Weiwen Liu

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	Toate	Din 2020
Referințe bibliografice	2065	2006
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Ruiming TangHuaweiAdresă de e-mail confirmată pe huawei.com
Weinan ZhangProfessor, Shanghai Jiao Tong UniversityAdresă de e-mail confirmată pe sjtu.edu.cn
Yong Yu (俞勇)Professor, Shanghai Jiao Tong UniversityAdresă de e-mail confirmată pe sjtu.edu.cn
Yasheng WangNoah's Ark Lab, HuaweiAdresă de e-mail confirmată pe huawei.com
Jiarui QinNoah's Ark Lab, HuaweiAdresă de e-mail confirmată pe huawei.com
Shengyu Zhang（张胜誉）TencentAdresă de e-mail confirmată pe cse.cuhk.edu.hk
Robin BurkeUniversity of Colorado, BoulderAdresă de e-mail confirmată pe colorado.edu
Pheng Ann HengChoh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong KongAdresă de e-mail confirmată pe cse.cuhk.edu.hk
Shuai Li (李帅)Shanghai Jiao Tong UniversityAdresă de e-mail confirmată pe sjtu.edu.cn
Defu Lian (连德富)Professor, University of Science and Technology of ChinaAdresă de e-mail confirmată pe ustc.edu.cn
Nasim SonboliComputing Innovation Postdoctoral Fellow at Brown UniversityAdresă de e-mail confirmată pe brown.edu
Patrick P.K. ChanSouth China University of TechnologyAdresă de e-mail confirmată pe ieee.org
James CaverleeProfessor, Computer Science and Engineering, Texas A&M UniversityAdresă de e-mail confirmată pe cse.tamu.edu
Yin ZhangGoogle DeepMindAdresă de e-mail confirmată pe tamu.edu
Jun GuoUpenn (2020-) << Tsinghua (2016-2020)Adresă de e-mail confirmată pe upenn.edu
Jianling WangResearch Scientist, Google DeepMindAdresă de e-mail confirmată pe tamu.edu
Bamshad MobasherSchool of Computing, DePaul UniversityAdresă de e-mail confirmată pe cs.depaul.edu
Yun HeResearch Scientist at Meta

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Weiwen Liu

Noah's Ark Lab, Huawei

Adresă de e-mail confirmată pe link.cuhk.edu.hk - Pagina de pornire

large language models AI agents recommender systems machine learning and algorithms


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
How can recommender systems benefit from large language models: A survey J Lin, X Dai, Y Xi, W Liu, B Chen, H Zhang, Y Liu, C Wu, X Li, C Zhu, ... ACM Transactions on Information Systems, 2023	203*	2023
Towards open-world recommendation with knowledge augmentation from large language models Y Xi, W Liu, J Lin, X Cai, H Zhu, J Zhu, B Chen, R Tang, W Zhang, Y Yu Proceedings of the 18th ACM Conference on Recommender Systems, 12-22, 2024	154	2024
Understanding the planning of LLM agents: A survey X Huang, W Liu, X Chen, X Wang, H Wang, D Lian, Y Wang, R Tang, ... arXiv preprint arXiv:2402.02716, 2024	111	2024
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	99	2017
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	92	2019
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	91	2019
Personalizing fairness-aware re-ranking W Liu, R Burke arXiv preprint arXiv:1809.02921, 2018	79	2018
A Dirichlet process biterm-based mixture model for short text stream clustering J Chen, Z Gong, W Liu Applied Intelligence 50, 1609-1619, 2020	67	2020
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	64	2021
A nonparametric model for online topic discovery with word embeddings J Chen, Z Gong, W Liu Information Sciences 504, 32-47, 2019	61	2019
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	55	2020
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	52	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	51*	2021
Neural re-ranking in multi-stage recommender systems: A review W Liu, Y Xi, J Qin, F Sun, B Chen, W Zhang, R Zhang, R Tang IJCAI Survey Track, 2022	48	2022
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	43	2021
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	40	2022
Rankflow: Joint optimization of multi-stage cascade ranking systems as flows J Qin, J Zhu, B Chen, Z Liu, W Liu, R Tang, R Zhang, Y Yu, W Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022	39	2022
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	39	2020
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	38	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	35	2021

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