2025
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation.
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CoRR, March, 2025
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation.
CoRR, March, 2025
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Scenario Shared Instance Modeling for Click-through Rate Prediction.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
2024
Teaching content recommendations in music appreciation courses via graph embedding learning.
Int. J. Mach. Learn. Cybern., September, 2024
Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?
ACM Trans. Knowl. Discov. Data, August, 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems.
CoRR, 2024
Masked Random Noise for Communication Efficient Federaetd Learning.
CoRR, 2024
Benchmarking for Deep Uplift Modeling in Online Marketing.
CoRR, 2024
A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation.
CoRR, 2024
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms.
CoRR, 2024
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Masked Random Noise for Communication-Efficient Federated Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing.
Proceedings of the Database Systems for Advanced Applications, 2024
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
A Cooperative Co-Evolution Algorithm with Variable-Importance Grouping for Large-Scale Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Transfer learning for collaborative recommendation with biased and unbiased data.
Artif. Intell., November, 2023
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset.
ACM Trans. Inf. Syst., October, 2023
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data.
IEEE Trans. Knowl. Data Eng., August, 2023
Debiased Representation Learning in Recommendation via Information Bottleneck.
Trans. Recomm. Syst., March, 2023
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives.
CoRR, 2023
Optimizing Feature Set for Click-Through Rate Prediction.
Proceedings of the ACM Web Conference 2023, 2023
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data.
Proceedings of the ACM Web Conference 2023, 2023
Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction.
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.
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.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization.
Proceedings of the IEEE International Conference on Data Mining, 2023
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023
2022
Spiral of Silence and Its Application in Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022
User-Event Graph Embedding Learning for Context-Aware Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback.
Proceedings of the International Joint Conference on Neural Networks, 2022
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Augmenting Legal Judgment Prediction with Contrastive Case Relations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Mitigating Confounding Bias in Recommendation via Information Bottleneck.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Transfer Learning in Collaborative Recommendation for Bias Reduction.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
2020
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
2019
Spiral of Silence in Recommender Systems.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
2018
Recommendation With Social Roles.
IEEE Access, 2018