Publications

* represents Co-first author,# represents Corresponding author

2026

  1. Conference
    Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
    Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xianyu Zhao, Xiuqiang He, and Zhong Ming
    In Proceedings of the 19th ACM International Conference on Web Search and Data Mining, WSDM , 2026

2025

  1. Conference
    Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
    Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, and Ruixuan Li
    In 39th Annual Conference on Neural Information Processing Systems, NeurIPS, 2025
  2. Conference
    Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
    Ziqiang Cui, Yunpeng Weng, Xing Tang#, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, and Chen Ma#
    In 39th Annual Conference on Neural Information Processing Systems, NeurIPS, 2025
  3. Conference
    Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction
    Xing Tang, Chaohua Yang*, Yuwen Fu*, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, and Xiuqiang He
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD , 2025
  4. Conference
    Timing is important: Risk-aware Fund Allocation based on Time-Series Forcasting
    Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, and Xing Tang
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD, 2025
  5. Conference
    Scenario Shared Instance Modeling for Click-through Rate Prediction
    Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, and Zhong Ming
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD , 2025
  6. Conference
    Invariant Deep Uplift Modeling for Incentives Assignment in Online Marketing via Probability of Necessity and Sufficiency
    Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang#, and Xiuqiang He#
    In 42nd International Conference on Machine Learning, ICML, 2025
  7. Conference
    Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
    Shiwei Li, Xiandi Luo, Xing Tang#, Haozhao Wang#, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, and Ruixuan Li#
    In 42nd International Conference on Machine Learning, ICML, 2025
  8. Conference
    The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
    Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, and Ruixuan Li
    In 42nd International Conference on Machine Learning, ICML, 2025
  9. Conference
    Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
    Ziqiang Cui, Yunpeng Weng, Xing Tang#, Fuyuan Lyu, Dugang Liu, Xiuqiang He, and Chen Ma#
    In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR, 2025
  10. Conference
    Multi-scenario Instance Embedding Learning for Deep Recommneder Systems
    Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, and Ming Zhong
    In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR, 2025
  11. Conference
    A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
    Xing Tang, Yunpeng Weng*, Fuyuan Lyu*, Dugang Liu, and Xiuqiang He
    In Database Systems for Advanced Applications - 30th International Conference, DASFAA , 2025
  12. Conference
    Policy-aware Reward Modeling with Uncertainty-Gradient based Data Augmentation
    Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, and Ji-Rong Wen
    In The Thirteenth International Conference on Learning Representations, ICLR , 2025
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  13. Conference
    Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
    Kexin Zhang, Fuyuan Lyu, Xing Tang#, Dugang Liu#, Chen Ma, Kaize Ding, Xiuqiang He, and Xue Liu
    In Proceedings of the 18th ACM International Conference on Web Search and Data Mining, WSDM , 2025
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2024

  1. Conference
    OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
    Yunpeng Weng*, Xing Tang*, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, and Xiuqiang He
    In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM , 2024
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  2. Conference
    End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
    Zexu Sun, Hao Yang, Dugang Liu#, Yunpeng Weng, Xing Tang#, and Xiuqiang He
    In Proceedings of the 18th ACM Conference on Recommender Systems, RecSys, 2024
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  3. Conference
    Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
    Xing Tang, Yang Qiao*, Fuyuan Lyu*, Dugang Liu, and Xiuqiang He
    In Proceedings of the 18th ACM Conference on Recommender Systems, RecSys, 2024
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  4. Conference
    Masked Random Noise for Communication-Efficient Federated Learning
    Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, and Ruixuan Li
    In Proceedings of the 31st ACM International Conference on Multimedia, MM, 2024
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  5. Conference
    Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing
    Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, and Chen Ma
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD , 2024
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  6. Conference
    FedBAT: Communication-efficient Federated Learning via Learnable Binarization
    Shiwei Li, Wenchao Xu, Haozhao Wang#, Xing Tang#, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, and Ruixuan Li#
    In 41st International Conference on Machine Learning, ICML, 2024
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  7. Conference
    AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems
    Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, and Zhong Ming
    In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR, 2024
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  8. Conference
    Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing
    Zexun Sun, Dugang Liu, Xing Tang, Yunpeng Weng, and Xiuqiang He
    In Database Systems for Advanced Applications - 29th International Conference, DASFAA, 2024
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  9. Conference
    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
    In Proceedings of the ACM Web Conference 2024,WebConf, 2024
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  10. Conference
    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
    In Proceedings of the 2024 SIAM International Conference on Data Mining,SDM, 2024
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  11. Journal
    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, 2024
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  12. Conference
    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
    In Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM, 2024
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2023

  1. Conference
    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
    In 37th Annual Conference on Neural Information Processing Systems, NeurIPS, 2023
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  2. Conference
    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
    In Proceedings of The 30th ACM International Conference on Multimedia, MM, 2023
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  3. Conference
    OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction
    Xing Tang, Yang Qiao*, Yuwen Fu*, Fuyuan Lyu, Dugang Liu, and Xiuqiang He
    In European Conference on Machine Learning and Knowledge Discovery in Databases, ECML-PKDD, 2023
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  4. Workshop
    Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms
    Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, and Xiuqiang He
    In International Workshop on Deep Learning Practice for High-Dimensional Sparse Data, DLP@Recsys, 2023
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  5. Conference
    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
    In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys, 2023
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  6. Conference
    Explicit Feature Interaction-aware Uplift Network for Online Marketing
    Dugang Liu, Xing Tang#, Han Gao, Fuyuan Lyu, and Xiuqiang He#
    In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD, 2023
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  7. Conference
    Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing
    Yunpeng Weng*, Xing Tang*, Liang Chen, and Xiuqiang He
    In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR, 2023
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  8. Conference
    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
    In Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI, 2023
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  9. Conference
    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
    In Proceedings of the ACM Web Conference 2023, WebConf, 2023
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  10. Conference
    Optimizing Feature Set for Click-Through Rate Prediction
    Fuyuan Lyu*, Xing Tang*, Dugang Liu, Liang Chen, Xiuqiang He, and Xue Liu
    In Proceedings of the ACM Web Conference 2023, WebConf, 2023
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  11. Conference
    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
    In Database Systems for Advanced Applications - 28th International Conference, DASFAA, 2023
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2022

  1. Conference
    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
    In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, CIKM, 2022
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  2. Conference
    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
    In 38th IEEE International Conference on Data Engineering, ICDE, 2022
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2021

  1. Journal
    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
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2020

  1. Conference
    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
    In 21st IEEE International Conference on Mobile Data Management, MDM, 2020
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2016

  1. Journal
    A Data-Based Approach to Discovering Multi-Topic Influential Leaders
    Xing Tang, Qiguang Miao, Shangshang Yu, and Yining Quan
    PLOS ONE, Jul 2016
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2015

  1. Journal
    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, Jul 2015
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2014

  1. Conference
    A Novel Email Virus Propagation Model with Local Group
    Qiguang Miao, Xing Tang, and Yi-Ning Quan
    In IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing, UIC, Jul 2014
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