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06/25/2023
Estimating Policy Effects in a Social Network with Independent Set Sampling
Evaluating the impact of policy interventions on respondents who are emb...
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06/30/2022
Proteus: A Self-Designing Range Filter
We introduce Proteus, a novel self-designing approximate range filter, w...
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10/06/2021
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning
Recently, there is an emerging trend to apply deep reinforcement learnin...
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10/06/2021
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Existing deep reinforcement learning (DRL) based methods for solving the...
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03/26/2021
Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives
Proof-of-Work (PoW) is the most widely adopted incentive model in curren...
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09/22/2020
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting
This paper proposes a new approach to sales forecasting for new products...
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08/12/2020
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint
Monotone submodular maximization with a knapsack constraint is NP-hard. ...
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08/11/2020
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene
Learning on 3D scene-based point cloud has received extensive attention ...
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04/29/2020
Directed Graph Convolutional Network
Graph Convolutional Networks (GCNs) have been widely used due to their o...
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12/23/2019
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems
Backtracking search algorithms are often used to solve the Constraint Sa...
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12/12/2019
Learning Improvement Heuristics for Solving the Travelling Salesman Problem
Recent studies in using deep learning to solve the Travelling Salesman P...
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07/23/2019
Efficient Approximation Algorithms for Adaptive Seed Minimization
As a dual problem of influence maximization, the seed minimization probl...
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04/19/2019
Online Non-stationary Time Series Analysis and Processing
Time series analysis is critical in academic communities ranging from ec...
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04/16/2019
Why Are the ARIMA and SARIMA not Sufficient
The autoregressive moving average (ARMA) model and its variants like aut...
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07/31/2016
Learning Robust Features using Deep Learning for Automatic Seizure Detection
We present and evaluate the capacity of a deep neural network to learn r...
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09/17/2014
A Tabu Search Algorithm for the Multi-period Inspector Scheduling Problem
This paper introduces a multi-period inspector scheduling problem (MPISP...
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01/23/2014