Xing Tang

Publications( ^* represents co-first author, ^# represents corresponding author. )

Journal & Conference

1. AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems

   Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang , Xiuqiang He, and Zhong Ming

   Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024 | [ ]
2. Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing

   Zexun Sun, Dugang Liu, Xing Tang , Yunpeng Weng, and Xiuqiang He

   Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024 | [ ]
3. RecDCL: Dual Contrastive Learning for Recommendation

   Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang , Ying Shan, Yuxiao Dong, and Jie Tang

   Proceedings of the ACM Web Conference 2024,WebConf 2024 | [ Code ]
4. Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks

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

   Proceedings of the 2024 SIAM International Conference on Data Mining,SDM 2024 | [ HTML PDF ]
5. Embedding Compression in Recommender Systems:A Survey

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

   ACM Computing Surveys | [ HTML ]
6. 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, and Xiangyu Zhao

   Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024 | [ HTML PDF ]
7. Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network

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

   37th Annual Conference on Neural Information Processing Systems, NeurIPS 2023 | [ HTML PDF Code ]
8. Prior-guided Accuracy-bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation

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

   Proceedings of The 30th ACM International Conference on Multimedia, MM 2023 | [ HTML PDF ]
9. OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction

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

   European Conference on Machine Learning and Knowledge Discovery in Databases, ECML-PKDD 2023 | [ HTML PDF ]
10. Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms

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

    International Workshop on Deep Learning Practice for High-Dimensional Sparse Data, DLP@Recsys | [ HTML ]
11. AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction

    Yujun Li*, Xing Tang^* , Bo Chen*, Yimin Huang, Ruiming Tang, and Zhenguo Li

    Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 | [ HTML PDF ]
12. Explicit Feature Interaction-aware Uplift Network for Online Marketing

    Dugang Liu, Xing Tang^# , Gao Han, Fuyuan Lyu, and Xiuqiang He#

    Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023 | [ HTML PDF Code ]
13. Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing

    Yunpeng Weng*, Xing Tang^* , Liang Chen, and Xiuqiang He

    Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023 | [ HTML PDF ]
14. 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, and Ruixuan Li

    Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023 | [ HTML PDF ]
15. 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, and Xiuqiang He

    Proceedings of the ACM Web Conference 2023, WebConf 2023 | [ HTML PDF Code ]
16. Optimizing Feature Set for Click-Through Rate Prediction

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

    Proceedings of the ACM Web Conference 2023, WebConf 2023 | [ HTML PDF Code ]
17. Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation

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

    Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023 | [ HTML PDF ]
18. OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction

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

    Proceedings of the 31st ACM International Conference on Information & Knowledge Management, CIKM 2022 | [ HTML PDF Code ]
19. 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, and Xue Liu

    38th IEEE International Conference on Data Engineering, ICDE 2022 | [ HTML PDF Code ]
20. Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network

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

    ACM Transaction on Knowledge Discovery from Data 2021 | [ HTML PDF ]
21. 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, and Chih-Jen Lin

    21st IEEE International Conference on Mobile Data Management, MDM 2020 | [ HTML ]
22. A Data-Based Approach to Discovering Multi-Topic Influential Leaders

    Xing Tang , Qiguang Miao, Shangshang Yu, and Yining Quan

    PLOS ONE 2016 | [ HTML ]
23. Predicting individual retweet behavior by user similarity: A multi-task learning approach

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

    Knowledge-Based System 2015 | [ HTML ]
24. A Novel Email Virus Propagation Model with Local Group

    Qiguang Miao, Xing Tang , and Yi-Ning Quan

    IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing, UIC 2014 | [ HTML ]

Preprint

1. Robust Long-Tailed Learning via Label-Aware Bounded CVaR

   Hong Zhu, Runpeng Yu, Xing Tang , Yifei Wang, Yuan Fang, and Yisen Wang

   arXiv preprint arXiv.2308.15405 2023 | [ arXiv PDF ]
2. 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, and Xue Liu

   arXiv preprint arXiv.2302.02241 2023 | [ arXiv ]
3. Towards Automated Negative Sampling in Implicit Recommendation

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

   arXiv preprint arXiv.2311.03526 2023 | [ arXiv ]
4. Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation

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

   arXiv preprint arXiv.2403.17442 2024 | [ arXiv ]