Xing Tang

According to our database, Xing Tang authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Embedding Compression in Recommender Systems: A Survey.

Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang

ACM Comput. Surv., May, 2024

Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation.

Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He

CoRR, 2024

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks.

Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma

CoRR, 2024

Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms.

Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He

CoRR, 2024

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.

Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Towards Automated Negative Sampling in Implicit Recommendation.

Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu

CoRR, 2023

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network.

Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu

CoRR, 2023

Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing.

Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He

CoRR, 2023

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives.

Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu

CoRR, 2023

Optimizing Feature Set for Click-Through Rate Prediction.

Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu

CoRR, 2023

Optimizing Feature Set for Click-Through Rate Prediction.

Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu

Proceedings of the ACM Web Conference 2023, 2023

DIWIFT: Discovering Instance-wise Influential Features for Tabular Data.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He

Proceedings of the ACM Web Conference 2023, 2023

Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing.

Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction.

Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction.

Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network.

Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation.

Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Explicit Feature Interaction-aware Uplift Network for Online Marketing.

Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation.

Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming

Proceedings of the Database Systems for Advanced Applications, 2023

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.

Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.

Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.

Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network.

Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu

ACM Trans. Knowl. Discov. Data, 2021

2020

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction.

Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

2019

Learning Cross-Domain Representation with Multi-Graph Neural Network.

Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu

CoRR, 2019

2015

Predicting individual retweet behavior by user similarity: A multi-task learning approach.

Xing Tang, Qiguang Miao, Yi-Ning Quan, Jie Tang, Kai Deng

Knowl. Based Syst., 2015

Information Propagation with Retweet Probability on Online Social Network.

Xing Tang, Yi-Ning Quan, Qiguang Miao, Ruihong Hou, Kai Deng

Proceedings of the Intelligent Computation in Big Data Era, 2015

2014

A denoising algorithm via wiener filtering in the shearlet domain.

Pengfei Xu, Qiguang Miao, Xing Tang, Junying Zhang

Multim. Tools Appl., 2014

A Novel Email Virus Propagation Model with Local Group.

Qiguang Miao, Xing Tang, Yi-Ning Quan

Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

Detecting Circles on Ego Network Based on Structure.

Qiguang Miao, Xing Tang, Yi-Ning Quan, Kai Deng

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014