Bryan Hooi

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

NodeImport: Imbalanced Node Classification with Node Importance Assessment.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Multi-Label Node Classification with Label Influence Propagation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Words or Vision: Do Vision-Language Models Have Blind Faith in Text?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

How Does Response Length Affect Long-Form Factuality.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ReLearn: Unlearning via Learning for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Vulnerability of LLMs to Vertically Aligned Text Manipulations.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

DRS: Deep Question Reformulation With Structured Output.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Can Indirect Prompt Injection Attacks Be Detected and Removed?

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Defense Against Prompt Injection Attack by Leveraging Attack Techniques.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Efficient Heterogeneous Graph Learning via Random Projection.

[BibT_eX]

[DOI]

Jun Hu

Bingsheng He

IEEE Trans. Knowl. Data Eng., December, 2024

Dataset for "A Comparative Review of Deep Learning Methods for RNA Tertiary Structure Prediction".

[BibT_eX]

[DOI]

Dataset, December, 2024

Interrelated Dense Pattern Detection in Multilayer Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Dataset for "A Comparative Review of Deep Learning Methods for RNA Tertiary Structure Prediction".

[BibT_eX]

[DOI]

Dataset, November, 2024

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2024

CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization.

[BibT_eX]

[DOI]

CoRR, 2024

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering.

[BibT_eX]

[DOI]

Yuan Sui

CoRR, 2024

FlipAttack: Jailbreak LLMs via Flipping.

[BibT_eX]

[DOI]

CoRR, 2024

ID<sup>3</sup>: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Automated Phishing Detection Using URLs and Webpages.

[BibT_eX]

[DOI]

Huilin Wang

CoRR, 2024

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data.

[BibT_eX]

[DOI]

CoRR, 2024

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design.

[BibT_eX]

[DOI]

CoRR, 2024

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering.

[BibT_eX]

[DOI]

CoRR, 2024

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding.

[BibT_eX]

[DOI]

Ailin Deng

Zhirui Chen

CoRR, 2024

UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural Language.

[BibT_eX]

[DOI]

Yufei He

CoRR, 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection.

[BibT_eX]

[DOI]

Proceedings of the 33rd USENIX Security Symposium, 2024

Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

ID<sup>3</sup>: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks.

[BibT_eX]

[DOI]

Jiafeng Guo

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

Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Partitioning Message Passing for Graph Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scalable and Effective Implicit Graph Neural Networks on Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Information Extraction in Low-Resource Scenarios: Survey and Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Multimodal Large Language Models for Phishing Webpage Detection and Identification.

[BibT_eX]

[DOI]

Proceedings of the APWG Symposium on Electronic Crime Research, 2024

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection.

[BibT_eX]

[DOI]

Adam Goodge

Wee Siong Ng

Proceedings of the 35th British Machine Vision Conference, 2024

Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation.

[BibT_eX]

[DOI]

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

2023

Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation.

[BibT_eX]

[DOI]

Trans. Recomm. Syst., December, 2023

Continuous-time graph directed information maximization for temporal network representation.

[BibT_eX]

[DOI]

Inf. Sci., October, 2023

Deep Long-Tailed Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Time Series Anomaly Detection With Adversarial Reconstruction Networks.

[BibT_eX]

[DOI]

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

Benefit-aware early prediction of health outcomes on multivariate EEG time series.

[BibT_eX]

[DOI]

J. Biomed. Informatics, March, 2023

A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks.

[BibT_eX]

[DOI]

Neurocomputing, 2023

HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation.

[BibT_eX]

[DOI]

Yifan Zhang

CoRR, 2023

Towards A Unified View of Answer Calibration for Multi-Step Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Graph Learning for Generative Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt-Based Zero- and Few-Shot Node Classification: A Multimodal Approach.

[BibT_eX]

[DOI]

Yuexin Li

CoRR, 2023

Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System.

[BibT_eX]

[DOI]

CoRR, 2023

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Proximity-Informed Calibration for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Explanations as Features: LLM-Based Features for Text-Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

RETEXO: Scalable Neural Network Training over Distributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Do We Really Need Graph Neural Networks for Traffic Forecasting?

[BibT_eX]

[DOI]

CoRR, 2023

Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference.

[BibT_eX]

[DOI]

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

Expanding Small-Scale Datasets with Guided Imagination.

[BibT_eX]

[DOI]

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

Proximity-Informed Calibration for Deep Neural Networks.

[BibT_eX]

[DOI]

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

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

[BibT_eX]

[DOI]

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

DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection.

