Suhang Wang

Orcid: 0000-0003-3448-4878

According to our database1, Suhang Wang authored at least 178 papers between 2013 and 2024.

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Bibliography

2024
Future-generation attack and defense in neural networks.
Future Gener. Comput. Syst., March, 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
CoRR, 2024

Hierarchical Query Classification in E-commerce Search.
CoRR, 2024

Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark.
CoRR, 2024

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.
CoRR, 2024

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
CoRR, 2024

Universal Prompt Optimizer for Safe Text-to-Image Generation.
CoRR, 2024

Disambiguated Node Classification with Graph Neural Networks.
CoRR, 2024

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection.
CoRR, 2024

Active Learning for Graphs with Noisy Structures.
CoRR, 2024

Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback.
CoRR, 2024

Interpretable Imitation Learning with Dynamic Causal Relations.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Spectral-Based Graph Neural Networks for Complementary Item Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning fair models without sensitive attributes: A generative approach.
Neurocomputing, December, 2023

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.
ACM Trans. Intell. Syst. Technol., October, 2023

Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information.
IEEE Trans. Knowl. Data Eng., July, 2023

Learning Graph Filters for Spectral GNNs via Newton Interpolation.
CoRR, 2023

Language Models As Semantic Indexers.
CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.
CoRR, 2023

Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective.
CoRR, 2023

Recent Developments in Recommender Systems: A Survey.
CoRR, 2023

STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation.
CoRR, 2023

Fairness-aware Message Passing for Graph Neural Networks.
CoRR, 2023

Self-Explainable Graph Neural Networks for Link Prediction.
CoRR, 2023

Counterfactual Learning on Graphs: A Survey.
CoRR, 2023

Unnoticeable Backdoor Attacks on Graph Neural Networks.
Proceedings of the ACM Web Conference 2023, 2023

Towards Faithful and Consistent Explanations for Graph Neural Networks.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Simple and Asymmetric Graph Contrastive Learning without Augmentations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Certifiably Robust Graph Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Intent Evolution in E-commercial Query Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Outlier Detection and Correction for Time Series Data of Tunnel Boring Machine.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Jointly Attacking Graph Neural Network and its Explanations.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards Fair Graph Neural Networks via Graph Counterfactual.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning.
Neuroinformatics, 2022

Towards Prototype-Based Self-Explainable Graph Neural Network.
CoRR, 2022

Link Prediction on Heterophilic Graphs via Disentangled Representation Learning.
CoRR, 2022

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks.
CoRR, 2022

Towards Bridging Algorithm and Theory for Unbiased Recommendation.
CoRR, 2022

Decoupled Self-supervised Learning for Non-Homophilous Graphs.
CoRR, 2022

On Consistency in Graph Neural Network Interpretation.
CoRR, 2022

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.
CoRR, 2022

Learning Fair Models without Sensitive Attributes: A Generative Approach.
CoRR, 2022

Exploring Edge Disentanglement for Node Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Towards Unbiased and Robust Causal Ranking for Recommender Systems.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Friend Story Ranking with Edge-Contextual Local Graph Convolutions.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Decoupled Self-supervised Learning for Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TopoImb: Toward Topology-Level Imbalance in Learning From Graphs.
Proceedings of the Learning on Graphs Conference, 2022

Label-Wise Graph Convolutional Network for Heterophilic Graphs.
Proceedings of the Learning on Graphs Conference, 2022

HP-GMN: Graph Memory Networks for Heterophilous Graphs.
Proceedings of the IEEE International Conference on Data Mining, 2022

Representation Matters When Learning From Biased Feedback in Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Off-Policy Learning for Ranking Policies with Logged Feedback.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Interactive Anomaly Detection in Dynamic Communication Networks.
IEEE/ACM Trans. Netw., 2021

Graph routing between capsules.
Neural Networks, 2021

Semi-supervised anomaly detection in dynamic communication networks.
Inf. Sci., 2021

Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs.
CoRR, 2021

Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network.
CoRR, 2021

You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features.
CoRR, 2021

Spotting Silent Buffer Overflows in Execution Trace through Graph Neural Network Assisted Data Flow Analysis.
CoRR, 2021

SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series.
Proceedings of the WWW '21: The Web Conference 2021, 2021

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks.
Proceedings of the WSDM '21, 2021

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals.
Proceedings of the WSDM '21, 2021

Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information.
Proceedings of the WSDM '21, 2021

Functional Autoencoders for Functional Data Representation Learning.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Learning How to Propagate Messages in Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Labeled Data Generation with Inexact Supervision.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Adversarial Attack via Rewiring.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards Self-Explainable Graph Neural Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Neural Utility Functions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Popularity prediction on vacation rental websites.
Neurocomputing, 2020

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals.
CoRR, 2020

FairGNN: Eliminating the Discrimination in Graph Neural Networks with Limited Sensitive Attribute Information.
CoRR, 2020

