Liu, Dugang

1. Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
   2023/09/03 by Lei Li, Yongfeng Zhang, Li, Lei +5 · 28 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
2. Explicit Feature Interaction-aware Uplift Network for Online Marketing
   2023/06/01 by Dugang Liu, Xing Tang, Liu, Dugang +7 · 5 citations
   Business, Management and Accounting · Computer Science · #FOS: Computer and information sciences #FinTech, Crowdfunding, Digital Finance #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
3. Optimizing Feature Set for Click-Through Rate Prediction
   2023/01/26 by Fuyuan Lyu, Lyu, Fuyuan, Xing Tang +9 · 4 citations
   Computer Science · Materials Science · Social Sciences · #Advanced Computing and Algorithms #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Materials Science
4. End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
   2024/08/21 by Zexu Sun, Sun, Zexu, Yang, Hao +8 · 5 citations
   Business, Management and Accounting · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Supply Chain and Inventory Management
5. Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
   2024/11/24 by Kexin Zhang, Zhang, Kexin, Fuyuan Lyu +13 · 4 citations
   Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Nuclear Physics and Applications
6. FLEN: Leveraging Field for Scalable CTR Prediction
   2019/11/12 by Chen, Wenqiang, Zhan, Lizhang, Ci, Yuanlong +3 · 1 citation
   #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
7. OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
   2024/08/16 by Yunpeng Weng, Weng, Yunpeng, Xing Tang +11 · 3 citations
   Business, Management and Accounting · Decision Sciences · #Consumer Market Behavior and Pricing #Customer churn and segmentation #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Stock Market Forecasting Methods
8. Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
   2025/03/06 by Cui, Ziqiang, Weng, Yunpeng, Tang, Xing +8 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
9. Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset
   2023/03/21 by Liu, Dugang, Cheng, Pengxiang, Lin, Zinan +6 · 1 citation
   #FOS: Computer and information sciences #Information Retrieval (cs.IR)
10. Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization
    2023/10/07 by Zexu Sun, Bowei He, Sun, Zexu +11 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
    2024/03/26 by Xing Tang, Yang Qiao, Tang, Xing +7 · 1 citation
    Decision Sciences · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Personal Information Management and User Behavior
12. Benchmarking for Deep Uplift Modeling in Online Marketing
    2024/06/01 by Liu, Dugang, Tang, Xing, Qiao, Yang +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)