b'Jing Tang'

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Featured Co-authors

Wei Wang
470 publications
Chao Zhang
212 publications
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191 publications
Pietro Liò
152 publications
Carola-Bibiane Schönlieb
119 publications
Lei Chen
117 publications
Zhen Li
116 publications
Kai Han
91 publications
Muhao Chen
78 publications
Xiaochun Cao
70 publications
Qian Chen
67 publications

research

∙ 05/25/2023

Efficient Approximation Algorithms for Spanning Centrality

Given a graph 𝒢, the spanning centrality (SC) of an edge e measures the ...

0 Shiqi Zhang, et al. ∙

research

∙ 05/22/2023

EntRED: Benchmarking Relation Extraction with Fewer Shortcuts

Entity names play an effective role in relation extraction (RE) and ofte...

0 Yiwei Wang, et al. ∙

research

∙ 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...

0 Yuhan Chen, et al. ∙

research

∙ 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...

0 Jing Tang, et al. ∙

research

∙ 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...

17 Huimin Zhu, et al. ∙

research

∙ 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...

29 Tolou Shadbahr, et al. ∙

research

∙ 03/06/2022

Diversifying Agent's Behaviors in Interactive Decision Models

Modelling other agents' behaviors plays an important role in decision mo...

0 Yinghui Pan, et al. ∙

research

∙ 01/20/2022

Cost-Effective Algorithms for Average-Case Interactive Graph Search

Interactive graph search (IGS) uses human intelligence to locate the tar...

0 Qianhao Cong, et al. ∙

research

∙ 12/03/2021

Bayes in Wonderland! Predictive supervised classification inference hits unpredictability

The marginal Bayesian predictive classifiers (mBpc) as opposed to the si...

0 Ali Amiryousefi, et al. ∙

research

∙ 12/02/2021

Bayesian supervised predictive classification and hypothesis testing toolkit for partition exchangeability

Bayesian supervised predictive classifiers, hypothesis testing, and para...

0 Ville Kinnula, et al. ∙

research

∙ 12/01/2021

Structure-Aware Label Smoothing for Graph Neural Networks

Representing a label distribution as a one-hot vector is a common practi...

0 Yiwei Wang, et al. ∙

research

∙ 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...

0 Jehad Aldahdooh, et al. ∙

research

∙ 10/06/2021

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer

Recently, Transformer has become a prevailing deep architecture for solv...

6 Yining Ma, et al. ∙

research

∙ 08/02/2021

Towards Making Deep Learning-based Vulnerability Detectors Robust

Automatically detecting software vulnerabilities in source code is an im...

0 Zhen Li, et al. ∙

research

∙ 07/11/2021

Efficient and Effective Algorithms for Revenue Maximization in Social Advertising

We consider the revenue maximization problem in social advertising, wher...

0 Kai Han, et al. ∙

research

∙ 06/14/2021

The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization

Submodular optimization has numerous applications such as crowdsourcing ...

0 Kai Han, et al. ∙

research

∙ 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. ∙

research

∙ 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 ...

0 Kanglin Hsieh, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 05/27/2020

Tensor Decomposition for Multi-agent Predictive State Representation

Predictive state representation (PSR) uses a vector of action-observatio...

0 Bilian Chen, et al. ∙

research

∙ 02/13/2020

Keyphrase Extraction with Span-based Feature Representations

Keyphrases are capable of providing semantic metadata characterizing doc...

1 Funan Mu, et al. ∙

research

∙ 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 ...

0 Alberto Pessia, et al. ∙

research

∙ 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. ∙

research

∙ 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 ...

0 Reda Younsi, et al. ∙

research

∙ 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...

0 Wan-Ting Hsu, et al. ∙

research

∙ 12/24/2017

Towards Profit Maximization for Online Social Network Providers

Online Social Networks (OSNs) attract billions of users to share informa...

0 Jing Tang, et al. ∙