Xing Tang

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Senior Researcher, Tencent
xing.tang [at] hotmail.com, shawntang [at] tencent.com
Google scholar | DBLP | OpenReview | Github

Dr. Xing Tang is currently a Senior Researcher at Tencent. He obtained his Ph.D. from Computer Science, Xidian University in 2016, under the supervision of Prof. Qiguang Miao. After graduation, He joined Huawei Noah’s Ark Lab, and worked with Dr.Xiuqiang He and Dr.Ruiming Tang. He also worked in Tencent ARC Lab with Dr.Ying Shan for a while. Now he works for FiT, Tencent and focus on large language model and recommendation. His research interests mainly focus on building recommender systems and uplift modeling for financial products, finanical large language model.

Research interest: Recommendation, Uplift Modeling, Large Language Model.

Announcement: Interested in internship or collaboration. You can contact me if you are interested!

news

May 17, 2025 Two papers about time series and cross-domain recommendation are accepted by KDD 2025 ADS track(February Cycle).
May 02, 2025 Three papers about uplift model, large language model and federated learning are accepted by ICML 2025.
Apr 05, 2025 Two papers about LLM for recommendation and Multi-scenario recommendation is accepted by SIGIR 2025.
Mar 19, 2025 I will serve as PC member for RecSys 2025 and CIKM 2025.
Mar 13, 2025 I will serve as PC member for ACML 2025 and IEEE BigData 2025.
Mar 05, 2025 One paper about financial time series forcasting is accepted by Financial AI@ICLR 2025.
Feb 18, 2025 I will serve as PC member for Neurips 2025.
Jan 25, 2025 One paper about online fund recommendation is accepted by DASFAA 2025 industry track.
Jan 23, 2025 One paper about reward modeling for LLM is accepted by ICLR 2025.
Jan 13, 2025 I will serve as AC for KDD 2025 ADS track and PC member for KDD 2025 Research track (Febrary Cycle).
Jan 11, 2025 I will serve as PC member for SIGIR 2025.
Dec 20, 2024 I will serve as PC member for ECML-PKDD 2025.
Dec 17, 2024 I will serve as PC member for IJCAI 2025.
Dec 12, 2024 I will serve as PC member for ICML 2025.
Oct 24, 2024 One paper about fusion learning for CTR prediction is accepted by WSDM 2025.
Aug 16, 2024 I will serve as PC member for ICLR 2025.
Aug 14, 2024 I will serve as PC member for WebConf 2025.
Jul 22, 2024 Two papers about multitask recommendation and uplift modeling are accepted by RecSys 2024.
Jul 17, 2024 One paper about LTV prediction is accepted by CIKM 2024.
Jul 16, 2024 One paper about compression for federated learning is accepted by MM 2024.
Jun 11, 2024 I will serve as PC member for AAAI 2025.
Apr 16, 2024 I will serve as PC member for MM 2025.
Mar 11, 2024 I will serve as PC member for CIKM 2024 and IEEE BigData’24.
Sep 22, 2023 One paper about feature interaction for deep sparse network is accepted by Neurips 2023.
Jun 07, 2023 One paper about multi-domain recommendation is accepted by ECML PKDD 2023.

selected publications

  1. Journal
    Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction
    Tang Xing, Yang* Chaohua, Fu* Yuwen, Ao Dongyang, Li Shiwei, Lyu Fuyuan, Liu Dugang, and He Xiuqiang
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD , 2025
  2. Conference
    Timing is important: Risk-aware Fund Allocation based on Time-Series Forcasting
    Lyu Fuyuan, Du Linfeng, Weng Yunpeng, Ying Qiufang, Xu Zhiyan, Zou Wen, Wu Haolun, He Xiuqiang, and Tang Xing
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD, 2025