activity
20172023
most citedMed-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain

11 citations · 20 across the 7 of their papers we have counts for

collaborators
Showing 2018Show all

8 papers · 1 filter

cs.AI2018

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

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

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…