research
∙
06/03/2023
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection
Rumor spreaders are increasingly utilizing multimedia content to attract...
share
research
∙
12/28/2022
Robust Ranking Explanations
Gradient-based explanation is the cornerstone of explainable deep networ...
research
∙
09/15/2022
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection
Multiple-objective optimization (MOO) aims to simultaneously optimize mu...
research
∙
04/24/2022
Subgroup Fairness in Graph-based Spam Detection
Fake reviews are prevalent on review websites such as Amazon and Yelp. G...
research
∙
11/29/2021
Multi-objective Explanations of GNN Predictions
Graph Neural Network (GNN) has achieved state-of-the-art performance in ...
research
∙
11/19/2021
Explaining GNN over Evolving Graphs using Information Flow
Graphs are ubiquitous in many applications, such as social networks, kno...
research
∙
09/15/2021
Self-learn to Explain Siamese Networks Robustly
Learning to compare two objects are essential in applications, such as d...
research
∙
09/09/2021
Truth Discovery in Sequence Labels from Crowds
Annotations quality and quantity positively affect the performance of se...
research
∙
06/10/2020
Robust Spammer Detection by Nash Reinforcement Learning
Online reviews provide product evaluations for customers to make decisio...
research
∙
06/10/2020
Robust Detection of Adaptive Spammers by Nash Reinforcement Learning
Online reviews provide product evaluations for customers to make decisio...
research
∙
04/21/2020
Rigorous Explanation of Inference on Probabilistic Graphical Models
Probabilistic graphical models, such as Markov random fields (MRF), expl...
research
∙
08/13/2019
Scalable Explanation of Inferences on Large Graphs
Probabilistic inferences distill knowledge from graphs to aid human make...
research
∙
11/11/2018
Semi-supervised Deep Representation Learning for Multi-View Problems
While neural networks for learning representation of multi-view data hav...
research
∙
11/09/2018
Securing Behavior-based Opinion Spam Detection
Reviews spams are prevalent in e-commerce to manipulate product ranking ...
research
∙
05/18/2018
MARS: Memory Attention-Aware Recommender System
In this paper, we study the problem of modeling users' diverse interests...
research
∙
12/06/2017
Product Function Need Recognition via Semi-supervised Attention Network
Functionality is of utmost importance to customers when they purchase pr...
research
∙
12/06/2017
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis
Product compatibility and their functionality are of utmost importance t...
research
∙
06/12/2017
SEVEN: Deep Semi-supervised Verification Networks
Verification determines whether two samples belong to the same class or ...
research
∙
12/04/2016
