Xing Tang
Xing Tang
Tencent, Xidian University
Verified email at - Homepage
Cited by
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Predicting individual retweet behavior by user similarity: a multi-task learning approach
X Tang, Q Miao, Y Quan, J Tang, K Deng
Knowledge-Based Systems 89, 681-688, 2015
Mobile app cross-domain recommendation with multi-graph neural network
Y Ouyang*, B Guo, X Tang*, X He, J Xiong, Z Yu
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (4), 1-21, 2021
A denoising algorithm via wiener filtering in the shearlet domain
P Xu, Q Miao, X Tang, J Zhang
Multimedia tools and applications 71, 1529-1558, 2014
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
F Lyu*, X Tang*, H Zhu, H Guo, Y Zhang, R Tang, X Liu
Proceedings of the 31st ACM International Conference on Information …, 2022
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction
F Lyu*, X Tang*, H Guo, R Tang, X He, R Zhang, X Liu
2022 IEEE 38th International Conference on Data Engineering (ICDE), 1450-1462, 2022
Optimizing Feature Set for Click-through Rate Prediction
F Lyu*, X Tang*, D Liu, L Chen, X He, X Liu
Proceedings of the ACM Web Conference 2023, 3386–3395, 2023
Adaptive low-precision training for embeddings in click-through rate prediction
S Li, H Guo, L Hou, W Zhang, X Tang, R Tang, R Zhang, R Li
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4435-4443, 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing
D Liu, X Tang*, H Gao, F Lyu, X He*
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
D Liu*, P Cheng*, H Zhu*, X Tang*, Y Chen, X Wang, W Pan, Z Ming, ...
Proceedings of the ACM Web Conference 2023, 1673–1682, 2023
AutoConjunction: Adaptive model-based feature conjunction for CTR prediction
CY Chang*, X Tang*, BW Yuan, JY Hsia, Z Liu, Z Dong, X He, CJ Lin
2020 21st IEEE International Conference on Mobile Data Management (MDM), 202-209, 2020
Information propagation with retweet probability on online social network
X Tang, Y Quan, Q Miao, R Hou, K Deng
Intelligent Computation in Big Data Era: International Conference of Young …, 2015
Detecting circles on ego network based on structure
Q Miao, X Tang, Y Quan, K Deng
2014 Tenth International Conference on Computational Intelligence and …, 2014
Embedding Compression in Recommender Systems: A Survey
S Li, H Guo, X Tang, R Tang, L Hou, R Li, R Zhang
ACM Computing Surveys 56 (5), 1-21, 2024
A data-based approach to discovering multi-topic influential leaders
X Tang, Q Miao, S Yu, Y Quan
Plos one 11 (7), e0158855, 2016
Two-stage target locating algorithm in three dimensional wsns under typical deployment schemes
L Mao, J Du, H Liu, D Guo, X Tang, N Wei
Wireless Algorithms, Systems, and Applications: 5th International Conference …, 2010
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction
X Tang*, Y Qiao*, Y Fu*, F Lyu, D Liu, X He
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
Feature representation learning for click-through rate prediction: A review and new perspectives
F Lyu, X Tang, D Liu, H Wu, C Ma, X He, X Liu
arXiv preprint arXiv:2302.02241, 2023
RecDCL: Dual Contrastive Learning for Recommendation
D Zhang, Y Geng, W Gong, Z Qi, Z Chen, X Tang, Y Shan, Y Dong, J Tang
Proceedings of the ACM on Web Conference 2024, 3655–3666, 2024
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
D Liu*, C Yang*, X Tang*, Y Wang, F Lyu, W Luo, X He, Z Ming, X Zhao
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction
Y Li*, X Tang*, B Chen*, Y Huang, R Tang, Z Li
Proceedings of the 17th ACM Conference on Recommender Systems, 183-194, 2023
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