Weiwen Liu
Weiwen Liu
Noah's Ark Lab, Huawei
Verified email at - Homepage
Cited by
Cited by
Face liveness detection using a flash against 2D spoofing attack
PPK Chan, W Liu, D Chen, DS Yeung, F Zhang, X Wang, CC Hsu
IEEE Transactions on Information Forensics and Security 13 (2), 521-534, 2017
Personalized fairness-aware re-ranking for microlending
W Liu, J Guo, N Sonboli, R Burke, S Zhang
Proceedings of the 13th ACM Conference on Recommender Systems, 467-471, 2019
Alchemy: A quantum chemistry dataset for benchmarking ai models
G Chen, P Chen, CY Hsieh, CK Lee, B Liao, R Liao, W Liu, J Qiu, Q Sun, ...
arXiv preprint arXiv:1906.09427, 2019
Personalizing fairness-aware re-ranking
W Liu, R Burke
arXiv preprint arXiv:1809.02921, 2018
How can recommender systems benefit from large language models: A survey
J Lin, X Dai, Y Xi, W Liu, B Chen, X Li, C Zhu, H Guo, Y Yu, R Tang, ...
arXiv preprint arXiv:2306.05817, 2023
Towards open-world recommendation with knowledge augmentation from large language models
Y Xi, W Liu, J Lin, J Zhu, B Chen, R Tang, W Zhang, R Zhang, Y Yu
arXiv preprint arXiv:2306.10933, 2023
A Dirichlet process biterm-based mixture model for short text stream clustering
J Chen, Z Gong, W Liu
Applied Intelligence 50, 1609-1619, 2020
A nonparametric model for online topic discovery with word embeddings
J Chen, Z Gong, W Liu
Information Sciences 504, 32-47, 2019
Item relationship graph neural networks for e-commerce
W Liu, Y Zhang, J Wang, Y He, J Caverlee, PPK Chan, DS Yeung, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4785-4799, 2021
Opportunistic Multi-aspect Fairness through Personalized Re-ranking
N Sonboli, F Eskandanian, R Burke, W Liu, B Mobasher
Proceedings of the 28th ACM Conference on User Modeling, Adaptation, and …, 2020
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning
W Liu, F Liu, R Tang, B Liao, G Chen, PA Heng
PAKDD 2020, 2021
Consistency-aware recommendation for user-generated item list continuation
Y He, Y Zhang, W Liu, J Caverlee
Proceedings of the 13th international conference on web search and data …, 2020
A graph-enhanced click model for web search
J Lin, W Liu, X Dai, W Zhang, S Li, R Tang, X He, J Hao, Y Yu
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
An adversarial imitation click model for information retrieval
X Dai, J Lin, W Zhang, S Li, W Liu, R Tang, X He, J Hao, J Wang, Y Yu
Proceedings of the Web Conference 2021, 1809-1820, 2021
Personalized Re-ranking with Item Relationships for E-commerce
W Liu, Q Liu, R Tang, J Chen, X He, PA Heng
Proceedings of the 29th ACM International Conference on Information …, 2020
Causalint: Causal inspired intervention for multi-scenario recommendation
Y Wang, H Guo, B Chen, W Liu, Z Liu, Q Zhang, Z He, H Zheng, W Yao, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Retrieval & Interaction Machine for Tabular Data Prediction
J Qin, W Zhang, R Su, Z Liu, W Liu, R Tang, X He, Y Yu
Proceedings of the 27th ACM SIGKDD International Conference on Knowledge …, 2021
Wasserstein collaborative filtering for item cold-start recommendation
Y Meng, X Yan, W Liu, H Wu, J Cheng
Proceedings of the 28th ACM Conference on user modeling, adaptation and …, 2020
Adversarial caching training: Unsupervised inductive network representation learning on large-scale graphs
J Chen, Z Gong, W Wang, C Wang, Z Xu, J Lv, X Li, K Wu, W Liu
IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7079-7090, 2021
Field-aware probabilistic embedding neural network for CTR prediction
W Liu, R Tang, J Li, J Yu, H Guo, X He, S Zhang
Proceedings of the 12th ACM Conference on Recommender Systems, 412-416, 2018
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