[BibT_eX]

[DOI]

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

Sketch-Based Anomaly Detection in Streaming Graphs.

[BibT_eX]

[DOI]

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

Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Reachability-Aware Laplacian Representation in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks.

[BibT_eX]

[DOI]

Yuwen Li

Miao Xiong

Proceedings of the International Conference on Machine Learning, 2023

A Generalization of ViT/MLP-Mixer to Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement.

[BibT_eX]

[DOI]

Ailin Deng

Miao Xiong

Proceedings of the International Conference on Machine Learning, 2023

Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph.

[BibT_eX]

[DOI]

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

TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks.

[BibT_eX]

[DOI]

Baixiang Huang

Kai Shu

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Primacy Effect of ChatGPT.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Probabilistic Knowledge Distillation of Face Ensembles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

How Fragile is Relation Extraction under Entity Replacements?

[BibT_eX]

[DOI]

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection.

[BibT_eX]

[DOI]

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

Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulators to Enhance Dialogue System.

[BibT_eX]

[DOI]

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

SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Real-Time Anomaly Detection in Edge Streams.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Spade: A Real-Time Fraud Detection Framework on Evolving Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Autonomous graph mining algorithm search with best performance trade-off.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2022

Spade: A Real-Time Fraud Detection Framework on Evolving Graphs (Complete Version).

[BibT_eX]

[DOI]

CoRR, 2022

Joint Triplet Loss Learning for Next New POI Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

MemStream: Memory-Based Streaming Anomaly Detection.

[BibT_eX]

[DOI]

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

MonLAD: Money Laundering Agents Detection in Transaction Streams.

[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

Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

LSCALE: Latent Space Clustering-Based Active Learning for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MGNNI: Multiscale Graph Neural Networks with Implicit Layers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Flashlight: Scalable Link Prediction With Effective Decoders.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Time-Aware Neighbor Sampling on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Neural PCA for Flow-Based Representation Learning.

[BibT_eX]

[DOI]

Shen Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

The Geometry of Robust Value Functions.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

When do contrastive learning signals help spatio-temporal graph forecasting?

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Truth-Table Net: A New Convolutional Architecture Encodable by Design into SAT Formulas.

[BibT_eX]

[DOI]

Adrien Benamira

Thomas Peyrin

Bryan Hooi Kuen-Yew

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

LPGNet: Link Private Graph Networks for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks.

[BibT_eX]

[DOI]

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

2021

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

Time-Aware Neighbor Sampling for Temporal Graph Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Probabilistic Contrastive Loss for Self-Supervised Learning.

[BibT_eX]

[DOI]

Shen Li

Jianqing Xu

CoRR, 2021

Structure-Aware Label Smoothing for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Spatio-Temporal Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

Sketch-Based Streaming Anomaly Detection in Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift.

[BibT_eX]

[DOI]

CoRR, 2021

Isconna: Streaming Anomaly Detection with Frequency and Patterns.

[BibT_eX]

[DOI]

Rui Liu

Siddharth Bhatia

CoRR, 2021

Mixup for Node and Graph Classification.

[BibT_eX]

[DOI]

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

CurGraph: Curriculum Learning for Graph Classification.

[BibT_eX]

[DOI]

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

MStream: Fast Anomaly Detection in Multi-Aspect Streams.

[BibT_eX]

[DOI]

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

Origin-Aware Next Destination Recommendation with Personalized Preference Attention.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Data Augmentation on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

EIGNN: Efficient Infinite-Depth Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SSMF: Shifting Seasonal Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ODD: Outlier Detection and Description.

[BibT_eX]

[DOI]

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

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Spherical Confidence Learning for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Robust and Task-Aware Training of Deep Residual Networks for Varying-Lead ECG Classification.

[BibT_eX]

[DOI]

Hansheng Ren

Miao Xiong

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks.

[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

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series.

[BibT_eX]

[DOI]

Ailin Deng

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

ExGAN: Adversarial Generation of Extreme Samples.

[BibT_eX]

[DOI]

Siddharth Bhatia

Arjit Jain

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

2020

Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Dynamic Graph-Based Anomaly Detection in the Electrical Grid.

[BibT_eX]

[DOI]

CoRR, 2020

Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.

[BibT_eX]

[DOI]

CoRR, 2020

GraphCrop: Subgraph Cropping for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Real-Time Streaming Anomaly Detection in Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

MStream: Fast Streaming Multi-Aspect Group Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Effective Training Strategies for Deep Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

SHADOWCAST: Controlling Network Properties to Explain Graph Generation.

