Work with Suhang Wang | NotedSource
Dr. Suhang Wang is an Assistant Professor of Computer
Science and Engineering at Pennsylvania State University.
He received his PhD in Computer Science from Arizona State
University in 2018, and his Master's degree in Electrical
Engineering: Systems from the University of Michigan in
2013. Before joining Penn State, Dr. Wang was a
postdoctoral researcher at the University of California,
Santa Barbara. His research interests include natural
language processing, artificial intelligence, and machine
learning. He was recognized for his work at the
International Conference on Knowledge Discovery and Data
Mining in 2017 and the Fifth ACM International Conference
on Web Search and Data Mining in 2016.
https://cv.notedsource.io/me/swang187
Suhang Wang
Professor at Pennsylvania State University
Research Expertise
Machine learning
Graph Mining
Theoretical Computer Science
Information Systems and Management
Computer Science Applications
Information Systems
Cognitive Neuroscience
Computer Vision and Pattern Recognition
Artificial Intelligence
Control and Systems Engineering
Software
Management Information Systems
Computational Theory and Mathematics
Computer Networks and Communications
Hardware and Architecture
Management, Monitoring, Policy and Law
Mechanical Engineering
Building and Construction
Library and Information Sciences
Management Science and Operations Research
Media Technology
About
Dr. Suhang Wang is an Assistant Professor of
Computer Science and Engineering at
Pennsylvania State University. He received his
PhD in Computer Science from Arizona State
University in 2018, and his Master's degree in
Electrical Engineering: Systems from the
University of Michigan in 2013. Before joining
Penn State, Dr. Wang was a postdoctoral
researcher at the University of California,
Santa Barbara. His research interests include
natural language processing, artificial
intelligence, and machine learning. He was
recognized for his work at the International
Conference on Knowledge Discovery and Data
Mining in 2017 and the Fifth ACM International
Conference on Web Search and Data Mining in
2016.
Legacy Map
Full ViewPublications
Fake News Detection on Social Media
ACM SIGKDD Explorations
Newsletter
2017
Feature Selection
ACM Computing Surveys
2017
FakeNewsNet: A Data Repository with News
Content, Social Context, and
Spatiotemporal Information for Studying
Fake News on Social Media
Big Data
2020
Beyond News Contents
Proceedings of the Twelfth ACM
International Conference on Web Search
and Data Mining
2019
dEFEND
Proceedings of the 25th ACM SIGKDD
International Conference on Knowledge
Discovery & Data Mining
2019
Understanding User Profiles on Social
Media for Fake News Detection
2018 IEEE Conference on Multimedia
Information Processing and Retrieval
(MIPR)
2018
Graph Structure Learning for Robust Graph
Neural Networks
Proceedings of the 26th ACM SIGKDD
International Conference on Knowledge
Discovery & Data Mining
2020
Unsupervised Fake News Detection on Social
Media: A Generative Approach
Proceedings of the AAAI Conference on
Artificial Intelligence
2019
What Your Images Reveal
Proceedings of the 26th International
Conference on World Wide Web
2017
Signed Network Embedding in Social Media
Proceedings of the 2017 SIAM
International Conference on Data
Mining
2017
User Identity Linkage across Online Social
Networks
ACM SIGKDD Explorations
Newsletter
2017
Embedded Unsupervised Feature Selection
Proceedings of the AAAI Conference on
Artificial Intelligence
2015
Preprint repository arXiv achieves
milestone million uploads
Physics Today
2014
The role of user profiles for fake news
detection
Proceedings of the 2019 IEEE/ACM
International Conference on Advances in
Social Networks Analysis and
Mining
2019
Sentiment Analysis for Social Media Images
2015 IEEE International Conference on
Data Mining Workshop (ICDMW)
2015
Learning Word Representations for
Sentiment Analysis
Cognitive Computation
2017
Hierarchical Propagation Networks for Fake
News Detection: Investigation and
Exploitation
Proceedings of the International AAAI
Conference on Web and Social Media
2020
Adversarial Attacks on Graph Neural
Networks via Node Injections: A
Hierarchical Reinforcement Learning
Approach
Proceedings of The Web Conference
2020
2020
A Generative Model for category text
generation
Information Sciences
2018
GraphSMOTE: Imbalanced Node Classification
on Graphs with Graph Neural Networks
Proceedings of the 14th ACM
International Conference on Web Search
and Data Mining
2021
About the social role of child and
adolescent psychiatrists in times of
epidemic
IACAPAP ArXiv
2020
Transferring Robustness for Graph Neural
Network Against Poisoning Attacks
Proceedings of the 13th International
Conference on Web Search and Data
Mining
2020
Say No to the Discrimination: Learning
Fair Graph Neural Networks with Limited
Sensitive Attribute Information
Proceedings of the 14th ACM
