Haocheng DouPersonal academic homepage of Haocheng Dou.https://hcdou.gitlab.io/[Publication] AdaPass: Adaptive Low-Pass and High-Pass Spectral Graph Filters for Complementary Recommendationhttps://hcdou.gitlab.io/publications/adapass/https://hcdou.gitlab.io/publications/adapass/Published in Chinese Conference on Information Retrieval (CCIR 2026), acceptedFri, 14 Aug 2026 00:00:00 GMT[Publication] DA2-Unlearn: Dual-Adaptive Forget-Repair-Based Recommendation Unlearninghttps://hcdou.gitlab.io/publications/da2-unlearn/https://hcdou.gitlab.io/publications/da2-unlearn/Published in Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '26)Sun, 09 Aug 2026 00:00:00 GMT[Publication] Prototype-based Recommendation Method with Uniformity Constraints and Importance Balancing (Chinese)https://hcdou.gitlab.io/publications/protomf-plus-plus/https://hcdou.gitlab.io/publications/protomf-plus-plus/Published in Journal of Shandong University (Natural Science), 61(3): 75-85Wed, 18 Mar 2026 00:00:00 GMT[Publication] Measuring Interaction-Level Unlearning Difficulty for Collaborative Filteringhttps://hcdou.gitlab.io/publications/unlearning-difficulty/https://hcdou.gitlab.io/publications/unlearning-difficulty/Published in Proceedings of the 19th ACM Conference on Recommender Systems (RecSys '25), pp. 279-288Sun, 07 Sep 2025 00:00:00 GMT