CHIME: A Compressive Framework for Holistic Interest Modeling.
CoRR, April, 2025
BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation.
CoRR, April, 2025
Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Tutorial: Data Denoising Metrics in Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Soft Retargeting Network for Click Through Rate Prediction.
CoRR, 2022
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction.
CoRR, 2022
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022