International Conference on Web Search
and Data Mining
2021
Discriminative graph regularized extreme
learning machine and its application to
face recognition
Neurocomputing
2015
Linked Document Embedding for
Classification
Proceedings of the 25th ACM
International on Conference on
Information and Knowledge
Management
2016
Recommendation with Social Dimensions
Proceedings of the AAAI Conference on
Artificial Intelligence
2016
Graph Few-Shot Learning via Knowledge
Transfer
Proceedings of the AAAI Conference on
Artificial Intelligence
2020
SAME
Proceedings of the 2019 IEEE/ACM
International Conference on Advances in
Social Networks Analysis and
Mining
2019
Attributed Signed Network Embedding
Proceedings of the 2017 ACM on
Conference on Information and Knowledge
Management
2017
DETERRENT: Knowledge Guided Graph
Attention Network for Detecting Healthcare
Misinformation
Proceedings of the 26th ACM SIGKDD
International Conference on Knowledge
Discovery & Data Mining
2020
Joint Modeling of Local and Global
Temporal Dynamics for Multivariate Time
Series Forecasting with Missing Values
Proceedings of the AAAI Conference on
Artificial Intelligence
2020
ArXiv preprint server plans
multimillion-dollar overhaul
Nature
2016
Mining Disinformation and Fake News:
Concepts, Methods, and Recent Advancements
Lecture Notes in Social Networks
2020
Ginger Cannot Cure Cancer: Battling Fake
Health News with a Comprehensive Data
Repository
Proceedings of the International AAAI
Conference on Web and Social Media
2020
Learning binary codes with neural
collaborative filtering for efficient
recommendation systems
Knowledge-Based Systems
2019
Personalized Privacy-Preserving Social
Recommendation
Proceedings of the AAAI Conference on
Artificial Intelligence
2018
Toward Dual Roles of Users in Recommender
Systems
Proceedings of the 24th ACM
International on Conference on
Information and Knowledge
Management
2015
Disentangled Variational Auto-Encoder for
semi-supervised learning
Information Sciences
2019
Graph Adversarial Attack via Rewiring
Proceedings of the 27th ACM SIGKDD
Conference on Knowledge Discovery &
Data Mining
2021
Exploring Hierarchical Structures for
Recommender Systems
IEEE Transactions on Knowledge and Data
Engineering
2018
Deep Headline Generation for Clickbait
Detection
2018 IEEE International Conference on
Data Mining (ICDM)
2018
Exploiting Emotional Information for
Trust/Distrust Prediction
Proceedings of the 2016 SIAM
International Conference on Data
Mining
2016
MALCOM: Generating Malicious Comments to
Attack Neural Fake News Detection Models
2020 IEEE International Conference on
Data Mining (ICDM)
2020
Enhanced low-rank representation via
sparse manifold adaption for
semi-supervised learning
Neural Networks
2015
MEGAN: A Generative Adversarial Network
for Multi-View Network Embedding
Proceedings of the Twenty-Eighth
International Joint Conference on
Artificial Intelligence
2019
Using a Random Forest to Inspire a Neural
Network and Improving on It
Proceedings of the 2017 SIAM
International Conference on Data
Mining
2017
Feature Selection
Encyclopedia of Machine Learning and
Data Mining
2016
GRACE: Generating Concise and Informative
Contrastive Sample to Explain Neural
Network Model's Prediction
Proceedings of the 26th ACM SIGKDD
International Conference on Knowledge
Discovery & Data Mining
2020
Explainable Multivariate Time Series
Classification
Proceedings of the 14th ACM
International Conference on Web Search
and Data Mining
2021
CrossFire
Proceedings of the Eleventh ACM
International Conference on Web Search
and Data Mining
2018
PPP: Joint Pointwise and Pairwise Image
Label Prediction
2016 IEEE Conference on Computer Vision
and Pattern Recognition (CVPR)
2016
dEFEND
Proceedings of the 28th ACM
International Conference on Information
and Knowledge Management
2019
NRGNN
Proceedings of the 27th ACM SIGKDD
Conference on Knowledge Discovery &
Data Mining
2021
CLARE: A Joint Approach to Label
Classification and Tag Recommendation
Proceedings of the AAAI Conference on
Artificial Intelligence
2017
Learning How to Propagate Messages in
Graph Neural Networks
Proceedings of the 27th ACM SIGKDD
Conference on Knowledge Discovery &
Data Mining
2021
Unsupervised Representation Learning of
Spatial Data via Multimodal Embedding
Proceedings of the 28th ACM
International Conference on Information
and Knowledge Management
2019
Knowing your FATE
Proceedings of the 26th ACM SIGKDD
International Conference on Knowledge
Discovery & Data Mining
2020
Towards Interpretation of Recommender
Systems with Sorted Explanation Paths
2018 IEEE International Conference on
Data Mining (ICDM)
2018
Fairness, explainability, privacy, and
robustness for trustworthy algorithmic
decision-making
Big Data Analytics in Chemoinformatics
and Bioinformatics
2023
Towards Self-Explainable Graph Neural
Network
Proceedings of the 30th ACM
International Conference on Information
& Knowledge Management
