Ninghao Liu

CoRR, 2023

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education.

[BibT_eX]

[DOI]

CoRR, 2023

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Mitigating Algorithmic Bias with Limited Annotations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning.

[BibT_eX]

[DOI]

Yucheng Shi

Kaixiong Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.

[BibT_eX]

[DOI]

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

DIVISION: Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

XGBD: Explanation-Guided Graph Backdoor Detection.

[BibT_eX]

[DOI]

Zihan Guan

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Knowledge Enhanced Deep Learning: Application to Pandemic Prediction.

[BibT_eX]

[DOI]

John A. Miller

Nasid Habib Barna

Subas Rana

Ismailcem Budak Arpinar

Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

SEAT: Stable and Explainable Attention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Differentiated Explanation of Deep Neural Networks With Skewed Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Defense Against Explanation Manipulation.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Towards Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

CoRR, 2022

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Data Science and Artificial Intelligence for Responsible Recommendations.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

G-Mixup: Graph Data Augmentation for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

DEGREE: Decomposition Based Explanation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.

[BibT_eX]

[DOI]

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

Tutorial on Deep Learning Interpretation: A Data Perspective.

[BibT_eX]

[DOI]

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

2021

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

Adversarial Attacks and Defenses: An Interpretation Perspective.

[BibT_eX]

[DOI]

SIGKDD Explor., 2021

Learning credible DNNs via incorporating prior knowledge and model local explanation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Modeling Techniques for Machine Learning Fairness: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

ExAD: An Ensemble Approach for Explanation-based Adversarial Detection.

[BibT_eX]

[DOI]

Raj Vardhan

Phakpoom Chinprutthiwong

CoRR, 2021

Sparse-Interest Network for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Dynamic Memory based Attention Network for Sequential Recommendation.

[BibT_eX]

[DOI]

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

2020

A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Are Interpretations Fairly Evaluated? A Definition Driven Pipeline for Post-Hoc Interpretability.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Machine Learning: An Interpretation Perspective.

[BibT_eX]

[DOI]

CoRR, 2020

Techniques for interpretable machine learning.

[BibT_eX]

[DOI]

Commun. ACM, 2020

Learning to Hash with Graph Neural Networks for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep Neural Networks with Knowledge Instillation.

[BibT_eX]

[DOI]

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

Learning sparse codes from compressed representations with biologically plausible local wiring constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Explainable Recommender Systems via Resolving Learning Representations.

[BibT_eX]

[DOI]

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

2019

Deep Representation Learning for Social Network Analysis.

[BibT_eX]

[DOI]

Qiaoyu Tan

Frontiers Big Data, 2019

On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Representation Interpretation with Spatial Encoding and Multimodal Analytics.

[BibT_eX]

[DOI]

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

Using Deep Neural Network to Identify Cancer Survivors Living with Post-Traumatic Stress Disorder on Social Media.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

An Interpretable Neural Model with Interactive Stepwise Influence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Identification of Cancer Survivors Living with PTSD on Social Media.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.

[BibT_eX]

[DOI]

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

Deep Structured Cross-Modal Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Learning Credible Deep Neural Networks with Rationale Regularization.

[BibT_eX]

[DOI]

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

2018

Spam Detection on Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Adversarial Detection with Model Interpretation.

[BibT_eX]

[DOI]

Hongxia Yang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

On Interpretation of Network Embedding via Taxonomy Induction.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards Explanation of DNN-based Prediction with Guided Feature Inversion.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Contextual Outlier Interpretation.

[BibT_eX]

[DOI]

Donghwa Shin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Interpretation of Recommender Systems with Sorted Explanation Paths.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Accelerated Local Anomaly Detection via Resolving Attributed Networks.

[BibT_eX]

[DOI]

Xiao Huang