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20132023
most citedTI-CNN: Convolutional Neural Networks for Fake News Detection

232 citations · 1.4k across the 72 of their papers we have counts for

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Showing 2018Show all

15 papers · 1 filter

cs.AI2018

Data-driven Blockbuster Planning on Online Movie Knowledge Library

Ye Liu, Jiawei Zhang, Chenwei Zhang +1

In the era of big data, logistic planning can be made data-driven to take advantage of accumulated knowledge in the past. While in the movie industry, movie planning can also explo…

cs.LG2018★ 1 cited

A Self-Organizing Tensor Architecture for Multi-View Clustering

Lifang He, Chun-ta Lu, Yong Chen +4

In many real-world applications, data are often unlabeled and comprised of different representations/views which often provide information complementary to each other. Although sev…

cs.IR2018★ 188 cited

Spectral Collaborative Filtering

Lei Zheng, Chun-Ta Lu, Fei Jiang +2

Despite the popularity of Collaborative Filtering (CF), CF-based methods are haunted by the \textit{cold-start} problem, which has a significantly negative impact on users' experie…

cs.SI2018★ 1 cited

r-Instance Learning for Missing People Tweets Identification

Yang Yang, Haoyan Liu, Xia Hu +4

The number of missing people (i.e., people who get lost) greatly increases in recent years. It is a serious worldwide problem, and finding the missing people consumes a large amoun…

cs.CL2018★ 232 cited

TI-CNN: Convolutional Neural Networks for Fake News Detection

Yang Yang, Lei Zheng, Jiawei Zhang +3

With the development of social networks, fake news for various commercial and political purposes has been appearing in large numbers and gotten widespread in the online world. With…

cs.SI2018★ 1 cited

Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach

Yang Yang, Xia Hu, Haoyan Liu +3

Human trafficking is a serious social problem, and it is challenging mainly because of its difficulty in collecting and organizing related information. With the increasing populari…

cs.AI2018★ 2 cited

EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

Programming has been an important skill for researchers and practitioners in computer science and other related areas. To learn basic programing skills, a long-time systematic trai…

cs.LG2018

GEN Model: An Alternative Approach to Deep Neural Network Models

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

In this paper, we introduce an alternative approach, namely GEN (Genetic Evolution Network) Model, to the deep learning models. Instead of building one single deep model, GEN adopt…

cs.LG2018

Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

In this paper, we aim at introducing a new machine learning model, namely reconciled polynomial machine, which can provide a unified representation of existing shallow and deep mac…

cs.LG2018

On Deep Ensemble Learning from a Function Approximation Perspective

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

In this paper, we propose to provide a general ensemble learning framework based on deep learning models. Given a group of unit models, the proposed deep ensemble learning framewor…

cs.SI2018★ 10 cited

Social Network Fusion and Mining: A Survey

Jiawei Zhang

Looking from a global perspective, the landscape of online social networks is highly fragmented. A large number of online social networks have appeared, which can provide users wit…

cs.SI2018★ 52 cited

FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural Network

Jiawei Zhang, Bowen Dong, Philip S. Yu

In recent years, due to the booming development of online social networks, fake news for various commercial and political purposes has been appearing in large numbers and widesprea…

cs.LG2018★ 5 cited

Deep Loopy Neural Network Model for Graph Structured Data Representation Learning

Jiawei Zhang

Existing deep learning models may encounter great challenges in handling graph structured data. In this paper, we introduce a new deep learning model for graph data specifically, n…

cs.LG2018★ 25 cited

GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization

Jiawei Zhang, Fisher B. Gouza

Deep neural network learning can be formulated as a non-convex optimization problem. Existing optimization algorithms, e.g., Adam, can learn the models fast, but may get stuck in l…

cs.NE2018

SEGEN: Sample-Ensemble Genetic Evolutional Network Model

Jiawei Zhang, Limeng Cui, Fisher B. Gouza

Deep learning, a rebranding of deep neural network research works, has achieved a remarkable success in recent years. With multiple hidden layers, deep learning models aim at compu…