

∙ 03/18/2020

CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy

Predicting the behavior of road agents is a difficult and crucial task f...

Xin Huang, et al. ∙

research

∙ 03/16/2020

PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression

Detecting human bodies in highly crowded scenes is a challenging problem...

Zheng Ge, et al. ∙

research

∙ 02/27/2020

DSSLP: A Distributed Framework for Semi-supervised Link Prediction

Link prediction is widely used in a variety of industrial applications, ...

Dalong Zhang, et al. ∙

research

∙ 02/11/2020

Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)

Building footprint maps are vital to many remote sensing applications, s...

Qingyu Li, et al. ∙

research

∙ 11/28/2019

Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling

Vehicle trajectory prediction is crucial for autonomous driving and adva...

Xin Huang, et al. ∙

research

∙ 08/30/2019

Fast Algorithms for Intimate-Core Group Search in Weighted Graphs

Community search that finds query-dependent communities has been studied...

Longxu Sun, et al. ∙

research

∙ 08/30/2019

Parameter-free Structural Diversity Search

The problem of structural diversity search is to nd the top-k vertices w...

Jinbin Huang, et al. ∙

research

∙ 08/01/2019

The Constrained Round Robin Algorithm for Fair and Efficient Allocation

We consider a multi-agent resource allocation setting that models the as...

Haris Aziz, et al. ∙

research

∙ 07/10/2019

An algorithmic framework for approximating maximin share allocation of chores

In this paper, we consider the problem of how to fairly dividing m indiv...

Xin Huang, et al. ∙

Xin Huang

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