Xiangyu Zhao
Sitert av
Sitert av
Deep reinforcement learning for page-wise recommendations
X Zhao, L Xia, L Zhang, Z Ding, D Yin, J Tang
Proceedings of the 12th ACM conference on recommender systems, 95-103, 2018
Recommendations with negative feedback via pairwise deep reinforcement learning
X Zhao, L Zhang, Z Ding, L Xia, J Tang, D Yin
KDD'18, Proceedings of the 24th ACM SIGKDD International Conference on …, 2018
Towards Long-term Fairness in Recommendation
Y Ge, S Liu, R Gao, Y Xian, Y Li, X Zhao, C Pei, F Sun, J Ge, W Ou, ...
WSDM'21, Proceedings of the 14th ACM International Conference on Web Search …, 2021
Deep reinforcement learning for list-wise recommendations
X Zhao, L Zhang, L Xia, Z Ding, D Yin, J Tang
arXiv preprint arXiv:1801.00209, 2017
Recommender systems in the era of large language models (llms)
QL Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang ...
arXiv preprint arXiv:2307.02046, 2023
Modeling temporal-spatial correlations for crime prediction
X Zhao, J Tang
CIKM'17, Proceedings of the 2017 ACM on Conference on Information and …, 2017
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
X Zhao, C Gu, H Zhang, X Yang, X Liu, H Liu, J Tang
AAAI'21, Proceedings of the AAAI Conference on Artificial Intelligence 35 (1 …, 2021
Neural interactive collaborative filtering
L Zou, L Xia, Y Gu, X Zhao, W Liu, JX Huang, D Yin
SIGIR'20, Proceedings of the 43rd International ACM SIGIR Conference on …, 2020
Deep reinforcement learning for search, recommendation, and online advertising: a survey
X Zhao, L Xia, J Tang, D Yin
ACM SIGWEB Newsletter, 4, 2019
AutoEmb: Automated embedding dimensionality search in streaming recommendations
X Zhao, C Wang, M Chen, X Zheng, X Liu, J Tang
ICDM'21, Proceedings of the 21st International Conference on Data Mining, 2020
AutoDim: Field-aware Embedding Dimension Search in Recommender Systems
X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long
WWW'21, Proceedings of the Web Conference 2021, 3015-3022, 2021
Graph Trend Networks for Recommendations
W Fan, X Liu, W Jin, X Zhao, J Tang, Q Li
SIGIR'22, Proceedings of the 45th International ACM SIGIR Conference on …, 2022
Crime in urban areas: A data mining perspective
X Zhao, J Tang
ACM SIGKDD Explorations Newsletter 20 (1), 1-12, 2018
Whole-Chain Recommendations
X Zhao, L Xia, L Zou, H Liu, D Yin, J Tang
CIKM'20, Proceedings of the 29th ACM International Conference on Information …, 2020
Automated embedding size search in deep recommender systems
H Liu*, X Zhao*, C Wang, X Liu, J Tang
SIGIR'20, Proceedings of the 43rd International ACM SIGIR Conference on …, 2020
Identifying effective multiple spreaders by coloring complex networks
X Zhao, B Huang, M Tang, H Zhang, D Chen
EPL (Europhysics Letters) 108 (6), 68005, 2015
Automated self-supervised learning for graphs
W Jin, X Liu, X Zhao, Y Ma, N Shah, J Tang
ICLR'22, Proceedings of the 10th International Conference on Learning …, 2022
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'21, 2021 IEEE 37th International Conference on Data Engineering, 1583-1594, 2021
Taxi driving behavior analysis in latent vehicle-to-vehicle networks: A social influence perspective
T Xu, H Zhu, X Zhao, Q Liu, H Zhong, E Chen, H Xiong
KDD'16, Proceedings of the 22nd ACM SIGKDD International Conference on …, 2016
Jointly learning to recommend and advertise
X Zhao, X Zheng, X Yang, X Liu, J Tang
KDD'20, Proceedings of the 26th ACM SIGKDD International Conference on …, 2020
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