b'Xin Huang'

research

∙ 09/03/2023

DKWS: A Distributed System for Keyword Search on Massive Graphs (Complete Version)

Due to the unstructuredness and the lack of schemas of graphs, such as k...

0 Jiaxin Jiang, et al. ∙

research

∙ 05/28/2023

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction

Interactions between road agents present a significant challenge in traj...

0 Justin Lidard, et al. ∙

research

∙ 04/04/2023

A nonlinearity and model specification test for functional time series

An important issue in functional time series analysis is whether an obse...

0 Xin Huang, et al. ∙

research

∙ 02/09/2023

A Reduction from Chores Allocation to Job Scheduling

We consider allocating indivisible chores among agents with different co...

0 Xin Huang, et al. ∙

research

∙ 11/25/2022

Privileged Prior Information Distillation for Image Matting

Performance of trimap-free image matting methods is limited when trying ...

0 Cheng Lyu, et al. ∙

research

∙ 11/25/2022

On picking sequences for chores

We consider the problem of allocating m indivisible chores to n agents w...

0 Uriel Feige, et al. ∙

research

∙ 11/06/2022

Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass

Graph neural networks (GNNs) have received great attention due to their ...

0 Xin Huang, et al. ∙

research

∙ 11/04/2022

A Discrete and Bounded Locally Envy-Free Cake Cutting Protocol on Trees

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

0 Ganesh Ghalme, et al. ∙

research

∙ 11/03/2022

P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving

Motion prediction is crucial in enabling safe motion planning for autono...

2 Qiao Sun, et al. ∙

research

∙ 10/26/2022

InterSim: Interactive Traffic Simulation via Explicit Relation Modeling

Interactive traffic simulation is crucial to autonomous driving systems ...

0 Qiao Sun, et al. ∙

research

∙ 10/03/2022

Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection

In transportation networks, where traffic lights have traditionally been...

4 Majid Khonji, et al. ∙

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...

2 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...

0 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...

0 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...

0 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 ...

6 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...

3 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 ...

0 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...

0 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...

0 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...

2 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...

0 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...

9 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...

4 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...

6 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...

1 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...

4 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, ...

0 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...

0 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...

1 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...

11 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...

0 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...

44 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...

4 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...

28 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...

0 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...

0 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...

0 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...

0 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...

1 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...

12 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...

85 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...

8 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 ...

0 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 ...

13 Xuejiao Tang, et al. ∙

research

∙ 12/03/2020

Budget Constrained Interactive Search for Multiple Targets

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

0 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...

0 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...

0 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...

0 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...

0 Allen Wang, et al. ∙

Xin Huang

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