2021
Privacy Preserving Text Representation
Learning
Proceedings of the 30th ACM Conference
on Hypertext and Social Media
2019
Towards privacy preserving social
recommendation under personalized privacy
settings
World Wide Web
2018
Random-Forest-Inspired Neural Networks
ACM Transactions on Intelligent Systems
and Technology
2018
Paired Restricted Boltzmann Machine for
Linked Data
Proceedings of the 25th ACM
International on Conference on
Information and Knowledge
Management
2016
Deep Multi-Graph Clustering via Attentive
Cross-Graph Association
Proceedings of the 13th International
Conference on Web Search and Data
Mining
2020
Exploiting Emotion on Reviews for
Recommender Systems
Proceedings of the AAAI Conference on
Artificial Intelligence
2018
Linked Variational AutoEncoders for
Inferring Substitutable and Supplementary
Items
Proceedings of the Twelfth ACM
International Conference on Web Search
and Data Mining
2019
Facilitating Time Critical Information
Seeking in Social Media
IEEE Transactions on Knowledge and Data
Engineering
2017
Predicting Online Protest Participation of
Social Media Users
Proceedings of the AAAI Conference on
Artificial Intelligence
2016
Times series forecasting for urban
building energy consumption based on graph
convolutional network
Applied Energy
2022
Towards Robust Graph Neural Networks for
Noisy Graphs with Sparse Labels
Proceedings of the Fifteenth ACM
International Conference on Web Search
and Data Mining
2022
Semi-Supervised Graph-to-Graph Translation
Proceedings of the 29th ACM
International Conference on Information
& Knowledge Management
2020
Identifying Rhetorical Questions in Social
Media
Proceedings of the International AAAI
Conference on Web and Social Media
2021
Towards Fair Classifiers Without Sensitive
Attributes
Proceedings of the Fifteenth ACM
International Conference on Web Search
and Data Mining
2022
Opinions Power Opinions: Joint Link and
Interaction Polarity Predictions in Signed
Networks
2018 IEEE/ACM International Conference
on Advances in Social Networks Analysis
and Mining (ASONAM)
2018
Popularity prediction on vacation rental
websites
Neurocomputing
2020
Understanding and Identifying Rhetorical
Questions in Social Media
ACM Transactions on Intelligent Systems
and Technology
2018
Attacking Black-box Recommendations via
Copying Cross-domain User Profiles
2021 IEEE 37th International Conference
on Data Engineering (ICDE)
2021
Exploring Edge Disentanglement for Node
Classification
Proceedings of the ACM Web Conference
2022
2022
Semi-supervised anomaly detection in
dynamic communication networks
Information Sciences
2021
Exploiting Hierarchical Structures for
Unsupervised Feature Selection
Proceedings of the 2017 SIAM
International Conference on Data
Mining
2017
Weakly Supervised Facial Attribute
Manipulation via Deep Adversarial Network
2018 IEEE Winter Conference on
Applications of Computer Vision
(WACV)
2018
Towards Unbiased and Robust Causal Ranking
for Recommender Systems
Proceedings of the Fifteenth ACM
International Conference on Web Search
and Data Mining
2022
Randomized Feature Engineering as a Fast
and Accurate Alternative to Kernel Methods
Proceedings of the 23rd ACM SIGKDD
International Conference on Knowledge
Discovery and Data Mining
2017
Reconstruction-based Unsupervised Feature
Selection: An Embedded Approach
Proceedings of the Twenty-Sixth
International Joint Conference on
Artificial Intelligence
2017
Price Recommendation on Vacation Rental
Websites
Proceedings of the 2017 SIAM
International Conference on Data
Mining
2017
Self-Supervised learning for
Conversational Recommendation
Information Processing &
Management
2022
HP-GMN: Graph Memory Networks for
Heterophilous Graphs
2022 IEEE International Conference on
Data Mining (ICDM)
2022
Global-and-Local Aware Data Generation for
the Class Imbalance Problem
Proceedings of the 2020 SIAM
International Conference on Data
Mining
2020
Investigating and Mitigating
Degree-Related Biases in Graph
Convoltuional Networks
Proceedings of the 29th ACM
International Conference on Information
& Knowledge Management
2020
Graph Convolutional Networks with
EigenPooling
Proceedings of the 25th ACM SIGKDD
International Conference on Knowledge
Discovery & Data Mining
2019
Multi-dimensional Graph Convolutional
Networks
Proceedings of the 2019 SIAM
International Conference on Data
Mining
2019
Education
Arizona State University
PhD, Computer Science / July, 2018
Tempe, Arizona, United States of
America
University of Michigan
MS, Electrical Engineering: Systems / December, 2013
Ann Arbor, Michigan, United States
of America
Shanghai Jiao Tong University
BS, Electrical and Computer Engineering / July, 2012
Shanghai
University of Michigan
BS, Electrical Engineering / April, 2012
Ann Arbor, Michigan, United States
of America
Experience
Pennsylvania State University
Assistant Professor / August, 2018 — Present
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