[BibT_eX]

[DOI]

Wesley Joon-Wie Tann

Ee-Chien Chang

CoRR, 2020

Progressive Supervision for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

NodeAug: Semi-Supervised Node Classification with Data Augmentation.

[BibT_eX]

[DOI]

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

Structural Patterns and Generative Models of Real-world Hypergraphs.

[BibT_eX]

[DOI]

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

Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Identifying through Flows for Recovering Latent Representations.

[BibT_eX]

[DOI]

Shen Li

Gim Hee Lee

Proceedings of the 8th International Conference on Learning Representations, 2020

Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off.

[BibT_eX]

[DOI]

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

Provably Robust Node Classification via Low-Pass Message Passing.

[BibT_eX]

[DOI]

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

STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation.

[BibT_eX]

[DOI]

Jagannadan Varadarajan

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

FlowScope: Spotting Money Laundering Based on Graphs.

[BibT_eX]

[DOI]

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

TellTail: Fast Scoring and Detection of Dense Subgraphs.

[BibT_eX]

[DOI]

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

Midas: Microcluster-Based Detector of Anomalies in Edge Streams.

[BibT_eX]

[DOI]

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

2019

Anomaly Detection in Graphs and Time Series: Algorithms and Applications.

[BibT_eX]

[DOI]

PhD thesis, 2019

A Contrast Metric for Fraud Detection in Rich Graphs.

[BibT_eX]

[DOI]

Shenghua Liu

IEEE Trans. Knowl. Data Eng., 2019

Impact of Load Models on Power Flow Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

SMF: Drift-Aware Matrix Factorization with Seasonal Patterns.

[BibT_eX]

[DOI]

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

Branch and Border: Partition-Based Change Detection in Multivariate Time Series.

[BibT_eX]

[DOI]

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

Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection.

[BibT_eX]

[DOI]

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

Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach.

[BibT_eX]

[DOI]

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

BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series.

[BibT_eX]

[DOI]

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

2018

Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining.

[BibT_eX]

[DOI]

Kijung Shin

ACM Trans. Knowl. Discov. Data, 2018

Out-of-Core and Distributed Algorithms for Dense Subtensor Mining.

[BibT_eX]

[DOI]

CoRR, 2018

REV2: Fraudulent User Prediction in Rating Platforms.

[BibT_eX]

[DOI]

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

StreamCast: Fast and Online Mining of Power Grid Time Sequences.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

ONE-M: Modeling the Co-evolution of Opinions and Network Connections.

[BibT_eX]

[DOI]

Boleslaw K. Szymanski

Nitesh V. Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

NeuCast: Seasonal Neural Forecast of Power Grid Time Series.

[BibT_eX]

[DOI]

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

ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Graph-Based Fraud Detection in the Face of Camouflage.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2017

EagleMine: Vision-Guided Mining in Large Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

FairJudge: Trustworthy User Prediction in Rating Platforms.

[BibT_eX]

[DOI]

CoRR, 2017

AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization.

[BibT_eX]

[DOI]

Tsubasa Takahashi

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

D-Cube: Dense-Block Detection in Terabyte-Scale Tensors.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data.

[BibT_eX]

[DOI]

Proceedings of the Social Informatics, 2017

PowerCast: Mining and Forecasting Power Grid Sequences.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

zooRank: Ranking Suspicious Entities in Time-Evolving Tensors.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

BeatLex: Summarizing and Forecasting Time Series with Patterns.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Linear load model for robust power system analysis.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment.

[BibT_eX]

[DOI]

Pedro Costa

Aurélio J. C. Campilho

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

HoloScope: Topology-and-Spike Aware Fraud Detection.

[BibT_eX]

[DOI]

Shenghua Liu

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

2016

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.

[BibT_eX]

[DOI]

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

M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees.

[BibT_eX]

[DOI]

Kijung Shin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms.

[BibT_eX]

[DOI]

Hyun Ah Song

Evangelos E. Papalexakis

Rakesh Agrawal

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

FRAUDAR: Bounding Graph Fraud in the Face of Camouflage.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

EdgeCentric: Anomaly Detection in Edge-Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

A General Suspiciousness Metric for Dense Blocks in Multimodal Data.

[BibT_eX]

[DOI]

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

Education, Learning and Information Theory.

[BibT_eX]

[DOI]

Hyun Ah Song

Evangelos E. Papalexakis

Rakesh Agrawal