Suhang Wang

Dongsheng Luo

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Efficient Contrastive Learning for Fast and Accurate Inference on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Models as Semantic Indexers.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector.

[BibT_eX]

[DOI]

Xianren Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Shape-aware Graph Spectral Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Spectral-Based Graph Neural Networks for Complementary Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning fair models without sensitive attributes: A generative approach.

[BibT_eX]

[DOI]

Neurocomputing, December, 2023

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., October, 2023

Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Learning Graph Filters for Spectral GNNs via Newton Interpolation.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

Recent Developments in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Fairness-aware Message Passing for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Explainable Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Counterfactual Learning on Graphs: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Unnoticeable Backdoor Attacks on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Towards Faithful and Consistent Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Simple and Asymmetric Graph Contrastive Learning without Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Certifiably Robust Graph Contrastive Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective.

[BibT_eX]

[DOI]

Zhengyu Chen

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.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Intent Evolution in E-commercial Query Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Jointly Attacking Graph Neural Network and its Explanations.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards Fair Graph Neural Networks via Graph Counterfactual.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neuroinformatics, 2022

Towards Prototype-Based Self-Explainable Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2022

Link Prediction on Heterophilic Graphs via Disentangled Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Towards Bridging Algorithm and Theory for Unbiased Recommendation.

[BibT_eX]

[DOI]

Zhengyu Chen

CoRR, 2022

Decoupled Self-supervised Learning for Non-Homophilous Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

On Consistency in Graph Neural Network Interpretation.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Learning Fair Models without Sensitive Attributes: A Generative Approach.

[BibT_eX]

[DOI]

Huaisheng Zhu

CoRR, 2022

Exploring Edge Disentanglement for Node Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Label-Wise Graph Convolutional Network for Heterophilic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

HP-GMN: Graph Memory Networks for Heterophilous Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Representation Matters When Learning From Biased Feedback in Recommendation.

[BibT_eX]

[DOI]

Zhengyu Chen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Off-Policy Learning for Ranking Policies with Logged Feedback.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interactive Anomaly Detection in Dynamic Communication Networks.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2021

Graph routing between capsules.

[BibT_eX]

[DOI]

Neural Networks, 2021

Semi-supervised anomaly detection in dynamic communication networks.

[BibT_eX]

[DOI]

Inf. Sci., 2021

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

[BibT_eX]

[DOI]

Zhimeng Guo

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Functional Autoencoders for Functional Data Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Learning How to Propagate Messages in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Labeled Data Generation with Inexact Supervision.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Charu Aggarwal

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Adversarial Attack via Rewiring.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Towards Self-Explainable Graph Neural Network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Popularity prediction on vacation rental websites.

[BibT_eX]

[DOI]

Neurocomputing, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Graph Convolutional Networks against Degree-Related Biases.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Big Data, 2020

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Global-and-Local Aware Data Generation for the Class Imbalance Problem.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Exploiting Bluetooth to Enquire Close Contacts Without Privacy Leakage.

[BibT_eX]

[DOI]

Chen Wang

Jian Xu

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Thai Le

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yiwei Sun

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Learning from Incomplete Labeled Data via Adversarial Data Generation.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models.

[BibT_eX]

[DOI]

Thai Le

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning Latent Perception Graphs for Personalized Unknowns Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

Semi-Supervised Graph-to-Graph Translation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Few-Shot Learning via Knowledge Transfer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Towards privacy preserving social recommendation under personalized privacy settings.

[BibT_eX]

[DOI]

World Wide Web, 2019

Learning binary codes with neural collaborative filtering for efficient recommendation systems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Disentangled Variational Auto-Encoder for semi-supervised learning.

[BibT_eX]

[DOI]

Inf. Sci., 2019

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

[BibT_eX]

[DOI]

Thai Le

CoRR, 2019

Node Injection Attacks on Graphs via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Attacking Graph Convolutional Networks via Rewiring.

[BibT_eX]

[DOI]

CoRR, 2019

The Role of User Profile for Fake News Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Beyond News Contents: The Role of Social Context for Fake News Detection.

[BibT_eX]

[DOI]

Kai Shu

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Multi-dimensional Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

dEFEND: Explainable Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Graph Convolutional Networks with EigenPooling.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Privacy Preserving Text Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Unsupervised Representation Learning of Spatial Data via Multimodal Embedding.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

dEFEND: A System for Explainable Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

The role of user profiles for fake news detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Limeng Cui

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Exploring Hierarchical Structures for Recommender Systems.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Random-Forest-Inspired Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Understanding and Identifying Rhetorical Questions in Social Media.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

A Generative Model for category text generation.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Feature Selection: A Data Perspective.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

CrossFire: Cross Media Joint Friend and Item Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Understanding User Profiles on Social Media for Fake News Detection.

[BibT_eX]

[DOI]

Kai Shu

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Multimodal Fusion of Brain Networks with Longitudinal Couplings.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Towards Interpretation of Recommender Systems with Sorted Explanation Paths.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Headline Generation for Clickbait Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Exploiting User Actions for App Recommendations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Local and Global Information Preserved Network Embedding.

[BibT_eX]

[DOI]

Yao Ma

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Personalized Privacy-Preserving Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Exploiting Emotion on Reviews for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Facilitating Time Critical Information Seeking in Social Media.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Fake News Detection on Social Media: A Data Mining Perspective.

[BibT_eX]

[DOI]

SIGKDD Explor., 2017

Exploiting Tri-Relationship for Fake News Detection.

[BibT_eX]

[DOI]

Kai Shu

CoRR, 2017

Preserving Local and Global Information for Network Embedding.

[BibT_eX]

[DOI]

CoRR, 2017

Signed Node Relevance Measurements.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Learning Word Representations for Sentiment Analysis.

[BibT_eX]

[DOI]

Cogn. Comput., 2017

What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Exploiting Hierarchical Structures for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Signed Network Embedding in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Using a Random Forest to Inspire a Neural Network and Improving on It.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Price Recommendation on Vacation Rental Websites.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yao Ma

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Attributed Signed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

CLARE: A Joint Approach to Label Classification and Tag Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

User Identity Linkage across Online Social Networks: A Review.

[BibT_eX]

[DOI]

SIGKDD Explor., 2016

Hierarchical Attention Network for Action Recognition in Videos.

[BibT_eX]

[DOI]

CoRR, 2016

Exploiting Emotional Information for Trust/Distrust Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Identifying Rhetorical Questions in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Web and Social Media, 2016

PPP: Joint Pointwise and Pairwise Image Label Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Paired Restricted Boltzmann Machine for Linked Data.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Linked Document Embedding for Classification.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommendation with Social Dimensions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Predicting Online Protest Participation of Social Media Users.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning.

[BibT_eX]

[DOI]

Yong Peng

Bao-Liang Lu

Neural Networks, 2015

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

[BibT_eX]

[DOI]

Neurocomputing, 2015

Unsupervised Sentiment Analysis for Social Media Images.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Exploring Implicit Hierarchical Structures for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Finding Time-Critical Responses for Information Seeking in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Toward Dual Roles of Users in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Embedded Unsupervised Feature Selection.

[BibT_eX]

[DOI]