Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Sub-Graph Based Diffusion Model for Link Prediction.

[BibT_eX]

[DOI]

Hang Li

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent.

[BibT_eX]

[DOI]

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

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.

[BibT_eX]

[DOI]

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

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.

[BibT_eX]

[DOI]

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

Revisiting Link Prediction: a data perspective.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Accelerating Communication for Distributed Training with Collaborative In-network Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs.

[BibT_eX]

[DOI]

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

2023

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.

[BibT_eX]

[DOI]

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

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2023

M-Denoiser: Unsupervised image denoising for real-world optical and electron microscopy data.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, September, 2023

Trustworthy AI: A Computational Perspective.

[BibT_eX]

[DOI]

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

Untargeted Black-box Attacks for Social Recommendations.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Dataset Condensation for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Certified Robustness for Large Language Models with Self-Denoising.

[BibT_eX]

[DOI]

CoRR, 2023

Recommender Systems in the Era of Large Language Models (LLMs).

[BibT_eX]

[DOI]

CoRR, 2023

Tutorials at The Web Conference 2023.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Behrooz Omidvar-Tehrani

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Fairly Adaptive Negative Sampling for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

AutoML for Deep Recommender Systems: Fundamentals and Advances.

[BibT_eX]

[DOI]

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

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

STRec: Sparse Transformer for Sequential Recommendations.

[BibT_eX]

[DOI]

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

Trustworthy Recommender Systems: Foundations and Frontiers.

[BibT_eX]

[DOI]

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

Generative Diffusion Models on Graphs: Methods and Applications.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Jointly Attacking Graph Neural Network and its Explanations.

[BibT_eX]

[DOI]

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

2022

A Graph Neural Network Framework for Social Recommendations.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Dual constraints and adversarial learning for fair recommenders.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A Comprehensive Survey on Trustworthy Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Defense Against Gradient Leakage Attacks via Learning to Obscure Data.

[BibT_eX]

[DOI]

CoRR, 2022

Automated Machine Learning for Deep Recommender Systems: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Identifying the kind behind SMILES - anatomical therapeutic chemical classification using structure-only representations.

[BibT_eX]

[DOI]

Briefings Bioinform., 2022

Self-supervised learning for fair recommender systems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Accepted Tutorials at The Web Conference 2022.

[BibT_eX]

[DOI]

Giovanni Da San Martino

Srinivasan H. Sengamedu

Chandan K. Reddy

Friedhelm Victor

Bernhard Haslhofer

George Katsogiannis-Meimarakis

Vidhisha Balachandran

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Graph Trend Filtering Networks for 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

Fairness Reprogramming.

[BibT_eX]

[DOI]

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

Knowledge-enhanced Black-box Attacks for 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

Disentangled Contrastive Learning for Social Recommendation.

[BibT_eX]

[DOI]

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

Multi-Type Urban Crime Prediction.

[BibT_eX]

[DOI]

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

2021

Graph Trend Networks for Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

Trustworthy AI: A Computational Perspective.

[BibT_eX]

[DOI]

CoRR, 2021

AutoLoss: Automated Loss Function Search in Recommendations.

[BibT_eX]

[DOI]

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

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

The diffusion of intelligent manufacturing applications based SIR model.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2020

Epidemic Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 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

Deep Adversarial Canonical Correlation Analysis.

[BibT_eX]

[DOI]

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

Improving Social Recommendations with Item Relationships.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Does Gender Matter? Towards Fairness in Dialogue Systems.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Graph Neural Networks for Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Deep social collaborative filtering.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Ideal Regularized Kernel Subspace Alignment for Unsupervised Domain Adaptation in Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

Deep Adversarial Social Recommendation.

[BibT_eX]

[DOI]

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

Correlation Alignment Based On Sparse Matrix Transform for Unsupervised Domain Adaptation in Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Deep Modeling of Social Relations for Recommendation.

[BibT_eX]

[DOI]

Wenqi Fan

Qing Li

Min Cheng

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

2016

SDenPeak: Semi-supervised Nonlinear Clustering Based on Density and Distance.

[BibT_eX]

[DOI]

Wen-Qi Fan

Chang-Dong Wang

Jian-Huang Lai

Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

2015

HDenDist: Nonlinear Hierarchical Clustering Based on Density and Min-distance.

[BibT_eX]

[DOI]

Proceedings of the Fifth IEEE International Conference on Big Data and Cloud Computing, 2015

Wenqi Fan

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