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08/21/2023
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Submodular maximization has found extensive applications in various doma...
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05/25/2023
Efficient Approximation Algorithms for Spanning Centrality
Given a graph 𝒢, the spanning centrality (SC) of an edge e measures the ...
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05/22/2023
EntRED: Benchmarking Relation Extraction with Fewer Shortcuts
Entity names play an effective role in relation extraction (RE) and ofte...
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05/07/2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Heterophily has been considered as an issue that hurts the performance o...
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11/30/2022
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory
In recent years, multi-scale generative adversarial networks (GANs) have...
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07/02/2022
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation
The rational design of novel molecules with desired bioactivity is a cri...
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06/16/2022
Classification of datasets with imputed missing values: does imputation quality matter?
Classifying samples in incomplete datasets is a common aim for machine l...
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03/06/2022
Diversifying Agent's Behaviors in Interactive Decision Models
Modelling other agents' behaviors plays an important role in decision mo...
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01/20/2022
Cost-Effective Algorithms for Average-Case Interactive Graph Search
Interactive graph search (IGS) uses human intelligence to locate the tar...
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12/03/2021
Bayes in Wonderland! Predictive supervised classification inference hits unpredictability
The marginal Bayesian predictive classifiers (mBpc) as opposed to the si...
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12/02/2021
Bayesian supervised predictive classification and hypothesis testing toolkit for partition exchangeability
Bayesian supervised predictive classifiers, hypothesis testing, and para...
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12/01/2021
Structure-Aware Label Smoothing for Graph Neural Networks
Representing a label distribution as a one-hot vector is a common practi...
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10/31/2021
R-BERT-CNN: Drug-target interactions extraction from biomedical literature
In this research, we present our work participation for the DrugProt tas...
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10/06/2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Recently, Transformer has become a prevailing deep architecture for solv...
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08/02/2021
Towards Making Deep Learning-based Vulnerability Detectors Robust
Automatically detecting software vulnerabilities in source code is an im...
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07/11/2021
Efficient and Effective Algorithms for Revenue Maximization in Social Advertising
We consider the revenue maximization problem in social advertising, wher...
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06/14/2021
The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization
Submodular optimization has numerous applications such as crowdsourcing ...
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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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09/23/2020
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation
Amid the pandemic of 2019 novel coronavirus disease (COVID-19) infected ...
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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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05/27/2020
Tensor Decomposition for Multi-agent Predictive State Representation
Predictive state representation (PSR) uses a vector of action-observatio...
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02/13/2020
Keyphrase Extraction with Span-based Feature Representations
Keyphrases are capable of providing semantic metadata characterizing doc...
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09/24/2019
Numerical evaluation of the transition probability of the simple birth-and-death process
The simple (linear) birth-and-death process is a widely used stochastic ...
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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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09/18/2018
Π-cyc: A Reference-free SNP Discovery Application using Parallel Graph Search
Motivation: Working with a large number of genomes simultaneously is of ...
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05/16/2018
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
We propose a unified model combining the strength of extractive and abst...
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12/24/2017