Xiangyu Zhao
Xiangyu Zhao
Assistant Professor, City University of Hong Kong
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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
Modeling temporal-spatial correlations for crime prediction
X Zhao, J Tang
CIKM'17, Proceedings of the 2017 ACM on Conference on Information and …, 2017
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
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
Deep reinforcement learning for search, recommendation, and online advertising: a survey
X Zhao, L Xia, J Tang, D Yin
ACM SIGWEB Newsletter, 4, 2019
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
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
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
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
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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