Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam, “Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation”, Proc. of Empirical Methods in Natural Language Processing (EMNLP), 2024.[PDF] [CODE]

Yongsen Zheng, Guohua Wang, Yang Liu, Liang Lin, “Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation”, Proc. of ACM International Conference on Multimedia (ACM MM), 2024. [PDF][CODE]

Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin, “HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation”, Proc. of the Association for Computational Linguistics (ACL), 2024.[PDF] [CODE]

Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin, “FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2024. [PDF] [CODE]

Yongsen Zheng, Jinghui Qin, Pengxu Wei, Ziliang Chen, Liang Lin, “CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2023.3299929, 2023. [PDF] [CODE]

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin, “Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2023.3276395, 2023. [PDF] [CODE]

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin, “Graph-Convolved Factorization Machines for Personalized Recommendation”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. [PDF] [CODE]

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin, “Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2024. [PDF] [CODE]

Mingjie Qian, Yongsen Zheng*, Jinghui Qin, Liang Lin, “HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System”, Proc. of Empirical Methods in Natural Language Processing (EMNLP), 2023.[PDF] [CODE]

Xin Jin, Wu Zhou, Jinyu Wang, Duo Xu, Yongsen Zheng*, “An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation”, Proc. of ACM International Conference on Multimedia (ACM MM), 2023. [PDF] [CODE]