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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...
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05/28/2023
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction
Interactions between road agents present a significant challenge in traj...
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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...
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02/09/2023
A Reduction from Chores Allocation to Job Scheduling
We consider allocating indivisible chores among agents with different co...
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11/25/2022
Privileged Prior Information Distillation for Image Matting
Performance of trimap-free image matting methods is limited when trying ...
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11/25/2022
On picking sequences for chores
We consider the problem of allocating m indivisible chores to n agents w...
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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 ...
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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...
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11/03/2022
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
Motion prediction is crucial in enabling safe motion planning for autono...
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10/26/2022
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
Interactive traffic simulation is crucial to autonomous driving systems ...
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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...
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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...
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07/05/2022
Wider: Scale Out Blockchain With Sharding by Account
The development of blockchain applications increased the demand for bloc...
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05/25/2022
Envy-Free Cake Cutting with Graph Constraints
We study the classic problem of fairly dividing a heterogeneous and divi...
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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...
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04/01/2022
Stereo Unstructured Magnification: Multiple Homography Image for View Synthesis
This paper studies the problem of view synthesis with certain amount of ...
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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...
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02/24/2022
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction
Predicting future motions of road participants is an important task for ...
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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...
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12/16/2021
A model sufficiency test using permutation entropy
Using the ordinal pattern concept in permutation entropy, we propose a m...
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11/29/2021
HDR-NeRF: High Dynamic Range Neural Radiance Fields
We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recov...
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11/22/2021
Canonical mean-field molecular dynamics derived from quantum mechanics
Canonical quantum correlation observables can be approximated by classic...
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10/19/2021
Trajectory Prediction with Linguistic Representations
Language allows humans to build mental models that interpret what is hap...
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10/17/2021
TIP: Task-Informed Motion Prediction for Intelligent Systems
Motion prediction is important for intelligent driving systems, providin...
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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...
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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...
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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...
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09/17/2021
Unified Fair Allocation of Goods and Chores via Copies
We consider fair allocation of indivisible items in a model with goods, ...
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08/31/2021
An Indoor Crowd Movement Trajectory Benchmark Dataset
In recent years, technologies of indoor crowd positioning and movement d...
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08/04/2021
Risk Conditioned Neural Motion Planning
Risk-bounded motion planning is an important yet difficult problem for s...
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07/27/2021
Sea Ice Forecasting using Attention-based Ensemble LSTM
Accurately forecasting Arctic sea ice from subseasonal to seasonal scale...
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05/14/2021
Butterfly-Core Community Search over Labeled Graphs
Community search aims at finding densely connected subgraphs for query v...
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04/21/2021
PP-YOLOv2: A Practical Object Detector
Being effective and efficient is essential to an object detector for pra...
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04/08/2021
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
Recently, attributed community search, a related but different problem t...
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03/27/2021
LSTM Based Sentiment Analysis for Cryptocurrency Prediction
Recent studies in big data analytics and natural language processing dev...
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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...
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02/18/2021
Smart Build Targets Batching Service at Google
Google has a monolithic codebase with tens of millions build targets. Ea...
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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...
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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...
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01/12/2021
LLA: Loss-aware Label Assignment for Dense Pedestrian Detection
Label assignment has been widely studied in general object detection bec...
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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...
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12/16/2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph neural networks provide a powerful toolkit for embedding real-worl...
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12/11/2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
We propose TabTransformer, a novel deep tabular data modeling architectu...
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12/07/2020
Computing Fair Utilitarian Allocations of Indivisible Goods
We study the computational complexity of computing allocations that are ...
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12/06/2020
Using Machine Learning to Automate Mammogram Images Analysis
Breast cancer is the second leading cause of cancer-related death after ...
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12/03/2020
Budget Constrained Interactive Search for Multiple Targets
Interactive graph search leverages human intelligence to categorize targ...
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09/27/2020
AIM 2020: Scene Relighting and Illumination Estimation Challenge
We review the AIM 2020 challenge on virtual image relighting and illumin...
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08/07/2020
Ontology-based Graph Visualization for Summarized View
Data summarization that presents a small subset of a dataset to users ha...
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07/10/2020
Truss-based Structural Diversity Search in Large Graphs
Social decisions made by individuals are easily influenced by informatio...
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05/27/2020