Graph Convolutional Networks against Degree-Related Biases.
CoRR, 2020

Self-supervised Learning on Graphs: Deep Insights and New Direction.
CoRR, 2020

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements.
CoRR, 2020

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media.
Big Data, 2020

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Transferring Robustness for Graph Neural Network Against Poisoning Attacks.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Deep Multi-Graph Clustering via Attentive Cross-Graph Association.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Global-and-Local Aware Data Generation for the Class Imbalance Problem.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Exploiting Bluetooth to Enquire Close Contacts Without Privacy Leakage.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Graph Structure Learning for Robust Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Learning from Incomplete Labeled Data via Adversarial Data Generation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Latent Perception Graphs for Personalized Unknowns Recommendation.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Semi-Supervised Graph-to-Graph Translation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Few-Shot Learning via Knowledge Transfer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards privacy preserving social recommendation under personalized privacy settings.
World Wide Web, 2019

Learning binary codes with neural collaborative filtering for efficient recommendation systems.
Knowl. Based Syst., 2019

Disentangled Variational Auto-Encoder for semi-supervised learning.
Inf. Sci., 2019

Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples.
CoRR, 2019

Node Injection Attacks on Graphs via Reinforcement Learning.
CoRR, 2019

Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning.
CoRR, 2019

I Am Not What I Write: Privacy Preserving Text Representation Learning.
CoRR, 2019

Attacking Graph Convolutional Networks via Rewiring.
CoRR, 2019

The Role of User Profile for Fake News Detection.
CoRR, 2019

Beyond News Contents: The Role of Social Context for Fake News Detection.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Multi-dimensional Graph Convolutional Networks.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

dEFEND: Explainable Fake News Detection.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Graph Convolutional Networks with EigenPooling.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Privacy Preserving Text Representation Learning.
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Unsupervised Representation Learning of Spatial Data via Multimodal Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

dEFEND: A System for Explainable Fake News Detection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

The role of user profiles for fake news detection.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

SAME: sentiment-aware multi-modal embedding for detecting fake news.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Unsupervised Fake News Detection on Social Media: A Generative Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Exploring Hierarchical Structures for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2018

Random-Forest-Inspired Neural Networks.
ACM Trans. Intell. Syst. Technol., 2018

Understanding and Identifying Rhetorical Questions in Social Media.
ACM Trans. Intell. Syst. Technol., 2018

A Generative Model for category text generation.
Inf. Sci., 2018

Feature Selection: A Data Perspective.
ACM Comput. Surv., 2018

FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media.
CoRR, 2018

CrossFire: Cross Media Joint Friend and Item Recommendations.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Understanding User Profiles on Social Media for Fake News Detection.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Multimodal Fusion of Brain Networks with Longitudinal Couplings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Towards Interpretation of Recommender Systems with Sorted Explanation Paths.
Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Headline Generation for Clickbait Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Exploiting User Actions for App Recommendations.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Local and Global Information Preserved Network Embedding.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Personalized Privacy-Preserving Social Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Exploiting Emotion on Reviews for Recommender Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Feature Selection.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Facilitating Time Critical Information Seeking in Social Media.
IEEE Trans. Knowl. Data Eng., 2017

Fake News Detection on Social Media: A Data Mining Perspective.
SIGKDD Explor., 2017

Exploiting Tri-Relationship for Fake News Detection.
CoRR, 2017

Preserving Local and Global Information for Network Embedding.
CoRR, 2017

Signed Node Relevance Measurements.
CoRR, 2017

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications.
CoRR, 2017

Learning Word Representations for Sentiment Analysis.
Cogn. Comput., 2017

What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation.
Proceedings of the 26th International Conference on World Wide Web, 2017

Exploiting Hierarchical Structures for Unsupervised Feature Selection.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Signed Network Embedding in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Using a Random Forest to Inspire a Neural Network and Improving on It.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Price Recommendation on Vacation Rental Websites.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

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, Halifax, NS, Canada, August 13, 2017

Network Embedding with Centrality Information.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Attributed Signed Network Embedding.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

CLARE: A Joint Approach to Label Classification and Tag Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
User Identity Linkage across Online Social Networks: A Review.
SIGKDD Explor., 2016

Hierarchical Attention Network for Action Recognition in Videos.
CoRR, 2016

Exploiting Emotional Information for Trust/Distrust Prediction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Identifying Rhetorical Questions in Social Media.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

PPP: Joint Pointwise and Pairwise Image Label Prediction.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Paired Restricted Boltzmann Machine for Linked Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Linked Document Embedding for Classification.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendation with Social Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Predicting Online Protest Participation of Social Media Users.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning.
Neural Networks, 2015

Discriminative graph regularized extreme learning machine and its application to face recognition.
Neurocomputing, 2015

Unsupervised Sentiment Analysis for Social Media Images.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Exploring Implicit Hierarchical Structures for Recommender Systems.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Finding Time-Critical Responses for Information Seeking in Social Media.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Toward Dual Roles of Users in Recommender Systems.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Embedded Unsupervised Feature Selection.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition.
Proceedings of the Neural Information Processing - 20th International Conference, 2013


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