Wenqi  FAN
Wenqi FAN
Assistant Professor, The Hong Kong Polytechnic University (PolyU)
Verified email at - Homepage
Cited by
Cited by
Graph Neural Networks for Social Recommendation
W Fan, Y Ma, Q Li, Y He, E Zhao, J Tang, D Yin
WWW'2019, The World Wide Web Conference, 417-426, 2019
Trustworthy AI: A Computational Perspective
H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, Y Liu, AK Jain, J Tang
ACM TIST, arXiv preprint arXiv:2107.06641, 2021
A Graph Neural Network Framework for Social Recommendations
W Fan, Y Ma, Q Li, J Wang, G Cai, J Tang, D Yin
TKDE'2020, IEEE Transactions on Knowledge and Data Engineering, 1-1, 2020
Deep Modeling of Social Relations for Recommendation
W Fan, Q Li, M Cheng
AAAI'2018, Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Recommender Systems in the Era of Large Language Models (LLMs)
Z Zhao, W Fan, J Li, Y Liu, X Mei, Y Wang, Z Wen, F Wang, X Zhao, ...
IEEE TKDE 2024,arXiv preprint arXiv:2307.02046, 2024
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ...
ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024
Does Gender Matter? Towards Fairness in Dialogue Systems
H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang
COLING'2020, Proceedings of the 28th International Conference on …, 2020
Deep Social Collaborative Filtering
W Fan, Y Ma, D Yin, J Wang, J Tang, Q Li
RecSys'2019, Proceedings of the 13th ACM Conference on Recommender Systems …, 2019
Autoemb: Automated Embedding Dimensionality Search in Streaming Recommendations
X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang, M Chen, X Zheng, X Liu, ...
ICDM'2021, IEEE International Conference on Data Mining, 896-905, 2021
Graph Trend Filtering Networks for Recommendation
W Fan, X Liu, W Jin, X Zhao, J Tang, Q Li
SIGIR'2022, The 45th International ACM SIGIR Conference on Research and …, 2022
Deep Adversarial Social Recommendation
W Fan, T Derr, Y Ma, J Wang, J Tang, Q Li
IJCAI'2019, International Joint Conference on Artificial Intelligence, 2019
Attacking Black-box Recommendations via Copying Cross-domain User Profiles
W Fan, T Derr, X Zhao, Y Ma, H Liu, J Wang, J Tang, Q Li
ICDE'2021, 37th IEEE International Conference on Data Engineering, 2021
Disentangled Contrastive Learning for Social Recommendation
J Wu, W Fan, J Chen, S Liu, Q Li, K Tang
CIKM'2022, arXiv preprint arXiv:2208.08723, 2022
AutoLoss: Automated Loss Function Search in Recommendations
X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang
KDD'2021, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 1-9, 2021
Generative Diffusion Models on Graphs: Methods and Applications
C Liu, W Fan, Y Liu, J Li, H Li, H Liu, J Tang, Q Li
IJCAI 2023, arXiv preprint arXiv:2302.02591, 2023
Empowering molecule discovery for molecule-caption translation with large language models: A chatgpt perspective
J Li, Y Liu, W Fan, XY Wei, H Liu, J Tang, Q Li
IEEE Transactions on Knowledge and Data Engineering, 2024
Epidemic Graph Convolutional Network
T Derr, Y Ma, W Fan, X Liu, C Aggarwal, J Tang
WSDM'2020, The 13th International Conference on Web Search and Data Mining …, 2020
Fairness Reprogramming
G Zhang, Y Zhang, Y Zhang, W Fan, Q Li, S Liu, S Chang
NeurIPS'2022, arXiv preprint arXiv:2209.10222, 2022
A Comprehensive Survey on Trustworthy Recommender Systems
W Fan, X Zhao, X Chen, J Su, J Gao, L Wang, Q Liu, Y Wang, H Xu, ...
arXiv preprint arXiv:2209.10117, 2022
Jointly Attacking Graph Neural Network and its Explanations
W Fan, W Jin, X Liu, H Xu, X Tang, S Wang, Q Li, J Tang, J Wang, ...
ICDE'2023, arXiv preprint arXiv:2108.03388, 2023
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