Zhankui He
Zhankui He
Google DeepMind
Verified email at - Homepage
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Nais: Neural attentive item similarity model for recommendation
X He, Z He, J Song, Z Liu, YG Jiang, TS Chua
TKDE'18, 2018
Adversarial personalized ranking for recommendation
X He, Z He, X Du, TS Chua
SIGIR'18, 2018
Meal: Multi-model ensemble via adversarial learning
Z Shen*, Z He*, X Xue
AAAI'19, 2019
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Y Hou, Z He, J McAuley, WX Zhao
WWW'23, 2023
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
Z Yue*, Z He*, H Zeng, J McAuley
RecSys'21, 2021
Large Language Models as Zero-Shot Conversational Recommenders
Z He*, Z Xie*, R Jha, H Steck, D Liang, Y Feng, BP Majumder, N Kallus, ...
CIKM'23, 2023
Locker: Locally Constrained Self-Attentive Sequential Recommendation
Z He, H Zhao, Z Lin, Z Wang, A Kale, J McAuley
CIKM'21, 2021
Weakly supervised attention for hashtag recommendation using graph data
A Javari, Z He, Z Huang, R Jeetu, K Chen-Chuan Chang
WWW'20, 2020
Bundle MCR: Towards Conversational Bundle Recommendation
Z He, H Zhao, T Yu, S Kim, F Du, J McAuley
RecSys'22, 2022
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations
A Yan*, Z He*, J Li*, T Zhang, J McAuley
SIGIR'23, 2023
Leashing the Inner Demons: Self-Detoxification for Language Models
C Xu, Z He, Z He, J McAuley
AAAI'22, 2022
Query-Aware Sequential Recommendation
Z He, H Zhao, Z Wang, Z Lin, A Kale, J McAuley
CIKM'22, 2022
Generative Flow Network for Listwise Recommendation
S Liu, Q Cai, Z He, B Sun, J McAuley, D Zheng, P Jiang, K Gai
KDD'23, 2023
Adversarial-based knowledge distillation for multi-model ensemble and noisy data refinement
Z Shen, Z He, W Cui, J Yu, Y Zheng, C Zhu, M Savvides
arXiv preprint arXiv:1908.08520, 2019
Linear recurrent units for sequential recommendation
Z Yue, Y Wang, Z He, H Zeng, J McAuley, D Wang
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR abs/2210.12316 (2022)
Y Hou, Z He, JJ McAuley, WX Zhao
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
Y Deldjoo, Z He, J McAuley, A Korikov, S Sanner, A Ramisa, R Vidal, ...
arXiv preprint arXiv:2404.00579, 2024
Bridging Language and Items for Retrieval and Recommendation
Y Hou, J Li, Z He, A Yan, X Chen, J McAuley
arXiv preprint arXiv:2403.03952, 2024
Ucepic: Unifying aspect planning and lexical constraints for generating explanations in recommendation
J Li, Z He, J Shang, J McAuley
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Automatic Feature Fairness in Recommendation via Adversaries
H Hu, Y Cao, Z He, S Tan, MY Kan
Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023
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