Wenqi Fan

发表

Deep social collaborative filtering

Yao Ma, Jiliang Tang, Jianping Wang, 2019, RecSys.

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

Jiliang Tang, Hui Liu, Tyler Derr, 2020, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Graph Trend Filtering Networks for Recommendation

Xiaorui Liu, Jiliang Tang, Wei Jin, 2021, SIGIR.

Dual constraints and adversarial learning for fair recommenders

Bo Xu, Xiaokun Zhang, Wenqi Fan, 2022, Knowl. Based Syst..

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

Wenqi Fan, Suhang Wang, Jiliang Tang, 2020, SDM.

Motivational factors on purchase intention of in-game hero skins in MOBA games

Wenqi Fan, 2019 .

Defense Against Gradient Leakage Attacks via Learning to Obscure Data

Jiliang Tang, J. Ren, Wenqi Fan, 2022, ArXiv.

Enhanced mechanical properties and formability of hot-rolled Mg–Zn–Mn alloy by Ca and Sm alloying

H. Hao, Wenqi Fan, Yu Bai, 2022, Transactions of Nonferrous Metals Society of China.

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

Wenqi Fan, Qing Li, Haonan Xu, 2022, Knowl. Based Syst..

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

Qing Li, Dongqing Wei, Xiao-Yong Wei, 2022, Briefings in bioinformatics.

A Comprehensive Survey on Trustworthy Recommender Systems

Wenqi Fan, Qing Li, Xiangyu Zhao, 2022, ArXiv.

Jointly Attacking Graph Neural Network and its Explanations

Jiliang Tang, C. Aggarwal, Wei Jin, 2021, 2023 IEEE 39th International Conference on Data Engineering (ICDE).

Disentangled Contrastive Learning for Social Recommendation

Wenqi Fan, Qing Li, Shengcai Liu, 2022, CIKM.

Graph Trend Filtering Networks for Recommendation

Jiliang Tang, Wei Jin, Wenqi Fan, 2022, SIGIR.

Deep Adversarial Social Recommendation pdf

Jiliang Tang, Jianping Wang, Yao Ma, 2019, IJCAI.

Graph Neural Networks for Social Recommendation

Yuan He, Qing Li, Jiliang Tang, 2019, WWW.

Epidemic Graph Convolutional Network

Charu C. Aggarwal, Jiliang Tang, Wenqi Fan, 2020, WSDM.

Trustworthy AI: A Computational Perspective pdf

Jiliang Tang, Wenqi Fan, Xiaorui Liu, 2021, ACM Trans. Intell. Syst. Technol..

A Comprehensive Survey on Automated Machine Learning for Recommendations

Ruiming Tang, Yejing Wang, Wenqi Fan, 2022, ACM Transactions on Recommender Systems.

Automated Machine Learning for Deep Recommender Systems: A Survey

Xiangyu Zhao, Ruiming Tang, Yejing Wang, 2022, ArXiv.

Generative Diffusion Models on Graphs: Methods and Applications

Jiliang Tang, Hui Liu, Hang Li, 2023, ArXiv.

Deep Modeling of Social Relations for Recommendation

Qing Li, Wenqi Fan, Min Cheng, 2018, AAAI.

Fairly Adaptive Negative Sampling for Recommendations

Zitao Liu, Wenqi Fan, Qing Li, 2023, WWW.

Generative Diffusion Models on Graphs: Methods and Applications

Jiliang Tang, Hui Liu, Hang Li, 2023, IJCAI.

Fairness Reprogramming

Yang Zhang, Sijia Liu, Wenqi Fan, 2022, NeurIPS.

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection

Wenqi Fan, Yulin Zhu, Kai Zhou, 2022, IEEE Transactions on Information Forensics and Security.

Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective

Jiliang Tang, Hui Liu, Wenqi Fan, 2023, IEEE Transactions on Knowledge and Data Engineering.

A Graph Neural Network Framework for Social Recommendations

Qing Li, Wenqi Fan, Jiliang Tang, 2020, IEEE Transactions on Knowledge and Data Engineering.

Does Gender Matter? Towards Fairness in Dialogue Systems

Jiliang Tang, Haochen Liu, Hui Liu, 2019, COLING.

AutoLoss: Automated Loss Function Search in Recommendations

Jiliang Tang, Wenqi Fan, Xiangyu Zhao, 2021, KDD.

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

Jiliang Tang, Hui Liu, Xiaochi Wei, 2023, ArXiv.

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

Jiliang Tang, Yiqi Wang, Wenqi Fan, 2023, ArXiv.

Knowledge-enhanced Black-box Attacks for Recommendations

Y. Huang, C. Yuan, Wenqi Fan, 2022, KDD.

Multi-Type Urban Crime Prediction

Jiliang Tang, Hui Liu, Wenqi Fan, 2022, AAAI.

AutoML for Deep Recommender Systems: Fundamentals and Advances

Ruiming Tang, Yejing Wang, Wenqi Fan, 2023, WSDM.

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

Jiliang Tang, Yiqi Wang, Wenqi Fan, 2023, IEEE Transactions on Knowledge and Data Engineering.

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

Jiliang Tang, Hui Liu, Tyler Derr, 2023, IEEE Transactions on Knowledge and Data Engineering.

Tutorials at The Web Conference 2023

Tiago P. Peixoto, Hady W. Lauw, Johanne R. Trippas, 2023, WWW.

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

Howard Leung, Wenqi Fan, Qing Li, 2023, Comput. Biol. Medicine.

Generative Diffusion Models on Graphs: Methods and Applications

Jiliang Tang, Hui Liu, Hang Li, 2023, IJCAI.

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

Jiliang Tang, Hui Liu, Xiaochi Wei, 2023, SIGKDD Explor..

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

Yiqi Wang, Zitao Liu, Wenqi Fan, 2023, SIGIR.

Certified Robustness for Large Language Models with Self-Denoising

Yang Zhang, Sijia Liu, Wenqi Fan, 2023, ArXiv.

Tutorials at The Web Conference 2023

Tiago P. Peixoto, Hady W. Lauw, Johanne R. Trippas, 2023, WWW.

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

Yiqi Wang, Zitao Liu, Wenqi Fan, 2023, SIGIR.

Fast Graph Condensation with Structure-based Neural Tangent Kernel

Wenqi Fan, Qing Li, Lin Wang, 2023, WWW.

Graph Trend Networks for Recommendations pdf

Jiliang Tang, Wei Jin, Xiangyu Zhao, 2021, ArXiv.

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

Wenqi Fan, Shengcai Liu, Jiahao Wu, 2023, ArXiv.

GCARe: Mitigating Subgroup Unfairness in Graph Condensation through Adversarial Regularization

Wenqi Fan, Qing Li, Runze Mao, 2023, Applied Sciences.

Untargeted Black-box Attacks for Social Recommendations

Wenqi Fan, Xiao Wei, Xiaowei Mei, 2023, ArXiv.

Linear-Time Graph Neural Networks for Scalable Recommendations

Wenqi Fan, Rui Xue, Jiahao Zhang, 2024, WWW.

STRec: Sparse Transformer for Sequential Recommendations

Yiqi Wang, Yejing Wang, Wenqi Fan, 2023, RecSys.