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Featured Co-authors

Jie Zhang
215 publications
Joelle Pineau
116 publications
Kai Han
95 publications
Junsong Yuan
66 publications
Aixin Sun
43 publications
Michael Mitzenmacher
39 publications
Xiaokui Xiao
38 publications
Yuwei Wu
29 publications
Jing Tang
28 publications
Yuxuan Liang
28 publications
Jianliang Xu
26 publications

∙ 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...

0 Eugene T. Y. Ang, et al. ∙

∙ 06/30/2022

Proteus: A Self-Designing Range Filter

We introduce Proteus, a novel self-designing approximate range filter, w...

0 Eric R. Knorr, et al. ∙

∙ 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...

4 Jingwen Li, et al. ∙

∙ 10/06/2021

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem

Existing deep reinforcement learning (DRL) based methods for solving the...

6 Jingwen Li, et al. ∙

∙ 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...

0 Yuming Huang, et al. ∙

∙ 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...

0 Chongshou Li, et al. ∙

∙ 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. ...

13 Jing Tang, et al. ∙

∙ 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 ...

0 Xinke Li, et al. ∙

∙ 04/29/2020

Directed Graph Convolutional Network

Graph Convolutional Networks (GCNs) have been widely used due to their o...

0 Zekun Tong, et al. ∙

∙ 12/23/2019

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

Backtracking search algorithms are often used to solve the Constraint Sa...

20 Wen Song, et al. ∙

∙ 12/12/2019

Learning Improvement Heuristics for Solving the Travelling Salesman Problem

Recent studies in using deep learning to solve the Travelling Salesman P...

26 Yaoxin Wu, et al. ∙

∙ 07/23/2019

Efficient Approximation Algorithms for Adaptive Seed Minimization

As a dual problem of influence maximization, the seed minimization probl...

0 Jing Tang, et al. ∙

∙ 04/19/2019

Online Non-stationary Time Series Analysis and Processing

Time series analysis is critical in academic communities ranging from ec...

0 Shixiong Wang, et al. ∙

∙ 04/16/2019

Why Are the ARIMA and SARIMA not Sufficient

The autoregressive moving average (ARMA) model and its variants like aut...

0 Shixiong Wang, et al. ∙

∙ 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...

0 Pierre Thodoroff, et al. ∙

∙ 09/17/2014

A Tabu Search Algorithm for the Multi-period Inspector Scheduling Problem

This paper introduces a multi-period inspector scheduling problem (MPISP...

0 Hu Qin, et al. ∙

∙ 01/23/2014

An Enhanced Branch-and-bound Algorithm for the Talent Scheduling Problem

The talent scheduling problem is a simplified version of the real-world ...

0 Zizhen Zhang, et al. ∙

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